1 sigma-algebra ไธ measure
1.1 -algebra [Fol 1.2]
ๆไปฌ (่ง my Math 395 notes) ๅทฒ็ป่ฏๆ: ๅจ ไธไธๅญๅจไธไธช measure function satisfying:
;
translate invariant
countably additivite
ๅ ่, ๅฏนไบๆฏๅฆ ็่ฟ็งๆ ๆณๅจๅ
ถๅน้ไธๅฎไน่ฏๅฅฝ็ measure function ็้ๅ, ๆไปฌ่ฆๅฎไนไธไธช , ไฝฟๅพๆไปฌ่ฝๅจ่ฟไธช power set ็ๅญ้ไธ, ๅฎไนไธไธช make sense ็ measure.
้ฆๅ
, ไธบไบๅฏนไบไธไธชไปปๆ็้ๅ ้ฝ่ฝๅจๅ
ถไธๅฎไน measure, ๆไปฌ่ฆ่่ๅจ ็ไธไธชไปไนๆ ท็ๅญ้็ฐไธๆๅธๆๅฎไน่ฟๆ ท็ measure.
ๅฏนไบ set , ่ขซ็งฐไธบ ไธ็ไธไธช -algebra, if ๅ ถๆปก่ถณ:
;
closed under complement: if then ;
closed under countable union: if then .
ๅฆๆ็ฌฌไธๆกๅนถไธๆปก่ถณ, ่ๆฏๅชๆปก่ถณ closed under finite union, ๅ็งฐ ๆฏ ไธ็ไธไธช algebra of sets . ๅฝ็ถ, -algebra ๆฏๆฏ algebra ไธฅๆ ผๆดๅผบ็ๆกไปถ.
ๆไปฌๅฎไน ็ไธไธชๅญ้็ฐไธบไธไธช -algebra ๅฆๆๅฎๅ
ๅซ็ฉบ้ๅนถ closed under complement and countable union. ไฝ่ฟๅนถไธๆฏ -algebra ็ๅ
จ้จๆง่ดจ. ่ฟไธไธชๆง่ดจ่ฟ่ดๆถตไบ: -algebra ไนไธๅฎๅ
ๅซ , ไธ closed under set difference, symmetric difference ไปฅๅ countable intersection.
ๅฏนไบ algebra, ๅฎไนๆไปฅไธ็ๆๆๆง่ดจ็ finite version.
Let be a -algebra on set .
Claim:
- Proof
Directly from def.
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- Proof
union: from def by leaving others as ;
intersection:setminus:
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- Proof
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- Proof
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Let be a collection of -algebra on , then is a -algebra on .
่ฟๆฏไธช trivial proof. ไฝๆฏๅฎๅ
ทๆไธๅฎ็่งฃไธ็ๅฏๅ.
ๆไปฌๅฏน -algebra ๆไธไธช็ด่ง็่งฃ: ๅฆๆๆไปฌๆณๆไธไบ้ๅๅๆไธไธช -algebra, ้ฃไน้ฆๅ
ๆไปฌๆๅฎไปฌ็่กฅ้ๆพ่ฟ่ฟไธช -algebra ้, ๅ
ถๆฌกๆไปฌๆ่ฟไบ้ๅ็ up to countable ็ไปปๆ็ปๅ็ๅนถ้ไนๆพ่ฟ่ฟไธช -algebra ้.
ๅ ่ๅณไพฟๆไปฌๆไธไบ -algebra ็ป intersect ่ตทๆฅ, ๅ
ถไธญๆฏไธช้ๅ็่กฅ้ๅ่ฟไบ้ๅ็ up to ctbl ็ไปปๆ็ปๅ็ๅนถ้ไนๅจ่ฟไธช intersection ้.
่ฟๆฏไธช้่ฆ็็ด่ง็่งฃ. ๆไปฌๆณๅฐ, ๅฆๆๆไปฌ่ฆๆไธไธช sigma-algebra ้็ไธ้จๅๅปๆ๏ผๅนถไฟๆๅฎไป็ถๆฏไธไธช sigma-algebra๏ผ้ฃไนๆไปฌๅพๆ่ฟไบ้ๅ็่กฅ้, ไปฅๅ่ฝๅค ctbly union ๆ่ฟไบ้ๅ็ๅฐ้ๅไนๅปๆ, ๅนถๅฏน่ฟไบๅฐ้ๅไน recursively ่ฟ่ก่ฟไธชๆไฝ.
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Given
We call
the -algebra generated by
1.2 Borel -algebra on and measure [Fol 1.2, finished; 1.3]
Recall: the -algebra generated by
is the smallsest -algebra containing .
if where is a -algebra, then .
if , then .
if , then .
trivial.
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For topological space , we define:
Borel -algebra on a topological space ๅฐฑๆฏ -algebra generated by the topology. Its members are called Borel sets. ๅฝ็ถ, ๆๆ็ open sets ๅ closed sets ้ฝๆฏ Borel sets.
1.2.1 generating Borel -algebra on
Let : ไธๆๆ็ open intervals;
: ไธๆๆ็ closed intervals;
: ไธๆๆ็ๅทฆๅผๅณ้ญ intervals;
: ไธๆๆ็ๅทฆ้ญๅณๅผ intervals;
: ไธๆๆ็ๅทฆๅผๅณๆ ็ intervals;
: ไธๆๆ็ๅทฆ้ญๅณๆ ็ intervals;
: ไธๆๆ็ๅทฆๆ ็ๅณๅผ intervals;
: ไธๆๆ็ๅทฆๆ ็ๅณ้ญ intervals;
ๅณ ไธ็ๆๆๅฝขๅผ็ interals.
ไปปๆไปฅไธ ้ฝๅฏไปฅ generate
ๆไปฌ recall: ๆๆ็ countable ไปฅๅ second countable ็ topological space ้ฝๅ
ทๆ Lindelรถf property: ไปปๆ open covering ้ฝๅญๅจไธไธช countable ็ subcovering.
Lindelรถf property ็ไธไธชๆจ่ฎบๅฐฑๆฏ, ๅจๅ
ทๆ Lindelรถf property ็ metric space ๆ่
second countable ็ space ไธญ, ไปปๆ open set ้ฝๅฏไปฅๅๆ countable ไธช open balls ็ union.
ๆไปฌๅจ elementary ็ real analysis ไธญๅทฒ็ปๅญฆ่ฟ, , ไปฅๅ
ถไฝไธบไพๅญ, ่ฟไบ intervals ๅฝผๆญคไน้ด้ฝๅฏไปฅ็ธไบ่ฝฌๆข.
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1.2.2 measure
Let be a set, be a -algebra on . We call a measurable space.
A measure on this measurable space is a function satisfying:
countable additive:
for disjoint seq of .
ๆไปฌ็งฐ ไธบไธไธช measure space.
ๅฏนไบไปปๆ็ , ๆไปฌๅฏไปฅๅฎไน:
่ฟไธช measure ๅซๅ counting measure.
Fix , ๅฏไปฅ define
่ฟไธช measure ๅซๅ the Dirac measure at .
็ปๅฎไธไธช ไธ็ๅฝๆฐ , ๆไปฌๅฏไปฅ้่ฟ่ฟไธชๅฝๆฐๆฅๅฎไน:
่ฟไธชๆตๅบฆไพ่ตไบๅฝๆฐๅผๆฅ่กจ็คบๆฏไธช็น็ๅ็น้็ measure, ๅนถ้่ฟไธไธช้ๅไธๆๆ็น็ๅ็น้ measure ็ธๅ ๅพๅฐ่ฟไธช้ๅๅจ่ฟไธชๅฝๆฐไธ็ measure. (็ผบ็น: ๆไปฌๅทฒ็ป็ฅ้, ๅฆๆไธไธชๅฝๆฐๅจไธไธช้ๅไธ็ๆญฃ้ๆฏ uncountable ็, ้ฃไน่ฟไธช้ๅไธ็่ฟไธชๆตๅบฆไธๅฎๆฏ .)
ไปฅไธๆฏ measure function ็ฑๅฎ็ๅฎไน็ไธคๆกๆง่ดจ(็ฉบ้ไธบ0ไปฅๅ ctbl additivity)ๆจๅฏผๅบ็ไธไบๅบๆฌๆง่ดจ:
Measure is finitely additive.
ๆพ็ถ, ctbl additive implies finite additive.
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่ๅไฝฟ็จ finite additive ๅฏๅพ. ่ฟๆฏไธไธช direct corollary of countable additivity.
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ๅฏนไบไปปไฝ measure space :
monotonicity:
Prooftrivial.
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countable subadditivity:
ProofBy setting , ่ๅ้่ฟ ctbl disjoint additivity ไธ monotonicity ๅฏๅพ
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continuous from above: ๅฆๆ
Proofไฝฟ็จ same trick as 2.
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countinuous from below: ๅฆๆ ไธๅญๅจๆไธช ไฝฟๅพ , ๅ
Proofๅ้ข็้ฝๆ ่ง, ็ดๅฐ็ฌฌไธไธช measure ็้ๅ, ๆฏๅฏ่ฝๅบ็ฐๅจๆๅ็ intersection ้็ๆๅคง้ๅ. ๆไปฌ Fix ่ฟไธช . ้่ฟๆ้ ่กฅ้็ๆนๅผ, ๆไบค่ฝฌไธบๅนถ, ไป่็จ (3) ๅพ่ฏ. Define: ไป่
่ฟ่
่ฟ่ by (3)
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Recall: the -algebra generated by
is the smallsest -algebra containing .
ไปฅไธๆฏ measure function ็ฑๅฎ็ๅฎไน็ไธคๆกๆง่ดจ(็ฉบ้ไธบ0ไปฅๅ ctbl additivity)ๆจๅฏผๅบ็ไธไบๅบๆฌๆง่ดจ:
Measure is finitely additive.
ๆพ็ถ, ctbl additive implies finite additive.
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่ๅไฝฟ็จ finite additive ๅฏๅพ. ่ฟๆฏไธไธช direct corollary of countable additivity.
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ๅฏนไบไปปไฝ measure space :
monotonicity:
Prooftrivial.
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countable subadditivity:
ProofBy setting , ่ๅ้่ฟ ctbl disjoint additivity ไธ monotonicity ๅฏๅพ
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continuous from above: ๅฆๆ
Proofไฝฟ็จ same trick as 2.
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countinuous from below: ๅฆๆ ไธๅญๅจๆไธช ไฝฟๅพ , ๅ
Proofๅ้ข็้ฝๆ ่ง, ็ดๅฐ็ฌฌไธไธช measure ็้ๅ, ๆฏๅฏ่ฝๅบ็ฐๅจๆๅ็ intersection ้็ๆๅคง้ๅ. ๆไปฌ Fix ่ฟไธช . ้่ฟๆ้ ่กฅ้็ๆนๅผ, ๆไบค่ฝฌไธบๅนถ, ไป่็จ (3) ๅพ่ฏ. Define: ไป่
่ฟ่
่ฟ่ by (3)
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Homework 1: on -algebra (39/40)
Borel vs Open
Let be a metric space such that every subset of is Borel set. Does it follow that every subset of is open? Give a proof or a counterexample.
It is not true.
Every subset of is Borel set . And We know , so it is equivalent to saying that .
So consider this counterexample: with the Euclidean metric.
Claim: every singleton set in is closed, thus in . This is because this only sequence in a singleton set is the point itself repeating, thus converging to itself, in the singleton set. This proves the claim.
And since is countable, every subset of is a countable union of singleton sets, thus by property of -algebra, every subset of is in . Thus:
But clearly, not every subset in is open. Consider any singleton set, as an example. Any open ball centered at is not contained in , thus contradicting the statement.
Restriction of a -algebra to a Subset
Let be a set, and a subset.
Given a -algebra on , prove that
is a -algebra on .
Given a -algebra on , prove that there exists a -algebra on such that .
Is the -algebra in (b) unique? Give a proof or a counterexample.
Since , , we have
Let , we must have s.t. . Since , we have , so . Since and , it implies , therefore .
Let be a sequence of subsets in . Then for each , we have for some . Then since .
Let be a -algebra on .
prove that there exists a -algebra on such that . Consider let
Then
We then prove that this is a -algebra on .
so .
Closed under complement: Let , we have , so .
Then , so .Closed under countable union: Let be a sequence in , then . for each . Hence
since is a -algebra on . Therefore, .
This is not unique.
Counterexample:Consider
are valid -algebra on .
Then we have , while is different from .
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Invariance Properties of the Borel -algebra on
Prove that is translation invariant, i.e., if is a Borel measurable set, then
is a Borel measurable set for every . (Hint: For any fixed , show that is a -algebra.)
Prove that is scaling invariant, i.e., if is a Borel measurable set, then
is a Borel measurable set for every .
(1)
Fix . Define
We want to show that . We first show that is a -algebra.
1. since .
2. is closed under complement: Let , then . The complement is also in . Observe
Since is Borel, its complement is Borel, hence is Borel, so .
3. is closed under countable unions: Let for , then . Thus
Hence . These three properties show that is a -algebra.
Since is open if is open in , contains all open sets. Since is the smallest -algebra containing all open sets in , we have: Hence suppose , then , so . This completes the proof of translation invariance.
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(2)
Fix . Case 1: , then if , and otherwise. Both (closed set) and is Borel set.
Case 2: . We define
We want to show that . We first show that is a -algebra.
1. since .
2. is closed under complement: Let , then , then is also in . Observe , so , therefore . 3. is closed under countable unions: Let for , then . Thus
Hence . These three properties show that is a -algebra.
Since , is open iff is open in , thus contains all open sets, so ,
Hence if , we have , therefore . This completes the proof of translation invariance.
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Hex and Such
Let be the set of real numbers in having a hexadecimal expansion with the digit 5 appearing infinitely many times, and the โdigitโ E appearing at most finitely many times. Prove that is a Borel set. (Hint: see p. 2 of Follandโs book.)
Define๏ผ
Then clearly
Hence it suffices to show that and are Borel sets, since intersection of two Borel sets is a Borel set. And thus it suffices to show that and are Borel sets. Note
, so the proof for and are about the same. We now show is a Borel set: We define
where each is one of the 16 hexadecimal digits . Then the set contains all real numbers between and , so actually it is an interval:
Since it is an interval, it is a Borel set on . And we define:
Then we have
So it suffices to prove that each is Borel set, since a countable union of Borel sets is Borel set.
Claim : any is a Borel set. To prove this, we fix an and define for each
Then we have
Thus each is a Borel set since it is a finite union of Borel set, which shows that is Borel set, since
This finishes the proof that is a Borel set, and by a similar argument, is a Borel set, and thus is a Borel set.
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Admissible Annuli generating
Define an admissible annulus in to be a set of the form
where , , and .
Prove that there are only countably many admissible annuli.
Prove that every open subset of is a countable union of (not necessarily disjoint) admissible annuli.
Prove that the Borel -algebra on is generated by the collection of admissible annuli.
(1)
Let
And we define
Since a Annuli defined by this is unique, this is a well-defined function; and since every admissible annulis can be defined by an element of , this map is surjective. Therefore , so is countable.
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(2)
Claim 1: every open set in is a countable union of open balls, each centered at some .
Proof for Claim 1:
Let be an open set in . Define
By definition, every point in have an open ball centered at it that is completely contained in , so we pick such ball for each . Since is dense in , for each and each corresponding , we can find a rational point such that . (Or more generally, as small as we wish.)
Let be chosen so that Then observe that
which follows from the triangle inequality.
For each , we define:
Now we have:
This is because for each each ,
And we also have the other direction:
since every is guaranteed to be the subset of some ball around some . All togethe we have
This finishes the proof of claim 1.
Claim 2: every open ball centered at some is a countable union of admissible annulises with the same center, together with another admissible annulis whose center is also rational. Proof for Claim 2: Let .
We have
-1, ่ฟ้ๅ็็ฅๆ้ฎ้ข, ๅ ไธบ ไธไธๅฎๆฏ rational ็, ไธ่ฟๆไปฌๅฏไปฅ็จ density of in ๆฅๅ. It remains to cover the center. Let such that , and . Then the annuli defined by the four parameters is contained in the and it covers . Therefore
This finishes the proof of Claim 2.
Combining Claim 1 and Claim 2, we can conclude that every open subset of is a countable union of admissible annuli.
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(3)
As defined,
Let
Every admissible annuli is open in , so
and since is a -algebra, we have
by the proposition proved in class. And by (2), any open set is a countable union of admissible annulis, therefore every open set is in since any countable union of sets in a -algebra is still in the set. So
This finishes the proof that
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Nur fรผr Verrรผckte
(Itโs really not necessary to attempt these problems. Do not hand them in!)
Let be a set, and define two operations on :
The โproductโ of two subsets is the intersection .
The โsumโ of two sets is the symmetric difference .
Prove that these operations endow with the structure of a commutative ring. What are the additive and multiplicative units? Prove that this ring is idempotent.
Let us say that a nonempty subset is a ring if it is closed under differences and finite unions. In other words, if , then and . Prove that a subset is an algebra iff it is a ring containing .
Prove that a nonempty subset is a ring iff it is a subring of . Also prove that it is an algebra iff it is a subring containing the multiplicative identity.
Let and be measurable spaces. Say that a map is measurable (with respect to the -algebras and ) if for every .
Prove that measurable spaces with measurable maps as morphisms form a category.
Try convincing an analyst that (a) is useful.
2 outer measure ไธ completion of a measurable space
2.1 complete measure space and outer measure [Fol 1.3, finished; 1.4]
ๅฏนไบ measure space , ๅ ถไธญ ๆฏ็ธๅบ็ measure,
ๆไปฌ็งฐ ไธบไธไธช null set, ๅฆๆ ;
ๆไปฌ็งฐ ไธบไธไธช subnull set, ๅฆๆๅญๅจๆไธช null set containing it.
ๆไปฌ็งฐไธไธช statement about ๆฏ almost everywhere (a.e.) ็, ๅฆๆ่ฟไธช statement ้คไบๅจๆไธช null set ไธไนๅค, ๅจ ไธๅคๅคๆ็ซ.
ๆไปฌ็งฐ ๆฏไธไธช complete measure space, ๅฆๆๅฎๅ ถไธญ็ไปปๆ subnull set ้ฝๆฏ null set. (ๅณๅฎ measurable)
ไธไธช not complete ็ measure space ็ไพๅญ:
่ฟไธชไพๅญไธญ, ่ฟไธคไธช้ๅไธๆฏ measurable ็, ไฝๆฏๅดๆฏ nullset (ๅ จ้) ็ๅญ้.
Suppose is a measure space.
Let
Claim:
is a -algebra, ๅนถไธๅจ ไธๅญๅจไธไธช unique ็ extension of .
่ฟไธ้จๅ็ proof ไปฅๅ remark ๅจ hw2. ่ฟ้, ็งฐไธบ completion of with respect to , ไปฅๅ ็งฐไธบ completion of .
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2.1.1 outer measure
An outer measure on is a function such that
monotone ()
countable subadditive ()
ๅจ่ฟไธคไธชๆกไปถ็็ผฉๅไธ, ๆไปฌ่งๅฎ outer measure ๅ
ทๆ monotonicity ๅ countable subadditivity. ๆณจๆ: measure ๆฌ่บซไนๆ่ฟไธชๆง่ดจ, ่ฟๆฏ measure ็ countable additivity ็ๆจ่ฎบ.
outer measure ็ๆไนๅจไบ, ๆไปฌ็ measure ๅชๅฎไนๅจ -algebra ไธ, ่ๆไปฌๆณ่ฆ็ปๆฏไธชๅญ้้ฝ่ตไบไธไธช่ฟไผผไบๆตๅบฆ็ไธ่ฅฟ.
2.1.2 induce outer measure out of a "elementary length function"
ๅฆ ไธบไธไธชๅ ๅซ ็้ๅ, ๅนถๅฎไน ไธบไธไธชๆปก่ถณ ็ๅฝๆฐ, ๅ
is an outer measure.
ๅๆๆ , ๅพๅฐ
monotonicity ๆพ็ถ, ๅ ไธบๅฆๆ , ้ฃไน ๅ inf ็่ฟไธช้ๅๆฏๅ ๅซไบ ็, ๅ ่ๅๅฐ็ inf ๆฏๅฐไบ็ญไบ็.
่ฏๆ ctbl subadditivity, ๆไปฌไฝฟ็จ็ปๅ ธ็ argument. ่ฟไธช statement ็ด่งไธๆฏๆพ็ถ็, ๅ ไธบๅฏนไธไธช seq of sets, ๆฏไธไธช้้ข้ฝๆไธไธช seq of covering, ้ฃไน่ฟไธช seq of seq of covering ๆปไฝไนๆฏ่ฟไธช seq union ็ไธไธช covering. ไธ่ฟๆไปฌไธ่ฝ่ฟไน่ฏด, ๅ ไธบ่ฟ้ๆไธไธช inf ๆไฝ็ๆขๅบ. ๆไปฅๆไปฌไปค , ๅฏนไบๆฏไธช ็ covering , ๆไปฌไปค , ๆๅๅฏไปฅๅพๅฐ . ็ฑไบ arbitrary, ๅพ่ฏ.
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ๆไปฌๅ ไธบ ไธๆๆ็ intervals, ๅนถๅ ไธบ interval ็ length, ๅฐฑๅพๅฐไบไธไธชๅคๆตๅบฆ. (ไนๅฐฑๆฏ Lebesgue outer measure)
2.2 -measurability and Carathรฉodoryโs Theorem [Fol 1.4]
2.2.1 -measurable
Given outer measure , ๆไปฌ็งฐ ๆฏ -measurable ็, if:
2.2.2 Carathรฉodoryโs Theorem
ๅฏนไบไปปๆ็ outer measure ,
is a -algebra.
ๅนถไธ, is a complete measure.
ๆไปฌ้ฆๅ ่ฏๆ่ฟไธช ๆฏไธไธช -algebra
by def.
closed under complement, by def of -measurablity. (ๅฎๅฏนไบ complement ๆฏๅฏน็งฐ็.)
ไธบ่ฏๆ closed under countable union, ๆไปฌ้ฆๅ prove it for two sets. ๅ่ฎพ , ไธ disjoint. Let . ๆไปฌๅทฒ็ฅ
ๆไปฌ WTS:
ๆไปฌๅฏนไบ , ๅฏไปฅๅพๅฐ:
By , ๅฏไปฅๅพๅฐ:
็ปๅไปฅไธๅไธช equations ๅฏไปฅๅพๅฐ
ๅ by countable subadditivity ๆ็ซ, ๆไปฌๅพ่ฏ closed under two union (ไป่ inductively closed under any finite union, ๅ ่ๆฏไธไธช algebra).
(Continuing the proof:) ็ฐๅจๆไปฌๅๆ่ฟไธช closed under finite union ๆจๅนฟๅฐ closed under countable union, ไปฅๆ ่ฏ ๆฏไธไธช -algebra. ๆณจๆๅฐ STS (suffices to show): closed under countable disjoint union. ๅ ไธบไปปๆไธ disjoint ็ไธคไธช้ๅ้ฝๅฏไปฅๆๅๆไธไธช disjoint ็้ๅ.
ๆไปฌไปค ไธบไธไธช ไธญ็ disjoint sequence, ๅนถๅฎไน , ๆไปฌ็ฑไธไธๆญฅ็็ป่ฎบ็ฅ้, for all . Define , Let , WTS: .
่่ , ๅ ไธบ inductively ๅฏๅพๅฐ:
ไป่๏ผ
by monotonicity (), ่ฟ้ๆฏไธไธช infinite sum, ๅนถไธ true for every , ๅ ่ๅฏไปฅๆจๅนฟๅฐ infinity, ๅพๅฐ
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This finishes the proof of being a -algebra. ๆไปฌๅๆถๅ็ฐ, ๆฏไธไธช complete measure on ๆฏไธไธช trivial fact after the proof, ๅ ไธบ taking , ๅฏไปฅๅพๅฐ
ๅนถไธ by monotonicity, ๅฏนไบไปปๆ็ , ไปปๅ , ้ฝๆ
ๅ ่
ๅพๅฐ . ไป่ๅพ่ฏ่ฟๆฏไธไธช complete measure.
2.3 premeasure and Hahn-Kolmogrov extension Theorem [Fol 1.4, finished]
ๆไปฌๅ็ฐ: ๆไบๅญ้็ฐไธ็ "length" ๅพๆๆพ, ๅนถไธไน็ฌฆๅ measure ็ๅฎไน, ไฝๆฏ่ฟไธชๅญ้็ฐๅดๅนถไธๆๆไธไธช -algebra. ๆฏๅฆ:
ไธ, ไปฅ interval ็ length ไฝไธบ measure, ๅพๆพ็ถ็ฌฆๅ measure function ็ๅฎไน, ไฝๆฏ ๅนถไธๆฏไธไธช -algebra, ๅ ไธบๅฎๅฏไปฅ้่ฟ ctbl union ๅบ open interval, ๅนถไธๅจ่ฟไธชๅญ้็ฐไธญ. ไธ่ฟ, ่ฟๆฏไธไธช algebra.
ๅ ๆญค, ๆไปฌๆณ่ฆไธไธชๆนๆณๆฅ extend a "measure" function on an algebra, to a measure on a -algebra.
็ปๅฎ ไธ็ไธไธช algebra of sets , ๆไปฌ็งฐ ไธบไธไธช premeasure, if
ctbl disjoint additive in
2.3.1 induce outer measure out of a premeasure: preserving on
Any premeasure can induce an outer measure:
ๅนถไธ, we have:
ๅนถไธ every set in is -measurable.
่ฟไธช outer measure ็ construction directly follows from Theoremย 2.5.
Proof that restricted to is : ไปค , ๅ่ฎพ , ๆไปฌไปค , ๅณๆ covering intersecting ๅๆ disjoint covering , ไป่็ฑ ็ ctbl disjoint additivity ๅฏๅพ, ่ฟไธไธชๆฐ covering ็ measure sum . ๅนถไธ็ฑไบ ๆฏไธไธช algebra, ่ฟไบ ไนๅจ ้้ข, ไป่ๅฎๆปก่ถณ monotonicty, then
Proof that every set in is -measurable: Fix , ๆไปฌๅไปปๆ . Let , by def of the outer measure, ๅญๅจไธไธช seq , ไฝฟๅพ ๅนถไธ . ๆ disjoint additivity of ๅฏๅพ, . ไป่ , ๅพ่ฏ. (ๅฎ้
ไธ่ฟๆฏไธช trivial argument, ้่ฟ argument ๆฅไธฅๆ ผ่ฏๆ.)
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2.3.2 Hahn-Kolmogrov Theorem
Let be a measure space.
ๅฆๆ , ๅ็งฐ ๆฏ finite ็.
ๅฆๆๅญๅจไธไธช sequence in ไฝฟๅพ ๅนถไธๆฏไธช , ๅ็งฐ ๆฏ -finite ็.
็ปๅฎไธไธช premeasure on algebra of , ไปฅๅๅ ถ induced outer measure , ๆไปฌไปค ๆ -algebra generated by a subset ็ๅฎไน,
่กจ็คบ -algebra generated by the algebra .
ๅนถไปค
then we have:
extends to
ๅณ:ๆฏ the largest extension of to (ๅณ: ๅฏนไบไปปๆๅ ถไป็ ไธ็ measure that extends to , ้ฝๆ for all );
ๅนถไธ if is -finite, ๅ ๆฏ the unique extension of to .
Proof of extends to :
่ฟไธช Statement directly follows from Theoremย 2.6(Carathรฉodoryโs Theorem) ไปฅๅไธไธไธช proposition Propositionย 2.1.
. ๆไปฌ้ฆๅ
็จ induce ๅบ , ๅ restrict to , ๅพๅฐไธไธช -algebra .
ๆณจๆๆญคๆถ: ็ฑไธไธไธช proposition Propositionย 2.1 ๅฏๅพ ไธญๆๆ้ๅ้ฝๆฏ -measurable ็, thus , ็ฑไบ ๆฏไธไธช -algebra, ็ฑ Lemmaย 2.2 ๅฏๅพ: .
. ็ฑ Carathรฉodoryโs Theorem ๅฏไปฅๅพๅฐ: ๆฏไธไธช measure, ไป่ ไนๆฏไธไธช measure(็ญไบๆ ้ๅถๅจไบไธไธชๆดๅฐ็ sub--algebra ไธ).
(Note: this is a trivial fact that if is a -algebra and is also a -algebra, then is a measure if given that is a -algebra on )
Proof of being the largest extension of to : ๅ่ฎพ ๆฏไธไธช ไธ็ -algebra s.t. .
Let . (WTS: , ๅณ .)
็ฑๅคๆตๅบฆ ็ๅฎไน, ๅฏนไบไปปๆ , ๅญๅจไธๅ้ๅ ๆปก่ถณ
็ฑไบ ๅจ ไธๅ ไธ่ด๏ผๅณ
ๅ ๆญค๏ผ
ๅฉ็จ ็ additivity ๅ monotoncity ๅพ
็ฑไบ arbitrary, ๅพๅฐ
(่ฏๆๆ่ทฏ: ๅจ ไธ ๅฐฑ็ญไบ induce ็ๅคๆตๅบฆ, ๅฏนไบๅ
ถไป็ extended measure, ๅ
ถไฝ็จๅจไธไธช้ๅไธ็ๆตๅบฆไธๅฎๅฐไบ็ญไบไปปๆ็ covering ็ premeasure ๅ, ่ๆไปฌๅฏไปฅ้่ฟๆงๅถ่ฟไธช covering ็ๆตๅบฆๅไธๅฎ็ๅคๆตๅบฆ็ๅทฎ่ท(since inf), ไป่ไฝฟๅพ่ฟไธชๆตๅบฆๅฐไบ็ญๅฎ็ๅคๆตๅบฆๅ ไธไธชๆ ้ๅฐ็ , ไป่ๅพ่ฏ.)
Proof of being the unique extension of to , provided that is -finite:
(recall is -finite ๅณ ) It remains to show that .
Continuing ไธไธไธช proof, we have:
ๆไปฌๅช่ฆ controling ้ผ่ฟ 0, ๅณๅฏๅพๅฐๅๅ็ไธ็ญๅผๅ
ณ็ณป.
(่ฏๆๆ่ทฏ: ๆไปฌ่ฏๆไบ ไนๅ, ๆณจๆๅฐ covering set ๅ ไน้ด็ๅทฎ้็ -measure ่ช็ถไนๅฐไบ็ญไบ่ฟไธชๅทฎ้็ -measure, which can approximate 0.)
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Homework 2: on Carathรฉodoryโs and Hahn-Holmogrov Thm(40/40)
None of the following questions will be graded. Do them, but do not hand them in.
The BorelโCantelli Lemma
Let be a measure space. Let for , and suppose that
(a) Prove that , where
(By the way, why is measurable?)
(b) Conversely, is it true that if for , and , then ? Provide a proof or a counterexample. (Wrong)
The Completion of a Measure Space
Let be a measure space, and set
(a) Prove that is a -algebra. (b) Define if . Prove that is a well-defined measure on . (c) Prove that extends (i.e., if ). (d) Prove that is the unique extension of to . In other words, prove that if is another measure on that extends , then . (e) Prove that is complete. (f) Suppose is another complete measure space that extends (i.e., and ). Show that and . Hint: Start by reading Theorem 1.9 in Folland.
็ฅ.(ๅปๅป)
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The HahnโKolmogorov Extension as a Completion
Let be a -finite measure pre-measure space, and its HahnโKolmogorov extension. Prove that is the completion of its restriction to the -algebra generated by .
Proved in lec notes.
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Some of the following questions will be graded. Do them, and do hand them in.
็ๅฎไนๅนถ้ redundant
Let be a measurable space. Is the condition in the definition of a measure on redundant? In other words, if is a function such that
for any disjoint subsets , , does it follow that ? If not, what can you say?
It does not follow.
Counterexample: Consider .
This measure satisfies the countably disjoint additivity condition, since for every disjoint sequence of sets in , has infinite measure.
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measurable set seq ็ limit ไน measurable (ไธๅฆๆ seq tail -finite limit commute )
Let be a measure space, and let . Assume that the sets converge to the set in the sense that: - If , then for all but finitely many ; - If , then for all but finitely many .
(a) Prove that is measurable, that is, .
Deduing from the conditions: If , then for all but finitely many ; If , then for all but finitely many . if for all but finitely many then Thus
Claim1: For any sequence of sets , we have
Combining claim (1) with (2.1) we have
Claim 2: For any sequence of sets in a -algebra, and is also in the -algebra.
Proof of Claim 2: This follows from the def and fact that union and intersection of a countable sequence sets in a -algebra is also in this -algebra. We have
This finishes the proof of Claim 2.
Combining claim 2 with (2.2), , this finishes the proof.
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(b) Prove that if there exists such that , then .
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(c) Give an example showing that the condition in (b) is necessary.
Let be the Lebesgue measure defined on . We set for each that
Since this is an interval, it is Lebesgue measurable. Note that no element of any show up infinitely many times in the sequence. So
So , we have . But we have since it is true for every .
In this case, , which causes (b) to fail.
Hint: In analysis, it is often fruitful to use and to study limits.
measure space of two elements
Let be a set with two elements, for example, .
(a) Find all -algebras on .
trivial -algebra:
power set:
These are the only -algebras on .
(b) Let be a -algebra on , and a measure on . Is necessarily complete? Provide a proof or a counterexample.
It is not necessarily complete.
Cosider the trivial -algebra:, and set as that . This makes a null set, so are subnull sets, but they are not measurable by .
(c) Find all outer measures on . For each outer measure on , find the -algebra of -measurable sets (see Carathรฉodoryโs theorem).
Suppose is an outer measure on . Since only has four elements: , , , ; and the outer measure of is 0, so we first parametrize by:
Then is well-defined iff it satisfies:
Any satisfying
can make a well-defined outer measure on .
Therefore
Now we specify the -algebra of -measurable sets for each .
By Carathรฉodoryโs criterion, a set is -measurable iff for all ,
Note that , are always measurable since for any , ; and . So it suffices to check for . We first check for . is -measurable iff for any choice of . There are only four possibilities for : , , , .
If , both sides are 0, always stands.
If , then , always stands.
If , then , always stands.
If , then .
Therefore is -measurable iff . For the same reasoning, is -measurable iff .
Thus we can conclude that:
If , .
otherwise, .
(d) Find an example of a collection of subsets of with and a function with such that , where is the Carathรฉodory -algebra for the outer measure induced by .
Consider , with such that , , .
The outer measure induced by is: , , . (the inf of length sum of sets covering is 1, by taking as the covering.)
Since , by (4), the Carathรฉodory -algebra by by is , so .
Remark: The HahnโKolmogorov theorem states that if is an algebra and is a pre-measure, then . This exercise provides a counterexample when and are general. ใ
HahnโKolmogorov Collapse (when not -finite)
Let be the set of dyadic rational numbers, that is, the set of numbers of the form , where and are integers. Let be the collection of finite unions of intervals of the form , where .
(a) Prove that is an algebra.
, since it is the empty union of intervals of the given form.
Closed under complements: Let . Then is a finite union of intervals of the form . So
Note that finite intersection of intervals of the form , is still of this form. Hence .
Closed under finite unions: Suppose and are finite unions of intervals , then is still a finite union of intervals of that form. (They either merge into one such interval, so are disjoint.) Hence . The same reasoning extends to any finite union.
This finishes the proof that is an algebra on .
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(b) Prove that the -algebra on generated by equals .
Since , it suffices to show that . Note that is countable, so any set in is a countable union of singleton sets. Thus it suffices to show that any singleton set where is in , since if so, then any countable union of singleton sets from is also in , with implies that
Let . Then we have:
since is in the RHS set, and for any , we can find a such that .
This finishes the proof that .
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(c) Define by and for . Prove that is a pre-measure on
It suffices to show the countable disjoint additivity.
Let be a sequence of disjoint sets in .
Case 1: all , then , so .
Case 2: for some , then and . Thus .
The two cases cover all circumstances, finishing the proof.
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(d) Prove that there exist infinitely many different measures on whose restriction to equals .
Given , We define the "n-timed counting measure" on a -algebra as:
Claim 1: For any set and any -algebra on , the "n-timed counting measure" is a well-defined measure on , for all .
Proof of claim 1: since , and countable disjoint additivity trivially follows from the rule of counting.
Claim 2: for any , on restricted to equals . Proof of claim 2: Let , then contains at least one interval of the form , where . Sicne , there are infinitely many elements in , so .
This finishes the proof of the original statement.
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(e) Explain why (d) does not contradict the uniqueness part of the HahnโKolmogorov theorem (see Theorem 1.14 in Folland).
This is because HahnโKolmogorov theorem requires to be -finite to extend uniquely on . But here is not -finite.
Nur fรผr Verrรผckte (Only for nuts)
(Itโs really not necessary to attempt these problems. Do not, under any circumstances, hand them in!)
1. Let and be measure spaces. Define a morphism from to to be a map that is measurable, that is, for all , and moreover measure preserving, in the sense that for all .
(a) Prove that measure spaces with measure-preserving maps as morphisms form a category. Denote this category by .
(b) Denote by the category of sets, and by the category of measurable spaces (see HW1). Consider the evident forgetful functors and . Are these functors faithful? Are they full? Are they essentially surjective?
3 distribution function ไธ Lebesgue-Stieltjes measures
3.1 distribution function and Borel measures on [Fol 1.5]
This lecture: 1. distribution function ๆฏ increasing ไธ right continuous ็, 2. ไปปๆ increasing ไธ right continuous ็ๅฝๆฐๅฏไปฅไฝไธบ distribution function, ็จๅฎๆฅๆ้ ๅฎๅฏนๅบ็ measure.
3.1.1 distribution function of a locally finite (i.e. regular) Borel measure
็ปๅฎไธไธช locally finite (finite on all compact sets) ็ Borel measure on (ๅณ ), ๆไปฌๅฎไน:
่ฟไธชๅฝๆฐ่ขซ็งฐไธบ ็ distribution function.
ๅฎนๆๅ็ฐ: ๆฏ ็ distribution function, ๅฝไธไป ๅฝ , ไปปๅ่ฟๆ ท็ interval.
่ฟไธคไธชๅฎไนๆฏ็ญไปท็.
ๅฏนไบ ไธ็ไปปๆ locally finite Borel measure , ๅ ถ distribution function ้ฝๆฏ increasing ไธ right continuous ็. (right ctn:
increasing: trivially by monotonicity of measure.
right continuous: follows from measure ็ ctnity. ๆญฃ่ฝดไธ: ็ sequence ๆ้ไธบ , by ctn from above; ่ด่ฝดไธ, ็ sequence ๆ้ไธบ , by ctn from below.
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3.1.2 any increasing and right ctn function is a unique distribution function
ๆไนๅฎไนๅฝขๅฆ , ็ ็ๅญ้, ไปฅๅ , , ไธบ h-intervals.
h-intervals ๅณๆๆ็ๅทฆๅผๅณ้ญๅบ้ด.
ๆฏไธไธช algebra, ๅนถไธ
trivial. follows from lec 2 ็ generating set of borel set on .
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ๅ lemma ไธญ็ . ๅฏนไบไปปๆ็ increasing ไธ right ctn ็ , ๆไปฌ define , by:
ๅนถ่งๅฎ , ไปฅๅ
, Claim 1: ๆฏไธไธช ไธ็ -finite premeasure.
Claim 2: (by Hahn-Kolmogrov) extend to a locally finite Borel measure , ๅนถไธ for any h-interval, i.e. ๆฏ ็ distribution function.
Claim 3: ๆฏ ็ๅฏไธ distribution function up to constant term, in the sense that ไปปๆๅ
ถไป็ such function ๅฆๆไนๆฏ ็ distribition function, ๅๅฟ
็ถๆ ไธบ const.
Claim1
well-definedness of : ๅฏนไบไธคไธช็ปๆไธๆ ท็ union, finding common refinement ๅณๅฏ.
: ๅ ไธบ ๅฐฑๆฏ .
finite additivity: trivial.
-finiteness: each
ctbl additivity: nontrivial, ไธ้ข่ฏฆ็ปๅฑๅผ.
Suppose ๆฏ seq of disjoint h-intervals in . Let .
WTS: .
(1) WTS ่ฟไธช direction easy. We define , ็ฑ finite additivity ๅพๅฐ: , ไป่
for each , ็ฑไบ่ฟๆฏไธไธช numerical seq, ๅฏไปฅ conclude . (2) WTS .
่ฟไธช direction ่พ้พ, ้่ฆ็จๅฐ ็ argument.
For simplicity, ๆไปฌๅช้่ฆ่่ ็ interval ๅฝขๅผ, ๅ
ถไปๅฝขๅผ can trivially prove. ๅนถไธ, ็ฑไบ ไธญไปปไฝไธไธชๅ
็ด ่ณๅคๅชๆ finite ไธช็ฆปๆฃ็ h-intervals, ๆไปฌ suffice to assume ๆฏไธไธช h-interval.
ไป่, ๆไปฌไนๅฏไปฅ denote .
Let .
By ็ increasing ๅ right ctn, ๅญๅจ s.t.
ๅๆ ทๅฐ, ๅฏนไบๆฏไธช . ๆไปฌ้ฝๅฏไปฅๆพๅฐ ไฝฟๅพ
ไบๆฏ ๅฐฑๅฝขๆไบไธไธช open covering for . By cptness, ๅญๅจไธไธช finite subcovering .
By relabelling, ๆไปฌ suppose ๆฏไปๅทฆๅฐๅณๆๅบ็. ไบๆฏๆฏไธช ้ฝๅคไบไธไธไธช ไนๅ
.
ไป่:
Claim 2, 3 ้ฝ directly follows from Hahn-Komogrov Thm.
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ๆไปฌๅทฒ็ป่ฏๆ, ไปไปปๆ็ increasing ไธ right ctn ็ๅฝๆฐ้ฝๅฏไปฅๆ้ ๅบไธไธชไปฅๅ
ถไธบ distribution function ็ locally finite Borel measure on , ๅ ่ๆไปฌ็ฎ็งฐ่ฟๆ ท็ๅฝๆฐ้ฝๅซๅ distribution function.
ไปฅไธไธบไธคไธช distribution function ็ไพๅญ:
1. Heaviside function
2. ๆไปฌๅฐ ไปฅๆ็งๅฝขๅผๅๅบ: ่ๅๅฎไน:
่ฟไธชๅฝๆฐ้่ฟๆ็ๆฐ็ๆฌกๅบ็ปๆฏไธชๆ็ๆฐ่ตไบไธไธช"weight", ๅนถๅฏนไบๆฏไธช, ๆๆๆๆ็ๆฐๅไธบ ๅ ็ไธค้จๅ, ๅชๆ ็้ฃ้จๅๆ็ๆฐ็ๆ้็ฎ่ฟ . ไบๆฏ ่ถๅคง, ่ขซ็ฎ่ฟ ็ๆ็ๆฐ่ถๅค, ๅฐฑ่ถๅคง. (่ฝ็ถๆฏไธชๆ็ๆฐ็ๆ้ๆฏไนฑ็). ่ฟไธชๅฝๆฐๅจๆฏไธ็นไธ้ฝ discrete.
่ฟไธช่ฟ็จๅฏๆจๅนฟ, ไธๅ ่ๅไปปๆ็ countable sets in ไฝไธบๅ็
ง.
ๆฌ lec ๆป็ป: ้่ฟ็ดๆฅๅฎไน distribution function ๆฅๅพๅฐ็ measure, ๅฎๅๅฐฑๆฏไธๅไบ็ดๆฅๅ interval ้ฟๅบฆ, ๆไปฌ้ๆงๅฐ็ปๆฏไธช็นไธไธช mass (็ฑปไผผๆฆ็ๅฏๅบฆ), ไป่ๆๅบ้ด็้ฟๅบฆไธญๆฏไธไธช็นๅ ไธไธไธชๆ้. ๆๅๅฝขๆไธไธชไธไธๅฎๅๅ็ measure. ่ฟไธช distribution ็ๅๅธๆฒ็บฟๅณๅฎไบ่ฟไธช measure.
3.2 Lebesgue-Stieltjes measure [Fol 1.5, finished]
็ปๅฎไธไธช increasing ไธ right ctn ็ๅฝๆฐ , ๆไปฌๅทฒ็ปๅฑ็คบไบ็จๅฎไฝไธบ distribution function ๆฅ induce ๅบไธไธช regular Borel measure on .
ๅจๆ้ ่ฟไธชๅฝๆฐๆถ, ๆไปฌไฝฟ็จ็ๆฏ็จ premeasure (of all finite unions of h-intervals), ไฝฟ็จ Hahn-Kolmogrov ๆฅ induce outer measure , ๅๆ restrict ๅฎๅฐ , ๅณ ไธ, ่ทๅพ็ measure. ่ฟไธไธช measure ๆฏไธไธช Borel measure, ไฝๆฏๅฎๅนถไธ complete.
recall in lec 6: ๆไปฌๅ
ถๅฎๅฏไปฅ complete ่ฟไธช measure, ๅช้่ฆๅจ็ฌฌไบๆญฅ, ็จ premeasure induce ๅบ outer measure ๅ, ไธ่ฆ restrict ๅฎๅฐ ไธ, ่ๆฏ restrict ๅฐๅ ไธ, ๅพๅฐ็ๅฐฑๆฏ completion of , ๅณ
ๅ ถไธญ, ๆฏ ๅณ ็ proper super set. ๆไปฌๆ่ฟไธช completed measure ๅซๅ Lebesgue Stieltjes measure associated with , ๅนถ็จ ๆฅๆไปฃๅฎ. (ๅๆ, ๆไปฌๆๆชๅฎๅค็ measure ๅซๅ , ไฝ็ฐๅจๆไปฌไธๅไฝฟ็จ่ฟไธช measure, ่ๆฏไฝฟ็จๅฎ็ completion, ๅนถ่ฝฌ่็งฐๅฎ็ completion () ไธบ .)
็ปๅฎไธไธช distribution function , ๆไปฌไฝฟ็จๅฎๆฅๅฎไน h-intervals ็ premeasure , ๅนถๆ่ฟไธช premeasure induce ๅบ็ outer measure ้ๅถๅจ
ไธ, ็ฑ Carathรฉodory Thm ๅพๅฎๆฏ complete ็. ็งฐ่ฟไธช complete ็ measure
ไธบ Lebesgue Stieltjes measure associated with .
3.2.1 inner and outer regularity of LS measure
่ฝ็ถๆไปฌไฝฟ็จ h-intervals ๆฅ induce ไบ่ฟไธช measure, ไฝๆฏๅฎ้ ไธๆไปฌๅจ่กจ็คบ measure ๆถ,ๅฏไปฅ็จ open intervals ๆฅไปฃๆฟ h-intervals:
ๅบๅฎไธไธช Lebesgue-Stieltjes measure associated with , ไปปๆ , ๅฎ็ measure ็ญไบ:
ๆฏไธช open interval ้ฝ็ญไบ a ctbl disjoint union of h-intervals, ไป่ๆฏๅจ่ฟไธช่ขซๅ inf ้ๅๅ ็; ๆไปฅๅช้่ฆ่ฏๆ่ฝๅๅฐ่ฟไธช inf ๅณๅฏ. Fix , ๆไปฌๆ นๆฎๅฎไนๅฏไปฅๅๅฐไธไธช seq ไฝฟๅพๅฎ measure sum , ่ๆไปฌๅฏนไบๆฏไธช , ๅจ interval ็ๅณ่พนๅๅไธไธช ็ , ๅฐฑๅๆไบไธไธช open interval, ๅนถไธๆๅ่ท็ฆป่ฟไธช h-interval seq ็ measure sum ๅทฎ่ท่ณๅค . ไป่ๅพ่ฏ.
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ๅฏนไบไธไธช Lebesgue-Stieltjes measure associated with , ไปปๆ , ๅฎ็ measure ็ญไบ:
Directly follows from lemma. ้ฆๅ
, by monotonicity, ไธไธชๅ
ๅซ ็ๅผ้ ็ ไธๅฎๆฏ ็ๅคง. ๅนถไธ, ๅฏนไบไปปๆ็ , ้ฝๅฏไปฅๆพๅฐไธไธช open covering ไฝฟๅพ measure sum , by def.
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ๅฏนไบไธไธช Lebesgue-Stieltjes measure associated with , ไปปๆ , ๅฎ็ measure ็ญไบ:
้ฆๅ
่ฏๆ bounded ็ case. ๅ่ฎพ bdd.
ๅฆๆ closed, ๅ cpt, trivially true.
ๅฆๆ open, ้ฃไน ็ bounadry ๆฏ closed (cpt) ็, ไป่ ๆไปฌ let . ๆไปฌๅฏน ไฝฟ็จ outer regularity, ๅฏไปฅๅไธไธช open set covering , ๅนถไธไฝฟๅพ
ๆญคๆถๅ , ๆไปฌๅ็ฐ่ฟๆฏไธไธช approximating ็ compact set, ๅนถไธๆ:
ไป่:
่ๅฏนไบ unbounded ็ case, ็ดๆฅ็ฑ
ๅพๅฐ.
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3.2.2 Lebesgue-Stieltjes measurable ็็ญไปทๆกไปถ
Topological space ไธญ, ไธไธช coutable intersection of open sets ่ขซ็งฐไธบไธไธช set, ไธไธช countable union of closed sets ่ขซ็งฐไธบไธไธช set.
TFAE:
ๅญๅจไธไธช set ไปฅๅไธไธช measure zero set () ไฝฟๅพ
ๅญๅจไธไธช set ไปฅๅไธไธช measure zero set () ไฝฟๅพ
ๅญๅจไธไธช open set ไฝฟๅพๅฏนไบไปปๆ็ , ้ฝๆ
็ฑ (ii) ๅ (iii) ๆจๅพ (i) ๆฏ trivial ็. ่ฟๆฏๅ ไธบ LS measure ๆฏ complete measure, ไปปๆ null set ้ฝๆฏ measurable ็. ็ฑ (i) ๆจ (ii) ๅ (iii): follows from outer ไธ inner regularity. ๅ่ฎพ ๆฏ LS-measurable ็, ๆไปฌ็ดๆฅๅไธไธช inner seq of cpt subsets ไปฅๅไธไธช outer seq of open super sets, ไฝฟๅพ
ไบๆฏๅฐฑๅพๅฐ: , , ไธ ็ๅทฎ้้ฝๆฏไธไธช null set. ๅนถไธๅฎไปฌๅๅซไธบ ๅ sets.
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3.2.3 Lebesgue measure and its invariance properties
Lebesgue measure ๅณ Lebesgue-Stieltjes measure associated with . ๆไปฌ็จ ๆฅ่กจ็คบๅฎ, ๅนถ็จ ๆฅ่กจ็คบๆๆ็ Lebesgue measurable sets.
ไป่ ไธ็ Lebesgue measure space ่กจ็คบไธบ:
if .
ๅนถไธ,
้ฆๅ
, ๅฆๆ , ้ฃไน by hw 1, ๆไปฌ่ฏๆไบ ๆฏ closed under translation ๅ scaling ็, ๅ ่ .
ๆไปฌ define on :
ๆพ็ถ, ่ฟไธคไธชๅฝๆฐ agree with . ็ฑไบ ๆฏ -finite ็, ไป่ by Hahn-Kolmogrov, ๅฎ uniquely extend to . ๅ ่, ๅจ ไธๅ ็ธ็ญ, ๅจ ไธๅ ็ธ็ญ. ๅนถไธ, ๆไปฌ็ฅ้ ๆฏ completion of , ๅ ่ ไนๅๆ ท complete to on . (ๅ็, ไนๅๆ ท complete to on )
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Homework 3: on Lebesgue-Stieljes measures(30/40)
None of the following questions will be graded. Do them, but do not hand them in.
Fun facts about increasing functions
Let be an increasing function, that is, whenever .
Prove that the following limits exist (and make sure you understand the definitions):
and for ;
;
.
Fix any .
Prove that ;
Prove that is continuous at iff .
We say that a function is left continuous if for every . It is right-continuous if instead for every .
If is a metric space (or, more generally, a topological space), then a function is upper semicontinuous if the set is open for every . It is lower semicontinuous if instead the set is open for every . Prove that our function is right-continuous (resp. left continuous) iff it is upper semicontinuous (resp.ย lower semicontinuous). Give an example showing that this is no longer true if is not assumed increasing.
Prove that the following are equivalent:
is surjective;
is continuous, , and .
Let be the set of points where fails to be continuous. Prove that is a countable (i.e. empty, finite, or countably infinite) set. Hint: prove that for any integers , the set of points where is finite.
Locally finite measures
If is a metric space (or, more generally, a topological space), then a Borel measure on is said to be locally finite if for every compact set . Now let be a Borel measure on , that is satisfies and is countably additive.
Prove that the following are equivalent:
is locally finite;
for every ;
for every bounded interval .
Prove that if is locally finite, then is -finite. Is the converse true? Give a proof or a counterexample.
Basic formulas for LS measures
Let be a distribution function, and the associated LebesgueโStieltjes measure. From its definition using h-intervals, it follows that for . Using this property together with basic general properties of (-finite) measures, we proved in class that for . Using a similar strategy, prove the following:
for ;
for ;
for ;
for ;
for ;
for ;
for ;
.
Vitali sets
For , write iff .
Show that is an equivalence relation, i.e. show that (i) , (ii) implies , (iii) if and , then .
The set is partitioned into equivalence classes. Let be a set containing exactly one element from each equivalence class. (Here, we use the Axiom of choice.) We call a Vitali set. Let . Define . Prove that the sets are mutually disjoint, and that
Vitali sets, season 2
Let be a Vitali set (see above).
Using the translation invariance of Lebesgue measure, prove is not Lebesgue measurable.
Prove that if is a Lebesgue measurable set and satisfies , then .
Using the technique inย (a), prove the following statement: if is any Lebesgue measurable set with , then contains a set which is not Lebesgue measurable.
The middle-thirds Cantor set
Let be the middle-thirds Cantor set, defined as
where
Set . Show that for all . Also prove that is the union of disjoint closed intervals, that the set is the union of the middle thirds open intervals of the disjoint closed intervals of , and that
(We interpret this as the interval when .) Thus, is the set obtained by removing successive middle thirds of the remaining disjoint closed intervals starting with . Sketch the first few sets and .
Show that is a compact set, and that , where denotes Lebesgue measure. Also show that does not contain any non-empty open interval .
Show that equals the set of numbers which have a base-3 expansion of the form where is either or , i.e.ย
(Note: A point may have two base-3 expansions such as ; this number is in since one of the expansions is of the desired form.)
Show that but .
The Devilโs Staircase: an increasing function build on Cantor set
Let be the middle-thirds Cantor set, and define by
for , .
Prove that is an increasing function, and that .
Suppose that and . Prove that iff and are the endpoints of a removed open interval, that is, one of the disjoint open intervals whose union equals for some .
Prove that extends uniquely to a continuous function which is constant on all the intervals in , . Sketch the graph of . Hint: to prove continuity, it suffices to show that (Why?)
Prove that for a.e.ย . In other words, there exists a set such that , and such that for .
(Remark 1: because ofย (c) andย (d), the graph of is called the Devilโs Staircase; it is horizontal almost everywhere, and has no vertical jumps, but nevertheless climbs upwards.)
(Remark 2: the fact that implies that has the same cardinality as , in particular the Cantor set is uncountable.)
Some of the following questions will be graded. Do them, and do hand them in.
fun facts about distribution functions
Let be a countable set. Exhibit a distribution function that is discontinuous at every point in , but continuous everywhere else. Justify your answer. Hint: play around with the Heaviside function.
Let be an increasing function. Prove that there exists a unique distribution function such that for all points where is continuous. Hint: there is a simple formula for in terms of .
of (a):
We list as a sequence to label its elements. Define:
where is the Heaviside function: .
Claim 1.1 is non-decreasing.
Proof: Suppose , then for each , so we have .
Claim 1.2 is right continuous but not left continuous (thus discontinuous) at every .
Proof: Let .
We take s.t. .
Then we take such that .(This can be done since there are only finite points here)
Thus , we have , since . Since is arbitrary, this finishes the proof that is right continuous at .
Also, , we have , which means that for any on the left, so is not left continuous at .
Claim 1.3: is continuous at every .
Proof: This is similar to the proof in Claim 1.2.
Fix . Let .
We take s.t. .
Then we take such that . This can be done since there are only finite points here.
Thus , we have .
ย Since is arbitrary, this finishes the proof that is continuous at .
By claim 1.1, 1.2, 1.3, we have proved that is a distribution function that is discontinuous at every point of but continuous elsewhere.
of (b):
Given an increasing function , we define by:
We will show that this is the unique distribution function such that for all points where is continuous.
Incresing: Since is increasing, for any we have . Thus, for any we have:
Thus, is increasing.
Right-continuity: Since is an increasing function, it can only have jump discontinuities, and the right limit exists for all . By construction, is right-ctn.
Above finishes the proof that is a distribution function.
Agree with at ctn point: where is continuous at , since there.
It remains to show that it is unique.
Suppose is another such function. It suffices to show: agrees with on discontinuous points of .
Since are right continuous, their right limit must exist at each point. Therefore, let be an arbitrary point where is discontinuous at , it suffices to show that there is a sequence approaching , such that .
Since is increasing, the points where is disctn is at most countable. Therefore the points where is ctn, denote it as , is dense in . Thus we can pick a sequence in approaching , then for each , impling that . This finishes the proof of uniqueness.
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Finding intervals
Let be a Lebesgue measurable subset with . Prove that for every there exists an (nonempty) bounded open interval such that . Hint: first reduce to the case when is bounded, then use outer regularity.
Let be arbitrary and fix it.
We first consider the case that is bounded. By outer regularity of Lebesgue measure, there exists an open set such that
since . Then we have:
Note that in , an open set is just a countable disjoint union of open intervals. We write:
Since , we have:
Thus
So there must exist some such that , otherwise contradicting with the ineq above.
This finishes the proof of the bounded case.
The we consider the case when is unbounded. We can write
where each is bounded.
We apply the case where is bounded, confirming that there is some interval such that . By monotonicity of measure, we have .
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So many differences
Let be a Lebesgue measurable subset with .
Prove that the set
contains a nonempty open interval centered at the origin. Hint: use the previous exercise with large enough, together with the translation invariance of Lebesgue measure.
Prove that there exists such that intersects every line with .
Let be the middle-third Cantor set (so ). Does contain a nonempty open interval centered at the origin?
of (a):
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of (b):
Consider taking as the one in (a) where the interval contained in is , then the box is contained in . It trivially follows that intersects every line with , since the intercept of this line with -axis is below and above .
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of (c): contain a nonempty open interval centered at the origin, and we will prove that one such interval is .
Recall the balanced ternary representation of : , there is a seq of in s,t,
Thus every can be halved, ternary expanded and then doubled to recover:
And by the problem "The middle-thirds Cantor set", we learned that
Therefore we can write every number into a difference of two , i.e. an element of :
since each series converges independently. Here we let if ; if , if .
Thus , so .
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a holey set
Let be a countable dense sequence in . For each , consider the set
Prove that is a compact (possibly empty) subset of . Also prove that has empty interior, that is, contains no nonempty open set.
Prove that is continuous.
Prove that there exists such that .
of a:
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of b: Define for each
Then
So
Thus it suffices to show is continuous.
Let . Let .
We consider :
By set inclusion relation and measureโs property, we have:
Since
We have:
Similarly for , we get the same bound. This finishes the proof pf (b).
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of c:
We use the same notation of as in (b). We have:
So by choosing , we have . And by choosing , covers an interval of length , so , . By intermediate value theorem, there exists some such that .
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a Cantor measure
(A Cantor measure.) Let be a nonempty compact set with the following property: for every and every , the set has nonempty intersection with both and . Prove that there exists a Borel measure on with the following properties:
if is a nonempty open interval, then iff .
for all ;
.
Hint: set , where is a distribution function whose graph is similar to the Devilโs staircase above.
Write
Since is compact, is open. Also, since is compact, it takes min and max element.
Thus we consider , this is an open set. We know any open set in is a countable disjoint union of open intervals, so for some disjoint intervals .
Now we construct a function by sending , for .
This is an increasing step function since, each is disjoint and on a fixed interval , the number of that its surpasses is constant. And suppose is on , we have must because he number of that surpasses is at least at many as that surpasses.
And for each , we have , by geometric series
Then we construct out of , define:
is increasing: It is constant on and is the infimum of with on . Since is increasing, is also increasing.
is right continuous: It suffices to prove the right-continuity of on .
Fix .
Let .
Let such that .
We define for each , as the set of all (right endpoint of ) that is witin and . Note that for all .
Consider .
Then for all , we have:
By defining , we have shown the right continuity of .
(By dual reason, we can prove that is left continuous. So is actually continuous.) Above, we have shown that is a distribution function.
Now let be the Lebesgue-Stieljes measure associated with . We will prove for the three properties above:
Let be a singleton set in , for each , we can construct an h-intervals seq of covering of by as the first covering set and as all other covering sets.
Then by the definition of , we have:By continuity, it shows that .
Let be a nonempty open interval.
Suppose , then , so by definition of , some must be at least two different intervals , in such that for some , and , thus some such that . Thus .
Suppose . Let . Since , has nonempty intersection with both and , has some open neighborhood , intersecting two different , . Take , . Then , so by monotinicity of measure.
This finishes the proof.
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4 measurable functions and integration on
4.1 measurable function [Fol 2.1]
4.1.1 general measurable function
Let , be measurable spaces, ๅฆๆ ๆปก่ถณ:
, ๅ็งฐ ไธบไธไธช -measurable function.
ไปไธไธช measurable space ๅฐๅฆไธไธช measurable space ็ function ่ขซ็งฐไธบ measurable ็ๆกไปถๆฏ: ่ขซๆ ๅฐๅฐๅฏๆต้็้ๅๅช่ฝๆฏๅฏๆต้.
่ฟไธชๅฎไนๅ topological space ไธ continuous ็ๅฎไน: ่ขซๆ ๅฐๅฐๅผ้็ๅช่ฝๆฏๅผ้, ๅฝขๅผๆฏๅฎๅ จไธๆ ท็. ๅนถไธๆไปฌ็ฅ้, topological space ๅ measure space ไนๆๅพๅค็ธไผผไนๅค. ๅ ่่ฟ็ปญๆงๅๅฏๆตๆงๆไธๅฎ็ๅ ณ็ณป.
ๅฝๆฐ็ๅฏๆตๆง็ๅฎไนๆฏ with respect to ๅฎไปฌๆๅจๅฏๆต็ฉบ้ด้ๅฎ็ -algebra ็, ๅฐฑๅ topologica spaces ไน้ดๅฝๆฐ็่ฟ็ปญๆง็ๅฎไนๆฏ with respect to ๅฎไปฌๆๅจ็ topological spaces ้ๅฎ็ topology.
่ฟไธคไธชๅฎไน้ฝ่กจ็คบ็ๆฏ: ๆง่ดจไธๅฅฝ็้ๅไธไผ่ขซๆ ๅฐๅฐๆง่ดจ่ฏๅฅฝ็้ๅ. (ไฝๆฏๆง่ดจ่ฏๅฅฝ็้ๅๆๅฏ่ฝ่ขซๆ ๅฐๅฐๆง่ดจไธๅฅฝ็้ๅ.)
ๅฆๆ ๆฏ -measurable ็, ๆฏ -measurable ็, ้ฃไน ๆฏ -measurable ็.
Trivial.
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Let , be measurable spaces, ๅฆๆ for some , ้ฃไน
-measurable
foward direction: trivial.
backward direction: Let
ๅฎนๆ่ฏๆ: , ๅนถไธ ๆฏไธไธช -algebra.
ๅ ่
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ๅฏนไบ topological space , let
continuous ๆฏ measurable ็.
4.1.2 real and complex-valued measurable function
Let be a measurable space, ๅฏนไบ ๅฆๆๅฎๆฏ -measurable ็, ๆไปฌ็ดๆฅ็ฎ็งฐๅฎๆฏ -measurable ็, ๆ่ ็ฎ็งฐไธบ measurable ็.
ๅฆๆ ๆปก่ถณ: ้ฝๆฏ (real-valued) -measurable ็, ้ฃไนไน็งฐ ๆฏ -measurable ็, ๆ่ ็ดๆฅ่ฏดๆฏ measurable ็.
Naturally, ๅฆๆ ๆฏไธไธช -measurable ็ๅฝๆฐ, ้ฃไนๆไปฌ็งฐ ๆฏ Lebesgue measurable ็.
ๅๆ ทๅฐ, ๅฆๆๅฎๆฏไธไธช -measurable ็ๅฝๆฐ, ็งฐ ๆฏ Borel measurable ็.
ๅจไปปไฝ -measurable function ๅ compose ไธไธช Borel measurable ็ function, ็ปๆไป็ถๆฏ -measurable ็, follows from composition preserves measurability.
Follows from def.
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, , () ้ฝไป็ถๆฏ -measuble ็.
4.1.3 arithmetic and sequential preservation of measurable functions
ๅฆๆ ๆฏ -measurable function, ้ฃไน ไนๆฏ.
Suffices to assume is (extended) real-valued. Complex case follows trivially.
Suppose ๆฏ -measurable ็, ๆไปฌๆณ่ฆ่ฏๆ: ๆฏ -measurable ็, suffices to show: for any .
ๆไปฌ notice:
ไบๆฏ finishes the proof.
ๅฏนไบ , ๆไปฌๅ็ฐๆ
ไบๆฏไน finishes the proof, following ๅไธไธช proposition.
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ๅฆๆ ๆฏไธไธช seq of -measurable functions, ้ฃไน
้ฝๆฏ -measurable ็.
็ฑไธ็กฎ็็ๅฎไน๏ผ
ๅ ๆญค๏ผ
ๅ ่:
็ฑไบ ๅฏๆต๏ผ้ๅ ๆฏ -measurable ๏ผ่ๅฏๆต้ๅ็ๅฏๆฐๅนถไป็ถๆฏๅฏๆต็๏ผๅ ๆญค ๅฏๆตใ
inf: dually.
limsup: ็ญไบ inf of sup ()
liminf: ็ญไบ sup of inf ()
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ๅฆๆ ๆฏไธไธช seq of -measurable functions, ไธๅจไปปๆ ๅคๆ้้ฝๅญๅจ, ้ฃไน
ๆฏ -measurable ็.
directly follows from lemma. ๅ ไธบ ๅคๆ้ๅฆๆๅญๅจ, ้ฃไน
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-measurable - measurable
two element sequence, ๅฉไฝ็็จ็ฉบ้, ไบๆฏ follows form above.
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4.2 simple function and integration of nonnegative functions [Fol 2.1, finished; 2.2]
4.2.1 indicator and simple function
Given , ๆไปฌๅฎไน:
ๅฆๆ ๆฏไธไธช measurable space, ้ฃไนไธไธช indicator function
on ๆฏ measurable ็
indicator function measurable ๅฝไธไป ๅฝๅฎ indicate ็้ๅๆฏ measurable ็.
ไธไธช simple function on measurable space ๆฏไธไธช -measurable function , taking only finitely many values.
ๅณ:
ๅฏนไบ simple function s.t. , ๆไปฌไนๅฏไปฅๅฎไนๅฎไธบ:
ๅ ถไธญ, . ๆไปฌ็งฐไนไธบ: the standard representation of simple .
่ฟๆฏๅ ไธบ, ๅ็น้ๅจ ไธๆฏ measurable ็, ็ฑไบ measurable, ๆไปฌๅพๅฐ .
ๅฆๆ ๆฏ simple functions, ้ฃไน
้ฝๆฏ simple functions.
็นๅซๅฐ, ๅฆๆ , ้ฃไน ไนๆฏ simple functions.
trivial.
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4.2.2 measurable function is a limit of simple functions
ไปปๆ็ measurable ้ฝๆฏ pointwise limit of an increasing sequence of simple functions .
่ฟไธชๆ้ ็่ตทๆฅๆ็นๅคๆไฝๆฏๅ ถๅฎ้ๅธธ็ด่ง.
ๅฏนไบ , ๆไปฌ้ฝ index
็ถๅๅฏนๆฏไธช ๅ:
ไปฅๅ:
ๅณ, ๆไปฌๆ ่ฟไธ้จๅๅผๅๅๆไบ ไปฝ, ๅๆ ่ฟไธ้จๅๅผๅๅ็ฌๅๆไธไปฝ.
่ฟ ไปฝๅผๅ็ๅ็, ๆไปฌๅฏนๆฏไธไปฝๆๅฏนๅบ็ function graph, ้ฝๅๅฎๅฏนๅบ็ Preimage ไธ็ indicator function ไนไปฅ , ่ฟๆฎตๅผๅ็ๆๅฐๅผ็ constant ๅฝๆฐ, ไบๆฏไธๅฎไผๅพๅฐไธไธช well approximation:
ๆๅพ,
for all . ๅนถไธๅจ ไธๆไปฌๆ:
้็ ๅขๅคง, ๆ็ป่ฟไธช่ฟไผผไผ่ฆ็ๆดไธช image, (้ค้ๅ ทๆ้้ถๆตๆฐ้็ๆ ็ฉท้ดๆญ็น, ้ฃๆ ท็่ฏๆๅ็ปๆไนๆฏๆ ็ฉท), ๅนถไธๅผๅ็ๅๅ่ถๆฅ่ถ็ฒพ็ป, ๆๅไผๅพๅฐ:
pointwisely
ๅจ bounded ็ๅฎไนๅ ไธ, uniformly.
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ๅฏนไบไปปๆ็ measurable , ้ฝๅญๅจ a seq of simple functions
ไฝฟๅพ
pointwisely
uniformly on
ๆไปฌๅฏไปฅๆ ๆไธบ , ็ถๅๅๆๅฎไปฌๅๅซๆไธบ , ไปฅๅ . ๅพๅฐๅไธช real-valued nonng functions.
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4.2.3 integration of non-neg functions
็ปๅฎไธไธช measure space ๆไปฌๅฎไน:
ๅฏนไบๆๆ็ simple functions , ๅณๆๆ้่ด็ simple functions, ๆไปฌๅฎไน the integral of with respect to by:
ๅฏนไบไปปๆ็ , ๆไปฌๅฎไน the integral of with respect to by:
ๅฏน้่ด simple functions , ๆไปฌๅฎไน the integral of on with respect to by:
ๅฏนไบ general ็ , ๆไปฌไนไป่ๅฎไน:
Let be simple functions in , ๆ:
homogeneity: ๅฏนไบไปปๆ้่ด , ๆ
linearity:
monotonicity:
induced measure: ๆฏไธไธช ไธ็ measure.
homogeneity trivial .
linearity: Let
ๅๆ:
for each . ไป่ๆ
Monotonicity: trivial.
induced measure: ๅช้่ฆ่ฏๆ countable additivity, ไบๆฏๆไปฌ่ฎฉ be the union of a disjoint seq in
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้ฃไนๅฏนไบ general ็ , ๆๅๆ็ๅๆกๆง่ดจๆ็ซๅ? ๆพ็ถ, monotonicity ๅ homogeinity ๆฏๆ็ซ็, ไฝๆฏๆไปฌไผๅ็ฐ, ๅพ้พ่ฏๆ
ๆฏๅฎนๆ่ฏๆ็, ไฝๆฏ ๆ็นๅฐ้พ. ไธบไบ่ฏๆ ่ฟไธชๆนๅ, ๆไปฌ้่ฆไธ้ข่ฟไธช้่ฆๅฎ็:
4.2.4 MCT
Let be a seq in , ๅนถไธๆ for each .
ๆไปฌ define:
, ๅไธๅฎๆ
้ฆๅ Note ๅ ไธชไบๆ : 1. ่ฟไธชๆ้ๅฝๆฐ ๆฏ well-defined ็ (ๅฏ่ฝ ), by numerical sequence ็ monotone bounded convergence theorem.
2. ๅๆ ทๅฐ, ็ฑไบ , ่ฟไธช ไนๆฏๅญๅจ็.
3. ๅนถไธ, ไนๆฏไธไธชๅฏๆตๅฝๆฐ, ๅ ไธบ by ไธไธช lecture ็ๅฎ็: ๅฏๆตๅฝๆฐๅบๅ็ๆ้ไนๆฏๅฏๆตๅฝๆฐ.
็ฐๅจ่ฟ่ก่ฏๆ: By monotonicity of integral,
ๆฏ natural ็. ๅ ่ๅช้่ฆ่ฏๆๅฆไธๆนๅ.
By def, where is simple. ๅ ่ it suffices to show: ๅฏนไบไปปๆ simple , ้ฝๆ .
ๆไปฌ fix ไธไธช . WTS:
่ฆ่ฏๆ , ๆไปฌๅๆๅฎ่ฝฌๅๆ่ฏๆ:
ๆไปฌๅ
ๅฎนๆๅ็ฐ, for each . ๅนถไธ Claim: . (่ฟๅฐฑๆฏไธบไปไน่ฆๅๅ ่ฟไธชๆไนไธๆ็่กไธบ) ่ฟๆฏๅ ไธบ , ๅนถไธ converge pointwisely to , by measurable function ็ limit behavior. ่็ฑไบ simple function ๆฏ bounded ็, ไป่ ไผ uniformly ๅไธๆฅ่ฟ(ไปฅ่ณไบ่ถ ่ฟ) . ๅ ๆฏไธบไบไฟ่ฏ, ไธๅฎๅญๅจไธไธช ไฝฟๅพ
ไบๆฏๆไปฌๆ:
ๆไปฌๆญคๅคๅๅฏไปฅ็จๅฐไธๆกๅท้จ็ๆง่ดจ: ็ฑไบ ๆฏไธไธช measure on , by continuous from below, ๆ:
ไป่ๆ
finishing the proof.
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ไปฅไธไธบไธไธชๅบ็จ MCT ๅพๅฐ็็ป่ฎบ.
ๅ
ไบๆฏ
ๆฏๆๆ็ไป่ช็ถๆฐๅฐ reals ็ๅฝๆฐ. (ๅ ไธบๆไปฌๅไบ power set ไฝไธบ -algebra)
ๆณจๆๅฐไปปไฝไธไธช่ฟๆ ท็ๅฝๆฐ้ฝๅฏไปฅ่ขซ
ๆฅ้ผ่ฟ. ไป่
ๅฆๆๅไธไธชไปไธ้ผ่ฟ ็ๅฏๆตๅฝๆฐๅบๅ , ้ฃไน by MCT, ๆไปฌๆปๆ:
4.2.5 (countable) linearity of integral
ไฝฟ็จ approximation by simple functions ไปฅๅ MCT. ๅ
, ไป่
, ไป่ๆไปฌๆ
ไป่็ฑ simple function ็ Linearity ๅพๅฐ:
ๅนถไธ็ฑไบ
ๆไปฌๅพๅฐ:
ๅฆไธๆนๅ trivial.
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4.2.6 Tonelli for sum and integrals
for in , ๆ:
Apply MCT to
ๅฏๅพ่ฏ.
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4.3 properties of integration on [Fol 2.2, finished]
4.3.1 Fatouโs Lemma
ไปค be a seq of functions in , then
Set
ไบๆฏ
ไบๆฏ by MCT, we have:
By def, ๆไปฌๆ , ไบๆฏ by monotonicity, . ๅ ่
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ๅ , ่่ ไธ็ๅฝๆฐ, ๅณ้่ด Lebesgue ๅฏๆตๅฝๆฐ.
ไธ้ขๆๅ ไธช้ๅธธ็ปๅ ธ็ Fatouโs Lemma ็ไพๅญ:
. escape to hat:
ๅจ ไธๅนณ็งป
. escape to width:
้ๆธๅๅพๅนณๅฆ
. escape to height:
้ๆธๅๆไธๆ น้.
่ฟไธไธชไพๅญไธญ้ฝๆ pointwisely. ๅ ่
, ่
, ๅ ไธบๅฏนไบๆๆ ้ฝๆ
4.3.2 Chebyshevโs inequality with corollaries
ๅฏนไบ measure space , ๅฆๆ ๅนถไธ , ้ฃไน
Let
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ไปค , ๆ:
a.e. (ๅณๅชๅจไธไธช้ถๆต้ไธ้ 0)
forward direction: directly follows from Chebyshev: set , ๅฏนไบไปปๆ ้ฝๆ . ไป่ by ctn from below, ๅคๆๆ้ถๆต้.
backward direction: ๅฏนไบ simple function, trivial by ็งฏๅ็ๅฎไน; ๅฏนไบ general , ้่ฟ limit ๅพๅฐ (ๅฎไธๆน็ๆๆ simple functions ไน a.e. ไธบ 0 ไป่็งฏๅไธบ 0).
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Let ไธ a.e., ๅๆ
Set , ๅ by def
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suppose ๆฏไธไธช seq of functions in , ไธ , ๅ:
่ฟๆฏไธไธชๆกไปถ็จๅพฎๅผฑๅ็ MCT: ๆ ็ๆกไปถๆนๆไบ a.e., ๅพๅฐ็็ป่ฎบไน็จๅผฑๅ.
modify and on a null set (thus without chaning the integral) ๅ, follows directly from Fatouโs lemma,
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ๅฆๆ ไธ , ๅๆ:
ๅนถไธ
is -finite
็ดๆฅ follows from Chebyshev. ๅ
for .
ไบๆฏ:
By Chebyshev, each ้ฝๆ: , ไป่ by continuous from above ๅฏๅพ่ฟไธชไบค้็ measure ไธบ 0.
ๅๆ:
ๅ ถไธญ, each set has measure . By def, ่ฟไธช้ๅ -finite.
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Homework 4: on measurable functions(36/40)
None of the following questions will be graded. Do them, but do not hand them in.
One with Vitali.
Let be a measurable space, and a subset. Prove that iff the function is measurable. Use this to construct a function that is not Lebesgue measurable.
Truncations in : ้่ฟ ๆ่ ็ๆ้ (bounded function / subset) ๅพๅฐ
Let be a measure space and a measurable function.
(Horizontal truncation) Suppose that for some with . Prove that
(Vertical truncation) Prove that
Explain the terminology โhorizontal truncationโ and โvertical truncationโ.
Disregarding null sets.
Let be a complete measure space.
Let and be functions such that -a.e.
Prove that is measurable (i.e.ย -measurable) iff is measurable.
Prove the same statement when and are -valued, rather than -valued.
Give examples showing that the condition that be complete is necessary.
Let , , and be functions such that for a.e. .
Prove that if is measurable for all , then so is .
Prove the same statement when and are -valued, rather than -valued.
Give examples showing that the condition that be complete is necessary.
Hint: this is Proposition 2.11 of [Folland].
Measurable functions and completions.
Let be a measure space and let be its completion. Suppose that is -measurable. Prove that there is an -measurable function such that -a.e., and hence . Hint: this is Proposition 2.12 of [Folland].
Measurability on subsets.
Let be a measurable space, and a nonempty subset. We say that a function is -measurable on if is -measurable, where the -algebra on is defined as in HW1.
Prove that if is measurable and , then is -measurable on .
Prove that if is -measurable on and , then can be extended to an -measurable function on . Is the extension unique?
Let be any function, and set . Prove that is measurable iff , , and is -measurable on .
Suprema of uncountable families.
Construct (using the Axiom of Choice, if needed) an uncountable family of real-valued Borel measurable functions on such that the function is not Lebesgue measurable, let alone Borel measurable.
Increasing functions again.
Let be an increasing function. Prove that is Borel measurable. Use this to give an example of a function that cannot be written as a difference between increasing functions.
Lebesgue but not Borel.
Let be the function from HW3, whose graph is the Devilโs Staircase. Define .
Prove that is an increasing homeomorphism. In other words, is increasing, bijective, and both and are continuous.
Let be the middle-thirds Cantor set, and set . Prove that .
Since , we know from HW3 that there is a set that is not Lebesgue measurable. Prove that is Lebesgue measurable but not Borel measurable.
Measurability and absolute values.
Let be a measure space. Suppose that is a measurable function. Prove that the function is also measurable. Is the converse true?
Some of the following questions will be graded. Do them, and do hand them in. You may use the results from the exercises above.
Measurability of limit loci.
Let be a measurable space. For each , let be a measurable function. Consider the set
Prove that is a measurable set in two ways:
by expressing in terms of the functions and ;
by expressing in terms of the sets
where . Hint: a sequence of real numbers converges iff it is a Cauchy sequence, i.e. for every there is such that for every , .
Hint: note that are not real numbers, and please avoid considering ; you may want to prove a lemma to the effect that if are measurable functions, then the set
is measurable; to do this, you may want to consider functions like , and , for large real constants .
of method (i):
Define:
Since each is measurable function, by proposition in lecture (sequential preservation of measurability), are measurable.
And as we know, for any real sequence ,
Thus, for each we have:
Thus, we can write as:
Note: here we want to have a difference function of the two functions, but it is undefined on type of points. So actually it is not valid to take the difference for functions mapping to . This is why we use the following method instead:
For each , we define:
Notice that, each is measurable, since are measurable and constant function is measurable and we have proved in lecture that taking the max, min of two measurable functions is measurable.
Claim 1.1:
proof of claim 1.1: Suppose . Let , then for any , we have , so .
Suppose , Then it is clear that
proof of remaining: Therefore we have:
Foe each , we define
Since each is measurable and real-valued (finite), is measurable and is measurable, so we have for each ,
Thus
is a measurable set. Thus is a countable union of countable intersections of mea surable sets, then measurable.
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of method (ii):
Recall: a seq of real numbers converges iff it is a Cauchy. Now we fix an arbitrary and let . Define:
Since each is measurable, the function is measurable (since each term in the sequence maps to but not ), and hence each is measurable.
For each , consider the set of for which the sequence satisfies the Cauchy condition with respect to . That is,
We can write as
Since countable unions and intersections of measurable sets are measurable, is measurable.
Now, since converges in iff it is Cauchy, i.e. it is in for each , we have:
This is a countable intersection of measurable sets, and therefore is measurable.
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Measurability of continuity loci.
Let be a metric space, and any function. Prove that the set of points such that is continuous at is a -set, and in particular a Borel set. Hint: consider sets of the form
and show off your skills with quantifiers.
Recall: from a metric space is continuous at iff for every there exists a such that. We can easily check that, this condition is equivalent to: for every there exists a such that , by the relation of diameter and radius of the open ball).
Thus we have:
In other words, is a continuity point iff it belongs to:
where
Claim: is open.
Proof of Claim:
Let . WTS: an such that .
Consider: .
Let . Take any two points satisfying
Then by the triangle inequality, we have:
Similarly, . Since , it follows that
Thus, the condition defining holds for , meaning . This proves that , thus is open since is arbitrary.
Therefore:
is since each is a union of open sets, thus open; and is thus a countable intersection of open sets, namely a -set. (thus Borel).
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Measurability of differentiability loci.
Let be any function. Let us say (as usual) that is differentiable at if there exists such that .
We also declare to be strongly differentiable at if there exists with the following property: for each there exists such that if and , then .
Does being differentiable at imply that is strongly differentiable at ? Give a proof or a counterexample.
Prove that the set of points at which is strongly differentiable is a Borel set. Hint: consider sets of the form
Extra credit: is the set of points at which is differentiable a Borel set?
of (a): No. Consider the following counterexample:
We know that
Note , so when we have:
Thus is differentiable at and .
is strongly differentiable at it is differentiable at , and is uniquely equal to the derivative at .
of lemma 4.1:
Suppose is strongly differentiable at , so for any , there exists s.t. for all , we have:
Suppose , then dividing by on both sides, we have
Since is arbitrary, this proves that
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Now we go back to the counterexample. Suppose for contradiction that is strongly differentiable at , then , so for all , there exist s.t. for all , we have
Consider . Let . Take s.t.
and then take
Note that each . And we have
Thus
while
Taking limit of this behavior (increasing ), we get the sequential limit of indexing over is . By taking large enough , we can alwasy get to be arbitrarily close to . This shows that is not strongly differentiable at .
of (b):
Let be any a function.Denote
WTS: is a Borel set.
Set for each :
where denote the open ball centered at with radius .
Then by the definition of strongly differentiable, we have:
Claim 3.1: Each is open.
Proof of Claim 3.1: Let . Then
In particular, the inequality holds for all . Now consider , let , then for every , we have
so . Hence the inequality holds for all . This confirms that every has a neighborhood contained in , proving that is open.
Now that each is open, we have is each for each ; thus each for each , is a set.
is a union of sets.
(I do not now how to deal with it then, it might be that we somehow reduce it to countable union of sets, getting something like using the density of in , thus confirming that it is Borel.) -2. ่ฟ้็ๆญฃ่งฃๆฏ: ่ฆๅฉ็จ density of in ็่ฏ, ๅช้่ฆ่่ไบคๆข set operation ็้กบๅบๅฐฑๅฅฝไบ. ๆไปฌไผๅ็ฐๅ ถๅฎ:
ๅฐฑ่ฟไน็ฎๅใใ
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of extra credit: yes. ่ฟไธช่งฃๆณ้ๅธธ้บป็ฆ. ้่ฆๅๅค่่ไธคๅฑ. ไปค ่กจ็คบ the set of points s.t.
whenever
Claim:
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decreasing MCT: ๆ็ซๅฝไธไป ๅฝ integral ็ limit ๆฏ finite ็
Let be a decreasing sequence of non-negative measurable functions on a measure space.
Prove that if , then .
Give an example of a decreasing sequence of nonnegative measurable functions such that .
Hint: use MCT correctly.
of (a):
Since is a decreasing sequence, i.e. for every we have
We can define the function
for each . Then for the seq we have:
non-negatice: because .
increasing in :
since is decreasing.
Define for each .
Since decreases to , we have
Now we apply MCT to the increasing sequence . We have:
And since , we have
Also, because of , is eventually finite. Say, it is finite after . We only need to consider when considering the limit behavior.
Then for each ,
-2. ่ฟ้ๆณจๆ, ๆไปฌๆข็ถ็ฅ้ ็ integral ๆชๅฟ finite, ๅฐฑไธ่ฝ่ฟไนๅฎไน . ๆญฃ่งฃๆฏๅ s.t. finite, ็ถๅๅฎไน . Taking the limit as , have
by linearity of numerical sequence.
Thus, combining with the result from MCT we have:
Rearrange to get:
which is exactly what we wanted to prove.
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of (b):
Consider defining with
Note that:
is a decreasing seq: For each and every ,
since .
the pointwise limit:
since for each there exists an (any integer greater than ) such that for all , and hence .
For each ,
But on the other hand
Then we have the decreasing seq of function with
This shows that in the absence of the finiteness assumption, the limit and integration need not commute.
Vitali meet Cantor.
Construct a function such that:
fails to be Lebesgue measurable;
there exists a compact subset of positive Lebesgue measure such that is differentiable at every point .
Hint: use the function ; then square this with the title of the problem.
Let be a Vitali set on , be the fat Cantor set on by recursively taking away the middle open subinterval of length on the th recursion. We consider the function:
where
By Hw3, we know is not Lebesgue measurable, and is compact with positive Lebesgue measure .
And since , mapping a not measurable set to a measurable set, is not measurable function.
And since the distance function is a continuous function of , it is measurable, by the result proved in class that a continuous funciton on a topological space is measurable.
The product of a measurable and a not measurable is not measurable.
Proof of Lemma 4.2: measurable measurable. Suppose for contradiction that is measurable, then is the product of two measurable functions, thus measurable, contradicting the fact that is not measurable. Thus is not measurable.
Claim 5.1: is not measurable. Proof of claim 5.1: Thus on the open set , is positive, so is not measurable since it is a product of measurable and not measurable function by lemma 4.2. Thus is not measurable, otherwise its restriction on should also be measurable.
Claim 5.2: is differentiable on . Proof of claim 5.2: Fix , then . We want to show: exists Let . Case 1: , then , so we have , then . Case 2: , we have:
So
Therefore for all cases we have:
This confirms that
This finishes the proof of required properties of .
4.3.3 harder Vitali meet Cantor (extra credit)
We change the requirement of (a) to be: "the restriction of to any open interval fails to be Lebesgue measurable". Then how can we make the construction?
I donโt know.
ๅฎๆน็ญๆก: ๆๅจๅไธ้ฎ็ปๅบ็
่ฟไธชๅฝๆฐ, ๅๆ ทไนๆฏๆปก่ถณ่ฟไธ้ฎ็็ญๆก. (ๅฏนไบ , ไธไป ๅฏไปฅ้ๆฉ fat Cantor set, ๅฎ้ ไธไปปไฝ choice of compact nowhere dense set ้ฝๅฏไปฅ.)
5 integration of real and complex functions
5.1 integration of real and complex functions-I [Fol 2.3]
ๆไปฌ็ฎๅๅชๅฎไนไบ non-negative -valued measurable function ็็งฏๅ, ่ๆไปฌๆณ่ฆๅฎๆดๅฐๅฎไน: -valued measurable function ็็งฏๅ , ไปฅๅ -valued measurable function ็็งฏๅ .
recall: ๅฏนไบไปปๆ -valued ,
ๅ ่ๆไปฌๅธๆ define:
ไฝๆฏๅ ถไธญๆไธไธช undefined ็้ฎ้ข: ๆไปฌ่ฆ้ฟๅ ่ฟไธ็ฑป็้ฎ้ข. ๅ ่ๆไปฌๆ ๆณๅฏนๆๆ็ๅฏๆตๅฝๆฐ่ฟ่ก็งฏๅ, ่ๆฏๅฎไน "integrable" ็ๅฏๆตๅฝๆฐ.
trivial.
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ๆญฃ่ด้จๅ้ฝๅฏๆง, ่ฏๅฎๆฏๅฝไธไป ๅฝ็ปๅฏนๅผๅฝๆฐๅฏๆง.
ๆไปฌๆฅไธๆฅๅฐๅฎไนๅฏ็งฏๅฝๆฐ็็ฉบ้ดๆฏ: ๆๆ็ปๅฏนๅผ็งฏๅ้ๆ ็ฉท็ๅฝๆฐ. (ๆไนๅ้ขๆไธไธๆ ทโฆ่ฟๆ ท็่ฏ่ฟไธช็ฉบ้ดๅจ็งฏๅ่ฟ็ฎไธ็ๅผๅๅฐฑๆฏ ่ไธๆฏ ไบ. ๆๆๅพ ็ๆฏไธบไบ้ฟๅ ๆ ็ฉทไน้ด็ธๅ็ undefined behavior ๅช้่ฆๆญฃ่ด้จๅๆไธไธช็งฏๅ้ๆ ็ฉทๅฐฑ่กไบ. ไฝๆฏๆไปฌ่ฆๆฑ็ๆฏ้ฝไธๆฏๆ ็ฉท. ไธ่ฟๆข็ถ่ฟไนๅฎไนไบ่ฏๅฎๆๅ ถ้็.)
5.1.1 and )
Given measure space , measurable ่ขซ็งฐไธบ integrable ็, ๅฆๆๅฎๆปก่ถณ
ๅนถๅฎไนๅ ถ integral ไธบ:
Further, ๆไปฌๅฎไน measurable ๆฏ integrable ็, ๅฆๆๅฎๅๆ ทๆปก่ถณ:
ๆณจๆๅฐ่ฟไธชๆกไปถ็ญไปทไบ integrable, ๅ ไธบ
ๆไปฌๅฎไนๅ ถ integral ไธบ:
ๆๆ็ real-valued integrable functions ๆๆไธไธช -vector space, ๅนถไธ integral ๆฏไธไธช linear functional on it.
ๆๆ็ complex-valued integrable functions ๆๆไธไธช -vector space, ๅนถไธ integral ๆฏไธไธช linear functional on it.
trivial.
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ไธ้ขๆไปฌๅฏไปฅๅฎไน่ฟไธช vector space ๅนถๅจไธ้ข่ฟ่กไธๅฎ็ ็ฉถ. ๆญคๅคไธบไธไธช temporary ็่ฎฐๅท:
็ปๅฎ measure space ๆไปฌๅฎไน
ไปฅๅ
ไธ, ไธบไธไธช linear functional.
ๅ ไธบ็งฏๅๆฏ linear ็, as we have proved.
For real-valued case,
For complex-valued case, Set
ไบๆฏๆ ไธ . Note: ไธไธช็ปๅฏนๅผไธบ 1 ็ complex number ็ๅๆฐๆฏๅฎ็ conjuate.
ๅ ่:
ไป่
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if , ( ็ -algebra), ๆไปฌ define:
if , ๅ TFAE:
a.e.
for all
: by last time proposition.
: ๅ ไธบ
: ไปค , , ๅ
่ฟๅไธช็งฏๅ้ฝๆฏๆญฃๅผ. ๅฎนๆๅ็ฐๅฆๆ ๅจไธไธช positive measure set ไธ้ 0, ้ฃไน , ้ฃไน . (ๅ ถไปไธไธช็งฏๅๅ็.)
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ๅนถไธๆไปฌๅ็ฐ, a.e. ็ธ็ญ็ไธคไธชๅฏ็งฏๅฝๆฐ ๅจไปปๆๅฏๆต้ไธ็็งฏๅ้ฝ็ธ็ญ. ไบๆฏ่ฟไธคไธชๅฝๆฐๅจ ไธญ็่กจ็ฐๆฏ็ธ็ญ็. ๅ ่ๆไปฌๅฏไปฅๆ a.e. ็ธ็ญ็่ฟ็งๅ ณ็ณป quotient ๆ, ็ฎๅ่ฟไธช็ฉบ้ด:
ๆไปฌๅฎไน , ๆ็ฎ็งฐไธบ , ไธบ:
ๅ ถไธญ ่กจ็คบไธไธช equivalent class: if a.e. (็ญไปทไบ )
ไธญ็ๆฏไธชๅฝๆฐไน้ดๅฝผๆญค่ณๅฐ้ฝๅจไธไธชๆญฃๆตๅบฆ้ไธ็ธไบไธๅ. ่ฟๅๅปไบๅๆไธ่่ๅ ไนๅคๅค็ธ็ญ็้ๅ็้กพ่, ๅฏนไบๅคๅค็ธ็ญ็ๅฝๆฐ, ๆไปฌ่ฎคไธบๅฎไปฌๅจ ไธ็ดๆฅ็ธ็ญ. ๅนถไธ, ๆไปฌๆ:
ๅจ ไธๆฏไธไธช well-defined function.
5.1.2 DCT
ไปค ไธบ a seq of a.e. defined measurable functions on ., s.t.
exists a.e.
Claim: is measurable.
Let be a seq of functions in , s.t.
a.e.
ๅญๅจ s.t. a.e. for all .
Claim: ๅนถไธ
้ฆๅ
็ฑไบ a.e., by lemma ๅฏไปฅๅพๅฐ ๆฏ measurable ็.
ๅนถไธ
ไบๆฏ
ๅณ . (ไป่ ่ณๅคๅจไธไธช measure zero set ไธๆ ็ฉท).
ๅนถไธ a.e. ่ฟไธ็นๅพ้่ฆ, ๅ ไธบไป่ๆไปฌๅฏไปฅๅฏน , ไฝฟ็จ Fatouโs Lemma:
ไป่ (็ฑไบ )
ไปฅๅ similarly get:
ไป่:
(่ฟ้ๆณจๆ, negate ไธไธช numerical seq ๅ liminf ๅ limsup. ็ฑๆญคๅฏ่ง Fatouโe Lemma ๅ ถๅฎๆฏๅพๅผบๅคง็, ๅช้่ฆๅฏน ๅ ๅ็จไธๆฌกๅฐฑๅฏไปฅๅพๅฐ: )
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Suppose is Lebesgue measurable.
่่่ฟไธ seq of function: .
ๅฎนๆๅ็ฐ p.w. ๆไปฌๅฏไปฅ็จ ไฝไธบ bound function. ไป่ๅพๅฐ:
compute
ไปค , ๆ: as for ;
ๅนถไธ่่ , ไฝไธบ bound.
ๅ ่ๆ
5.2 integration of real and complex functions-II [Fol 2.3]
5.2.1 corollaries of DCT
ไปฅไธไธบ DCT ็ corollaries:
5.2.2 Fubini for series and integral
ๅฏนไบ ไธญ็ sequence , ๅฆๆ , ๅ
ๅนถไธ
Recall Tonelli for sum and integrals: ๅฏนไบ in , ๆ:
(ๅๆฏ็ปๅ
ธ Fubini ่กฅๅ
Tonelli) ่ฟไธชๅฎ็ๆฏ Tonelli for sum and integrals ๅจ ไธ็ๆจๅนฟ.
ๆไปฌ set
By Tonelli for sum and integrals, ๆ:
็ฑๆกไปถ็ฅ้, , ๅ ่ . ๆไปฅ ๅฏไปฅไฝไธบ ็ DCT bound:
ๅ ่ by DCT::
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5.2.3 a function that is measurable in one var and ctn/diffble in another
ไปค be a measure space.
ๅฆๆ ๆปก่ถณ for all , ไปค
ๅๆ:
ๅฆๆ ๅฏนไบไปปๆ ้ฝ่ฟ็ปญ, ๅนถไธๅญๅจไธไธช ไฝฟๅพ for all , ้ฃไน ไนๆฏ ctn ็.
ๅฆๆ ๅฏนไบไปปๆ ้ฝๅญๅจ, ๅนถไธๅญๅจไธไธช ไฝฟๅพ for all , ้ฃไน ๆฏ differentiable ็, ๅนถไธ
่ฟไธ่ฏๆๅนถไธๅฐ้พ.
For part(1), STS:
Apply DCT with , .
For part(2), Suppose .
Apply DCT to
็ฑๅฏๅฏผๅพ่ฟ็ปญๅพ measurable.
ๅนถไธ by MVT,
ไป่ๆไปฌไน็จ bound ไฝไบ . Apply DCT:
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ๆฏๅฆๆ:
Here
ๅ ่
ๅฐ่ฏๆพๅฐๅฎ็ dominating : ่ฟไธชๅฝๆฐๅจ ๅค็ไธๆ้ๆฏ , ไฝๆฏ่ฟไธช ๅดไธๆฏไธไธช ๅฝๆฐ (ๅจๅ่ฝดไธ็งฏๅไธบ ). ไป่ๅฎไธๅฏไปฅ่ฟไนไบคๆข็งฏๅๅๆฑๅฏผ้กบๅบ. ไฝๆฏๅฆๆๆ ็่ๅด้ๅถๅจ ่ไธๆฏ , ๆไปฌๅฐฑๅฏไปฅไบคๆข่ฟไธช็งฏๅๅๆฑๅฏผ้กบๅบ, ๅ ไธบๆญคๆถๅฏไปฅ่ฎพๅฎ
5.2.4 as a Banach space
ๅจ ไธ, ๆไปฌ set
ๅ ไธบไธไธช normed -vector space. ๅณ, ่ฟๆฏไธไธช well-defined norm.
recall norm ็ๅฎไน, ้่ฆ็ฌฆๅ:
Homogeneity:
triangle ineq:
nonnegativity:
ๅไธคๆกๆฏ็งฏๅ็ linearity ็ไธไฝๆจ่ฎบ. ๅไธๆก by def.
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็ induced metric space ๆฏ complete ็. ๅณ, every Cauchy seq converges.
(ไป่่ฟๆฏไธไธช Banach space. )
ๅไธไธช Cauchy seq in .
่ฟ้ๆไธไธชๅผๅพ recall ็ proposition:
ๅจไธไธช metric space ไธญ, ไธไธช Cauchy seq converges ๅฝไธไป ๅฝๅฎๅญๅจไธไธช convergent ็ subsequence.
่ฏๆๅพ็ฎๅ. ๅฏนไบไปปๆ็ , ๅฏไปฅๅ , ๅ
ถไธญ N ไธบไฝฟๅพ่ฟไธชๅญๅบๅๆๆๅ
็ด ่ท็ฆป ็ไธๆ ๏ผM ไธบไฝฟๅพไธปๅบๅๆๆๅ
็ด ไธคไธคไน้ด่ท็ฆป ็ไธๆ .
ๅ ่ๆไปฌๅช้่ฆ่ฏๆๅญๅจไธไธช subseq s.t. ๅณๅฏ.
ๅทฒ็ฅ Cauchy, WTS: ๆถๆไธๆ้ๅจ ไธญ. ๆไปฌ็ด่ง: ็จ Cachy ๆกไปถๆ้ argument.
ๆไปฌ pick ๅญไธๆ ไฝฟๅพๅฏนไบๆฏไธช ้ฝๆ
ๅนถ set
ๅๆ
ไป่ by Fubiniโs Thm for series and seqs, ๅญๅจ:
ๅๆถๆ
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5.2.5 density of simple function of
ไปค ไธบไธไธช measure space, ไปค ,
ๅฏนไบไปปๆ , ้ฝๅญๅจ simple in , ไฝฟๅพ
่ฟๆฏๆพ็ถ็, by ็งฏๅ็ๅฎไน. ๆไน้ฆๅ ๆ divide ไธบ
่ๅๅฏน่ฟๅไธช้่ดๅฝๆฐ ๅๅซไฝฟ็จ simple function seq approximation, ๅไฝฟ็จ DCT:
ๆฏๆน่ฏด ไธบไปไธ้ผ่ฟ ็ simple function seq, ้ฃไน ๆฏๅฎ็ dominating function, ๅๆถไนๆฏๆ้. ้ฃไนๅฏนไบไปปๆ็ ้ฝๅญๅจไธไธช ไฝฟๅพ
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ๅฐคๅ ถๆฏ่ฟไธ็นๆฎๆ ๅต:
5.2.6 density of step functions in
่่ where ไธบไธไธช Lebesgue-Stieljes measure on , let ,
ๅฏนไบไปปๆ , ้ฝๅญๅจ step function , ไฝฟๅพ
where each ้ฝๆฏ open intervals.
ๅ general case ็ธไผผ. ๅฉ็จ the fact that ไปปๆไธไธช Lebesgue mble function ้ฝๅฏไปฅ็จ step function ๆฅ approximate.
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5.3 integration of real and complex functions-III [Fol 2.3, finished]
5.3.1 another dense subspace of :
ไธไธ่่ฏพๆไปฌ็ฅ้ไบ: ๆๆ็ simple functions ๅจ ไธญๆๆไบไธไธช dense subspace. ๅฐคๅ ถๆฏ็นๆฎๆ ๅต: ๅฏนไบ , ๆๆ็ step functions ๆๆไบไธไธช dense subspace of .
ไปๅคฉๆไปฌๅ ไป็ปๅฆไธไธช็นๆฎๆ ๅต ็ ็ ๅฆไธไธช dense subspace: ๆๆ็ cpt supported continuous function.
ไนๅฐฑๆฏ่ฏด, ไปปๆ็ Lebesgue intble function ้ฝๅฏไปฅ็จ ctn function with compact supp ๆฅ่ฟไผผ. ไธไธชๅฏ็งฏๅฝๆฐๅฏไปฅๆฏ supp ้ๅธธๆชๅผ็ไปฅๅ้ๅธธ unctn ็, ไฝๆฏๅดๅฏไปฅ็จ ctn and cpt supp functions ๆฅ้ผ่ฟ, in sense. ๅฝ็ถ่ฟๆฏไธ็งๅผฑ้ผ่ฟ. ๅฝๆฐๅฏไปฅๅทฎๅผๅพๅคง.
ไปค be a metric space, ๆไปฌๅฎไน:
ไธบไธไธช dense linear subspace.
ๅฏนไบ , let .ๆไปฌ้ฆๅ pick ไธไธช step function ๆฅapproximate :
็ฉบๅบๆฅ็ , ๆไปฌไฝฟ็จ ctn and cpt supp function ๅฏนๆฏไธช ่ฟ่ก้ผ่ฟ, by:
ไป่ , ๅ ๆญค by tri ineq. ๅพ่ฏ.
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5.3.2 Riemann v.s. Lebesgue integral
ๆไปฌๅทฒ็ปๅฎๆไบไธไธชไปปๆ็ measure space ไธ็ Lebesgue ็งฏๅ็ๅฎไน, ไปฅๅๅฏ็งฏ็ฉบ้ด็ๅฎไน.
Recall: Riemann integral ๆฏๅฏนไบ ็ๅฝๆฐๅฎไน็, ็ปๅ
ธๅฎไนไธบ ็ๅฝๆฐ.
็ฐๅจๆไปฌๆฏ่พๅฏนไบ ็ๅฝๆฐ็ Riemann ๅ Lebesgue ็งฏๅ. ๆไปฌๅฐไผๅพๅบ็ป่ฎบ: Riemann ็งฏๅๆฏ Lebesgue ็งฏๅ็็นๆฎๆ
ๅต, ๅณ, Riemann ๅฏ็งฏ็ๅฝๆฐไธๅฎไน Lebesgue ๅฏ็งฏ, ๅนถไธ็งฏๅๅผ็ธๅ. (ๅฏนไบ ็ๅฝๆฐไนไธๆ ท, ไนๅๅฐๅฑๅผ.)
Recall Riemann integral ็ๅฎไน:
ๅฏนไบ bdd, ไธไธช partition on ๆปก่ถณ
Define:
Define over all possible partition on : lower integral and upper integral
ๆณจๆๅฐ, ๅฏนไบไปปๆ็ , ๆปๆฏๆ
ๆไปฌ็งฐ ๆฏ Riemann integrable ็, if
่ฟไธช ็งฐไธบ ๅจ ไธ็ Riemann integral.
5.3.3 Riemann intble Lebesgue intble
for (a): ๅฏนไบ็ปๅฎ partition , ๆไปฌ set:
ไป่ๆ:
ๆไปฌ็ฅ้, refinement ่ฝๅขๅ , ๅๅฐ ไป่ๅขๅ ้ผ่ฟ็ฒพๅบฆ, ่ฟไธ็นๅจ Lebesgue integral ไธญๆดๅ ๆๆพ:
็ฑไบ Riem integrable, ๅญๅจไธไธช seq of partitions ไฝฟๅพ , (mesh), ๅนถไธ
ๅ ่ settiing
ไธบไธไธช increasing limit;
ไธบไธไธช decreasing limit; ็ฑ mble seq ็ limit behvior ๅพ ไธ ๅนถไธ by DCT:
ไป่
ๅ ่
ๅ ่
(็ฑไบ complete, ๆฏ Lebesgue mble ็.)
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5.3.4 Lebesgueโs criterion for Riemann integrability
ๅฎไน
ๅๆ
ๅจ 395 ไธญๅทฒ็ป่ฏๆไธๆฌก. ่ฟ้ๅๅ้กพไธๆฌก.
Backward direction: trivial.
Forward direction: assume .
ๅฏนไบ , ๆไปฌ define:
ๅณ ๅจ ๅค็ไธไธๆ้. ไป่:
ๅ ่่ฆ่ฏๆ , STS: a.e.
To prove this: ่ง 395.
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5.4 modes of convergence [Fol 2.4, finished]
5.4.1 convergence family
ๅฏนไบ , ๆไปฌ็ฎๅๆ 4 ็งไธๅ็ convergence.
2 general ones:
pointwise convergence: ๅญ้ขๆๆ.
uniform convergence (on a subset): ๅฏนไบไปปๆ error bound , ๅญๅจๅไธไธชๅบๅท ๅฏไปฅ -bound ไฝ่ฟไธช้ๅ้ๆๆ็ ็ๅฝๆฐๅผๅ limit ๅฝๆฐๅผ็ error.
2 in a measure space:
a.e. convergence: ptwise convergence for a.e. , ๅณ outside a null .
convergence in :
ๆไปฌ recall trivial relation:
ไฝๆฏๆไปฌไธๆธ
ๆฅ -convergence ๅๅฎไปฌไน้ด็ๅ
ณ็ณป.
ๆไปฌ็ไปฅไธ็ examples:
5.4.2 examples showing a.e. ptwise conv ๅ conv ไธ่ฝไบๆจ
on , ไปฅไธ :
escape to width
uniformly ไฝ in
escape to hat:
ptwisely ไฝๅนถไธ uniformly, ๅนถไธ in
escape to height:
a.e., ไฝๆฏๅนถไธ ptwisely, ๅฝ็ถไนๅนถไธ uniformly, ๅนถไธ in
typewriter: ๆไปฌๆๅบ้ดๅๅๆไธช็ญ้ฟๅญๅบ้ด, ๅฏนไบ ไปค ไบคๆฟๅ 1, ๅ ถไปๅ 0.
ๅณ, for given , is the indicator function of the -th dyadic interval.
ๅ ่ in , ไฝๆฏ , ptwisely. (ไนไธ a.e.) (่ฟไธชไพๅญ, ๅจๆจๅนฟ่ณ ็ฉบ้ด็ๆถๅ, ไนๆ , ไนๅฏไปฅ่ฏดๆ convergence ๅนถไธ่ฝๆจๅฏผ a.e. convergence, ้คไบ ็ไพๅค.)
ๅจ่ฟไบไพๅญไธญ, ๆไปฌๅ็ฐ, -convergence ๅ uniform, ptwise, a.e. ่ฟไธไธช modes of covergence ้ฝไบไธๆจๅฏผ. ๅฏนไบ uniform convergence ๅ ptwise convergence, ่ฟๆฏๅพๅ็็, ๅ ไธบๅฏไปฅๅฝๆฐ่ถๆฅ่ถๅฎฝๅๆไฝฟๅพ็งฏๅไธๅไฝๆฏๅด uni conv; ไนๅฏไปฅๅฝๆฐ็งฏๅๆถๆไฝๆฏๅจไธไธช้ถๆต้ไธๅๅค่ทณ่ท.
ๅนถไธๆไปฌ่ฟไธๆญฅๅ็ฐ, ๅฐฑ็ฎๆฏ a.e. ๆถๆ, ไนๅ ๆถๆๆฒกๆไบๆจๅ
ณ็ณป. ๆฏๅฆ ex (3), ่ฟไธชๅฝๆฐๅชๅจ ๅคไธๆถๆ่ณ 0, ไฝๆฏๆดไฝ็็งฏๅๅดๆฏ const 1.
ๆไปฌ recall: ไธคไธชๅฝๆฐ a.e. ็ธ็ญ, ็ญไปทไบๅฎไปฌ็ distance ไธบ 0. ไฝๆฏๅฎไปฌไฝไธบๅฝๆฐๅๆ้่กไธบ, ๅนถไธ็ธๅนฒ.
ๅ
ณไบ -convergence ๅ uniform, ptwise, a.e. convergence ็ๅ
ณ็ณปๆไปฌๅทฒ็ป่ฎจ่ฎบๅฎไบ.
ๆฅไธๆฅๆไปฌๅฐๅ
ณไบ -convergence ่ฟไธๆก็บฟ, ๅผๅ
ฅไธไบๆฐ็ convergence modes, ๅจๆดๅคง็ convergence family ไธญ่ฎจ่ฎบ่ฟไบ convergence ็ๅ
ณ็ณป.
5.4.3 3 new modes of convergence: fast -conv, conv measure and subseq a.e. conv
ๅฏนไบ , ๆไปฌๅฎไนไปฅไธไธ็ง convergence:
fast -convergence: if
convergence in measure: if
subseq a.e. convergence: if ๅญๅจไธไธช subseq ไฝฟๅพ
ๆพ็ถ, fast -convergence -convergence;
ๆไปฌๆฅไธๆฅๅฐ่ฏดๆ, fast -convergence ไน a.e. convergence (ไบๆฏๅฎๅๆถไฝไธบ a.e. convergence ๅ -convergence ็ไธไฝๆถๆ, ไฝไธบ่ฟไธคๆก็บฟ่ทฏ็ไธไฝไบคๆฑ.)
่ๆไปฌไนๅฐ่ฏดๆ: -convergence ๅ a.e. convergence ้ฝ subseq a.e. convergence, ไฝไธบ่ฟไธคๆก็บฟ่ทฏ็ไธไฝไบคๆฑ.
ไปฅๅ, -convergence convergence in measure.
ไปฅไธ็ๆ ่ฎฐๅฐๅจไนๅๅ ไธชๅฎ็็่ฏๆไธญ็จๅฐ: ๆไปฌ็ฐๅจ define:
่ฟไธช้ๅ่กจ็คบๅฏน็ฌฌ th term, error ๆงๅถๅจ ไปฅๅ
็็น.
ไป่ๆไปฌๅฏไปฅ็จไบคๅนถ็ๅฝขๅผๆฅ่กจ็คบ ptwise ๆถๆ็น็้ๅ:
Recall Chebyshev:
ๆไปฌๅ
็ complement
By Cheb, for each we have:
ๅ ่็ฑ fast -convergence ็ๆกไปถๅฏๅพ
ๅ ่ by ctn from above,
ๅ ่
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if in , then there exists subseq s.t. a.e.
(ๅณ convergence implies subseq a.e. convergence)
ๆณจๆ: ๅฏนไบ -convergent ็ seq, ๆไปฌๅฏไปฅ pick ๅบไธไธช fast -convergent ็ subseq.
Pick s.t.
Then
็ฑๅๆ็ prop ๅพ, a.e.
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5.4.4 a.u. conv.(ๅนถ้ uni. conv. a.e.) ๅ Egoroffโs Theorem
ๆไปฌ็งฐ almost uniformly (a.u.), ๅฆๆ , ้ฝๅญๅจ s.t. ๅนถไธ uniformly on
ๅฆๆ ๆฏไธช finite measure (), ้ฃไน
a.u. a.e.: DIY (ๆพ็ถ)
a.e. a.u.: Fix , ๆไปฌๆ
ๅ ่
By Ctn from Above:
Then:
Set
Then we have:
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ๆถ็ๅไพ: ่่ escape to hat function on .
a.e. ไฝๆฏๅนถไธ a.u., ๅ ไธบ .
If ๆฏ Leb. mble ็, ้ฃไน , ้ฝๅญๅจ compact s.t. ๅนถไธ ctn.
่ฟ้ๆไปฌ restrict to , ๅพๅฐ่ฟไธช subspace ๆฏไธไธช finite () ็ measure space. ๆไปฌ็ฅ้ ๆฏ dense subset.
First assume bounded, then , .
Then:
Pass to subseq: a.e.
Then by Egorov:
ๅนถไธ uniformly on .
By inner regu: ๅญๅจ cpt s.t. ๅนถไธ , ไป่ ๅนถไธ conv unif. on , so ctn on .
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5.4.5 summary: convergence mode relations
ไธๆก็บฟๆฏๅฝๆฐๅผๆน้ข็ๆถๆ, ไธๆก็บฟๆฏๆตๅบฆๅ็งฏๅๆน้ข็ๆถๆ, ็ฌฌไธๆฌกไบคๆฑๆฏ fast conv, ๆฑ่ๅจ subseq a.e. conv.
subseq a.e. conv. ๆฏๆๅผฑ็ convergence, ่ฟ้ๆๆ็ convergence ้ฝๅฏไปฅๆจๅฐๅฎ.
่ฟ้ๅฏ่ฝ่ฟๆๅ
ถไป็ convergence ๅ
ณ็ณป. ไฝๆฏๆไปฌไธๅ
ณๅฟ. ๅ ไธบไธๅคชไผ็จๅฐๅฎไปฌ็ๅ
ณ็ณป.
Homework 5: on integration(50/50)
None of the following questions will be graded. Do them, but do not hand them in.
Dirac measure:
Let be a measurable space, and a point. Let be the Dirac measure at , i.e. for , if and if . Show that every measurable function is integrable and
Remark: what is often called a Dirac delta function is actually this Dirac measure.
measure space ็ extension ไฟ็ measurable function ็ๅฏๆตๆงๅ็งฏๅ
Let and be measure spaces on the same set . Suppose that is an extension of .
Show that if a function on is -measurable, then it is -measurable.
Show that if a function on is -measurable and , then and .
almost everywhere defined measurable function
Carefully think through the notion of an โalmost everywhere definedโ measurable (or integrable) function. How can we deduce the โalmost everywhereโ versions of the main convergence theorems (MCT, FL, DCT) from their โeverywhereโ counterparts? Propositions 2.11 and 2.12 inย [Folland] are useful here (these appeared on HW4).
new measure from old:
Let be a measure space. Let be an -measurable function. Define by for .
Prove that is a measure on .
Prove that for every -measurable function . Hint: Start with the case when ; then treat the case when is a simple function; finally consider the case when is a general nonnegative function.
Now consider the case , where is Lebesgue measure. Each nonnegative function induces a Borel measure by (a).
Which functions induce a locally finite Borel measure? In that case, what is the distribution function for ?
Do all locally finite Borel measures arise from some ?
Can you interpret (b) as a change of variables formula?
Truncations in : ้่ฟ ๆ่ ็ๆ้ (bounded function / subset) ๅพๅฐ
Let be a measure space and an integrable function.
(Horizontal truncation) Suppose that for some with . Prove that
(Vertical truncation) Prove that
Remark: a similar question for nonnegative measurable functions appeared in HW4.
-convergence from dominated convergence
Let be a measure space, and , measurable functions on , . Suppose that a.e.ย and there is an integrable nonnegative function such that a.e.ย for all . Prove that in , i.e.ย
Hint: use DCT.
Lebesgue integrals and affine transformations
Let be a Lebesgue integrable function on . Prove that
for all real numbers with .
Hint: approximate using simple functions .
even moments of Gaussian distribution
Using Multivariable Calculus (and the fact that Riemann integrals coincide with Lebesgue integrals) one can show that
for every . Prove, by (justified!) differentiating with respect to , that
for .
Remark: here the integrals are as defined in this course. Remark: in probability theory, these are the even moments of the standard normal distribution.
Generalized DCT
Let be a measure space, and , . Suppose that
and for a.e. ;
a.e. for every ;
and .
Prove that
Hint: Follow the proof of the DCT, based on FL.
Criterion for -convergence
Let be a measure space. Let be integrable functions on , . Suppose that a.e. Prove that
Hint: use the generalized DCT.
Some of the following questions will be graded. Do them, and do hand them in.
Formal equivalence between MCT and FL
Let be a measure space and the space of measurable functions .
Let be a function that is increasing in the sense that implies . Prove that the following properties are equivalent:
is continuous along increasing sequences: if , and for , then .
if , , then .
is lower semicontinuous: if , and , then .
Here means that for all , and similarly for . Remark: the equivalence betweenย (a) andย (b) shows that the Monotone Convergence Theorem and Fatouโs Lemma are equivalent.
of ():
Suppose is continuous along increasing sequences. WTS:
for any sequence in .
Define for each
Then for all , is a measurable function. Also notice that by definition, is an increasing sequence, and
for each .
Applying to : since , we get
By def of , we have:
Since implies , we also have:
Taking the limit as , we get
Combining (5.1) and (5.2), we obtain:
which is exactly what we want.
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(): We now assume and prove that is lower semicontinuous, i.e. WTS:
Given pointwise, we have
Hence for the sequence , the pointwise limit of is exactly . gives:
This is precisely the definition of lower semicontinuity, proving .
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of ():
Assume is lower semi-continuous, i.e. If pointwise, then
Let be a sequence in such that , i.e.
WTS (a): .
Since is an increasing seq, for each , and since is monotone, we have
Hence
And by , since pointwisely, we have
Combining (1) and (2), we get
This we also has , this shows that exists and equals . This is exactly the statement of (a). Thus .
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Here we finished the proof that the three properties are equivalent. In particular, the equivalence of (a), (b) shows the equivalence of Fatouโs Lemma and MCT.
Convergence on subsets
Let be a measure space. Let be a measurable function for each . Suppose that there is a function such that
Assume that . Show that for every . Hint: Use Fatou twice. It may be useful to note that even though in general, if exists, then for sequences of extended real numbers .
Find an example of on the measure space showing that (a) does not necessarily hold if .
of (a):
By Fatouโs Lemma, since pointwise and all are nonnegative,
For the same reason,
Since
, we have:
Rearranging the terms, gives:
Combining with the statement given by Fatouโs Lemma:
We then have:
Since also by definition of limsup and liminf we have:
We have:
This completes the proof.
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of (b): Define for each
Then we have:
for each . So
And the pointwise limit of is
So the integral of is also:
But consider the subset , we have:
So
while
This completes the counterexample.
Some integrals
Use the DCT to evaluate the following limits:
where is a non-negative integer. (The integrals are Lebesgue integrals.)
of (a):
Define
Recall that for all , we have:
So for all , and for all , we have:
So by taking:
We have:
Since is continuous a.e. (except on ), it is a measurable function. And it is Riemann integrable. We can do Riemann integration of :
Also, for each , since
We have for each :
Thus the pointwise limit of is:
(Notice it coincides with the that we chose as bound.) We also have:
Then by DCT,
This finishes the calculation.
of (b):
Define for each
and for .
Then the integral we wish to evaluate can be written as
We first evaluate the ptwise limit function .
For :
For :
for all large enough .
Recall the standard limit , hence
Thus
Now we determine the dominating function .
Consider the same function as :
We now prove this same function works.
Let .
It is sure that for , since .
So consider .
Recall the inequality:
Thus we have:
Therefore,
Thus in all cases,
Recall:
is finite for all nonnegative integers . Thus is integrable. Then is indeed a dominating function for .
Applying the DCT, we exchange the limit and the integral:
thus
This finishes the evalutation of this integral.
Continuity of translations
Let . For , set . Prove that is a continuous map from to . In other words, prove that if , then
Hint: approximate .
We write:
for . Let .
Recall that is dense in . So there exists a function such that
Since is continuous and compactly supported, it is uniformly continuous. Denote . There exists such that for all ,
Integrating the difference over this support gives:
Recall that is a normed vector space with as the norm. So by the triangle inequality of a norm, we have:
By the translation invariance of Lebesgue measure, we have:
By choosing such that , we get
Since is arbitrary, this proves that for any ,
finishing the proof of continuity of the map .
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An interesting integrable function
For , define by for and otherwise. Let be an enumeration of the rational numbers, and define by
Prove that has the following properties:
is Borel (and hence Lebesgue) measurable;
is Lebesgue integrable, that is ;
there exist uncountably many such that ;
is discontinuous at every point where ;
is unbounded on any nonempty open interval , that is ;
the statements inย (d) andย (e) remain true even if we redefine on a set of (Lebesgue) measure zero.
for all and all intervals .
of (a):
We define
and
and
to simplify the expression.
Then we have:
Notice that, since each is nonnegative, is a increasing sequence of functions, so for any , exists in . This shows the well-definedness of .
Now we claim: each is Borel measurable.
By translate invariance and scaling invariance of Borel measurability, to prove the claim, it suffices to prove that each is Borel measurable for any .
If , we have:
if , then we have
if , then we have
This proves that is Borel measurable for any .
Thus each being a finite sum of Borel measurable functions, is Borel measurable.
Then as the limit of Borel measurable function sequence , is Borel measurable.
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of (b):
We define:
in order to simplify the expression.
By translation invariance of Lebesgue measure, we have for any , :
So by homogeneity of integral,
Thus we have:
by sum of geometric series. Since this sum of integral of the sequence is finite, we can apply theorem 2.25 on Folland, to exachange the order of limit and integral, and have:
Hence,
So . This proves .
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of (c):
For , if on a set where , then
Proof for Lemma: trivially follows from definition. We can pick make a sequence of simple functions , setting (doable since ) then we have:
So the limit of integral of this simple function sequence is .
Then (c) follows from the lemma: suppose for contradiction that there exist only countably many such that , we denote this this by , then on which has positive measure (since has measure 0), . So by lemma, , contradicting with the fact that proven in (b). So there exist uncountably many such that .
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of (e): Fix an interval . By the density of rational numbers in any interval, there exists some rational . Note that though , can be arbitrarily large near .
Fix .
It suffices to pick some s.t.
So by taking any
then it is done.
Since we already have , we have
Since is arbitrary, this proves that the value of on can be unboundedly large, finishing the proof that
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of (d): Notice that we first proved (e) and then letโs prove (d) using the conclusion of (e).
Let s.t. .
Suppose is continuous at , then by definition, there exists an open neighborhood s.t. for all .
But since the neighborhood is an interval, we have:
by (e). This two facts contradicts. So by contradiction we have proved that is discontinuous at .
So we can conclude that is discontinuous at any point s.t. .
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of (f): Let be an interval.
Suppose we have redefined on a measure set. We pick a rational (It does not matter whether the new is defined there.)
For arbitrary , we can still always find an s.t. that keeps its original , which guarantees that , implying . This is because, if not so, then it means that we have modified the whole interval , which is not a measure zero set, conflicting with the statement "redefining on a measure zero set". So (e) must still hold true.
For (d), we apply the same trick as original, getting an open interval around s.t. for all . And by the restated (d), even if we modified a set of measure zero on , we still reaches the the same conclusion that , thus causing the same contradiction.
This finishes the proof.
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of (g): WTS: for all and every interval Claim: for each , fails to be in when , i.e its integral is . Fix .
Since by translation invariance of Lebesgue integral,:
where
Since , there eixst such that for all , the exponent is less than , causing for sufficiently large . Multiplying by the constant does not remove the infinity.
Hence for large enough , each individual summand has an infinite integral, then by monotonicity of integral,
also has an infinite integral, finishing the proof.
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Nur fรผr Verrรผckte
(Itโs really not necessary to attempt these problems. Do not, under any circumstances, hand them in!)
- Make an accurate sketch of the graph of the function in the last problem.
6 product measure and Fubini-Tonelli theorem
6.1 product space and product measure [Fol 1.2, finished; 2.5]
Goal: Given , construct , s.t.
So that we can do Fubini (iterated integration) like that in Riemann integral.
6.1.1 product -algebra
Suppose mble, , the product -algebra on is the smallest -algebra s.t. the coordinate map
is measurable.
ๅณ the -algebra generated by: .
ๆไปฌๅฎนๆๅ็ฐ:
By def ๆๅพ. (Prop 1.14 in book).
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6.1.2 product Borel algebra Borel algebra of the product space
If are metric spaces. Let (with product metric), then:
and the equality holds if separable .
Now let dense, ctbl.
Set
Then: every open set in is a ctbl union of products , each . Then we have:
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if is a mble space, then
็ฅ.
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6.1.3 construction of product measure
ไธ้ขๆไปฌๆๅปบ product measure: Let , be mble spaces.
And let , Goal: ้่ฟ Hahn-Kromolgrov ๆฅๆๅปบ product measure on product mble space. Idea: Let
Step 1:
6.1.4 all finite disjoint unions of rectangles as an algebra
is an algebra.
The set satisfies:
(็ปๅพๅฏ็ฅ).
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Step 2:
6.1.5 ๅ็ปดๅบฆ measure ็ product ไฝไธบ rectangle ็ measure, ไป่ๅฎไน premeasure
Now define
as follows:
Claim 2:
(1) is a well-defined premeasure on .
(2) If each is -finite, so is .
Sketch: (2) DIY. (1) STS(check): if is a finite or ctbl union of rects , then
Use Tonelli for sums and integrals:
Integrate w.r.t. :
And repeat for .
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6.1.6 HK extension of the premeasure as definition of product measure
Step 3: ็ฐๅจๅทฒ็ปๆไบ -finite ็ premeasure, ๆไปฌๅฏไปฅๅบ็จ HK Thm ๆๅปบๅบๅฎๆด็ measure. Now use HK:
measure on extending .
(And if each are -finite, then product measure ไน -finite, ไป่ ๆฏ unique extension.)
็ฑๆญค, ๆไปฌไป ็ measure ไธญๆๅปบๅบไบๅฎไปฌ็ product measure.
6.1.7 associativity of product -algebra and -finite product measure
ๆปๆ
ๅนถไธ, if are -finite, then:
DIY. ๅ่ play with def, ๅ่ ็ดๆฅ็ฑ -finite ็ premeasure ็ HK extension unique ๅพๅฐ.
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6.1.8 ๅฆไฝ่ฏๆไธไธชๅฝๆฐ product measurable
่ฆ่ฏๆไธไธชๅฝๆฐๆฏ product measurable ็, ๅช้่ฆ่ฏๆๅฎๅฏนไบๆฏไธช measurable rectangle ็ preimage ้ฝๆฏ measurable ็ๅณๅฏ.
Suppose is a function from a measurable space to a product measure space .
Claim: If for each measurable rectangle , then is an -measurable function.
ๅ ไธบ product -algebra ็ฑๆๆ็ measurable rectangles ็ๆ.
Hw7 ไธญๆๅฆไธ็็่ฏๆไฝไธบ lemma.
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ๅจ Hw7 ไธญๆไปฌๅฏไปฅ้่ฟ่ฟไธช lemma ๅพๅฐไธไธช็ป่ฎบ: ๅฆๆ , ้ฃไน ็ diagonal ไธๅฎ .
ๅฏนไบ็นๆฎ็ๅฝๆฐ, ๆฏๅฆไธคไธช measurable function ็ไน็งฏ, ๅ ถไธๅฎๆฏ product measurable ็.
ๆกไปถ: , ไธบ arbitrary measure space (ไธ้่ฆ -finite.), , ไธบ measurable functions.
็ป่ฎบ:
ๅนถไธๅฆๆ ๆฏ ็, ้ฃไน ๅนถไธ
in hw 8. ่ฟไธช statement ่กจ็คบไธไธช ็ๅฝๆฐๅไธไธช ็ๅฝๆฐ็ไน็งฏๆฏ ็.
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6.2 Tonelliโs Thm [Fol 2.5]
ๆไปฌๅฐ focus on the case : , , ่่
ไป่, ๅฎๅฏไปฅๆจๅนฟๅฐไปปไฝ finite ไธช measure space ็ product ไธ.
6.2.1 ็ section
็ปๅฎ product space ไธ็้ๅ , ๅฏนไบ , , ๆไปฌๅฎไน:
็ปๅฎไป product space ๅบๅ็ๅฝๆฐ , ๅฏนไบ , , ๆไปฌๅฎไน:
่กจ็คบๅบๅฎไฝไธไธชๅ้, ๅฆไธไธชๅ้็ๅๅ.
ๅฏนไบไปปๆ็ ๅฆๆๅฎไน:
้ฃไนๆ:
ๅฏนไบ rectangle: , , ๆ
(a)
(b)
(a) Let
Claim: ๅ
ๅซไบๆๆ็ rectangles, ๅนถไธ a -algebra.
ๅฎนๆ่ฏๆ่ฟไธ็น. ไป่, ็ฑ ็ๅฎไน (ไธบๅ
ๅซๆๆ rectangles ็ๆๅฐ -algebra) ๅพ , ไป่ (a) ๆ็ซ
ๅนถไธ็ฑไบ (check) (Similar for ), (a)(b).
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Given a set , a collection is called a monotone class, if it is closed under countable increasing unions and countable decreasing intersections
ๅฝ็ถ, ไธไธช -algebra ๆฏไธไธช monotone class. monotone class ๆฏไธไธชๆฏ -algebra ๆดๅผฑ็ๅฎไน.
6.2.2 tool needed to show Tonelli: Monotone Class Lemma
Let be an algebra.
Define ไธบๅ
ๅซ ็ๆๅฐ็ montone class.
Claim:
is trivial.
: STS ๆฏไธไธช -algebra. see p.66. ๅ
ทไฝๅๆณๆฏ่พ tricky, ไฝๆฏๆ่ทฏๆฏๅ
่ฏๆ ๆฏไธไธช algebra (่ฟไธ้จๅ่พ้พ. ๆไปฌๅฏนไบ , define ไธบ ไธญๆๆๅๅฎ็ไบคๅๅทฎไนไป็ถๅจ ไธญ็ ๆๆ็้ๅ, ๅนถๅ็ฐ่ฟไธชๅญ้ ไนๅๆ ทๆฏไธไธช monotone class. ไป่ );
็ถๅๅฏนไบไปปๆ็ seq, ๅ ถ ๅ ้กน็ finite union seq ๆฏไธไธช increasing seq, ๅ ถ limit ็ญไบๅ seq limit, ๆฏๅฑไบ ็.
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ไฝๆฏๅฆๆๆไปฌๅช็ฅ้ , ๆฒกๆ "ๅ ๅซ ็ๆๅฐ็ monotone class" ่ฟไธชๆกไปถๆไนๅ? ้ฃไนๆฒกๅ ณ็ณป, ๆไปฌๅพ่ช็ถๅพๅบ
Let be an algebra, be a monotone class, ้ฃไนไธๅฎๆ
ๅ ไธบ "ๅ ๅซ ็ๆๅฐ็ monotone class" .
6.2.3 Tonelli for sets: integrating a section to get product measure
Let , be -finite measure spaces.
Take . Then:
ๅนถไธ
Define:
Claim 1: contains ๆๆ็ rectangles. Proof of Claim 1: ่่ , ๅณไธบไธไธช rectangle. ไธไธ lec ไธญ, ๆไปฌ by def confirm: .
้ฃไนๅฏนไบไปปๆ็ , ๆไปฌๆ: , ๅฏนไบๆๆ็ , ๅๆ .
ๆไปฅๅฏนไบไปปๆ็ , , ๅ็ .
็ฑๆญคๅพๅฐ ๆฏ measurable ็, ๅนถไธ
ๅ็, . ไป่ๅพ่ฏ. ไป่, ๅฏนไบไปปๆ union of finite disjoint rectangles, ่ฟไธช็ป่ฎบไนๆ็ซ, by additivity in definition. ๅ ่ ไธบไธไธช algebra.
Note: ็ฑไบ ไธบๅ
ๅซๆๆ rectangles ็ๆๅฐ -algebra, ๆไปฌๅช้่ฆ่ฏๆ ไธบไธไธช -algebra, ้ฃไนๅฎไธๅฎๅ
ๅซ . ๅนถไธ by Monotone Class Lemma, STS: ไธบไธไธช monotone class.
Claim 2: ไธบไธไธช monotone class. ไปค ไธบไธไธช increasing seq in , ๅฎไนๅ
ถ union ไธบ . ๅนถๅฎไน:
ๆ นๆฎ ็ definition, ๆฏไธช ้ฝๆฏ measurable ็, ๅนถไธๆไปฌๅฎนๆ่ฏๆ:
ไบๆฏไฝฟ็จ MCT, ๅฎนๆๅพๅฐ
ไป่ .
It remains to show: closed under ctbl decreasing intersection. ไธ่ฟ่ฟ้ๆไปฌๆถๅๅฐไธไธช decreasing sequence ไธญ้ด็ช็ถไป infinite measure ๅไธบ finite measure ็้ฎ้ข, ๆไปฅๆไปฌไป่ฟ้ๅผๅง่ฆๅ finite ๅ not finite (but still -finite) ็ไธค็งๆ
ๅต่ฎจ่ฎบ. finite measure ไธ็จๆ
ๅฟไธ่ฟฐ่ฟไธ้ฎ้ข.
Case 1: finite, ไบๆฏไปค ไธบไธไธช decreasing seq in , ๅ increasing ็ๆ
ๅต similar, ๅพๅฐ , ไป่ by DCT (ๅ ไธบ donimating function), ๅพๅฐ
ไป่ๆไปฌ่ฏๆไบๅจ ไธบ finite measure ็ๆ
ๅตไธ, ไธบไธไธช monotone class, ไป่ไธบไธไธช -algebra, ไป่ .
Case 2: -finite measure: ๆไปฌๅฏไปฅๆ ๅไฝ union of a seq of finite measure sets , ไป่ไนๆฏ a union of increaasing seq of finite measure sets . (ๅ ) ไป่ๅฏนไบไปปๆ็ ,
ๅฏนไบๆฏไธช , ๆไปฌๅฏไปฅๅบ็จๅไธ็ป่ฎบ, ๅพๅฐ
ไป่ๅบ็จ MCT, ๅพๅฐ
ๅ็ , ไป่ , ๅพ่ฏ.
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6.2.4 Tonelliโs Theorem
Let , be -finite measure spaces.
ๆกไปถ: ไปค ,
็ป่ฎบ:
(ๆพ็ถ) ๅนถไธ
้ฆๅ
, ๅฏนไบ ๆฏ simple function ็ case, ็ดๆฅ follows from Tonelli for sets. (mentioned in remark.)
ๅฏนไบ general case: , ไปค ไธบไธไธช seq of simple functions ptwisely converging to .
ไบๆฏ
by MCT.
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6.3 Fubiniโs Theorem and Lebesgue integral in [Fol 2.5, finished; 2.6]
recall Tonelliโs Theorem: Given , set , . Then , , ไปฅๅๆ:
ๅฑๅผๅๅฏๅไฝ:
ๆดๅ ็ฎๆดๅฏๅไฝ:
if and then
for a.e.
for a.e.
Next: Fubiniโs Theorem.
Fubiniโs Theorem ๆฏ Tonelliโs Theorem ๅฏน -valued ๅฝๆฐ (instead of -valued) ็ๆจๅนฟ. ไฝๆฏๅ
ถๅฎ่ฏๆๅพ trivial.
6.3.1 Fubiniโs Theorem
ๆกไปถ: ,
็ป่ฎบ:
for a.e. , for a.e.
The a.e. defined functions:
, so WLOG can assume is -valued.
ๅ , ็ดๆฅ apply Tonellisโs Thm ๅฏๅพ.
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ๆฑๅๆขๅบ็ๅ็ๆง:
่่
if for and
Thm: ๅฏนไบไปปๆ , conv absly to some ;
ๅๆ ท, ๅฏนไบไปปๆ , conv absly to . ไปฅๅ conv absly to .
ๅณ:
6.3.2 complete Fubiniโs Theorem
่่ ่่ไธไธช Vitali set.
ไฝๆฏๅฆๆๆไปฌ consider completion:
ๅฏนไบ complete measure space , , ๅๅฎไปฌ็ product measure space ็ completion:
ๆไปฌๅฐ ็ฎๆๅไฝ , ็ฎๆๅไฝ .
Suppose is -measurable ๅนถไธ or , ๅๆ
ๆฏ -measurable ็ for a.e. ไธ ๆฏ measurable ็
ๆฏ -measurable ็ for a.e. ไธ ๆฏ measurable ็
ๅนถไธ, ๅจ ็ๆ ๅตไธ, , , ไนๆฏ integrable ็, ๅณ , ๅนถไธ
exercise. ๆฏ่พ็ฎๅ.
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6.3.3 remark: integral of ้่ดๅฝๆฐ็ญไบ area under graph
ไปค ไธบไธไธช arbitrary measure space, ไธบ arbitrary ๅฏๆต้่ดๅฝๆฐ, ๆไปฌๅฎไน:
Claim: ๆฏ -measurable ็, ๅนถไธ
In hw 6.
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Homework 6: on product measure and mode of convergence (49/50)
Some of the following questions will be graded. Do them, and do hand them in.
Order of integration:
Use Tonelliโs Theorem and 1-variable calculus to give a rigorous proof for the equality
Define
Then we have
Since is nonnegative and continuous, it is measurable and thus in , where is -finite.
Thus we can apply Tonelliโs theorem:
Where
Thus
Make the substitution , then we have
This finishes the proof that
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integration of a function Area under the curve
Let be a -finite measure space, and let . Consider the subset consisting of all points with .
Prove that is -measurable.
Prove that .
of 2(a):
Hence
Since (by the measurability of ) and , each set in the union is a measurable rectangle, thus measurable in the product measurable space . Since a countable union of measurable sets is measurable in the product -algebra, We have
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of 2(b):
Since , and -finiteness of is assumed, -finiteness of is known,
we can apply Tonelliโs theorem to compute:
By definition of , if and only if , and otherwise. Hence, for each fixed ,
Therefore
Applying Tonelliโs theorem again yields
Thus we conclude that
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Oscillations: in measure
Consider the sequence , , on the interval . Prove that there exists a set such that and a sequence such that for all and all . Hint: use E. Consider convergence in measure
Claim 1: It suffices to show that converges in measure.
Proof of Claim 1: Suppose converges in measure to , then by Folland 2.30, there exists a subseq a.e. .And since has finite measure , by Egoroffโs Theorem, for any there exists s.t. and uniformly on .
Then we take and coresponding .
And for each , we let . By the uniform convergence property of , we can take s.t. for all whenever .
Therefore, and the sequence satisfty the requirements in the context.
This shows that, as long as we can show converges in measure to , the statement is proved.
Let for .
Claim 2: converges in measure.
Proof of Claim 2: The idea is that the exponent makes the sequence converge faster than the linear growth of that shortens a period and messes up the sin values.
Fix . (WLOG .) WTS:
We know that iff for some . Consider , let .
Denote
Then we can express the measure as:
Notice that by the monotonicity of arcsin function, we can solve for as:
Thus
Thus
Since is arbitrary, this finishes the proof that in measure.
Thus combining Claim 1, the whole statement is proved.
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Indicator functions ๆฏ ็ไธไธช closed subset
Let be any measure space. Let be the set of indicator functions , where and . Prove that is a closed subset of . In other words, prove that , and that if , , and , then .
Let be a seq of indicator functions in s.t. for some .
Define for all
Fix one , bt monotonicity of integration in , we have
Thus
Since in , it follows that .
Since is arbitrary, by ctbl sub additivity,
Define
By the definition of , we have the equality:
Thus , which means that a.e., showing that is a.e. an indicator function, in the same equivalence class of some indicator function in , thus we have . This finishes the proof that is a closed subset of .
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a complete metric space of measurable functions (other then )
Suppose that is a measure space such that . Set for .
Given measurable functions , set
Prove that induces a metric, also denoted , on the space
where iff a.e. Hint: prove that for .
Prove that if , then iff in measure.
Prove that is a complete metric space.
of 5(a): is an increasing function on .
Claim: for all , we have .
Proof of claim:
Let , we have
while
Note
We have:
Since and are positive, we can rearrange the ineq to be
which is exactly
as needed.
First, is a well-defined function on the quotient set, since if and then a.e. Consequently,
and hence
Now we prove that is a metric:
Nonnegativity: is immediate since and is a measure; and since iff a.e., we have iff a.e., that is,
Symmetry: follows immediately from .
Triangle inequality: For any three functions , we have pointwise
Then applying the subadditivity of proved above, we have:
Integrating both sides over gives
Therefore, is a metric on as desired.
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of 5(b):
Claim 1: in measure
Suppose . Let .
Since is strictly increasing in :
Hence
Since the function is nonnegative, by Chebyshev:
By assumption, , thus
Since is arbitrary, it proves that in measure.
Claim 2: in measure
Now assume in measure.
Let .
Observe that for any :
.
Hence by choosing any arbitrary , we can bound the integral by:
For the first term:
Because is finite, we can choose s.t. .
Once is fixed, by convergence in measure there exists such that for all ,
Then for any , we have:
Hence
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of 5(c):
Suppose is a Cauchy seq in , i.e. for any , exists some s.t. whenever .
WTS: converges, i.e. .
By (b) we know it suffices to show that in measure.
And by Folland 2.30, STS: is Cachy in measure.
Let . Let .
by Chebyshev:
So since is a Cauchy, there exists s.t. whenever , thus whenever .
This proves that is Cachy in measure, thus in measure, and thus converges, showing that every Cachy seq converges in . Therefore is a complete metric space.
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Nur fรผr Verrรผckte (Only for nuts).
(Itโs really not necessary to attempt these problems. Do not, under any circumstances, hand them in!)
Prove that the category of measurable spaces (see HW1) admits finite products, and that the product of and equals .
Now consider the category of measure spaces (see HW2). Consider two measure spaces , , and set , , and .
Prove that the projection maps are measurable, and that they are measure preserving iff for . Thus is not the categorical product of in general.
Prove that even if , the measure space is not the categorical product of in general. Hint: consider the case when the consist of two elements, for example .
7 Lebesgue measure on
7.1 Lebesgue measure in [Fol 2.6]
ไปๆฅ: Lebesgue measure in ็
regularity
behavior under affine transformation
behavior under diffeomorphism
7.1.1 Lebesgue measure in
่ฟๆฏ product measure ๆๅธธ่ง็ๅบ็จๅไพๅญ.
Lebesgue measure is completion of .
where Write:
Suppose or
Show:
for , by integrating over the rectangle .
Sketch: (since it is ctn on ) ไปฅๅ
ๅฏ่ฎก็ฎๅพ
่ๅ compute
by integration by part for twice.
7.1.2 regularities of Lebesgue measure in
If , ๅๆ:
outer regularity:
inner regularity:
if , ๅๅฏนไบไปปๆ , ้ฝๅญๅจ disjoint rectangles with sides that are open intervals (literally rectangles) s.t.
for (a,b) i.e. regularities:
Fix . By construction, ๅญๅจ finite disjoint union of rectangle for each , ไฝฟๅพ
By outer regularity of , ๅญๅจ open rect s.t. Then:
Construct as in dim (DIY) .
(ๅฎๆด Pf ๅฏ่ง 395 ็ฌ่ฎฐ, ๆญค็ฅ)
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for (c):
Notation as above.
Sides of are disjoint union of ctbly many open finite intervals.
ๅ ่ๅญๅจ open rectangle for each that are finite disjoint union of finite open intervals s.t.
Now pick from honest rectangles (ๅณ sides ้ฝๆฏ intervals ็ rectangle) insides (DIY). (ๅฎๆด Pf ๅฏ่ง 395 ็ฌ่ฎฐ, ๆญค็ฅ)
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For , if and then
ๅฏนไบไปปๆ , ้ฝๅญๅจ s.t.
ๅ ถไธญ each , ๆฏ rectangles with sides as finite open intervals.
ๅญๅจ s.t.
Similar to 1 dim case, ๅฏไปฅ่ฏๆ , ๆฏ dense subspace of .
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7.1.3 approximating an open set by countable disjoint interior cubes
ๅฏนไบ , ไปค be the collection of cubes whose side length is ไธ vertices ๅจ lattice ไธญ, ๅณ็ฒพ็ปๅบฆไธบ ็็ฝๆ ผไธญ็ๆๆ cubes.
ๅฏนไบ , ๆไปฌๅฎไน:
ๅณ, ไธไธชๆฏ่ขซๅ ๅซๅจ ไธญ็ๆๆๆ ผๅญ, ไธไธชๆฏๆๅฐ็่ฆ็ ็ๆๆๆ ผๅญ. ๅนถๅฎไน:
ไปฅๅ
By CFB, CFA ๅฎนๆๅพๅฐ:
Note: ่ฟ้็ ้ฝๆฏ union of cubes with disjoint interiors.
Let be open.
Claim:
Folland 2.43.
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ๆฏ Lebesuge measurable ็
7.1.4 behavior under affine transformation
Affine transformation ๅณ linear transformation + translation.
7.1.5 Lebesgue measure and integral is invariant under translation
ๅฏนไบ , ไธไธช translation ๆฏ ctn ็ๅนถไธ
(a) ไปปๅ ,
(b) if is Leb measurable, then so is .
More, if or , then ๅนถไธ
(Folland 2.42)
(a) ctn , ๅ ่ rectangle, so , each in , ๅ ่
BY HK uniqueness, get
if subnull set, so is . ๅ ่
(b) Pick . ๅ ่ , , null set ๅ ่
ๅฝ ๆถ, ็งฏๅ reduce to measure, ๅณ (a); ๅ ่
also holds for simple , by linearity.
ไป่ by def, ไน hold for ๅ .
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7.1.6 Lebesgue measure and integration is scaled under linear map
For (ๅณ linear map ไธๅฏ้) (a) ๅฆๆ is Lebesgue measurable, then so is .
Moreover if or , then , respectively. And
(b)
Note: ๅฏนไบ , ๅฆๆ
, ้ฃไนๅๆ
which trivially follows from computation. (and for any linear map .)
recall that:
ไปปๆ invertible linear map ๅฏไปฅ่ขซๆๅไธบ finite ไธช elementary linear maps. ( : scale ไธ่ก; : ไบคๆขไธค่ก; : ไธ่กๅ ไธๅฆไธ่ก็ๅๆฐ).
ไบๆฏ, ๆไปฌๅช้่ฆ prove the theorem for elementary linear maps ๅฐฑๅฏไปฅไบ. ่ elementary linear maps ็ cases ๅ easily follows from Fubini-Toneilli.
Let be Borel measurable.
ๅฏนไบ : ไบคๆขไธค่ก (ๅ
ถ det ไธบ โ1), ๆไปฌๆนๅ the order of integration for two coordinates, ๅ ่ integration ไธๅ;
ๅฏนไบ : scale ไธ่ก by const (ๅ
ถ det ไธบ ), ๆไปฌๅจไธไธช coordinate ไธ็งฏๅๅผ็ฟป ๅ, ๅ ่ๆดไฝ็งฏๅๅผ็ฟป ๅ. ่ฟ้็จๅฐไบ ็ Lebesgue integral ็ๅทฒ่ฏๆ็ป่ฎบ:
ๅฏนไบ : ไธ่กๅ ไธๅฆไธ่ก็ๅๆฐ (ๅ ถ detไธบ 1), ๆไปฌ recall ็ Lebesgue integral ็ translation invariance:
ๅ ่ๆดไฝ็งฏๅๅผไธๅ.
ไป่ๆไปฌ่ฏๆไบ (a) for Borel measurable .
ไป่, (b) for Borel set trivially follows from (a), by taking indicator function.
่ๅฏนไบ (b) ็ Lebesgue measurable case, for some Borel set ไปฅๅ subnull set , ไป่ .
ไป่ (b) proved.
่ (a) ็ Lebesugue measurable ็ case, by def reduces to where is Lebesgue measurable set, ไบๆฏ follows from the (b).
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7.1.7 Lebesgue measure is invariant under rotation (and reflection)
ๅฏนไบ rotation ๅ reflection (ๅณ orthogonal transformation), ๅณ ็ linear map , ๆ .
.
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7.2 Change of Variable Thm on [Fol 2.6, finished]
7.2.1 COV
Suppose open, ไธบไธไธช diffeomorphism.
Claim:
ๅฆๆ ไธๆฏ Lebesgue measurable ็, ๅ ไนๆฏ Lebesgue measurable ็. ๅนถไธ, ๅฆๆ ๆ่ , ๅๆ
ๅฆๆ ๆฏ Lebesgue measurable set, ๅ ไนๆฏ Lebesgue measurable set, ๅนถไธ
้ฆๅ
, ็ฑปไผผไบไธไธไธช lecture ไธญ็ๅไธช่ฏๆ, ๅช้่ฆ prove for Borel measurable functions ๅ Borel sets ๅฐฑๅฏไปฅไบ. ๆไปฌๅไธบไบๆญฅ่ฏๆ.
Step 1: ๆไปฌ้ฆๅ
่ฏๆ, ๅจ ไธบไธไธช closed cube ็ๆ
ๅตไธ (ๆไปฌ่ฝฌ่็จ ๆฅ่กจ็คบๅฎ), ๆ
Proof of Step 1:
By MVT ๅฎนๆๅพๅฐ, ๅฏนไบไปปๆ็ , ๆ:
(by bounding each entry.)
ไป่, ๆไปฌๅ็ฐ ๆฏ contained in ไธไธช่พน้ฟๆฏ ็ cube ็.
ไป่ๆ:
ๅจ invertible ็ไฝ็จไธ, ไป็ถๆฏไธไธช diffeomorphism, ไป่
Let .
็ฑไบ ๆฏ continuous ็, ไนๆฏ ctn ็ (ไป่ uni.ctn. in the compact cube), ๆไปฌๅฏนไบไปปๆ ้ฝๅฏไปฅๆพๅฐไธไธช ไฝฟๅพ ๅฏนไบไปปๆ็ s.t. , ้ฝๆ
ไบๆฏๆไปฌๅฏไปฅๆ ๅๅๆ interior disjoint ็ closed subcubes , ๆ ่ฎฐๅ ถๅไธชไธญๅฟไธบ , ๅ ถๆฏไธช็ side length ้ฝ่ณๅคไธบ , ไป่ๆ . ไบๆฏ
่ฏๆไบ่ฟไธ็ป่ฎบ, ๆไปฌๅฐฑๅฎๆไบ่ฟไธช proof ็ไธๅคงๅ.
Step 2: Prove
for open ็ case.
Proof of Step 2: Directly follows from ไธไธ lecture ็่ฟไธช statement: ไปปๆ open ้ฝๆฏ countable disjoint interior cubes ็ union.
Step 3: Prove
for Borel ็ case.
Proof of Step 3: Apply step 2 ็็ป่ฎบ, ไฝฟ็จ MCT for case, ไฝฟ็จ DCT for case. ่ณๆญค, ๆไปฌๅฎๆไบ (b) ็่ฏๆ็ไธไธชๆนๅ, ็ฑๆญคๅฏไปฅๅฎๆ (a) ็ไธ็ญๅผ็ไธไธชๆนๅ:
Step 4: ่ฏๆ
simple function ็ case reduces to measure, ่ ็ case follows from MCT.
Step 5: ไธ็ญๅผ็ๅฆไธๆนๅ: ๅ
ถๅฎๅพ็ฎๅ, ๅ ไธบ diffeomorphism ็ inverse ไป็ถๆฏ diffeomorphism, ๆไปฅ apply inverse ๅฏๅพ.
ๆณจๆ, ่ฟๅชๆฏ for Borel ๅ Borel measurable , ไธ่ฟๆไปฌๅฎนๆๆฅ็ๆจๅฏผๅบ Lebesgue measurable ็ๆ
ๅตๅ ็ๆ
ๅต; ไป่ๅๆฅ็ๆจๅฏผๅบ ็ๆ
ๅต.
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7.2.2 application of COV: polar coordinate
ๆไปฌๅฎไน:
by:
ๅ ถไธญ,
่ฟๆฏไธไธชๅพ็ด่ง็ๅๆ ๅๆข, ๅณไธไธช diffeomorphism.
ๆไปฌๅฎไน
่ฟๆฏไธไธช้่ฟๅๆ ๅๆข็ preimage ็ Borel measure ๅฎไน็ๆฐ็ Borel measure.
Define Borel measure on by:
ๅญๅจ unique ็ Borel measure on , ไฝฟๅพ for Borel measurable ไธ or , ๆ
่ง Folland 2.49.
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, .
ไฝฟ็จ polar coordinate ่ฎก็ฎ็งฏๅ:
่ฟๆฏๅ ไธบ:
่็ฑไบ
ๆไปฌๅพๅฐ
็นๅซๅฐ,
8 Hardy-Littlewood maximal function and Lebesgue differentiation theorem
8.1 Hardy-Littlewood max function and max theorem [Fol 3.4]
็ฎๅๆไปฌ finish ไบ Folland ็ Ch1, Ch2.
ๆไปฌๅฐๅ
่ทณ่ฟ Radon-Nikodym differentiation theory, ๅจ่ฎฒๅฎ space theory ๅๅๅๅฐ Radon-Nikodym differentiation theory. ไฝๆฏๆไปฌๅฐไผๅ
ๅฐ differentiation theory ไธญ็ไธไธช็นๆฎ้จๅ: HL max theorem ๅ Lebesgue differentiation theorem, ๅ ไธบๅฎไปฌๅจ space theory ไธญ้่ฆ่ขซ็จๅฐ.
ๆญค lec ๅฏนๅบ: Folland 3.4( 1)
Differentiation theorey ็ overview:
Radon-Nikodym derivative ๅนถไธๆฏ classical calculus ็ๆฉๅฑ (classical calculus ่กจ็คบๅ้ไน้ด็็ธๅฏนๅๅ), ่ๆฏไธ้จ้ๅฏน: ๅไธไธช measure space ไธ, ไธไธชๆตๅบฆๅฏนไบๅฆไธไธชๆตๅบฆ (่ฆๆฑๅฎไปฌไน้ด็ปๅฏน่ฟ็ปญ) ็ๅๅ็.
ไป่
่ฟไฝฟๅพๆไปฌๅฏไปฅๆดๆนไธไธช็งฏๅ with respect to ็ๆตๅบฆ.
ๅ
ถๆ ธๅฟๅฎ็: Radon-Nikodym Theorem, ่กจ็คบไบๅจไธ่ฌ็ measure space ไธ, ่ฟไธคไธชๆตๅบฆๆปก่ถณไธๅฎๆกไปถไธ, ่ฟไธช Radon-Nikodym derivative ็ๅญๅจๆง; ่ LDT ๆๅบไธ็งๅจ Euclidean space ไธ, ๆฑ Radon Dikodym derivative ็ๆนๆณ.
LDT ๆฌ่บซๆฏไธ็งๅฐ็งฏๅไฟกๆฏ่ฝฌๆขไธบ็นๆไฟกๆฏ็ๆๆฎต. ๅฎ่กจ็คบๅฏนไบ locally integrable ็ๅฝๆฐ, ๅฑ้จ็งฏๅๅนณๅๅผๅฏไปฅๆถๆๅฐๅฝๆฐๆฌ่บซ, a.e.
ๅ ่ๅจ็ฅ้ ๅ ็ๆ
ๅตไธ, LDT ๆไพไบ็ฑปๆฏ็ปๅ
ธๅพฎ็งฏๅไธญ "ๅฏผๆฐๆฏๅฑ้จๅๅ็็ๆ้" ็่ง็น: ๅจ Euclidean space ไธ, Radon Nikodym derivative ็ญไบๅฑ้จๅๅผ:
Radon Nikodym derivative ็ๅบ็จ: ๆฏๅฆๅจๆฆ็่ฎบไธญ, pdf/pmf ้ฝๆฏ cdf ๅฏนไบ Lebesgue measure ็ Radon Nikodym derivative; ๅจ่ดๅถๆฏๆจ็ไธญ๏ผ็ปๅฎๅ
้ช prior ๅ่งๆตๆฐๆฎ็ๅๅธ, ๅ้ชๅๅธ posterior ็ๅฏๅบฆๅฏไปฅ้่ฟ Radon-Nikodym ๅฏผๆฐ่ฎก็ฎ. ไธ้ขไป็ปๆฆๅฟต:
8.1.1 and local average
ๅฆๆ measurable ๅจไปปๆ bounded subset of ไธ็ integral ้ฝ , ๅ็งฐ function ๆฏ locally integrable ็, ๅไฝ .
่่
(ไฝฟ็จ polar coord) ๅฏ้ช่ฏ:
ๅฏนไบ , ไปฅๅ bounded and Lebesgue measurable with , ๆไปฌๅฎไน:
ไธบ ๅจ ไธ็ average value.
็นๅซๅฐ, ๅฝ ไธบไธไธช ball ๆถ, ๆไปฌๅฏไปฅๅไฝ:
่กจ็คบๅฎๅจ ไธบไธญๅฟ็ ไธบๅๅพ็ ball ไธ็ average.
ๅฏนไบไปปๆ , ้ฝๆฏ jointly continuous in and ็. ()
Suppose in .
ไบๆฏ for sure:
ๅนถไธ by DCT (ๅ ไฝไธบ bound) ๅฏไปฅๅพๅฐ:
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8.1.2 Hardy-Littlewood maximal function
ๅฏนไบ , ๆไปฌๅฎไนๅฎ็ HL maximal function ไธบ:
HF maximal ๅฝๆฐ ่กจ็คบ ็็ปๅฏนๅผๅฝๆฐๅจ ๅค่ฝๅๅฐๆๅคง็ local average.
ๅฏนไบไปปๆ , ้ฝๆฏ measurable ็.
Follows from lemma.
ๆฏ open ็, ๅ ไธบ ctn, ctn function ไธ open set ็ preimage ไน open.
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ๅฆๆ ๆฏ lower semictn ็, ้ฃไนๅฎไธๅฎ Borel (thus Lebesgue) measurable.
8.1.3 Vitali-type convering lemma
ๅฏนไบไธไธช ball ไปฅๅไธไธช constant , ๆไปฌๅฎไน:
For given collection of balls , ๅญๅจ disjoint subcollection ไฝฟๅพ
(ไบๆฏ,
)
Greedy Algrithm: ็ดๆฅๆ็
งๅๅพๅคงๅฐๆๅบ, ๅๅบๆๅคง็ disjoint subcollection.
Prove without words:
(ๆฏๆฌก้ฝ้ๆฉไธไธไธชๅๅ้ขๆๆๆดๅคง็็ไธ intersect ็ๆๅคง็; ๅจ่ฟไธช่ฟ็จไธญ, ๆๆๅๅ้ขๆดๅคง็็ๆ intersection ็็้ฝ่ขซ่ขซๅ ๆฌๅจ่ฏฅ็็ไธๅ็้.)
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8.1.4 Hardy-Littlewood maximal theorem
For , take constant , ๅๅฏนไบไปปๆ , ้ฝๆ:
Set
ๅ ่ by def of , ๅฏนไบไปปๆ็ ้ฝๅญๅจ ไฝฟๅพ
ๅฏนไบ compact , ไธๅฎๅญๅจ finite subcovering covers .
ไบๆฏ Apply Vitali-type covering Lemma:
ไบๆฏ by inner regularity, taking sup over all compact subsets ๅพ่ฏ.
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8.2 Lebesgue differentiation Theorem [Fol 3.4]
ๅฏนๅบ: Folland 3.4(2)
ๆไปฌๅฎไนไธไธชๅฝๆฐ ็ Lebesgue set ไธบ:
ๅ ถไธญๆฏไธช point ่ขซ็งฐไธบไธไธชLebesgue point.
8.2.1 original LDT: locally ๅฝๆฐๅ ไนๆฏไธ็น้่ฟ็ๅฝๆฐๅๅผ้ฝ็ญไบ่ฟไธ็นไธ็ๅผ
ๅฏนไบไปปๆ็ , is Leb mble and .
็ฑไบๅฏนไบไปปๆ ้ฝๆ:
ๆไปฅ it suffices to prove the statement for for ไปปๆ .
ๆณจๆ, ๆฏไธไธช function. ๅ ่ๅช้่ฆ prove the statement for ๅฐฑๅฏไปฅ generalize it to . ๅ ่ WLOG suppose .
้ฆๅ
, it is true for . (ๅฎนๆ check: ๅจๆ็น่ฟ็ปญๆง็ๅฎไน่ฝๅค imply ๅจ่ฟไธ็น็ๅๅผ็ญไบ่ฟไธ็น็ๅผ).
In other cases, ๆไปฌ้่ฆๅฉ็จ ๅจ ไธญ็ density.
Let
่ฟๆฏไธไธช nonnegative function. ๆณจๆ, ไธไธช lec ไธญๆไปฌ่ฏๆไบ ๆฏ jointly continuous in and ็. ๅ ่ ไนๆฏ jointly continuous in and ็.
ๆไปฌ้ๅๅฎไน:
ไบๆฏ ็ธๅฝไบ maximal function ็ไธไธชๅไฝ. ๅฎนๆ้ช่ฏๅฎไนๆฏ measurable ็. ๆไปฌ WTS:
็ญไปทไบ show:
Let . By density of in , ๆไปฌๅฏไปฅ pick s.t.
By triangular ineq in , for a.e. we have:
where
ๅ ่ putting , we have , ไปฅๅ ; ไป่ไธ่ฟฐไธ็ญๅผๅไธบ:
ไป่ไธๅฎๆ:
ๆไปฌๅๅซไปฅ HL max Thm ๅ Chebyshevโs Thm bound ไฝๅณ่พน่ฟไธคไธชๅผๅญ, ๅพๅฐ:
ไป่ๅพ่ฏ.
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If then
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8.2.2 density of a set at a point
ๅฏนไบ Lebesgue measurable (which implies: ), ๆไปฌๅฎไน:
ๅฏนไบ Lebesgue measurable (which implies: ), ไธๅฎๆ:
ๅ ไธบ่ฟไธช indicator function ๆฏ measurable ็, ไปฅๅ locally ็. ๆไปฅๅฎๅจ ๅค็ density ๅฐฑๅๆไบๅฎๅจ ๅค็ๅๅผ, ไป่ๅจ ไธ a.e. ไธบ 1, ๅจ ไธ a.e. ไธบ 0 (ๅฝๆฐๅผ).
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ๆไปฌ่ฟ้ไป็ปไธไบ behavior ๆฏ่พ็นๆฎ็้ๅ, ็ฉบ้ดๆฏ็นไธ่ฟไธช้ๅ็ density.
่่
่ฟๆฏไธไธช closed set.
ๅฏนไบ , .
ๅฏนไบ , .
ๅฏนไบ , . (ๅบ้ด็ไธ่พนๅจ ้, ไธ่พนไธๅจ ้)
ๅฏนไบ , undefined. ๅ ไธบๆฏๆฎต็ฉบๅฟๅๅฎๅฟ็ๅฐๆน, ่ฟไธชๆฏไพ็่ฝๅทฎ้ฝ้ๅธธๅคง. (ๅฎนๆ่ฏๆ่ฟไธชๆ้ไธๅญๅจ.)
่ๅ่ง, ไปปๅ , ้ฃไนๅ
ๅๆ:
่ฟ้็ๅ
ณ้ฎๅจไบ๏ผharmonic seq ้็ ็ๅข้ฟ่็ผฉๅฐ็้ๅบฆ้ๅธธๆ
ข. ๅจ ่พๅคง็ๆ
ๅตไธ, ่ๆฏๅบ้ด ๅ ไนไธ ๅ
ทๆ็ธๅ็้ฟๅบฆ, ๅ ๆญคๆญฃๅฆๆไปฌๆ็ฅ๏ผ. ๆไปฅ, ๆ ่ฎบ ไฝไบๅฎๅฟ้จๅ ่ฟๆฏ็ฉบๅฟ้จๅ ้ฝไธๅคช้่ฆ.
ๅฆไธๆน้ข, ๆไปฌๅๆ็ไพๅญไฝฟ็จ geometric seq ไฝไธบ่ๆฏๅบ้ด ็ๆๅปบๅ, ๅ fail, ๅ ไธบ ็้ฟๅบฆไธ ็ธๆฏๅคชๅคงไบ, ๆ , ๅ ๆญคๆ ่ฎบ ไฝไบๅฎๅฟๅบ้ด่ฟๆฏ็ฉบๅฟๅบ้ด ่ฟไฝฟๅพ ๅค็ๅฏๅบฆๆ ๆณๅฎไน.
8.2.3 generalized LDT
genralized LDT ่กจ็คบๅฏนๅฝข็ถไธ่งๅ (ๆชๅฟ ๆฏ ball) ็ๆถๆ่กไธบ, LDT ็ statement ไป็ถ stay true. ๅณ, ๅช่ฆ a family of Lebesgue mble sets shrink nicely to , LDT ๅฐฑๆปก่ถณ.
ๅฏนไบ , ไปปๆ็ , ไปค ไธบ a family of Lebesgue measurable sets, ๅ ถไธญๅฏนไบๆฏไธช ้ฝๆ:
ๅนถไธ
for some .
ๅๆ:
่ฏๆๅพ็ฎๅ, ๅ ไธบ
Homework 7: on differentiaion (50/50)
None of the following questions will be graded. Do them, but do not hand them in.
Completion of = Completion of
Let and be measure spaces. Let and be their completions, respectively. Then, the completion of is same as the completion of .
Modified HL maximal inequality ( instead of )
Prove that there is a constant that only depends on such that for every and ,
(Remark: We had for the HL maximal inequality. Here we have .)
density of a mble set at a point: for a.e. , for a.e.
For a Lebesgue measurable subset of , the density of at is defined as
provided that the limit exists. Prove that for a.e. and for a.e. . Hint: ask Lebesgue.
Some of the following questions will be graded. Do them, and do hand them in.
An identity:
Prove that for by integrating the function with respect to and over suitable regions.
For fixed , by FTC we have:
We do change of variable . This is a valid diffeomorphism mapping to .
Then by change of variable theorem we have:
Thus
Then we get:
Consider the function
is a composition of continuous functions, thus continuous. Note that it is also in since is bounded by , which is on the same domain (its integral is ), then by DCT, .
Thus we can apply Fubiniโs theorem to switch the order of integration:
Recall back in Calculus we use integration by part to get:
for . In our case, and . Thus
Therefore we here get
By Calculus we have (by chain rule):
Thus we conclude:
as desired.
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diagonal of
Prove that if , then
Using this fact, find an example of a subset such that for all and for all , but . Hint: ask Vitali.
of (a):
We consider the map:
Then it suffices to show that is -measurable. Since if so, then for each , , which is exactly what we want.
Let be a measurable rectangle, we discover that:
We first prove a lemma:
Suppose is a function from a measurable space to a product measure space .
Claim: If for each measurable rectangle , then is an -measurable function.
of Lemma:
Since for each measurable rectangle , the preimage of any countable disjoint unions of measurable rectangles, is also in , since is an -algebra.
We want to show: for any . It is equivalent to show that
Note that, it suffices to show that: is an -algebra. This is because we have shown
, and this is an algebra generating . Thus, if is an -algebra, we must have .
And since is an algebra, it suffices to show that is a monotone class, by the monotone class lemma.
Suppose with each , i.e. . Since is increasing, we hve
Since is an -algebra, we have
Thus
This is dually true for decreasing intersection, finishing the proof that is a monotone class thus -algebra, thus proving the lemma.
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After we proved the Lemma, we return to the original statement, concluding that is -measurable, thus finishing the proof: if , then
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of (b):
Take a Vitali set , and consider:
Then for any fixed , we have:
And for any fixed , we have:
Thus for all and for all .
However, we have , since by (a) we have proved that if , then
But it contradicts with the fact that is not Lebesgue measurable.
Thus satisfies our requirements.
(This happends since, as shown in class, the product measure space of two complete measure space is not necesarily complete. Here, the diagonal is a null set in and thus our Vitali portion is a subnull set, but is not complete (its completion is .)
Too dense: for all for mble
Prove that if is a Lebesgue measurable subset such that
for all open intervals , then .
Since is Lebesgue measurable, .
Let .
Then by definition of outer mesure, we can pick open intervals seq covering s.t.
Since , we have
Thus
Thus we have:
Thus
Since is arbitrary, this proves that
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็ปๅฎไปปๆ , prescribe ๅบไธไธชๅจ ๅค density ไธบ ็้ๅ
Let . Find an example of a Lebesgue measurable subset of whose density at is . Hint: Consider . where are disjoint small intervals accumulating at .
Consider take
as the union of a countable sequence of intervals drawing near .
Notice: There intervals are mutually disjoint, since
we thus have for ,
We use ; to denote each component interval; to denote the open interval where is located at; and to denote the length of each interval. Note that for each ,
Now we show that this set has Lebesgue density at below.
Let (WLOG ), then we have
Then for each , we have . Hence is entirely contained in :
We know that by telescoping,
Multiplying this by gives:
Thus by monotonicity of measure:
And for each , exceeds on the right, thus we get dually:
And we have:
since .
Therefore we get:
Further simplify:
As , we must have , and we know
Thus by Squeeze Theorem, we have:
Hence by def, indeed has Lebesgue density at .
(My note: The key point here is that, the harmonic seq shrinks very slowly in proportion as grows, almost have same length as for large , thus as we knows, so that whether lies in or does not quite matter.
On the other hand, the counterexample in class, using the geometric sequence as build block of , fails since the length of is too much compared to , actually , thus whether lies in or makes a lot difference, making the density at undefined.)
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Seqs of complex numbers: and
Prove that .
Prove that .
of (a):
We first want to show: for any , we have:
Fix .
Let . By definition,
We need to show that .
Claim: There are at most finitely many s.t. .
Proof of Claim: Suppose for contradiction that there are inifinitely many s.t. , say, all terms in the subseqence has . Then
which contradicts with .
Thus, suppose only on the finite terms we have (WLOG ). Then
Since for s.t. n , we have , for these indexes we have:
Thus we have
And also,
Thus
Thus
Since is arbitrary, this proves that
To show the strictness of the inclusion, we consider the harmonic series . We know that it diverges and for any , the -series (absolutely for sure) converges, thus but for every , showing that
This finishes the proof that
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of (b):
Fix .
Suppose sequence belongs , then
This implies that as , because if it did not, there would be infinitely many terms where is bounded away from zero, leading to divergence of the sum.
Suppose for contradiction that
Then there are infinitely many terms s.t. , since otherwise, exists some s.t. all for , then .
Suppose for the subseq we have . Thus
which contradicts with . Therefore we have:
This shows that
Since is arbitrary, this proves that
Now we show the inclusion is strict. Consider the sequence for all . Clearly, because it is bounded. However, for any :
This shows
Thus we have
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Nur fรผr Verrรผckte
(Itโs really not necessary to attempt these problems. Do not, under any circumstances, hand them in!)
Prescribing a Lebesgue density, Season 2
Let and . Find an example of a Lebesgue measurable subset of whose density at is . Hint: think spherically.
9 space and inequalities
9.1 Banach Space and space [Fol 5.1; 6.1]
ๅฏนๅบ Folland 5.1(1), 6.1(1).
9.1.1 norm and completeness
Recall:
ไธไธชsemi norm ๆฏไธไธชๅฝๆฐ starting from a vector space . ๅ
ถๆปก่ถณ (1): tri eq ๅ (2): homogeneity.
ๅฆๆไธไธช semi-norm ๆปก่ถณ (3): iff , ๅ็งฐๅฎไธบไธไธช norm.
ไธไธช normed vector space ็ induced metric space ๅฆๆๆฏ complete ็, ๅฎๅฐฑ่ขซ็งฐไธบไธไธช Banach space.
with Euclidean norm is a Banach space.
: space of ctn functions on equipped with norm is Banach.
: space of ctn functions with cpt supp on equipped with norm is not Banach! ่ฟๆฏๅ ไธบ, ไธไธชๆ cpt supp ็ function seq ็ๆ้ๆชๅฟ ๆ cpt supp. ๆฏๅฆ .
A metric space is complete iff every Cauchy seq has a subseq that converges.
Trivial.
: Clear.
: subseq conv dist bound + Cauchy dist bound can bound the whole tail with arbitrary .
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่ฟไธช statement, ็ดๆฅๆ complete ็ๅฎไนไปๆฏไธช Cauchy seq ้ฝๆถๆ, ไผๅไธบๆฏไธช Cauchy seq ้ฝๆไธไธชๆถๆ subseq.
9.1.2 every Cachy seq conv (complete) every abs conv series convs
ๅฏนไบไธไธช normed VS ไธญ็ seq , ๆไปฌ็งฐ converges, ๅฆๆๅญๅจ s.t.
ๅณ
ๆไปฌ็งฐ absolutely converges, ๅฆๆ
ๅณ่ฟไธช series ๅฏนๅบ็ norm series converges to some real number.
A normed VS is a Banach space iff every absolutely convergent series converges.
โ": ๅฆๆ is a Banach space, Suppose , ๅ้จๅๅๅบๅ
ๆ
For large enough ่ฟไธช bound ๅฏไปฅๆ ้ๅฐ, ๅ ่ is Cauchy. โ": ๅฆๆ ไธญ every absolutely convergent series converges.
Suppose is Cauchy. WTS it converges.
By Cauchy, ๅญๅจ subseq, say labeled , s.t. for all Then
Let be s.t. , , then
ๅนถไธๆ:
็ฑไบ , by our assumption ๅพๅฐ, ่ฟไธชๆ้ ๆฏๅญๅจ็.
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9.1.3 ไปปไฝ finite dim normed VS ไธๅฎ Banach, infinite dim ๅไธไธๅฎ Banach
ไธ้ขๆไปฌๅฐไป็ปไธ็ฑป infinite dimension ไฝๆฏ Banach ็ normed VS: spaces.
9.1.4 spaces
Consider .
Let ไธบไธไธช measure space.
Define for measurable:
Define
where if a.e.
ๅบๅฎไธไธช measure space , ๆไปฌๅฐ็จ ๆฅ็ฎๆๆไปฃ .
,
,
space is a -vector space.
Suppose .
็ฑไบ
ไบๆฏ by linearity of integral, ๅพๅฐ:
(Note: ๆถไนๅฏไปฅ by ่ฟไธๅฝๆฐ็ convexity ๅพๅฐ่ฟไธช bound, ไฝๆฏ่ฟไธชๆนๆณๅชๆๆไบ )
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ไฝๆฏ Question 1: Is a normed VS? ๅณ, ๆปๆฏไธไธช valid norm ๅ? A: True for , false for . Homogeneity ๅ iff (a.e.) ๆฏๆพ็ถ็, ไฝๆฏๆไปฌๅ็ฐ, tri ineq ๆฒกๆๆพ็ถ็่ฏๆ.
Next lecture, we will show the Minkowskiโs ineq, ๅณ space ไธ็ไธ่งไธ็ญๅผ:
ไฝๆฏ่ฟไธชไธ็ญๅผๅช hold for , ๅนถไธ fail otherwise.
(ๅ ่ๅฏนไบ space ็็ ็ฉถ, ๆไปฌๅฐ focus on ็ๆ
ๅต.)
Question 2: Is space, , Banach? Answer: Yes.
ๆไปฌไนๅฐๅจ next lecture ่ฏๆๅฎ.
9.2 inequilities on spaces [Fol 6.1]
ๅฏนๅบ Folland 6.1(2).
ๆไปฌๅฐ่ฏๆ Hรถlderโs ineq ไปฅๅๅฎ็ corollary Minkowskiโs ineq, ไป่่ฏๆ: ๆฏไธไธช normed VS, ๅนถไธๆฏไธไธช Banach space (่ฟ้ , ไฝๆฏ later we will also prove ไนๆฏ Banach space).
่ฟไธคไธชไธ็ญๅผ้ๅธธ้่ฆ.
9.2.1 Hรถlderโs ineq
Consider conjugate pair: s.t.
ๅๅฏนไบไปปๆไธคไธช measurable function , ไธๅฎๆ:
็นๅซๅฐ, ๅฆๆ , , ๅ , ๅนถไธ equality holds iff
Trivial Case 1: ๅฆๆ (ๆ่
), then is zero -almost everywhere, and the product is zero -almost everywhere, ไบๆฏไธค่พน้ฝๆฏ , ineq trivially true.
Trivial Case 2: ๅฆๆ or , ๅๅณ่พน infinite, ineq trivially true. ๅ ่ๆไปฌๅช้่ฆ่่ and are in ็ๆ
ๅตๅฐฑๅฅฝไบ.
Main case: ๆไปฌ้่ฆไธไธช Lemma:
Whenever with , ้ฝๆ
where equality is achieved if and only if .
ๅฆไธไธช็ญไปทๅฝขๅผๆฏ:
of Lemma:
ๅ trivial case. ๅ ่ setting , reduced to show:
with eq iff . ่ฟๆฏๆพ็ถ็, ๅ ไธบ by Calculus, ๆฏ strictly increasing for , strictly decreasing for ็, max ๅจ , ๆญฃๅฅฝๆฏ .
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ไฝฟ็จ Youngโs inequality for products ๅพๅฐ:
Integrating both sides gives
which proves the claim.
Integration ็ equality holds iff point equality holds a.e., ๅนถไธ, by Youngโs inequality for products, ไธ้ข็ equality holds iff
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9.2.2 Minkowskiโs ineq: tri ineq on , ็กฎ่ฎค -norm ๆฏ ไธ็ valid norm
Minkowskiโs ineq ๅณ space ไธ็ tri ineq.
ๅฏนไบไปปๆ , ้ฝๆ:
ๆพ็ถ, ๅฏนไบไปปๆ ้ฝๆ:
ๅ ่:
ๆไปฌๅฎไน
ไบๆฏ
ๅ ถไธญ ๆฏ ็ Hรถlder conjugate. ่ฟ้็ punchline is actually: ็ฑไบ
actually,
ๅ ่:
ไธค่พนๅๆถ้คไปฅ ๅพๅฐ:
ไป่ๅพ่ฏ.
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9.2.3 properties of spaces ()
9.2.4 () is Banach
() is Banach.
By last lec ็ๅฎ็: ไธไธช NVS ๆฏ Banach ็็ญไปทๆกไปถๆฏไปปๆ abs conv series ้ฝ conv. ๅ ่ๆไปฌ่ฏๆ่ฟไธ็นๅณๅฏ.
Suppose for each , ๅนถไธ่ฟไธช series abs conv, ๅณ:
ๆไปฌ define:
ๆไปฌ WTS:
in -norm induced metric sense, ๅณ, for some , ๆ
ๆไปฌ Set:
่ฟไธชๅฝๆฐไปฅๅๅฝๆฐๅ็ๅฎไนๆฏไธบไบไฝฟ็จ DCT, ไฝ donimating function ็จ.
By measurable function ็ limit behavior, ๆ
ๅนถไธ
็ฑไบ , by MCT ๆ
็ฑไบ , ๆ
ไบๆฏ:
ๅ , ๅฏๅพๅฐ:
ๅ ่ by DCT ๅฏไปฅๅพๅฐ:
ไป่
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9.2.5 Criterion for convergence: ้็น a.e. conv ็งฏๅๅผ conv
ๆไปฌๅๆ mention: DCT ๅฏนไบ function seq convergence ็่ฏๆๆๅพๅคงไฝ็จ. ่ฟ้ๆไปฌๅฐฑๆไพไธไธช DCT ๆจๅบ็ convergence ็ๅคๆญๅๅ:
if a.e. and , then .
ๅณ
ไฝๆฏ converse ๅนถไธๆ็ซ. ๅไพๆฏ typewriter function.
In Hw 8.
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9.2.6 dense subsets of , and specially
ๅฏนไบไปปๆ , the set of simple functions, is dense in .
ๅณ:
ๆฏ ็ dense subset.
ๅฏน ไฝฟ็จ simple function seq ้ผ่ฟ, ไฝฟ็จ ไฝไธบ dominating function of ; ่ๅไฝฟ็จ DCT ๅพ่ฏ.
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is dense in for
exercise. Similar to the proof for , ๅช้่ฆไฝฟ็จๅ ๅ ฅ power ็ function ไฝไธบ dominating function ๅณๅฏ.
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9.3 space, and relationship between spaces () [Fol 6.1, finished]
ๅฏนๅบ Folland 6.1(3), finishing 6.1.
ๆไปฌๅทฒ็ปๅฎๆไบๅฏน ็ space ็ๆๅปบ. ็ฐๅจ, ๆไปฌๆฅๆๅปบๆๅไธๅๆผๅพ: space.
9.3.1 space
ๆไปฌ่่่ฟไธชๅฏๅๅผ็ไพๅญ:
ไบๆฏ:
ๆไปฌๅ็ฐ:
ๅ ไธบ ๅๅพ่ถๅคง, ๆๅคง็ entry ็ contribution ๅ ๆฏๅฐฑ่ถ็ชๅบ.
ๅฏนไบ่ฟๆ ท็ space, ๆไปฌๅฏไปฅๅฎไน norm, ๅฎไนไธบๆๅคง็ entry.
ๅณไพฟ ๆฏ countable ็, ่ฟไธชๅฎไนไนๅฏไปฅๅฎไนไธบ , make sense.
้ฃไนๅฆๆๆไปฌๆณ่ฆ็ปไปปๆ็ measure space ๅฎไน sup norm ๅข? ๆไปฌๅฏไปฅ่่
ๅฎ้ ไธๆไปฌๆๆดๅฅฝ็ๅฎไนๆนๅผ:
ไนๅฏไปฅๅไฝ:
where ่กจ็คบ a.e. ็ธ็ญ็ๅฝๆฐ็ equiv class.
ไธ้ขๆฏไธไธชๆฏ่พๅ ธๅ็ไพๅญ:
9.3.2 space
with
ๅ ไธบๆดไธช ้ฝๆฏ้ถๆต็.
9.3.3 ็ๅบๆฌๆง่ดจ: as a NVS; Hรถlderโs ineq on it; dense subsets
ๅฆๆ ๅ:
ไธๅฎๆ for a.e. .
ๅญๅจไธไธช bounded ๅฝๆฐ , ไฝฟๅพ a.e.
ๆพ็ถ.
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ๅฏไปฅๆๅฎ็ไฝ Hรถlder ็ไธ้จๅ็นๆฎๆ ๅต, ๅ ไธบๅฏไปฅ็ไฝ
ไป่่กฅๅ ๅฎๆดไบ Hรถlder ineq for
ๆฏไธไธช normed vector space, equipped with
simple functions are dense in
ๅฎนๆ่ฏๆ.
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9.3.4 -convergence ไฝไธบ (finite measure space ไธ) ๆๅผบ็ convergence: ็ญไปทไบ uni. conv a.e.
(ๆณจๆ, ่ฟไธๆฏ conv almost uniformly, ่ๆฏไธไธชๆฏ almost uniformly ๆดๅผบ็ๆกไปถ: conv uniformly almost everywhere, ๅ ไธบ almost uniformly ๅช่ฆๆฑๅฏนไบไปปๆ็ , ้ฝๅญๅจไธไธช measure ๅฐไบ ็ , ไฝฟๅพๅจ ไธ uni conv ๅณๅฏ.)
โ: Suppose uni. a.e; WTS: in uni. a.e ๅณ: ๅญๅจ้ถๆต้ , on .
Let .
uni. a.e ่กจๆ, ๅญๅจ ไฝฟๅพ for all ๆ
by def, exactly is:
This shows that , ๅณ in .
โ: Suppose in ; WTS: uni. a.e.Denote:
By assumption, . Define for each :
By def , ไบๆฏ ้ฃไนไปค:
by subadditivity of measure ๆ . ไบๆฏๅฏนไบไปปๆ , ้ฝๆ
็ฑไบ , showing that outside , ๆ .
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9.3.5 as Banach space
For any measure space , is Banach for all
ๆไปฌๅทฒ็ป proved ไบ ็ case, ็ฐๅจ prove ็ case.
By Theoremย 9.44, ๆไปฌ็ฅ้ STS: every abs conv series conv in .
ๆไปฌ suppose ๆ
WTS: converges.
Set:
ไบๆฏๆ
ๅ ่ setting
ๆ
note:
ไป่,
ๅจ ไธๆฏ well-defined ็, ไธ bounded by .
ๅฏนไบ , ๆไปฌๅฏไปฅ้ไพฟ่ฎพ็ฝฎๅผ, ๆฏๅฆ , ็ถๅ define on . ็ถๅๅฏนไบ each , ๆไปฌ set:
ไป่
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9.3.6 relationship between spaces
9.3.7 , for measure finite space)
ๅๆๆไปฌๅทฒ็ป state ไบ, ไฝ่ฟๆฒกๆ่ฏๆ:
ๅฆๆ measure space has finite measure, ้ฃไนๆ
for ไปปๆ็ .
่ฟๆฏๆไปฌ้ฆๆฌกๆ ไน include ่ฟๆไปฌ็่ฎจ่ฎบ.
่ฟไธช statement ๅณ: ๅฏนไบ from finite measure space to ็ function , ๅฎ็ ๆฏๆฏ ๆดๅผบ็ๆกไปถ.
ๅฐคๅ
ถ, ้คๅป ็ๆ
ๅต, ๅฎๆด็ดๆฅ็ๆๆๆฏ: ๅฏนไบ ่่จ, ็็ปๅฏนๅผ็ ๆฌกๆน็็งฏๅ ๆฏๆฏ ็็ปๅฏนๅผ็ ๆฌกๆน็็งฏๅ ่ฆๆดๅผบ็ๆกไปถ.
่ฟๅ ถๅฎๆฏไธไปถๆฏ่พ็ด่ง็ไบๆ . ๅ ไธบๅฏนไบ ็้จๅ,
่ๅฏนไบ ็้จๅ,
็ถ่็ฑไบๆดไธช space ็ measure ๆฏ finite ็, ็้จๅๅนถไธๅฝฑๅ. ๅ ไธบ
ๅ ่, ๅฏนไบ ็ๆ
ๅต, ๆพ็ถๆ ๆฏๆฏ ๆดๅผบ็ๆกไปถ.
(ๅฎ้
ไธ, ๅฆๆๅชๆ measure finite ็ ไธ , ้ฃไนๅณไพฟ , ไนๆฏๆฏ ๆดๅผบ็ๆกไปถ; ่ๅฆๆๆ measure infinite ็ ไธ , ้ฃไนๆๅฏ่ฝ ๆฏๆฏ ๆดๅผฑ็ๆกไปถ)
My point: ่ฝ็ถ่ฏด ๆฏ่ตท ๆฏๆดๅคง่ฟๆฏๆดๅฐๅๅณไบ ๆฏๅฆ or , ไฝๆฏ ็ๅผๆฏๅฏไปฅ unbounded ็, ่ ็ๅผๅๆไน้่ฟๅฐๆฌกๆนๅๅพๆดๅคง, ไน่ถ
ไธ่ฟ . ๅ ่ ็้จๅ้ๅธธๆด่ฝๅฝๆฐ็งฏๅๅผ็ๆ้ๆง, ้ค้ๅจไธไธช measure infinite ็้ๅไธ .
่ฟ้ๆไธไธชๆดๅ ไธฅๆ ผ็่ฏๆ:
้ฆๅ , ๅฏนไบ ็ case, ๅฆๆ , ้ฃไนๅไปปๆ ้ฝๆ:
ๅ ถๆฌก, ๅฏนไบๆญฃๅธธ็ ็ case, ๆไปฌไฝฟ็จ Hรถlder: ๅฆๆ , ้ฃไนๅฏนไบไปปๆ , ๆไปฌๅฏไปฅๆ้ ๅบ Hรถlder conjugate ๅ ,ไป่:
ไป่
่ฟไธ proof ๅฉ็จ Hรถlder conjuate, ้่ฟๆ้ ๅ ๅซ ็ Hรถlder conjugate, ๆ ๆนๆไบ ็ expression.
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ไปฅไธๆฏไธไธช็ปๅ ธ็ไพๅญ:
่่ measure finite ็ measure space : ้่ฟ็ปๅ ธ็ Calculus ๆไปฌ็ฅ้:
ไฝๆฏๅฏนไบไปปๆ็ , ้ฝๆ:
่ๆไปฌๅ็ไธไธช measure infinite ็ measure space ไธ็ๅไพ, ้็จๅไธไธชๅฝๆฐ:
่ฟไธชๆถๅ, ่ถๅคง, ๅ่่ถๅฐ, ้่ฟ็ปๅ ธ็ Calculus ๆไปฌ็ฅ้:ๆไปฌ็ฅ้ ่ๅฏนไบ
ๅนถไธ , ๅ ไธบ .
่ฟไธช็ฉบ้ดไธ็่ฟไธชๅฝๆฐๆญฃๅฏนๅบไบๆไปฌๅๆ่ฎจ่ฎบ็, ๅฆๆๆ infinite measure ๆฐ้็ ไธ , ้ฃไนๅพๅฏ่ฝ ๆฏๆฏ ๆดๅผฑ็ๆกไปถ
9.3.8 control arbitrary ๅ ็ๅคงๅฐๆฏไพ, in measure finite space
9.3.9 , ๅฏนไปปๆ
ๅฏนไบ measurable ,
is log-convex.
equivalently ๅณ: ๅฏนไบไปปๆ็ , ้ฝๆ
where
For , then .
Since
ๅฏไปฅๅพๅฐ
ไป่ Taking th root ๅพๅฐ็ปๆ:
For : ๆไปฌ้็จ conjugate exponents:
่ฟๆฏๅ ไธบ:
ไป่ Applying Hรถlder:
Taking th root ๅพๅฐ็ปๆ.
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ไปค ไธบไปปๆ้ๅ, , ๆ:
่ฟๆฏๅ ไธบ
ไบๆฏ for case
(ๅฆไธ case, trivial.)
ๆไปฌๅ็ฐ ็ฉบ้ด, ่ถๅฐ่ฆๆฑๅ่่ถไธฅๆ ผ.
่ฟๆฏๅ ไธบ ็ฉบ้ดไธญไธไธชๅฝๆฐๅฐฑๆฏไธไธช seq, ๅ
ถ -norm ๅฐฑๆฏๅ้กน็ ๆฌกๆนๅ, ๅๅผ ๆฌกๆนๆ น.
ๅฏนไบไธไธช seq, ๅฆๆๅฎ็็ดฏๅ series ๆถๆ, ๅฎ็ๅ้กน่ฏๅฎๆฏ eventually ๆถๆ็, ้ฃไน่ฟไบ้คไบๆ้้กนๅค็่ฟไบ้กน็็ปๅฏนๅผ้ฝๆฏ ็, ้ฃไน ่ถๅคง, ๅฎไปฌ ๆฌกๆนๅๅชไผ่ถๅฐ. ่ฟๆญฃๅฏนๅบไบๆไปฌไนๅ่ฏด็ " ็็นไธปๅฏผๅฝๆฐ" ็ๆ
ๅต.
็ธๅฏนไบ่ฟไธชinclusion ๅ ณ็ณป, ๆไปฌ่ฟๆๅฆๅคไธไธช inclusion ๅ ณ็ณป:
ๅฏนไบไปปๆ็ , ้ฝๆ
่ฟไธช inclusion ๅ
ณ็ณปๆไธ็ง่ฐๅ็ๆ่งๅจ้้ข. ๅฎ roughly mean ็ปๅฎไธไธชๅฝๆฐ, ๅฎๅฏไปฅๆๆไธไธชๆดๅ ๅฎนๆ็งฏ็ๅฝๆฐๅไธไธชๆดๅ ไธๅฎนๆ็งฏ็ๅฝๆฐ, ๅนถไธๆไปฌๅพๅคง็จๅบฆไธๅฏไปฅๆงๅถ่ฟไธคไธชๅฝๆฐ็ๅฏ็งฏๆง.
ไฝๅ
ถๅฎๅพ็ฎๅ, ๅฐฑๆฏ็จๆไปฌไนๅ็ ๅ ็็นไฝไธบๅบๅ, ๆๅฝๆฐ็ๅฎไนๅๅๆไธค้จๅ. ๅฆๆ ็ m ๆฌกๆนๆฏๅฏ็งฏ็, ้ฃไนๆดๅฐ็ ๆฌกๆน, ๅฏนไบ ็้จๅ่ฏๅฎไนๆฏๅฏ็งฏ็; ๆดๅคง็ ๆฌกๆน, ๅฏนไบ ็้จๅ่ฏๅฎไนๆฏๅฏ็งฏ็;
Suppose . Let
let
ไบๆฏ for all , for all and .
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Homework 8: on spacecs (50/50)
Some of the following questions will be graded. Do them, and do hand them in.
ไธไธช Barely in ็ๅฝๆฐ
Find a function such that for any and any nonempty open subset . Hint: see HW5(g).
Recall Hw 5(g):For , define by for and otherwise. Let be an enumeration of the rational numbers, and define by
We have proved has the following properties:
is Lebesgue integrable and ;
Now we continuing this definition of , and further define:
Claim 1: .
To prove this, we just need this lemma.
If is -measurable, is -measurable, then is -measurable.
Particularly, if , , then and
It seems like we have not proved this yet so here letโs prove it.
of Lemma: Define
Note
from is a product of two coordinate maps, thus is measurable since coordinate map is measurable, and product of two measurable functions is measurable.
And
from is -measurable, since for any measurable rectangle , we have
Thus is -measurable, as a composition of two measurable functions.
To show the second statement, it suffices to assume takes positive real values, since otherwise we can decompose into their real and imaginary parts, and for each part decompose them into positive part minus negative part.
Take two seq of simple functions approximating respectively from below, say:
their product on is
By definition of the product measure , we have
Hence
Since and , we also have , thus by MCT we have:
and
Then, since the right side are two finite positive reals, we have:
Thus
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After proving the Lemma, we can extend it to the product of any finite number of functions. Applying it, we get
Then, we take arbitrary open set and arbitrary , and fix it.
Claim 2: . Sine is open in , it must contain an open ball, thus must contain an open box (e.g., the one internally connected in the open ball), say .
Suppose for contradiction that .
Then by monotonicity of integration:
Then by Fubiniโs Thm we have:
Since for each , we in hw 5 proved that:
This contradicts with what we got. Thus we must have .
This finishes the proof.
norm version of LDT
Let . Suppose that . Prove that
for a.e. .
(Hint: Follow the proof of the Lebegue Differentiation Theorem when , i.e. approximate by satisfying . At some point, use Minkowskiโs inequality; note that we have , but we donโt have for .)
Claim 1: The statement is true for .
Proof of Claim 1:Let , then it is uniformly continuous on any compact set, thus uniformly continuous on an open ball, since its closure is compact.
Therefore, let , then there exists such that
Thus
Now fix , and take . Then,
Since this holds for all , we get:
Since was arbitrary, this proves claim 1:
Next we will prove the general case.
Step 1: Translate the problem into proving the measure of disqualified points is zero, for which we can use arbitrary error bound.
Define for each :
And then we define for each :
Then what we want to show is just:
which is equivalent to show:
Fix . It suffices to show: for any , we have:
Now fix . Take s.t. . This can be done, by the density of in .
Step 2: Bound the by -controllable expressions, using Minkowskiโs ineq; thus bound the measure of disqualified points by two -controllable sets
Define for each :
This is nonnegative. And since is measurable and (since is ), is , and thus, recall we proved in lecture that is jointly continuous in and .
By triangular ineq
Then by Minkowskiโs ineq:
Thus
Since we already proved the middle one of the three norms is zero, as continuous funciton with cpt supp.
Step 2: Reduce the statement to For simplication of notation, we also define for each :
By the ineq we obtained, we have:
Since if we have both and , we cannot have .
Thus
Step 3: Bound using HL max Thm.
Note
And we can express it as HL max function of
We want
And by HL max Thm:
Step 4: Bound using Markovโs ineq.
Notice that is independent with :
Thus
Therefore by Markovโs ineq:
Put it all together we have:
Since is arbitrary, we finally proved that
finishing the proof.
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generalization of Hรถlder: bootstrapped Hรถlder
Prove the following generalization of Hรถlderโs inequality. Let and be such that
then
We prove by induction, applying Hรถlderโs inequality each time.
base case: If then the result is Hรถlderโs inequality, as proved.
Inductive step: Suppose the inequality holds for all such that the equality holds, then we assume there are positive reals and some s.t.
WTS the ineq also hold.
We set:
Then we have
By the induction hypothesis applying to the functions , we have
Now we define:
Applying the classical Hรถlder inequality with conjugate exponents and , we have:
Putting it all together, we obtain:
This completes the inductive step, and thus the proof of the generalized Hรถlder inequality.
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Translated a function by : in (), but not in
For any measurable function , set
Suppose that is continuous with compact support. Prove that .
Suppose that for some . Prove that .
Prove by example thatย (ii) is false for .
of (a):
Suppose is continuous with compact support , then it is uniformly continuous.
Let and fix it. By uniform continuity, there exists such that
For given , we have:
Then for : for any , . Thus by uniform continuity, must have . Thus we got:
Since is arbitrary, this proves that
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of (b):
Since is dense in for , we can take a seq of continuous functions with compact support, say , s.t. in .
Then for each , we can define
From (a) we have, for each :
Note that since each have compact whose measure is finite, we have:
Thus,
Also, by translation invariance of Lebesgue measure, for each we have:
Therefore for each , we can bound
The construction of bound has finished. Now Let and fix it. We first choose large enough so that
and for the fixed , we choose s.t. for all we have
Then we have:
Since is arbitrary, this proves that
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of (c):
We consider
We have
and the sup is taken on .
Then for any , we have: We have
Thus for all , on the open set which has positive measure, we have ;
For all , on the open set which has positive measure, we have ; Thus the function with respect to actually has a jump discontinuity at , since it is at and elsewhere.
This serves as an counterexample that we do not necessarily have .
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Criterion for -convergence: a.e. conv ็งฏๅๅผ conv
Suppose that and that for some measure space . Prove that if a.e. and , then . Is the converse true? Hint: revisit the โGeneralized DCTโ problem on HW5.
Recall we have proved
Let be a measure space, and , . Suppose that
and for a.e. ;
a.e. for every ;
and .
Then we have:
which is the case . Now we prove the general case with the help of the case . We notice that in , is just to prove the function in , thatโs how we can use the generalized DCT.
Assume the hypothesis. Since is convex for , we have for any :
Thus
Therefore for each and almost every , we have:
Hence
We define for each :
Since a.e., we have a.e. Thus
Note that
Since we have
Now we have (1) , (2) , and (3) is an upper bound for . Then we can apply generalized DCT to the function seq :
Thus
This finishes the proof that in .
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The converse does not hold.
We recall the typewriter function on :
We index over , and for each we index over to . That is, for given , is the indicator function of the -th dyadic interval.
Then
Therefore, since each has support of shrinking length, we get:
but for each , for infinitely many . so does not converge to 0 for any .
Nur fรผr Verrรผckte
(Itโs really not necessary to attempt these problems. Do not, under any circumstances, hand them in!)
Prove that the category of measurable spaces (see HW1) admits finite products, and that the product of and equals .
Now consider the category of measure spaces (see HW2). Consider two measure spaces , , and set , , and .
Prove that the projection maps are measurable, and that they are measure preserving iff for . Thus is not the categorical product of in general.
Prove that even if , the measure space is not the categorical product of in general. Hint: consider the case when the consist of two elements, for example .
10 signed measure and Jordan decomposition
10.1 signed measure [Fol 3.1]
10.1.1 remainder: ๅฝๅ Folland ่ฟๅบฆ
ๆไปฌ็ฎๅ finish ไบ Folland ็ Ch1, Ch2, 6.1 ็ๅ
จ้จ, 3.4 ็ๅคง้จๅ,
ๅ
ถๅฎๅจ่ฟไธช lec ๅ่ฟๆไธไธช lec ่ฎฒไบ Folland 5.1, 6.2 ็ไธ้จๅ, ๅจ่ฟ้ๆๅปๆไบ่ฟไธช lec, ๆๅฎๆพๅจไบ 3.1-3.3 ็ปๆไนๅ. ่ฟๆฏๅ ไธบ็ฑไบ็ฎๅๆฒกๆ่ฏๆ Radon-Nikodym Thm, ๆฒกๆ่ถณๅค็ๅทฅๅ
ทๅปๅฎๆ
็่ฏๆ (ๅทฎไบไธไธช proof surjectivity of the isometry ). ไธๆธ
ๆฅ่ๅธไธบไปไน่ฆๆๅฎๆพๅจ่ฟ้่ฎฒ.
็ฐๅจๆไปฌๅฐๅๅฐ Ch3 ็ signed measure and differentiation between measures ็ theory, ๅจๆฅไธๆฅ็ a few lectures ไธญ finish ๆ Ch3.
ๅจ finish ๆ Ch3 ๅ, ๆไปฌๅฐๆๆก่ถณๅค็็ฅ่ฏ็ปง็ปญๆจ่ฟ space ็็่ฎบ, ไป่ finish ๅฎ 6.2, ็ถๅๅฎๆ 6.3, 6.4 ็ไธ้จๅ, ไปฅๅ a bit Hilbert space theory ๅ Fourier Analysis.
What will not be covered: Ch4 on point set topology (assume we have learned part of it, and the rest is not needed to be learned systematically) ไปฅๅๅฉไฝ็ๆณๅฝๅๆๅ
ๅฎน (should be covered in functional analysis course next semester).
10.1.2 signed measure
Motivation: ๆไปฌ้ฝ็ฅ้, ๅฏนไบ nonnegative measurable ๅณ ,
้่ฟ integration of the function with respect to some measure ๅฎไนๅบไบๅฆไธไธช measure .
But what about ?
ไธไธช signed measure on a measurable space ๆฏไธไธช function ๆ่
, ๅๆฎ้ meausre ไธๆ ทๆปก่ถณ ไปฅๅ ctbl disjoint additivity.
Note: signed measure ๅช admit ๅ ไธญ็ไธไธชๅผ (ไธๅฏไปฅๅๆถๅญๅจไธคไธช้ๅ , )
ๅฎนๆ้ช่ฏ:
ๅฏนไบ positive measure , ๅฆๆๅ ถไธญๆ่ณๅฐไธไธชๆฏ finite ็, ้ฃไน
ๆฏไธไธช signed measure.
This follows from ctbl disjoint additivity. (ไธคไธช ctbl sum ๅ ่ตทๆฅ)
ๅฏนไบ measurable function , ๅฆๆ ๅ ไธญ่ณๅฐๆไธไธชๆฏ ็ (่ฟไธชๆกไปถๅผฑไบ , ่ขซ็งฐไธบ is extended -integrable), ้ฃไน
ๅฐฑๆฏไธไธช well-defined ็ signed measure.
This follows from that (1) ๅฏนไบ , ๅฎไนไบไธไธช measure; (2) ไธไธไธช proposition.
10.1.3 signed measure ็ CFB, CFA
็ปๅฎ signed measure , ๅฏนไบ increasing seq , ๆ
ๅฏนไบ decreasing seq , ๆ:
ๅ positive measure ็ CFB, CFA ไธ่ด.
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10.1.4 positive / negative / null set
Elementary fact: ๅฏนไบ signed measure ่่จ,
ไฝๆฏ
ๅฏนไบ signed measure , ๅ measurable ,
ไปฅๅๅ็
่ฟๆฏๅ ไธบ
็ฑไบๆไปฌๅฏนไบ signed measure, ๅชๅ ่ฎธ , ไธญ็ไธ็งๆ ๅต, ๅ ่ไธ่ฎบ ็ measure ไนๅๅๆ ็ฉทๆ่ ๆ็ฉท, ้ฝ่ฝๅคๆจๅบ ็ measure ไนๅๅๆ ็ฉท.
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็ปๅฎ signed measure , ๅฏนไบ , ๆไปฌ็งฐ ๆฏไธไธช postive set, ๅฆๆๅฏนไบๅฏนไบไปปๆ็ , ้ฝๆ
negative set ๅ null set ๅ็.
Note: For signed measure, ไธไธช้ๅ็ signed measure ไธบ ๅนถไธไปฃ่กจๅฎ็ไปปไฝๅญ้็ measure ไนๆฏ , ๅฎๅฏไปฅๆฏไธคไธชๆญฃ่ด measure ็ธๆต็้ๅ็ union. ๅ ่ๆไปฌ่ฆ่ฟๆ ท้ขๅคๅฎไน null set.
measurable subset of a measurable set preserves the sign of .
ๅณ: ๆฏไธไธช positive / null / negative ไปปๆ ๆฏไธไธช positive / null / negative.
By def, ๅฏไปฅ by contradiction ๅพๅฐ.
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ๅฆๆ ๆฏไธไธช positive set for signed measure , ้ฃไน
้่ฟไธไธไธช lemma, ็ไปปไฝๅญ้ไนๆ่ฟไธชๆง่ดจ. ๅ ่ ๅฑ้จๆฏไธไธชๆฎ้็ measure space.
ๅ็, ๅฆๆ ๆฏไธไธช negative set, ้ฃไน
ๅ ่ ๅฑ้จไน็ญไปทไบๆฏไธไธชๆฎ้็ measure space, ๅชไธ่ฟๆๆ้ๅ็ measure ๅ ไธไบไธไธช่ดๅท.
Countable union of positive / negative / null sets ไป็ถๆฏ positive / negative / null sets.
Follows from Def. ไปปไฝไธไธช ็ๅญ้้ฝๅฏๅ่งฃๆ่ฟไธช ไธญ็ๆไบ้ๅ็ๅญ้็ at most ctbl disjoint union, whose measure add up to remain positive / negative / null measure.
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Question: ็ปๅฎ signed measure , ๅฎๆฏๅฆไธๅฎ่ฝ่ขซ decompose into ไธคไธช positive measure ็ difference?
Turns out that: there exists a canonical way to do this. ่ฟไธชๅ่งฃๅญๅจไธๆฏๅฏไธ็, ๅนถไธๆญฃ็้จๅๅ่ด็้จๅๆฏไธ็ธไบค็ (ไธๅญๅจไธไธช้ๅๆขๆ้ ็ positive measure ๅๆ้ ็ negative measure). ๆไปฌ็งฐ่ฟไธช signed measure decomposition ไธบ Jordan decomposition.
ๆไปฌไธ่่ฏพไผ่ฏๆ Jordan decomposition. ่ฟ่่ฏพๆไปฌๅ
่ฏๆไธไธชๅพๅฐ Jordan decomposition ็ๅ
ณ้ฎๆญฅ้ชค: Hahn Decomposition.
Hahn Decomposition Theorem ่กจ็คบ: ไปปๆไธไธช signed measure ้ฝๆๆดไธช็ฉบ้ด ๅๅไธบไธคไธช a.e. ไธ็ธไบค็ positive set ๅ negative set .
่ฟไธช็ปๆๆฏ้ๅธธๆ็จ็. ๅ ไธบๆไปฌ็ฅ้, ๅจไธไธช positive / negative / null set ๅ
้จ, ๆไปฌๅฏไปฅๆๅฎ็ไฝๆไธไธชๆฎ้็ measure space. ๅ ่, Hahn Decomposition Theorem ่ฏดๆไบไปปๆไธไธช signed measure ้ฝๆๆดไธช็ฉบ้ด ๅๅๆไธคไธชๆฎ้็ measure space, ๅ
ถไธญไธไธช็็ฌฆๅทๅ measure ่ฟ็ฎ้ข ๅไธบ่ด. ่ฟๅฐฑๅบๆฌ state ไบ Jordan decomposition ็ๅ
ๅฎน.
10.1.5 Hahn Decomposition
ๅฏนไบไปปๆ measurable space ไธ็ไปปๆ signed measure , ้ฝๅญๅจไธไธช positive set ๅไธไธช negative set s.t.
ๅนถไธ
ๅณ ่ขซ ๅๅไธบไธไธช positive measure space ๅไธไธช negative measure space.
ๅนถไธ, ่ฟไธช decomposition ๆฏๅฏไธ็, in -a.e. sense: ๅณ, ๅฆๆ ๆฏ another pair of such decomposition, ๅฟ
็ถๆ:
Uniqueness ๆฏ just be definition ็, ๅ ไธบ้คไบ ๅ
้จ็ null sets ๅฏไปฅ้ๆไบค็ปๅฏนๆนไนๅค, ๅ
ถไปๅญ้้ฝๆฏไธฅๆ ผ็ positive set ๅ negative set, ไธๅฏ่ฝๆ็ฌฌไบไธช decomposition. ๅ ่ STS existence.
WLOG ่่ ไธ admit (่ณๅค admit ). This makes sense ๅ ไธบ otherwise we can consider .
Set:
Pick seq of positive sets in s.t.
(่ฟๆฏ doable ็ๅ ไธบๅจ positive sets ็้จๅ็ญไบไธไธชๆญฃๅธธ็ measure space, ๅนถไธ่ฟ้ finite measure.) ๅนถ set
ไป่ ไนๆฏ positive ็ๅนถไธ
Set:
ๅช่ฆ show ๆฏไธไธช negative set, ๅฐฑๅพ่ฏไบ.
ๆไปฌ argue by contradiction.
ๅ่ฎพ ไธๆฏ negative set, ้ฃไนๅญๅจ s.t. .
Pick the smallest number ไฝฟๅพๅญๅจ s.t.
Note ไธๅฏ่ฝๆฏ positive set, ๅฆๅ ๅฐๆฏไธไธช positive set ๅนถไธ , contradicting with being the sup of measure among positive sets.
ๅ ่ ไธญ, ๅฟ
้กปๅญๅจ negative measure ็ set. ๆไปฌๅ pick , the smallest number ไฝฟๅพๅญๅจ s.t.
ๅณ:
ๅนถ Set
ไป่:
ๆไปฌ recursively ๅ่ฟไปถไบ, ๅพๅฐ positive measure ็ seq s.t.
notice: ่ฟไธช seq ็ measure ๆฏ้ๅข็. ๆไปฌๅ
ไบๆฏ
ๅ ไธบ ๆ positive measure, ่ฟไธช measure ไธๅฎๆ้, ไป่่ฟไธช series ๆถๆ, ๅ ่ๆ:
ๅไนๅๅ็, ไธ่ฝๆฏ positive set, ๆไปฅๅญๅจ ไฝฟๅพ .
Set
ไบๆฏ
็ฑไบ , for some ๆ . ๆไปฌๅ่ฟไธช ๅนถ fix it. ็ฑไบ ๆฏไปปไฝ ้ฝๅคง, ๅฏไปฅๅพๅฐ
่ฟ่ฏดๆ, ๆฏไป ไธญๅปๆไบไธไธช่ณๅฐๆ ็่ดๆตๅบฆ็้ๅๅพๅฐ็.
ไฝๆฏ, recall how we picked : ๆฏ the smallest number ไฝฟๅพๅญๅจ s.t. , ๅ่ฟ้ ็็พ. ไป่ๅพ่ฏ.
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10.2 Jordan decomposition [Fol 3.1, finished]
ๅฏนไบไปปๆ็ signed measure , ๆไปฌๅทฒ็ป้่ฟ Hahn-Decomposition ่ฏๆไบๅฎไธๅฎๆ้ๅๅไธบไธไธช positive set ๅไธไธช negative set , ๅนถไธ unique in -a.e. sense.
Consider mble space , ่่็ฑ
ๅ countable subadditivity ็ๆ็ signed measure. ไป่:
ไนๅฏไปฅๆ ๅๅ่ฟ , ๅ ไธบ ๆฏ่ฟ้ๅฏไธ็ null set.
10.2.1 mutually singular s.m.
ๆไปฌ็งฐไธคไธช signed measure on ๆฏ mutually singular ็, ๅฆๆ , ๅ
ถไธญ ๆฏ ็ null set.
็ฎๅ่่จๅฐฑๆฏ: ่ฟไธคไธช measure ๅฏไปฅๆ
live on disjoint sets, ๅจๅฏนๆน live on ็้จๅๆปๆฏ null ็.
1. ๆๆๆ measurable set map to ็ trivial measure ๅไปปๆ s.m. ้ฝ mutually singular.
2. ๅๆฏๅฆ:
ๆไปฌ้ๆฉ Lebesgue measure as , discrete measure as , Cantor measure as .
ๆไปฌๅ็ฐ: ่ฟไธไธช measure ไธญ็ไปปๆไธคไธช้ฝๆฏ mutually singular ็.
ๅ ไธบ discrete measure ๆฏๆ็้ๅ ๆฏ countable ็, ; ่ๅฏนไบ , ่ฟไธช้ๅๆฏ discrete measure ็ null set, ๅ ไธบๅฎๅนถไธๅ
ๅซๆๅฎ็ seq ไธญ็ไปปไฝๅ
็ด , showing that
ๅ็, recall Cantor set ็ Lebesgue meausre ไธบ , ไป่ๅฏไปฅ็จ ๅ ็ๅๅฒๆฅ่ฏดๆ
ๅนถไธๅ็, ็ฑไบ Cantor measure ๆฒกๆ atom, ๅณๅ ถไธญไปปไฝไธไธชๅ็น้็ Cantor measure ้ฝๆฏ , ไป่ไป็ถๅฏไปฅ้็จ ๅ ็ๅๅฒๆฅ่ฏดๆ:
10.2.2 Jordan Decomposition Thm
็ฐๅจ, ๆไปฌๅฏนไบ set
ไปฅๅ
ๅฏนไบ s.m. , ๆไปฌ้่ฟ Hahn Decomposition ๅพๅฐ .
Now let
Then:
ๆฏ ไธ็ positive measure
ไธญ่ณๅฐๆไธไธชๆฏ finite measure (ๅฏนๅบไบ admit ็ๆฏ ่ฟๆฏ )
1. ๆพ็ถ, ้ฝๆฏ positive ๅฝๆฐ, ๅนถไธ็ฑไบ
(ๅ็ for intersecting ), ๅฎไปฌๆปก่ถณ countable disjoint additivity, ๅ ่ๆฏ ไธ็ positive measure.
2. By signed measure ็ๅฎไน, ๅ ๅฟ
้กปๆไธไธช finite. ๅ ่ otherwise, ๅฆๆๅญๅจๆไธช้ๅไธ่ฟไธคไธช measure ้ฝ infinite measure ๅ not well-defined (contracting well-definedness of ); ๅฆๆไธๅญๅจ่ฟๆ ท็้ๅๅ admit both and (contradicting that ๅช admit ่ณๅคไธไธชๆ ็ฉท).
ย
3.
ๆฏ็ดๆฅ by Hahn Decomposition ็. ๅ ไธบไปปไฝไธไธช measurable set ้ฝๅฏไปฅๆๅๆ
4. Directly follows from Hahn Decomposition.
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ไธ้ขๆไปฌ่ฏๆ Jordan decomposition:
ๅฏนไบไปปๆ s.m. on , ้ฝๅญๅจๅฏไธ็ positive measure , s.t.
ๆฏ ไธ็ positive measure
ไธญ่ณๅฐๆไธไธชๆฏ finite measure (ๅฏนๅบไบ admit ็ๆฏ ่ฟๆฏ )
Existence ๅฐฑๆฏๅไธไธช lemma ไธๆจกไธๆ ท. ๆไปฌ็ฅ้, Jordan decomposition ็ๆตๅบฆๅๅฒๆฅ่ชไบ Hahn decomposition ็ๅ
จ้ๅๅฒ.
STS Uniqueness:
ๆไปฌไปค ไธบ้่ฟ Hahn Decomposition ๅพๅฐ็ Jordan decomposition, ๅ
ถไธญ ๅๅซ supported on ๅ .
Suppose ๆฏๅฆไธไธช decomposition s.t. . ไบๆฏๅญๅจ s.t.
ๆไปฌๅ็ฐ: ๆฏๅฆไธไธช Hahn Decomposition of . ๅ ่
ไป่ๅฏนไบไปปๆ ,
ๅ ่
ไปฅๅๅ็, . ๅพ่ฏ.
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10.2.3 total variation measure
Totcal variation measure ๅๅ s.m. ็ๅ ณ็ณป, ๅฏไปฅ็ฑปๆฏไธไธชๅฝๆฐ็็ปๅฏนๅผๅฝๆฐๅๅฎ่ช่บซ็ๅ ณ็ณป, ๅ ไธบ
ไฝๆฏ่ฟ้, ่ฟไธช ็ฌฆๅทๅ็ปๅฏนๅผ็ ็ฌฆๅท็ๆไนๅนถไธไธ่ด: ่ฟไธช ๅนถไธๆฏ ็็ปๅฏนๅผๅฝๆฐ. ๅจ positive, negative, null sets ไธ, ็กฎๅฎๆฏ ็็ปๅฏนๅผๅฝๆฐ, ไฝๆฏๅจๅ ้จๆขๆ positive measure ็้จๅ, ๅๆ negative measure ็้จๅ็้ๅ, ๅฎ็ total variation measure ๆฏ่ฆๆฏๅฎ็ๅ s.m. ็็ปๅฏนๅผๆดๅคง็. ๅ ่ๅฎๆ่ขซๅซๅๅ s.m. ็ total variation measure, ่กจ็คบๆไธช้ๅๅ ้จ, ๅ s.m. ไปๆญฃๅฐ่ด็ๆๅคงๅๅทฎ.
ๆฏ ไธ็ positive measure.
ๅนถไธ finite iff ๅ ้ฝ finite.
(Then we define: ๆไปฌ็งฐ ๆฏ finite ็, if finite p.m.)
trivial.
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10.2.4 integration w.r.t. s.m.
ๅฏนไบ signed measure , ๆไปฌ set:
ไธๅฏนไบๆฏไธช , ๆไปฌ set:
ๆไปฌ็ฅ้, ๅฏนไบไปปๆ p.m. on ไปฅๅ ,
ๅฎไนไบ ไธ็ไธไธช s.m.
่้่ฟ็งฏๅๅฎไนๅบๆฅ็ s.m., ๅฏนไบไปปๆไธไธช , ๆ:
ไป่
่ฟๆฏๅ ไธบๆไปฌๅฎนๆ้ช่ฏ, by the procedure of Hahn decomp,
ๅ ่
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We will learn that: ่ฟไธช ๆญฃๆฏ w.r.t. ็ Radon-Nikodym derivative, ไป่ ่กจ็คบๅจๆไธชๅ ็ด ๅค, ็ธๅฏนไบ ็ๅๅ่ถๅฟ. ่ total variation measure of ๆญฃๆฏๆๆๆ็ๅ ็ด ไธ็่ฟไธชๅๅ่ถๅฟ้ฝๅๆญฃ (ๅณๅๆปๅๅ้, ไธ็ฎกๆนๅ) ๅพๅฐ็.
ไปค be a s.m. on , , ๅ
ๅฆๆ ๆฏ ไธ็ๅฆไธไธช s.m., ๅ
By def ๆๅพ.
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่ฟไธค่่ฏพ็ๆป็ป
ๆไปฌๅฎไนไบ signed measure;
ๆไปฌๅ็ฐไธไธช signed measure ๅฆๆไธ่ฎก่พ null sets, ไธๅฎๅฏไปฅๅฏไธๅฐ่ขซๅ่งฃๆไธไธชๅ จ positive set ๅไธไธชๅ จ negative set;
ๅนถไธ้่ฟ่ฟไธชๅฏน ็ไบๅ, ๆไปฌไนๅพๅฐไบๅฏนๅ s.m. ็ไบๅ , ่ฟไธชๅ่งฃไนๆฏๅฏไธ็
ๆไปฌๅฎไนไบ total varation measure of a s.m., .
ๆไปฌๅฎไนไบไปไนๆ ท็ๅฝๆฐๅฏนไบไธไธช s.m. ๆฏๅฏ็งฏ็: ๅฏนไบ , ้ฝๅฏ็งฏๅณๅฏ. ไป่ general ็็งฏๅ:
่ฟไธไธชๅผๅญ้ๅ ๅซไบๅ ซไธชๅฐ็งฏๅ. ๆไปฌ็ฎๅๅญฆๅฐ็ๅฐฑๆฏ่ฟไนๅค. ๅฆๆๅผๅ ฅ complex measure ็่ฏ,
Homework 9: on signed measure (50/50)
Three real Banach spaces and a fake one
Let
Prove that , where , is a Banach space.
Let
Prove that , where , is a Banach space.
Let
Prove that , where , is a Banach space.
Recall that
Show that , where , is not a Banach space.
of (a): Since we showed in class that
and spaces are Banach, is Banach.
Thus it suffices to show that is closed in , since a closed subset of a complete metric space is complete.
Let be a sequence in converging in norm to , i.e.,
Let .
Since , there exists such that for all ,
This implies that
Since , as . Thus there exists s.t. for all ,
Then for all , we have:
This shows that
Since is arbitrary, this implies
Hence . So is closed in , thus itself Banach.
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of (b): Let be a Cauchy seq in , then
In particular, for each fixed , is a Cauchy sequence in , hence converges (since is complete). So we can define the pointwise limit:
Claim 1: in .
Let .
Since is Cauchy in , there exists such that:
Fix , and let . For each , we get:
Since this is true for each , we obtain:
Since is arbitrary, this shows that
Claim 2: .
Since , it also implies that the convergence is uniform.
We know the uniform limit of continuous functions is continuous, so is continuous. It remains to show is bounded, and this directly follows from the uniform convergence. We take . We have proved that there exists s.t. for all ,
Thus
Since ), it is bounded, thus
showing that the limit function is bounded. This finishes the proof that . Thus, every Cauchy seq in converges in , i.e. it is Banach.
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of (c): Let be a Cauchy seq in , then for each fixed , is a Cauchy sequence in , so for the same reason as (b), we can define the pointwise limit:
And for the same reason as (b), we get
which also implies that the pointwise convergence is uniform. Since each is continuous, the uniform limit is continuous.
Thus it suffices to show that .
Let . Since uniformly, there exists such that for all , . Also, since , there exists such that for all .
Then for ,
So , i.e., . Thus, every Cauchy seq in converges in , i.e. it is Banach.
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of (d): We consider a continuous (smooth actually) function with (here we take the closure):
This function reaches its maximum at ,
For each integer , define
Then each is also continuous, and .
Consider the sequence , defined as:
Then each , since finite sum of continuous functions is also continuous, and , thus each .
Claim: is Cauchy in the sup norm.
This is because for each (WLOG) ,
Thus for arbitrary , exists s.t. for all , . And by same reason as (b), (c), converges by into its pointwise limit:
But does not have compact support, . So . This serves as a counterexample showing that is not Banach.
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็formula from original
Let be a signed measure on , and . Prove the following statements:
, and ;
;
. In the case finite, it achieves equality iff is positive or negative for .
of (i): By the Hahn decomposition theorem, we can take a Hahn decomposition where
Fix . By Jordan decomposition we have
Fix , we have:
Since , we have:
Since is arbitrary, this shows:
On the other hand, taking , we get
Hence
Combining both inequalities gives
Similarly, since and , we have . And Since with , we get .
Putting it together:
Since is arbitrary, this shows:
On the other hand, taking , we get
Hence
Combining both inequalities gives
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of (ii): Let . By def of total variation measure,
One direction of the equality is easy. Take a Hahn decomposition where
Then by Jordan decomposition, we have:
So by taking , , we have:
This shows that
And for the other direction, for any disjoint measurable partition , we have
Therefore
since is a p.m. and the โs are disjoint. Thus
Combining the two inequalities gives
proving the statement.
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of (iii): Let . The ineq follows from triangular ineq on :
Now we assume is finite (i.e.ย ). The equality condition is detailedly:
Since , and .
Case 1: , then
Case 2: , then
Therefore the equality condition implies that must be positive or negative for ; and in converse, if is neither positive nor negative set, in either case it implies , thus when finite, iff is positive or negative for .
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Signed integrals
Let be a signed measure on .
Prove that for or .
Define . Prove that .
Define for . Prove that if , then
Suppose that is a finite measure (i.e. .) Prove that if , then
of (i): Take a Hahn decomposition .
Then by Jordan decomposition,
and therefore is null set of and is null set of . So on , ; on , Thus, suppose ,
Suppose , then
This finishes the proof.
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of (ii): WTS: .
(): Suppose , i.e. .
Let be arbitrary positive-valued simple function:
then
Since for each , we have
Since is arbitrary, we have
Same for . This shows that
i.e. and , so .
Thus
(): Suppose , i.e.
Since is non-negative and measurable, we have . Thus by (i) we have:
So .
This shows that:
Combining both direction, we finished the proof that:
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of (iii): Suppose , then
Therefore,
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of (iv): Suppose that is a finite measure (i.e. ), let .
We denote:
First we show :
For any bounded measurable with ,
So by taking the supremum over such , we get:
Next we will show :
We take a Hahn decomposition, getting where
Then
Now define:
Then is measurable since are measurable. And since Compute:
Thus
Combining both inequalities, we get:
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finite signed measures on ๆฏไธไธช NVM
Let be a measurable space.
Let , be finite positive measures on . Let . Prove that
for every .
Let and be finite signed measures on (i.e. for all ). Show that
for every .
Let be the collection of finite signed measure on . For , define
Prove that is a norm on with an appropriate definition of the sum of two signed measures and the multiplication of a signed measure by a (real) scalar.
Suppose . Compute for .
Remark: the norm on is called the the total variation norm.
of (a):
Recall in problem 2 we get:
Claim 1: .
Let , . Then:
since and is positive. Taking the sup over all such , we get
Claim 2: .
Similarly as Claim 1, for any , since and are p.m., we have
Taking the inf over , we get
Claim 3: .
This is just combining the two ineqs:
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of (b):
Let . WTS: .
Recall in problem 2 we showed that for a signed measure and a measurable set , we have:
Let be any finite measurable partition of . Then for each :
Summing over the partition, we have:
Now take the supremum over all such partitions of :
Since measurable is arbitrary, this finishes the proof.
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of (c):
and for , we define:
WTS: is a norm on .
Positive Definiteness:
Let . Since is a positive measure, .
Since is a positive measure, .
Suppose , then is a -null set, so for all . Thus .
And suppose , then also, so .
Thus, iff . This finishes the proof of positive definiteness.Absolute Homogeneity:
Since for any measurable set :We have:
finishing the proof of absolute homogeneity.
Triangle Inequality:
Recall we just proved in (b) that for any measurable :Thus
finishing the proof of triangle inequality.
So we can conclude that , with the standard definitions of addition and scalar multiplication of signed measures.
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of (d)
Suppose . Compute for .
Recall def: For any Borel set ,
So we define the signed measure as:
If , then , then , so . This is the trivial case. if : We first compute the Jordan decomposition.
We know that , and . For any , we have
In other cases, we have:
For any , we have
In other cases, we have:
And we thus discover that:
So
Thus we can conclude that
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and more: finite signed measures on ็ปๆไธไธช real Banach space
Prove that the normed vector space in the previous problem is in fact a Banach space.
In problem 4 we have shown that on is a normed vector space, where
and
Now we prove that the NVM is complete, i.e. it is a Banach space.
Let be a Cauchy sequence in . We have
In particular, is a Cauchy sequence for all . For each , this is a Cauchy seq in , thus converges. So we can get:
as the pointwise limit (by a point we mean a set).
Claim 1: .
Since for all , , we have:
For a countable disjoint union of measurable sets ,
is the limit of a finite sum of numerical sequences in . So we can exchange the order of taking limit and sum. Then we get:
And notice, for each measurable set , since is a Cauchy sequence in , it is bounded, thus does not admit values. verifying that is a valid signed measure.
Also, this means that taking Hahn Decomposition by , we have
Since are bounded, we have: Thus
This verifies that is a finite s.m.
Claim 2: in . Fix . There exists such that for all . Thus for all we have:
Notice that
and
It follows that
Similarly,
Thus
This holds for all . And since is arbitrary, this proves that
As a result, in , completeing the proof.
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Nur fรผr Verrรผckte
(Itโs really not necessary to attempt these problems. Do not, under any circumstances, hand them in!) Does there exist a signed Borel measure on with the property that for every there exists a Borel set with .
11 Radon-Nikodym theorem
11.1 Radon-Nikodym Theorem [Fol 3.2]
ไปฅไธๆฏไธคไธช instructive ็ questions:
Question 1: Given ไธไธช s.m. on
on , ๆไปฌๅฏๅฆไป ไธญ recover ๅ ถไธญไธไธช measure, without ๅฆๅคไธคไธช measure?
Question 2: ็ปๅฎไธไธชไปปๆ็ p.m. , ไปฅๅไธไธชไปปๆ็ s.m. on ,
ๅฆไฝๅคๆญๆฏๅฆๅญๅจไธไธช , ไฝฟๅพ
ไปฅๅ, ๅฆๆๅญๅจ, ๅฆไฝๆพๅฐ่ฟๆ ท็ไธไธช ?
11.1.1 absolutely continuous:
็ปๅฎ p.m. ๅ signed measure on , ๆไปฌ็งฐ is absolutely continuous w.r.t. , ๅฆๆ
ๅณ: ็ null sets ๅ
ๅซไบ ็ๆๆ null sets. ( ๆฅๆๆฏ ไธฅๆ ผๆดๅค็ null sets)
ๅไฝ
mutually singular ็่ฎฐๅท ่กจ็คบ็ๆฏ ๅ ๅบ็ฐๅๅ็ๅบๅๅฎๅ จไธๅ, ่ ่กจ็คบ็ๆฏ ๅบ็ฐๅๅ็ๅบๅๅฎๅ จๅ ๆฌๅจ ๅบ็ฐๅๅ็ๅบๅ้ (ๅ ไธบ ไธๅๅ็ๅบๅ่ขซๅ ๆฌๅจ ไธๅๅ็ๅบๅ้).
, , ็ฑ็งฏๅๅฎไนๅบ็ s.m., ๆปๆฏๆปก่ถณ
่ฟไธไธช measure ๆ
ๅฎไปฌๆฏ mutually singular ็. ๅฏนไบๅ
ถไธญไปปๆไธคไธช , ๆฌ่บซๅทฒ็ปๅญๅจไธไธชๅๅไฝฟๅพ ๅจ ไธๆฏ null ็่ ๅจ ไธๆฏ null ็. ้ฃไนๅฆๆ , ๅ่ฏดๆ ๅจ ไธไนๆฏ null ็, ้ฃไน ๅจๆดไธช ไธ้ฝๆฏ null ็, ่ฏดๆ ๆฏไธไธช trivial measure.
ๆพ็ถ, ่ฟ้ไธไธช measure ้ฝไธๆฏ trivial measure, ๅ ่ๅฎไปฌไน้ดๆฒกๆ abs ctn ็ๅ
ณ็ณป.
(ๅฎนๆ่ฏๆ)
(ๅๆๅทฒ็ป่ฏๆ)
ๆไปฌๅฏไปฅๆ absolutely ctn ็ๆฆๅฟตไปไธไธช s.m. wrt ไธไธช p.m. ๆฉๅฑๅฐไธไธช s.m. wrt ไธไธช s.m., by taking ๅ้ข่ฟไธช s.m. ็ total variation measure:
ไฝๆฏ Folland ่กจ็คบๆไปฌไนๅๅนถไธ้่ฆ็จๅฐ่ฟไธชๆด general ็ๅฎไน. ๆไปฅไธ็จๅจๆๅฎ.
11.1.2 ็็ญไปทๆกไปถ
question: ไธบไปไน่ฟไธชๅฎไน่ฆๅซๅ absolutely continuous, ๅฎๅ continuous ่ฟไธช่ฏๅฐๅบๆไปไนๅ ณ็ณป. ไธ้ข่ฟไธช theorem ่ฏดๆไบ่ฟไธ็น.
ไปค ไธบไธไธช finite s.m., ไธบไธไธช p.m. on .
Claim:
(i) to (ii): ๆไปฌไฝฟ็จๅ่ฏ, ๅฉ็จ limsup.
Assume (i), ๅนถ suppose for contradiction that (ii) ไธๆ็ซ.
้ฃไนๅญๅจ s.t. ๅฏนไบไปปๆ , ้ฝๅญๅจไธไธช seq s.t. , for each .
Set
ๆไปฌๆ ่ฎฐๅ้ข็ๆฏไธช้ๅไธบ:
ไบๆฏ
ไป่ๅพๅฐ,
่็ฑไบ for each , we have
่ฟไธ contradict. ไป่ๅพ่ฏ: - argument.
่ - argument ๆฏ trivial ็.
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11.1.3 RN derivative and RN Thm
11.1.4 RN derivative: (if exist) express how can be induced from
ๅฏนไบ on , ๅฆๆๅญๅจไธไธช -measurable , ไฝฟๅพ ไธบ the signed measure induced by and :
ๅ็งฐ is the Radon-Nikodym Derivative of w.r.t. . ๅไฝ
ๆ่
Radon-Nikodym derivative ๅป็ป็ๆฏๅจๆฏไธ็น ไธ, signed ๆตๅบฆ ็ธๅฏนไบๆตๅบฆ ็ๅๅ้็.
We sometimes call the signed measure .
ๅ LS measure on , with .
้ฃไน:
ๆไปฌๅฏไปฅ check:
ๅ ่
ไปปๅ measure , ไปฅๅ extended -integrable function , ้ฃไนthe signed measure induced by and ๅณ ไธๅฎๆ:
trivial.
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Question: ๆไปฌๅฆไฝๅคๆญ่ฟไธช RN derivative ๆฏๅฆๅญๅจๅข? Radon Nikodym Theorem ๆญฃๆฏ่ฟไธช้ฎ้ข็็ญๆก.
11.1.5 RN Thm: -finite ๅญๅจ RN derivative
ๅฏนไบ -finite measure on ,
ๅนถไธ่ฟไธช RN derivative ๆฏ unique ็, in -a.e. sense. (ๅณๅจ ็ไธไธช null set ไนๅคๅฏไธ).
Radon Nikodym Theorem ่กจ็คบ, ๅฏนไบ -finite ็ ๅ , RN derivative ๅญๅจ(ๅนถไธไธๅฎๅฏไธ)ๅฝไธไป
ๅฝ . ๅณๅฏนไบไปปๆไธคไธช abs ctn ็ measure, ๅช่ฆๅฎไปฌ -finite, ๅฐฑๅฏไปฅ็จไธไธชๅ
ทไฝ็ๅฝๆฐ ๆฅ่กจ่พพๅฎไปฌไน้ด็ๅ
ณ็ณป.
่ฆ่ฏๆ RN Theorem, ๆไปฌ่ฟ้่ฆไธไบ Lemma.
ๅฆๆ ้ฝๆฏ finite positive measure on ๅนถไธ , ้ฃไนไธๅฎๅญๅจ ไปฅๅ with s.t.
We look at for each . ๅฎไปฌ้ฝๆฏ finite signed measure for sure.
่่ Hahn Decomposition Theorem ็ปๅบ็ for each . ๅนถ set:
ไบๆฏ: ๅฏนไบไปปๆ , ้ฝๆฏ ็ negative set.
่ฟ่ฏดๆ:
ๅ ่ไธๅฎๆ:
(่ฟๆฏๆพ็ถ็, ๅ ไธบ intersect ไบๆๆ็ ็่ด้, ๅจ ๅคง็ๆถๅ่ฟไธช diff measure ๅบๆฌ็ญไบ , ่ ๆฌ่บซๆฏ positive ็, ้ฃไนๆพ็ถ .)
Case 1: ๅฆๆ , ้ฃไน .
Case 2: Otherwise then ๅญๅจๆไธช , ่ฏดๆ ๆฏ ็ positive set, ๅ ่ๅจ ไธ, .
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่ฟไธช Lemma ่กจๆ, ๅฏนไบไธคไธช positive measures, ๅฎไปฌ่ฆไน mutually singular, ่ฆไนไธๅฎๅญๅจๆไธช nontrivial ็้ๅไธ, ไธไธช่ฝๅคไปฅไธๅฎๆฏไพ bound ๅฆๅคไธไธช.
่ฟๆฏๅ ไธบ, ๅช่ฆ่ฟไธคไธช positive measures ไธๆฏ mutually singular ็ (่ฏดๆๅฎไปฌๆๅ
ฑๅ็ๅญๅจๅๅ็ๅบๅ), ้ฃไน note that positive measure ้็้ๅๅขๅคงไธๅฎๆฏๅขๅคง็, ๅ ่็ด่งไธ่ฏๅฎๅญๅจๆไธชๅญ้, ไฝฟๅพๅ
ถไธ, ๅฎไปฌๅ
ถไธญไธไธช่ฝๅคไปฅไธๅฎๆฏไพ bound ๅฆๅคไธไธช.
็ฐๅจๆไปฌ่ฏๆ RN Thm:
of RN Thm:
Step 1: ้ฆๅ
็กฎ่ฎค uniqueness, if exist.
้ฆๅ
ๆไปฌ assume ้ฝๆฏ finite p.m.
ๆไปฌๅ
verity uniqueness: ๅ่ฎพ
้ฃไนไปค , ๆ
ๆไปฅ a.e.
This shows the uniqueness.
็ถๅๆไปฌ verity existence:
ๆไปฌ่่
We can define partial order on : ็งฐ if for a.e. .
ๆพ็ถ ๆฏ ไธญๆๅฐ็ๅ
็ด . Idea: ๆไปฌๆณ่ฆๅพๅฐ ไธญๆๅคง็ๅ
็ด , ็็ๆฏๅฆ่ฝๅๅฐๆปๆฏๆ
Step 2: Claim
Proof of Claim: for fixed , ่่ . ไปปๅ , ๆ:
Claim proved.
Step 3: ๆ้ ๅบ potential RN derivative: ๆๅคง็ๅ
็ด ็ฐๅจๆไปฌ set
ๆพ็ถๆ:
pick s.t. , ๅนถไธ set
for each .
ๆพ็ถๆ:
ๅนถไธๆ นๆฎๆไปฌ็ claim, ๆๆ .
ๆ นๆฎๅฏๆตๅฝๆฐ็ๆง่ดจ,
ๅนถไธๆ นๆฎ monotone convergence theorem๏ผMCT๏ผ,
ๅนถไธ, ๅฏนไบไปปๆ measurable, ๆ นๆฎ MCT ไนๆ
ๆไปฌ set:
Step 4: ่ฏๆ .
Proof: ้ฆๅ
ๆไปฌ็ฅ้ by def .
Set:
By our assumption , ไป่ไนๆ .
ๅ ่ๅช้่ฆ่ฏๆ , ๅฐฑๅฏไปฅๅพๅฐ , ไป่่ฏๆๅบ .
่ฟไธชๆถๅ Lemma ๅฐฑ่ตทไบไฝ็จ:
Suppose for contradictin that , ้ฃไน by lemma, ็ฑไบ ๆฏไธไธช finite positive measure, ไนๆฏไธไธช finite positive measure, ๅๅญๅจ ๅ nontrivial measurable , ไฝฟๅพ on .
ไบๆฏ:
่ , ๅ ่
่ฟๅ ๅฒ็ช (ๅฆๅๅฎ็็งฏๅไธๅฎๅฐไบ็ญไบ ).
ไป่, ๆฏ finite p.m. ็ๆ
ๅตๅพ่ฏ.
Step 5: ๆจๅนฟ่ณ finite s.m., finite p.m. ็ๆ
ๅต.
็ฑ Jordan decomposition theorem ๅๅบ , ๅ็ดๆฅ Apply Step 1 ๅณๅพ่ฏ.
Step 6: ๆจๅนฟ่ณ -finite ็ๆ
ๅต.
Proof: By -finite ็ๅฎไน, ๆไปฌๅฏไปฅ decompose
้ฃไน by finite case, , is finite for each .
ๅ ่
ไบๆฏ, take
ๅณๅฏๅพ่ฏ.
Note: ่ฟ้็ ๆฏ ext -intble ็, ๅณ: ่ณๅฐๆไธไธชๆฏ ext -intble ็. ่ฟ follows from ไฝไธบไธไธช signed measure ็ๅฎไน: ่ณๅค admit ไธญ็ไธไธช.
Specially, ๅฆๆ ๆฏไธไธช positive measure, ้ฃไน ไธๅฎไนๆฏ้่ด็, ไป่ .
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ไธไธไธช lecture: ๆไปฌๅฐ upgrade RN Thm to ไธไธชๆดๅ general ็ version: Lebesgue Radon Nikodym Thm.
11.2 Lebesgue-Radon-Nikodym Theorem [Fol 3.2, finished; 3.3, finished]
recall Radon-Nikodym Theorem:
ๆไปฌ็งฐ ไธบ Radon-Nikodym Derivative:
Application: conditional expectation.
Borel measurable.
Define:
ๅนถ้ไธๅฎๆฏ -measurable ็.
11.2.1 LRNT: ไปปๆ -finite , ๅฏๅฐ ๆ่งฃๆ ๅ
ๅฆๆ on , ้ฃไนๅญๅจๅฏไธ็ decomposition
where ๆฏ -finite ็ signed measure s.t. .
(ไบๆฏ, by RNT, ๅญๅจ -unique ็ extended -integrable s.t. ).
Sktech of proof of LRN theorem: Assume for simplicity that ๆฏ finite p.m.
Like last time, look at
Saw: ๆ max element .
Define by .
Set:
Want: .
Prove by contradiction: ๅฆๆ , ้ฃไนLemma 2 ๅ่ฏๆไปฌ: ๅญๅจ ๅ positive measure ็ ไฝฟๅพ:
on .
Set
ๅ
ๅ ่
ๅ ่ ไธ .
ไป่ๅพ่ฏ . ไป่ existence proved.
Uniqueness part: Suppose we have
where , . ้ฃไน
ๆไปฌ็ฅ้, ๅ ไนๆฏ signed measures. ๅนถไธ,
By Lemma 1:
Properties of the RN derivative: (P91 in Folland)
-a.e. = -a.e.
11.2.2 complex measure ไปฅๅ complex version of LRNT
ไธไธช complex measure on a measurable space ๆฏไธไธช map satisfying ไปฅๅ ctbl disjoint additivity.
simple complex measures:
p/s/c measure on .
Since , a complex measure is just a function
่
positive: signed:
For discrete spaces, the total variation measure is defined pointwise:
So the total variation measure is just the vector of magnitudes:
What is ?
Since this is a finite discrete setting, the Radon-Nikodym derivative is computed **pointwise**:
So the result is a function , given by:
This derivative is a function that lives on the unit circle in (except at zero), and it satisfies:
Homework 10: on LRN Theorem and complex measure (40/40)
(Note: For this homework I applied for an one-day extension since I met with some emergent problem with my bank and rent payment.)
complex measure ็ total variation ็ formulas
Let be a complex measure on a measurable space . Prove that, for any :
Take some positive measure s.t. (e.g. ), then by RN Thm there exists -unique RN derivative , and can be defined by
Now we denote:
We will prove the equality by showing that .
Claim 1: .
Proof: This is trivial since for each finite disjoint segmentation of can be made into a countable segmentation of , by taking all for . So every value included in is also in . Thus taking , we have the ineq.
Claim 2: .
Since (Folland prop 3.13), by complex RN Thm we have have
Notice that have absolute value , -a.e. (Folland prop 3.13)
Suppose , we have:
To confirm this equal to , we extend Folland prop 3.9 to the complex case.
For complex measure and -finite positive measure s.t. , if , then
And the proof just follows from the finite signed-measure case, applied both to im part and re part.
Now we back to Claim 2, since , we have:
Since (in -a.e. sense), this shows that every element in is less then or equal to , and is less then some element in , proves that .
Claim 3: .
For arbitrary simple function where for all s are disjoint and . We have
Now we consider the general case: any measurable .
Fix arbitrary measurable s.t. , since it is measurable, we can choose seq of simple functions that approximate pointwisely from below.
with
Then as a dominating function for , by DCT we obtain:
and
Thus
Since for each , we have for a.e. , we can apply the ineq we obtained that
for each . Thus taking limit we get:
Taking supremum over , proves that .
Thus since we have shown , every inequality above is an equality, i.e.
finishing the proof.
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complex measure ไธๅ ถ total variation measure ไน้ด็ๅ ณ็ณป: ๆดไฝๅณๅฏๅณๅฎๅฑ้จ
Let be a complex measure on a measurable space .
11.2.3
;
is a (finite) positive measure;
.
(ii) (iii): If is positive then , so .
(iii) (i): Trivially true by taking .
(i) (ii): Take some positive measure s.t. (e.g. ), then by RN Thm there exists -unique RN derivative , and can be defined by
Then by def
Since the right hand side is real, we have:
Note that, is always nonnegative, so this implies that
Thus , so is real and positive -a.e. Thus
finishing the proof that is a positive measure.
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11.2.4 for some
Prove that the following two conditions are equivalent:
;
there exists a complex number with such that .
(i) (ii): Since , by complex RN Thm we have RN derivative
Notice that have absolute value , -a.e.
Then by def of RN derivative we have
Thus
Since we have , it implie that:
Claim: is constant -a.e.
We first prove a lemma:
Let be a finite positive measure.
For measurable function , if a.e. for some nonzero constant and
then must be a.e. constant.
Proof of Lemma: Set:
Then , and we consider:
Define , so:
Notice and
Thus
Since by def:
We must have
This proves that is a.e. real. And also since a.e., is then constant a.e.
Therefore, is constant a.e.
Now we go back to the proof of the original statement. By our Lemma we get:
Therefore,
This finishes the proof of (i) (ii).
(ii) (i): This direction is trivial. Since , we have
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11.3 complex measures on ็ปๆไธไธช complex Banach space
Let be a measurable space. Prove that the set of complex measures on is a complex Banach space, with norm given by .
Claim 1: is a complex vector space, with addition operation defined by the addition of two complex measures, and scalar multiplication defined by scaling a complex measure by a complex number.
Proof of Claim 1: For , and , define:
for all
for all .
Then: .
Also, and are both countably additive, since sum and scalar multiples preserve this property: for with each , we have:
and
So they are also complex measures, showing that is closed under addition and scalar multiplication, thus a complex vector space.
Claim 2: total variation defines a norm on .
Proof of Claim 2: To verify this is a norm, we check the norm requirements:
Nonnegative: , and
Proof: follows from that is a p.m.
Since we know , if then is a null set of , and thus is a null set for , so ;
Conversely, if thenfinishing the proof that
Homogeneity:
Proof:Triangle inequality:
Proof:
Here we have finished the proof of being a normed -vector space.
Claim 3: is complete (thus Banach space)
Proof: Let be a Cauchy sequence in . We have
In particular, is a Cauchy sequence for all . For each , this is a Cauchy seq in , thus converges. So we can get:
as the pointwise limit (by a point we mean a set).
Claim 3.1: .
Since for all , , we have:
For a countable disjoint union of measurable sets ,
We know by property of total variation measure that for each we have:
for some uniform bound for each , since is a Cauchy seq in . Thus we can exchange the order of taking limit and sum. Then we get:
verifying the countable disjoint additivity.
And notice, as we have mentioned, for each measurable set , since is a Cauchy sequence in , it is bounded, verifying that is a valid complex measure.
Claim 3.2: in .
Fix .
By Cauchy in , there exists s.t. for all , we have
Fix , and consider the sequence . Then pointwise implies pointwise. Thus
Since is arbitrary, this shows that, as , proving the convergence is in norm.
Now we conclude that is a Banach space.
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Positivity
Let , be complex measures on a measurable space such that . Is it true that there exists a nonzero constant such that and are both positive measures?
No, not necessarily.
Consider
Define by atoms:
Then
But there is no nonzero constant such that and are both positive measures.
This is because for any nonzero constant scaled on : if real, then it either flip, or preserve the sign of and , where there is always one positive number and one negative number between them; if complex, then make the two numbers complex.
In both case, cannot become a positive measure. And since is defined the same as , same for it. Therefore it can never become positive measure by scaling a nonzero constant.
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Averaging: Conditional Expectation
Let be a finite measure space (i.e.ย a measure space such that ). Let be a sub--algebra, and set . Thus is also a finite measure space.
Prove that if is -measurable, then is -measurable. Is the converse true?
Suppose that . Prove that there exists a -measurable function such that for all . Also prove that any two such functions must agree outside a set of -measure zero.
Construct explicitly in the case when , , for , and . Thus, given the four complex numbers , , you should find the four complex numbers , .
Hint: use the RadonโNikodym Theorem. Remark: if is a probability measure, then we can view as the conditional expectation of (the random variable) with respect to the -algebra .
of (a): Suppose is -measurable, then for any Borel set , , so is -measurable.
The converse is not true.
Consider .
Consider from to .
is -measurable since is the power set, containing all subsets of .
But . Thus is not -measurable.
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of (b): Let , and define a signed measure on by:
Then , since .
By Radon-Nikodym Thm, there exists a -measurable function such that
Then
Suppose are both such functions, then
Define
These two sets are in since are -measurable. Then we have:
Since on we have ,
Similarly, since on we have ,
Thus
This finishes the proof.
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of (c): Given:
for each
Suppose we have: , so for . We want to find: , such that is -measurable and
Notice that , we must set and , this is because, suppose if we set , then it will happen that
No set in satisfy this condition, thus , contradicts that is -measurable.
Thus we set
We have:
and
while on the other hand
Thus is defined by:
Thus what expressses: is the conditonal expectation of on .
(Therefore it can be generalized: given any sub -algebra , there exists a -unique measurable function , that is the conditional expectation
s.t. for ,
it gives the average of on sets in .)
Nur fรผr Verrรผckte
(Itโs really not necessary to attempt these problems. Do not, under any circumstances, hand them in!) To any measure space we can associate a new measure space , where is the Banach space of complex measures on , and is the Borel -algebra on .
Does this operation define a functor from the category of measurable spaces to itself. Is this functor (if well defined) full? Is it faithful? Is it essentially surjective?
Does the operation above admit any nontrivial fixed points (up to isomorphism)?
12 differentiation on real spaces
12.1 differentiation of regular Borel measures on [Fol 3.4, finished]
ไธไธช Borel measure on ่ขซ็งฐไธบ regular ็, if is locally finite (finite on every compact set).
ไธไธช regular Borel measure on ไธๅฎๆปก่ถณ:
outer regularity:
inner regularity:
ไปปไฝ LS measure on (restrict to Borel sets) ้ฝๆฏ regular measure. Lebesgue measure on (restrict to Borel sets) ๆฏ regular measure.
ๅฝ็ถ, ่ฟไธชๆฆๅฟตไนๅฏไปฅๆจๅนฟ่ณ signed/coplex measure ไธ.
ไธไธช signed/complex measure on ่ขซ็งฐไธบ regular measure, if is regular ็.
ๅฆๆ , ๅ ๆฏไธไธช regular measure. ๅฆๆ ๆฏ extended-integrable ็, ๅ
Folland p99. ่ฟๆพ็ถ, ๅ ไธบ locally integrable ๅฐฑ่ฏดๆ ๆฏ locally finite ็.
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ๅฆๆ ๆฏ signed/complex measure ๅนถไธ , ้ฃไน
ๅจ hw 10 ไธญ.
Note: STS it for positive measure, ่ฟๆฏๅ ไธบๅฏนไบ regular signed / complex measure ่่จ,
ๅนถไธไป่
่ฟไธๅฝ้ข็่ฏๆไนๅจ hw 10 ไธญ,
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12.1.1 LDT meets LRNT: ไปปไฝ regular Borel measure on ๅฏนไบ ็ RN-derivative relative density
Let be a regular Borel measure on , with LRN decomposition
ๅณ
้ฃไน: ๅฏนไบ -a.e. , ้ฝๆ:
็ฑ ๅพๅฐ:
By LDT, ๆไปฌๆ:
ไบๆฏ, ๅๅฝ้ขๅณ่ฝฌๅไธบ WTS:
(Notice: ่ฟ้ ไนๅฐฑๆฏ , ๅ ไธบไธคไธช mutually singular ็ measure๏ผๅ
ถ RN derivative = a.e.).
By lemma: ๅ ไธบ regular, ไธ ,ๅฏไปฅๆจๅบ: ไนๆฏ regular ็.
WLOG ๆไปฌๅฏไปฅ suppose ๆฏ positive measure, ๅ ไธบ , ๅนถไธ for any . ๅ ่ ๆฏ positive measure ็ๆ
ๅตไธญ่ฟไธชๆ้ไธบ ไน่ช็ถๆจๅนฟๅฐ complex measure ไธ.
ๆณจๆ: ็ฑไบ , ๆไปฌๅฏไปฅ้ๅ Borel set such that
ไป่: ๅช้่ฆ่ฏๆ for a.e. ๅฐฑๅฏไปฅไบ, ๅ ไธบ ๆฌ่บซไนๆฏ ็ null set.
ๆไปฌ set:
ไป่ STS: ๅฏนไบไปปๆ , .
ๆไปฌ Fix ไธไธช , by ็ inner regularity, STS: ๅฏนไบไปปๆ็ cpt compact, ้ฝๆ .
ไบๆฏๆไปฌ fix ไธไธช compact set , ๅนถ fix , STS: .
By ็ outer regularity, ๅญๅจ open ไฝฟๅพ
By ็ๅฎไน, ๅฏนไบไปปๆ็ , ้ฝๅญๅจๆไธช ไฝฟๅพ
Since
ไป่ by finite open covering thm, ไธๅฎๅญๅจๆไธช finite set ไฝฟๅพ
ๆไปฌ recall VItali covering lemma: For given collection of balls , ๅญๅจ disjoint subcollection ไฝฟๅพ
ไปฃๅ ฅ่ฟ้, ๅพๅฐ: ๅญๅจ s.t. for all , ้ฝๆฏ disjoint ็, with
ไบๆฏ
Since ไปปๆ, .
Since ไปปๆ, .
Since ไปปๆ,
ไป่ๅพ่ฏ.
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12.1.2 Differentiation on
12.1.3
Recall that: ๆฏไธช distribution function (้ไธฅๆ ผ increasing, right ctn function) ้ฝๅฏนๅบไบๅฏไธ็ไธไธช regular Borel measures on , ๅไนไบฆ็ถ.
็ปๅฎไธไธช regular Borel measures ,
ไธบๅฎ็ unique distribution function. ๅณ , for all h-intervals.
่็ปๅฎๅฏนไบ distribution function , ๆไปฌ define by:
็ถๅ by Hahn-Kolmogrov, extend to a regular Borel measure , ไฝฟๅพ for any h-interval, i.e. ๆฏ ็ distribution function, ๅนถไธ unique in the sense that ไปปๆๅ ถไป็ such function ๅฆๆไนๆฏ ็ distribition function, ๅๅฟ ็ถๆ ไธบ const. ไป่
ไน้ดๆๆไบไธไธช measures ๅ functions ็็ฉบ้ด็ bijection.
distribution function ๅ regular measure ไน้ด็ๅฏนๅบๅ ณ็ณป, ๅ ณ้ฎ็จๅคๅจไบไปไนๅข? ๆไปฌ recall ๅๅๆ่ฏๆ็ๅฎ็, ไธ่ฟไฝฟ็จไธไธชๆด general ็ version (can easily be extended from what we proved):
Let be a regular Borel measure on , with LRN decomposition
้ฃไน: ๅฏนไบ -a.e. , ๅไปปๆ nicely shrinking to , ้ฝๆ:
ๅ ่ๅฆๆๆไปฌๆไธไธช ไธ็ regualr measure , ้ฃไน่่ , ๆไปฌๆ:
ไป่ๆไปฌๅ็ฐ for a.e. , ้ฝๆ:
ๆไปฌๅฏไปฅๅพๅฐ: ่ฟไธช regualr measure ็ธๅฏนไบ ็ LRN derivative, ๅฐฑ็ญไบๅฎ็ distribution function ็ derivative! ็่ณ, ๆไปฌๅฏไปฅ็ฑๆญคๅคๆญ: ๅฆๆ ๆฏไธไธช distribution function (increasing, right ctn), ้ฃไนๅฎ็ derivative ไธๅฎๆฏ a.e. ๅญๅจ็! Since regular locally intble by LDT, ่ฟไธช density limit ๆฏ a.e. ๅญๅจ็.
่ณๆญค, ๆไปฌๅ็ฐไบ Monotone Differentiation Theorem.
12.1.4 Monotone Differentiation Theorem
ไปค ไธบไธไธช increasing (nondecreasing) function, set:
ๅณ ็ๅณๆ้ๅฝๆฐ. (note: ไธๅฎๆฏ increasing ไธ right ctn ็, ๅ ่ๆฏไธไธช distribution function)
ๅๆ:
ๆฏ่ณๅค ctbl ็ (ไป่ไธๅฎ zero measure)
้ฝ differentaitble -a.e., ๅนถไธ
of (a): STS that, ๅฏนไบไปปๆ ,
ๆฏไธไธช finite set. ไป่ ๆฏ at most ctbl ็.
่ ็กฎๅฎๆฏ finite ็, ๅ ไธบ ๆฏ bounded ็, ๆไปฅ ไธๅฎๆฏ finite ็. (่ณๅค็ปๅ ไธช่ฟๆ ท็็น).
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of (b): ้ฆๅ
ๆไปฌ็ฅ้, right ctn + increasing ๆฏไธไธช LS (thus regular when restricted to Borel sets) measure on .
Apply LDT to , take as the shrinking family to .
ไบๆฏ
็ฑ LDT ไธๅผ็ limit exist for a.e. ( w.r.t. ็ RN derivative), ๅฎๅฐฑๆฏ , ไธ a.e. ๅญๅจ, ็ญไบๅ
ถ induce ็ LS measure ็ RN derivaive.
็ฐๅจ remains to show: ็ derivative ไน a.e. ๅญๅจ, ๅนถไธๅ ็็ธ็ญ. ๆไปฌ set:
ไป่ STS: a.e. ๅญๅจไธไธบ .
้ฆๅ
, ๅนถไธ ๅชๆๅฏ่ฝๅจ discontinuous points (which is at most ctbl)ไธ. We set:
ไป่ๅฏนไบไปปๆๅบ้ด ,
็ฑไบ locally intble, ่ฟไธช ๆฏไธไธช regular Borel measure.
ๅนถไธ, ่ฟไธช ็ null set ไธบ , ่ , as we have proved, is at most ctbl, ๅ ่ๆฏ ็ null set. ไป่ๅพๅฐ:
ไบๆฏ
ไป่็ฑ LDT ๅพ:
ๅ ่ๅฏนไบไปปๆ็ ,
finishing the proof.
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12.2 functions of bounded variation: [Fol 3.5]
ไธไธ่่ฏพๆไปฌ่ฏๆไบ Monotone Differentiation Theorem: ๅฎ่กจๆ็ๆฏ, ไปปไฝ ็ non-decreasing function ้ฝๆฏ differentiable a.e. ็.
ๆไปฌ็ฅ้ไธไธชๅฝๆฐๅจไธๆดไธชๅบ้ดไธ differentiable ๅ
ถๅฎๆฏไธไธชๆฏไปทไธฅๆ ผ็ๆกไปถ, ไฝๆฏ differentiable a.e. ็ๆกไปถๅฐฑ็ฅๅฅฝ่พพๅฐไธไบ.
Question: ๅฆๆไธไธชๅฝๆฐๅจ ไธ differentiable a.e., ้ฃไน in a.e. sense, ๅฏไปฅๅจ ไธๅฎไนๅฎ็ derivative . ้ฃไน, ๆฏๅฆไธๅฎๆ
ๅข? ็ญๆก่ฏๅฎๆฏไธไธๅฎ็. ไปฅไธๆฏไธไธชๅไพ: 1. Heaviside function; 2. Cantor function; 3. a.e., but not on a null set.
่ฟไนๅพๆพ็ถ: ๅ ไธบๅ็น็ๅผๆฏๆ ๆณๆงๅถ็. ๆไปฌๅช่ฝๆงๅถ in sense of a.e. , ๅ ่ๆ outlier ็ ๆฏๅพๆญฃๅธธ็.
ๆไปฌไนๅๅฐ revisit ่ฟไธ้ฎ้ข, ็ปๅบ่ฟไธช็ญๅผๆ็ซ็ condition.
ๆฅไธๆฅๆไปฌๅฐ
12.2.1 total variation function of a function
็ปๅฎไธไธช function , ๆไปฌๅฎไนๅฎ็ total variation function ไธบ:
ๅฏนไบไปปๆ็ , ้ฝๆฏ increasing ็; ๅนถไธๅฏนไบไปปๆ , ๆ:
where
่กจ็คบ ็ๅฎไนๅ้ๅถๅจ ไธ็ total variation.
ๆพ็ถ, ็ฑไบ total variation ๆฏ increasing ็, ๆไปฌๆปๆฏๅฏไปฅ greedyly ้ๆฉ partition. ๅฏนไบไธไธช partition, ๆปๆฏๅฏไปฅๆๅ ฅไธไธชไธญ้ด็นๆๅฎๅๆไธคๅ, ่่ฟไธคๅ็ sub partition ็ total variation ็ๅ ๅๅ ็ partition ็ total variation.
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12.2.2 space of functions of bounded variation: ็ๅบๆฌๆง่ดจ
ๅฆๆ , ๆไปฌ็งฐ is of bounded variation ็, ๅไฝ .
ๅฆๆ , ๆไปฌ็งฐ is of bounded variation on , ๅๆ .
้ฆๅ ๆพ็ถ, ๅฏไปฅ reduce to real-valued ็ๆ ๅตๆฅ่ฎจ่ฎบ.
12.2.3 as a vector space
ๅฆๆ , ้ฃไนๅฏนไบไปปๆ็ , we have
ไป่
ๆๅพ. ๆพ็ถ, ๅฝๆฐ็ total variation ๆฏ็บฟๆงๅฏๅ ็.
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12.2.4 ็ ็ limit behavior
ๆไปฌ็ฅ้๏ผ if . ่ๅ ณไบ , ๅๆ ทๆๅผบ็ป่ฎบ:
Let .
ไป่ๅฏนไบไปปๆ็ , since ้ฃไน bounded, ๆฏไธไธช real number.
ๅ ่ๆไปฌๅฏไปฅๆพๅฐไธ็ป partition points ไฝฟๅพ
ไป่
ไป่
Since arbitrary, ่ฟ่ฏๆไบ
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right ctn ไน right ctn
Let .
Let
WTS: .
By right ctnity of ๅ increasing, ๆไปฌๅฏไปฅ้ๆฉ , ๅๆถๆปก่ถณ: , whenever .
Fix ไธไธชๆปก่ถณ ็ . ๅ
ถๅ็่ฏๆ่ง Folland 104.
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12.2.5 ๅฑไบ ็ๅฝๆฐ
ๅฆๆ bounded ไธ increasing, ้ฃไน ไธ .
ๅฆๆ ๆฏ Lipschitz countinuous ็, ้ฃไน for ไปปๆ็ cpt interval
ๅฆๆ ๆฏ differentiable ไธ bounded ็, ้ฃไน for ไปปๆ็ cpt interval
(1) trivial.
(2) by def: ่่ Lipschitz const , ๅ .
(3): ่ฟๆฏ (2) ็ๆจ่ฎบ, ๅ ไธบ recall: by MCT ๅฏๅพ: ๆฏ differentiable ไธ bounded Lipstchiz ctn.
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ไปฅไธๆฏไธไบ็ปๅ ธ็ๅฝๆฐ็ variational behavior:
: ๅฑไบ for ไปปๆ cpt , ไฝไธๅฑไบ .
: ๅฑไบ iff .
: ๅฑไบ iff .
(1) ๆพ็ถ; (2),(3) ่ง HW 11. ๅ ถๅฎๅฎไปฌๅบๆฌ็ธๅ. (): if then . ๆฏ็ฎๅ็, we differentiate for :
ๅจไธๅซ ็ๅบ้ดไธ, ๅฎๆฏ bounded ็. ไบๆฏ by lemma ๅพ่ฏ.
(): if then . This is equiv to: if then .
Suppose then and , one of which is strict. WLOG we suppose .
ๆไปฌ็ idea ๆฏ harmonic series. ่่
we have:
For odd , , for even , . Since , for some we have . Then we consider the partition: pick , and use as the partition points of .
Then we have
As , this sum , by the harmonic series.
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12.2.6 Jordan decomposition for :
ๅฆๆ real-valued , ้ฃไน ้ฝๆฏ increasing ็.
ไปปๅ .
Let .
Can find , s.t.
ไป่
็ฑไบ ไปปๆ, ๅฏไปฅๅพๅฐ:
ๅ ่:
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ๅฏนไบ (ๆณจๆๆฏ real-valued):
Specially,
ๅ ่ for , ๆไปฌๆปๆฏๅฏไปฅๆๅฎๅไฝ
where we call it as the Jordan decomposition of . ๅ ถไธญ, ่ขซ็งฐไธบ ็ positive variation; ่ขซ็งฐไธบ ็ negative variation.
ๆพ็ถ, bdd, ๅ ไธบ
For , we have .
ๅ bdd by def, ๆไปฌๅพๅฐ:
่ๅๅ trivial (bounded function ็ๅทฎไป็ถ bounded).
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12.2.7 corollaries of Jordan decomposition
Let . By Jordan decomposition, ็ญไบไธคไธช bounded increasing functions ็ๅทฎ.ไป่ๆไปฌ by MDT ๅพ:
ๅญๅจ for all ; ไนๅญๅจ.
ๆฏ at most ctbl ็.
ๅฎไน , ๅ ้ฝ a.e. differentiable ไธ -a.e.
่ฟ้ๆ้่ฆ็ๆฏ:
12.3 ็ฉบ้ด, ไปฅๅๅ ถไธ็ FTC for Lebesgue integral [Fol 3.5, finished]
12.3.1 ๅๅ ถๆง่ดจ
For , ๆไปฌๅฎไน: , if ไธ right ctn, .
ๆฏไธไธช linear subspace.
ๆไปฌๅทฒ็ป็ฅ้:
Notice: ่ฟไธ็น is achieved by
็ญๅไบ:
ๆณจๆ: positive regular Borel measure ๅ distribution functions ้ฝๆไธไธชๅ
ฑๅ็น: ๅฎไปฌๅจ bounded set ไธๆฏ bounded ็, ไฝๆฏๆดไฝๅฏไปฅ unbounded.
่็ฐๅจๆไปฌ่ฏๆ:
12.3.2
ๆณจๆ: ไธไธช complex Borel measure ๅไธไธช ้ฝๆฏ finite ็.
ๅฏนไบ ไธ็ complex measure , defining
ๅๆ:
ๅฏนไบ , ไธๅฎๅญๅจๆไธช unique complex measure on , ไฝฟๅพ
(1): ๅฝ ๆฏ positive ็ๆ
ๅตไธ, ๆฏๆพ็ถ็. complex ็ๆ
ๅตๅฐฑๆฏ re/im ้จๅๅๅซๅ ๅ ๅณๅฏ.
(2): ๅๆ ท, WLOG ๆไปฌๅฏไปฅๅ่ฎพ ๆฏ real-valued ็.
, ่ฟไธคไธช้ฝๆฏ bounded increasing functions ไธ NBV, ไป่ๅญๅจไธคไธช finite signed measure ๆปก่ถณ:
ๅๅฎไน
ๅณๅฏ
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ๅฏนไบไปปๆ็ , ๆไปฌๆ:
Specially when ๆฏ real-valued ๆ ๅตไธ, ้ฃไน ๆฏไธไธช finite positive measure, ไธๆ
Now: Given with associated c.m. , ไปไนๆถๅ , ไปไนๆถๅ ?
ๅฏนไบ , ๆไปฌๅทฒ็ป็ฅ้: -a.e. ๅญๅจ, ไธ .
Now we claim, ๆ:
ไปฅๅ
Let . Applying LDT and LRNT, with :
ๅ ่ ๅฐฑๆฏ่ฟไธช RN derivative. ๅฏนไบ
where , ๆไปฌๆ:
ๆไปฌ็ฅ้, , ไป่ by LDT meets LRNT, we know that
่ , ไป่็ดๆฅ :
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12.3.3 ๅๅ ถๆง่ดจ
ๆไปฌๅฎไน ๆฏ absolutely ctn ็, if ๅฏนไบไปปๆ ้ฝๅญๅจ ไฝฟๅพๅฏนไบไปปๆ็ disjoint intervals , ้ฝๆ:
ๆไปฌๅฎไน ๆฏ absolutely ctn ็, if ๅฏนไบไปปๆ ้ฝๅญๅจ ไฝฟๅพๅฏนไบไปปๆ็ disjoint intervals , ้ฝๆ:
ๅฏนไบ ,
ๆไปฌ recall, abs ctn ้คไบ " ็ nullsets ไนไธๅฎๆฏ ็ null sets" ไนๅค, ่ฟๆๅฆไธไธช characterization: ๅฝไธไป
ๅฝๅฏนไบไปปๆ ้ฝๅญๅจ ไฝฟๅพ .
ๆพ็ถ, ่ฟไธช characterization ๅ่ฟ้็ๅฝ้ขๆๅ
ณ. ๆไปฌๅ็ฐ, ็ดๆฅ naturally follows from ่ฟไธช form. Let , ๅญๅจ ไฝฟๅพ . ้ฃไน่่ with , ็ดๆฅๆ
ไป่ๅพ่ฏ.
่ๅๅ, ๆไปฌ่่ , ๅนถๅฉ็จ outer regularity ๅไธไธช้ผ่ฟๅฎ็ open set (ๆฏไธชๆฏ union of finite disjoint open intervals) seq, ้ผ่ฟ , with . ็ฑ ๅฏไปฅๅพๅฐ
for all , ไป่ . ไป่ๅพ่ฏ, since arbitrary.
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12.3.4 FTC for Lebesgue integral on : requires
ๅฆๆ , ้ฃไน
Conversely, ๅฆๆ , ้ฃไน
12.3.5 FTC for Lebesgue integral on a cpt interval: ๅช้่ฆ
ๆฏ่ตทๅๆ็ FTC-I, FTC-II ็ๆกไปถ่ฆๅฎฝๆพๅพๅค, ๅช้่ฆ ๅจๅฎ้่ฆ่ขซ็จๅฐ็ compact interval ไธ AC ๅณๅฏไปฅ. ่ฟๆฏๅ ไธบ, ๆไปฌไธ้่ฆ็จๅฐ NBV ๅช้่ฆ BV, ๅนถไธๅจ cpt interval ไธ, AC ๆฌ่บซๅฐฑๅฏไปฅๆจๅบ BV.
ๅฆๆ , ้ฃไน .
ๅณ
่ฟๆฏๆพ็ถ็. ๆไปฌ็ๅฐ ็ๅฎไน: on we have:
ๆไปฌไธๅฆจ่่ , ็ถๅๅฏไปฅๅๅ into ไธไธชไธชๆป้ฟๅบฆไธบ ็็ฑ disjoint intervals ๆๆ็ๅ (่กฅ็ฉบ็ผบๆฒกไบ), ไป่ Bound ไฝ่ฟไธชๅๅไธ็ variation by parition . ่ๆไปฌๅ็ฐ: ่ฟไธชๆถๅๆไปฌไธ่ฎบๆไน fine ่ฟไธชๅๅ, ๆฏไธชๅ็ๆป้ฟๅบฆๆปๅฝๆฏไธๅ็, ไป่ไป็ถๅฏไปฅไฝฟ็จๅๅ
็ bound.
ๆไปฌ recall: for total variation, partition ็้ๅๆฏ greddy ็. ไป่่ฟๅฐฑ่ถณไปฅๅพ่ฏ.
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TFAE:
ๆฏ diffble a.e. on ็, ไธ , ไธ
for all .
้ฆๅ
, diffble a.e. on .
Notice that: ่ฟ้ๆไปฌๅช่่ , ไบๆฏๆไปฌๅฏไปฅๅฐๅ
ถไป้จๅ็ๅผ้ฝ่ฎพไธบ smooth ็, ๅนถ normalize it: ๆ for , for .
ๅ right ctn for sure, ๆไปฌ then have: , ไป่
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12.3.6 characterization for Lipschitz ctn
ๅฏนไบ , we have:
่ง HW 12.
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ไป่ๆไปฌๅพๅฐ: ctnity ๆกไปถ็้ๆจๅ ณ็ณป:
ๅ ณไบ่ฟ็ปญๅฝๆฐ็ๅฏๅฏผๆง: Lipschitz ctn ๅฏไปฅๆจๅพ a.e. diffble bounded derivative; abs ctn ๅฏไปฅๆจๅพ a.e. diffble ไธๅจ cpt interval ไธ derivative ; ่ๅพๅ็ uniform ctn ๅไธ่ดๅซๅฏๅฏผๆงๆกไปถ.
่ๅ ณไบๅๅฏๅฏผๆง็ดงๅฏ็ธๅ ณ็ๅๅทฎๆง่ดจ: abs ctn ๅจ bounded interval ไธๆฏๆฏ BV, NBV ๆดๅผบ็ๆกไปถ, ่ๅจ ไธๅๅนถไธๆฏ.
ๅจ ไธ, NBV + AC ็ๅฝๆฐๅฏ่ฟ็จ FTC. ่ๅจ bounded area ไธ AC ็ๅฝๆฐๅฐฑๅฏไปฅ่ฟ็จ FTC.
Homework 11: on regular Borel measure and functions of bounded variation (36/40)
Measurability of densities of measures
Suppose is a regular (positive) Borel measure on .
Prove that the functions and defined by
where denotes Lebesgue measure, are Borel measurable.
Prove that the set
is Borel measurable.
Give an example where .
Hint: we are taking the limsup over an uncountable set, so you probably need to use some properties of the functions and , in addition to properties of and .
of (a): We prove a lemma:
For regular positive Borel measure on , fixing , is Borel measurable.
Proof of Lemma: We recall
We define
which is a function from , and takes value between and .
Thus for ,
for ,
For , . Note this set is:
Since is continuous function, and
is open, since it is preimage of an open set, under a continuous function.
Thus
Thus is Borel measurable function, and since it is nonnegative, , thus by Tonelliโs Theorem,
finishing the proof of Lemma.
Define for
Notice that for each , is constant regardless of , so is Borel measurable as a product of a Boreal measurable function and a constant.
ย So
For fixed , we define , then for , we have
is Bore measurable, Thus is a Borel measurable function, then
is a Borel measurable function as limit of a seq of Borel measurable functions. ่ฟ้ๆณจๆ: Reducing limup (or liminf) over an uncountable sets to a countable one requires upper/lower semicontinuity. ๅ ่ๆไปฌ้่ฆ่ฏดๆไธไธ ๆฏ right ctn in r ็. Same trick is applied to . We set and have is Borel measurable, finishing the proof.
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of (b):
Notice:
if is a measurable space; are -measurable functions, then
is a -measurable function.
Proof of Lemma: We have shown in hw8 that, is an product measurable function if is measurable for each measurable rectangle .
And for measurable rectangle , we have:
proving the lemma.
And back to the original statement, we define:
Then we notice that
Since the diagonal is a closed set, it is a Borel set. And by lemma, is a Borel measurable function, implying that is Borel measurable.
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of (c): Consider
Set
Then we look at , we have:
So
is exactly the density of at , and we have shown in class that this limit does not exist, in the sense that its limsup is not equal to its liminf, i.e.
Here we explain it in detailed:
If we take for , we have:
Then for each ,
So for each ,
so we have:
But if we take , then for each ,
So for each ,
so we have:
Proving that
This serves as an counterexample of ( here)
Lebesgue decomposition
Let be a regular complex or finite signed Borel measure on , and let be its Lebesgue decomposition with respect to Lebesgue measure , so that and . Prove that the Lebesgue decomposition of the total variation measure with respect to is given by . In other words, prove that , , and .
Let and be positive, mutually singular Borel measures on . Prove that is regular iff and are both regular.
Remark: these results were used the the proof of Theorem 3.22 in Folland. Please donโt use any results fromย ยง7.
of (a): Recall that for two complex measures , we define they are mutually singular if:
We first show an equivalent form of it, for further use.
For two complex measures
Proof of the lemma: The second equivalence follows from definition (since total variation measure is positive), and the backward direction of the first equivalence follows from that the null set of the total variation measure is also the null set for original complex measure (thus null set for the positive and imaginary part).
For the forward direction of the first equivalence,
Define:
Since is a null set for , thus a null set for . And . Since these two are both null set for and union of null sets is null set, is also a null set for .
Similarly, is a null set for and is a null set for .
Thus, is a null set for , and is a null set for both and , thus a null set for .
This finishes the construction of , proving our lemma. Now we can apply the equivalent conditions of for positive, signed and complex measures.
Now we prove this statement which immediately implies what we want:
If complex measure and on the same measurable space are mutually singular, then
Proof of Proposition: Since , there exists a measurable set such that:
Let . Let .
Then
finishing the proof the the proposition.
Now we look back at the original statement: For Lebesgue decomposition , we have and . implies that there exists a measurable set such that:
Since , null sets of are also null sets of , thus . Thus we have
By our just proved proposition we have:
And it also follows from our lemma that
and is trivial, since and have the same null sets.
This finishes the proof that: if Lebesgue decomposition of is , then Lebesgue decomposition of the total variation measure with respect to is given by .
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of (b): First we show (:) if and are both regular then is regular.
Let be a Borel set. Since and are regular, we have:
Set , then
Also on the other direction,
Combining these two ineq chains, all inequalities is indeed equality. Thus we have
The first two equalities shows regularities, and the last equality shows finiteness. This finishes the proof of forward direction.
Next we show: (:) if is regular then and are both regular.
Let be a Borel set.
First, suppose is compact. Then . Notice, since are positive measures, , thus we sure have
This shows the local finiteness of . It remains to show the outer regularity of . (Note: local finiteness outer regularity is reached using tools in Ch7, so we still need to show outer regularity here; for local finiteness + outer regularity inner regularity, it have similar steps as Thm 1.18, so it is done.)
Since , there exists measurable s.t.
By outer regularity of , we can construct a seq of open sets s.t.
Thus we have
And notice that, for each ,
And for , similarly we have:
Since , we have , thus , and similarly .
Thus
Therefore
Since for each , this shows the outer regularity:
And dually, through exact same steps we can get:
finishing the proof.
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A convergence problem
Let . For , define as follows. For and , set
Prove that a.e.
Prove that in .
Hint: for (a), use the Lebesgue differentiability theorem; for (b) you may want to approximate by a nice function.
of (a):
Thus is the average of over the interval , where .
Fixing , for each we set for s.t. . Notice that for each ,
so this is well-defined.
And for each , we have
And
This shows that nicely shrinks to as . Then by LDT, we have
for -a.e. .
This finishes the proof.
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of (b): WTS:
Since , we can select a ctn compactly supported function (e.g., can take bump function) such that
Now define by averaging over the same intervals:
Then by tri eq on ,
First, by construction. Next, fixing , we write the value of over the interval as , and value of over the interval as . Then for each
Since , by Minkowskiโs ineq we then have:
This shows that, for every , we all have .
And finally for , since , by (a) we already have a.e.; and, since have compact support, say with and it is continuous on the compact support, it is uniformly continuous and bounded. Say for some .
Then the function on and on can serve as a dominating function for , with . Then by DCT, we have: in .
So for some , for all .
Therefore for all , we have:
This finishes the proof that
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Oscillations:
Define by for and . Prove that if is a compact interval, so that , then iff .
Define by for and . Prove that is differentiable everywhere (including at ) but that .
of (a):
We first verify (): if then .
We differentiate for :
WLOG suppose , then on we have:
Then for arbitrary division of , say , for all we have:
Thus
Taking sup over all partition of , proving that , proving that ; If then also, then , by same reasoning showing that .
Then we verify: (): if then . This is equiv to: if then .
Suppose then and , one of which is strict. WLOG we suppose .
Consider this seq:
we have:
For odd , , for even , .
Since , for some we have . Then we consider the partition: pick , and use as the partition points of .
Then we have
As , this sum , by the harmonic series. Then taking sup over all partitions, the sup is unbounded, showing that , thus . Same reasoning when we suppose is strict.
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of (b): For : is differentiable as the composition of two differentiable functions, thus differentiable; and is the product of differentiable functions, so is differentiable.
For :
Since , we get as , thus is differentiable at , and .
This proves that, is differentiable everywhere on .
Now we show that :
Consider this seq:
we have:
For odd , , for even , .
Notice that , so we then consider the partition: pick , and use as the partition points of .
Then we have
This sum is unbounded as by the harmonic series. Then taking sup over all partitions, the sup is unbounded, showing that .
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Everywhere unbounded variation
Construct a function (see HW9) such that does not have bounded variation on any interval with . Hint: construct based on functions like the ones in the previous problem.
We consider this function as the building block:
We know that, this function is continuous (we know in elementary real analysis course that it is true for , and as , so it is true all over the domain.) and similar reasoning as question 4(a), we can verift that, for any .
Also, it is clear that
Thus we have:
And notice this function has uniform bound : setting , so , and
So by translating, stretching and scaling it, we can define for each :
where we will delicately choose .
By defining the partial sum seq:
Then by geometric seq, such function is also uniformly bounded by , and it is continuous since it is finite sum of continuous functions, and also have as , so for each we have . And is an increasing seq (not really), so define:
Then uniformly as . This is since is uniformly bounded by : For , there exists s.t. , and then for all , we have
Thus, we also have
since it is uniform limit of continuous functions, and the limit to remains . This is regardless of the choice of for each .
Then, to finish the construction, it remains for us to choose for each , to let have the property that does not have bounded variation on any compact interval.
Let be the enumeration of a dense subset of . e.g. Let it be the enumeration of .
We inductively pick : for each , we pick s.t. for all , we have and .
Now let be an arbitrary compact interval. WTS: .
By density of the seq, there exists such that .
We consider the subinterval:
This construction ensures that the will not have some offsetting variation such to make the variation of interfered (suspectively finite): for each and , we have:
since . This is by question 4(a). This means that we can ignore these terms when showing .
And for we know that
since , as verified by question 4(a).
And for the rest , their total variation contributed to this the total variation of on is at most a half of (by geometric seq).
Thus the only term matters is . Since , we have , thus since .
This finishes the proof.
(Rigorous reasoning is as question 4, we construct partitions to apply harmonic seq to the variation by the partition, and can at most halve it, which does not matter.)
Homework 12: on absolutely continuous functions (40/40)
Some of the following questions will be graded. Do them, and do hand them in.
Terminologies ็ communication:
Let be a function in NBV. Prove that total variation of the complex measure associated to is the complex measure associated to the total variation of . In other words, prove that . Hint: see Exercise 28 in Chapter 3 of [Folland]; proofs by terminology alone are not valid.
Set:
Claim 1: It suffices to show that .
Proof of Claim 1: Since , is then a complex (regular) Borel measure, as we have shown in class; And by def, where , thus is also a complex (regular) Borel measure since it is finite.
Thus and its association with is unique. if , it is then also uniquely associated with , which implies that .
Claim 2: Indeed.
Proof of Claim 2:
First we verity that :
By def:
This proves this direction.
Then we verity that :
Claim 2.1: for all borel set .
First, for h-interval , we have:
Also for intervals like , we have
Thus is true for all left-open, right-closed intervals , and thus also true for all finite disjoint unions of left-open, right-closed intervals. Notice that, the set of all finite disjoint unions of left-open, right-closed intervals is an algebra, we denote it by . So
Now we define:
Then we have:
Notice that increasing sequence in , we have:
Showing that is closed under countable increasing unions. Similarly, is closed under countable decreasing intersections. This shows that is a monotone class. Since which is an algebra that generates the -algebra , we have by the monotone class lemma:
This finishes the proof that for all borel set .
Then we have:
Therefore we have
Combining both directions we have
which shows by Claim 1 that
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Characterization of Lipschitz continuity: + bounded derivativeLipschitz continuity:
Consider a function . Show that for all (i.e. is Lipschitz continuous with Lipschitz constant at most ) iff is absolutely continuous, and for Lebesgue a.e.ย .
Forward Direction (): Suppose is Lipschitz continuous, and take Lipschitz constant such that for all .
Let .
Let be a finite collection of disjoint intervals with then we have:
This shows that is absolutely continuous. And since is absolutely continuous, its restriction on any compact interval is of bounded variation, thus differentiable a.e.; thus is differentiable -a.e.
Then for -a.e. , we have:
This finishes the proof of the forward direction.
Backward Direction (): Suppose is absolutely continuous, and for -a.e.ย .
Let and then on we have:
Therefore is Lipschitz continuous with Lipschitz constant .
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function ไฟ็ null sets
Let be an absolutely continuous function. Prove that maps null sets to null sets. In other words, if is a set of Lebesgue measure zero, then is also of Lebesgue measure zero. (In particular, is Lebesgue measurable, cf.ย HW4#6.)
Fix abs ctn, and s.t. .
Let .
Since , there exists some s.t. for any disjoint intervals s.t. , we have: .
Fix this . Since , there exists finite collection of bounded open intervals such that
with
Notice that, though these open intervals are not necessarily disjoint, but finite union of bounded open intervals can be expressed as finite union of disjoint open intervals. We just need to connect those open intervals that has intersection.
By doing this, we get some disjoint intervals from , with
and (since new intervals remove the intersection part and keep the union:)
Now we can apply the absolute continuity. Since , it is continuous for sure. Thus on , it takes max and min value respectively on some . Then
So
This is by the intermediate value theorem. We denote the open interval using as endpoints as . We then have .
Thus
and by abs ctnity, we have :
Since , we have
so we then have
Since is arbitrary, this finishes the proof that
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function ๆฏ็น็ left right limit ไธๅฎๅญๅจ
Prove directly from the definition that if is a function of bounded variation, then admits a left and a right limit at every point. In other words, for any , the limits
both exist. Do not use the Jordan decomposition. Hint: as is often the case, limits can be studied through limsup and liminf.
Let be a function of bounded variation, fix .
Define
Then we have . We will show .
Let .
Suppose for contradiction that .
Let be a seq. By the def of limsup and lininf, there must exists a subseq such that for some , we have:
And there must exists a subseq such that for some , we have:
Then for all we have:
Notice: for any and given start , there exists some s.t.
This is because as .
And this is same on the side.
Thus, by picking , we can pick s.t. , and then pick s.t. ; and inductively, for the pick of , we can always pick s.t. an then pick .
We do this process to get the finite seq for some int . Then we have:
As , we have . Thus by def, , contradicting the assumption that is a function of bounded variation.
Thus by contradiction, it shows that
Since and is arbitrary, this finishes the proof that
Since we have , we then have:
By same reasoning, we can get that
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ๅฝๆฐ็ๅฏผๆฐ็ปๅฏนๅผ็ๆป็งฏๅไธบ
Let be an absolutely continuous function. Assume that , and that
Prove that . Hint: consult Fatou Samba but ignore any dance moves.
We define:
Since , we have that exists a.e., thus by def of derivative we have: So we take a seq of functions , we then have:
Notice we are given the condition that:
Since fixing , and are measurable functions, is also measurable, and thus for each . (we can ignore the points where the limit does not exist, since the set of these points has Lebesgue measure .)
Applying Fatouโs Lemma we have:
Since and are nonnegative, we have:
Thus
Since by AC, we can apply FTC: Let be an arbitrary interval, then by FTC we have:
Thus
Since the interval is arbitrary, this proves: is a constant function. (By taking over , we can get for all .)
Suppose for contradiction that , then
contradicting , thus we have
This finishes the proof.
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13 the dual of spaces
13.1 the dual of -I [Fol 6.2]
ๅฏนๅบ: Folland 5.1, 6.2.
(ๅๆฌ่ฟๆฏๅจ lec 25 ็ไฝ็ฝฎ่ฎฒ็, ไฝๆฏๅฝๆถ็ฑไบๆฒกๆ Radon-Nikodym Thm, ๆฒกๆ่ถณๅค็ๅทฅๅ
ทๅปๅฎๆ
็่ฏๆ (ๅทฎไบไธไธช proof surjectivity of the isometry ). ๅ ่ๆๆๅฎๆพๅจ่ฟ้, ่กๆฅไธ้ขๅ ไธช lectures, ๅฎๆ 6.2 ่ฟไธ่.
ๆไปฌ้ฆๅ
็ปไน ไธไธช example of Hรถlderโs ineq ๆฅๅๅฟไธไธ:
recall Hรถlderโs ineq: for
Prove:
Apply Hรถlderโs: ๆข็ถ , ้ฃไนๆไปฌๅฐฑๆๆปก, take , correspondingly :
both integrals evaluate
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13.1.1 intro to dual space
่ฟ้ๅช่ฎจ่ฎบ or .
recall, ๅฏนไบไธไธช -vector space , ไธไธช linear functional of ๅฐฑๆฏไธไธช linear function
ๅฏนไบไฝไธบ NVS ็ , ๆไปฌ่ฟๅฏไปฅๅฎไนไธไธช linear functional ็ boundedness.
Let be a -NVS, be a linear functional.
ๆไปฌ็งฐ bounded, if exist s.t.
if is a linear functional, TFAE:
bounded
continuous
continuous at
(ii) to (iii): trivial.
(i) to (ii): ๅ่ฎพ bounded, ้ฃไนๅฏไปฅ pick s.t. .
Pick . Set . Then
ไป่ ctn.
(iii) to (i): s.t. .
ไบๆฏ , ้ฝๆ
taking , ๅพๅฐ boundedness.
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If is a NVS, ๆไปฌๅฎไนๅฎ็ dual space as:
Given , set
where ่กจ็คบ็ๆฏ ไธไฝฟ็จ็ norm. ่ฟไธช norm ่ขซ็งฐไธบ dual norm.
่ฟไธชๅฝขๅผๆฏๆไปฌๅจๅ็งๅฐๆน่ง่ฟ้ๅธธๅคๆฌก็ operator norm, ๅชไธ่ฟ่ฟ้, ๆๅฎไธไธช NVS, ๅฏนไบๅ ถ dual space ไธ็ linear functional, ๅฎๆฏๅบๅฎ็, ไธ้่ฆๆๅฎ ๅ ไฝฟ็จๅชไธช norm, ๅ ไธบ ๅฐฑๆฏๆ ้, ่ from ๅ NVS, ๅทฒ็ปๆๅฎๅฅฝ norm.
13.1.2 being a Banach space
ๅฏนไบไปปๆ็ NVS : ้ฝๆฏไธไธช Banach space. (not assuming Banach).
First we can confirm is a VS, ๅ ไธบๅฎ็ฑ linear functions of the same size ็ปๆ.
Claim 1: ๆฏไธไธช NVS.
ๅ ไธบไปปๅ ้ฝๆ , ไป่
ไปฅๅ
ๅ ่
ไธ้ขๆไปฌ verify Banach.
Claim 2: ไธไธช Cauchy seq in ไธๅฎ pointwise converge to some .
Pick , ไธไธช Cauchy seq in . Let , ๅญๅจ ไฝฟๅพๅฏนไบไปปๆ ้ฝๆ , ๆไปฌ็ฎๅไธบ:
ๅ ่ๅฏนไบไปปๆ , we have
ๅนถไธๆไปฌ็ฅ้ ๆฏ complete ็, ๅ ่ converges in to some element, declared to be .
ๅณ pointwisely:
(่ฟๆฏ่ช็ถ็, ๅ ไธบๅฆๆ linear function ็ operator norm ๆฏ , ้ฃไน่ฏดๆๅฎไปฌๆฏซๆ ๅทฎๅซ, ๅฆๅไธๅฎๆๆไธชๅฐๆน ็ image ไธไธๆ ท, ไฝฟๅพ่ฟไธช norm ไธๆฏ .)
Claim 3: ๆฏ linear ็, ๅนถไธ bounded (ไป่ ctn), ๅณ .
linearity: ็ฑไบๆฏไธช ้ฝๆฏ linear ็,
ๅ ่
ๅ ๆญค ๆฏ็บฟๆง็.
(Note: ่ฟ้่ฏๆไบ linear map ็ pointwise ๆ้ไธๅฎไนๆฏ linear map.)
Boundedness: Note a standard fact from metric spaces: every Cauchy sequence is bounded.
ๅ ่ ๆฏไธไธช bounded seq, ๅณๅญๅจ such that for all . Then
Hence is bounded (continuous), and . Claim 4: , proving ๆฏ Banach ็. WTS:
//TO BE DONE.
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Actually ่ฟไธช Theorem ๆๆด general ็ๅฝขๅผ:
ๅฏนไบไปปๆ nvm ๅ Banach , ไธๅฎๆฏ Banach ็.
Proof ่ง Folland 5.4.
13.1.3 ,
For with , we have:
In particular the Hilbert space:
Define map
where
It is well-defined by Hรถlder:
and
Easy:
Also
Thus
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