Difference between revisions of "Extending pre-measures to outer-measures"

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m (Saving work)
(Proof: Adding sigma-subadditive part.)
 
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**# '''Part 2:''' {{M|\bar{\mu}(A)\le\mu^*(A)}}
 
**# '''Part 2:''' {{M|\bar{\mu}(A)\le\mu^*(A)}}
 
**#* SEE NOTEPAD. Define {{M|1=\gamma_A:=\left\{\bar{\mu}(A)\right\} }}, then using [[the (pre-)measure of a set is no more than the sum of the (pre-)measures of the elements of a covering for that set]] we see {{M|\forall x\in\beta_A\exists y\in\gamma_A[y\le x]}} - we may now [[passing to the infimum|pass to the infimum]].
 
**#* SEE NOTEPAD. Define {{M|1=\gamma_A:=\left\{\bar{\mu}(A)\right\} }}, then using [[the (pre-)measure of a set is no more than the sum of the (pre-)measures of the elements of a covering for that set]] we see {{M|\forall x\in\beta_A\exists y\in\gamma_A[y\le x]}} - we may now [[passing to the infimum|pass to the infimum]].
 +
===Proof that {{M|\mu^*}} is {{sigma|subadditive}}===
 +
*Let {{MSeq|A_n|in=\mathcal{H}_{\sigma R}(\mathcal{R})}} be given. We want to show that {{M|1=\mu^*(\bigcup_{n=1}^\infty A_n)\le\sum^\infty_{n=1}\mu^*(A_n)}}
 +
** Let {{M|\epsilon>0}} (with {{M|\epsilon\in\mathbb{R} }}) be given.
 +
*** We will now define a new family of {{plural|sequence|s}}. For each {{M|A_n}} we will construct the sequence {{MSeq|A_{nm}|m|in=\mathcal{R} }} of sets such that:
 +
***# {{M|1=\forall n\in\mathbb{N}[A_n\subseteq\bigcup_{m=1}^\infty A_{nm}]}} and
 +
***# {{M|1=\forall n\in\mathbb{N}[\sum^\infty_{m=1}\bar{\mu}(A_{nm})\le\mu^*(A_n)+\epsilon\frac{1}{2^n}]}}
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*** Let {{M|n\in\mathbb{N} }} be given (we will now define {{MSeq|A_{mn}|m|in=\mathcal{R} }})
 +
**** Recall that {{M|1=\mu^*(A_n):=\text{inf}(\beta_{A_n})}}
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**** Any value greater than the [[infimum|{{M|\text{inf}(\beta_{A_n})}}]], say {{M|w}}, is not a [[lower bound]] so there must exist an element in {{M|\beta_{A_n} }} less that {{M|w}} (so {{M|w}} cannot be a lower bound)
 +
***** Choose {{M|1=w:=\text{inf}(\beta_{A_n})+\frac{\epsilon}{2^n} }}
 +
****** As {{M|\epsilon>0}} and {{M|\frac{1}{2^n}>0}} we see {{M|\frac{\epsilon}{2^n}>0}}, thus {{M|\mu^*(A_n)<\mu^*(A_n)+\frac{\epsilon}{2^n} }}
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**** By the definition of [[infimum]]:
 +
***** {{M|1=\exists s\in\beta_{A_n}[w>\text{inf}(\beta_{A_n})\implies s< w]}}
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**** If {{M|s\in\beta_{A_n} }} then:
 +
***** {{M|1=\exists(B_n)_{n=1}^\infty\in\alpha_{A_n} }} such that {{M|1=s=\sum^\infty_{n=1}\bar{\mu}(B_n)}}.
 +
**** As {{M|1=s<w=\text{inf}(\beta_{A_n})+\frac{\epsilon}{2^n}=\mu^*(A_n)+\frac{\epsilon}{2^n} }} and {{M|1=s=\sum^\infty_{n=1}\bar{\mu}(B_n)}} we see:
 +
***** {{M|1=\sum^\infty_{n=1}\bar{\mu}(B_n)<\mu^*(A_n)+\frac{\epsilon}{2^n} }}
 +
**** {{Caution|1=This doesn't show that {{MM|1=A_n\subseteq\bigcup_{m=1}^\infty A_{nm} }} - don't forget!}}
 +
**** Define a new sequence, {{MSeq|A_{nm}|m|in=\mathcal{R} }} to be the sequence {{MSeq|B_n|post=\in\alpha_{A_n} }} we just showed to exist
 +
*** Since {{M|n\in\mathbb{N} }} was arbitrary for each {{M|1=A_n\in(A_k)_{k=1}^\infty\subseteq\mathcal{H}_{\sigma R}(\mathcal{R})}} we now have a new sequence: {{MSeq|A_{nm}|m|in=\mathcal{R} }} such that:
 +
**** {{MM|1=\forall n\in\mathbb{N}\left[\sum^\infty_{m=1}\bar{\mu}(A_{nm})<\mu^*(A_n)+\frac{\epsilon}{2^n}\right]}} and {{MM|1=\forall n\in\mathbb{N}\left[A_n\subseteq\bigcup_{m=1}^\infty A_{nm}\right]}}
 +
*** Recall now that a [[union of subsets is a subset of the union]], thus:
 +
**** {{MM|1=\bigcup_{n=1}^\infty A_n\subseteq \bigcup_{n=1}^\infty\left(\bigcup_{m=1}^\infty A_{nm}\right)}}
 +
*** So {{MM|1=\mu^*\left(\bigcup_{n=1}^\infty A_n\right)\le\sum^\infty_{n=1}\left(\sum_{m=1}^\infty \bar{\mu}(A_{nm})\right)<\sum_{n=1}^\infty\left(\mu^*(A_n)+\frac{\epsilon}{2^n}\right)}}{{MM|1==\sum^\infty_{n=1}\mu^*(A_n)+\sum^\infty_{n=1}\frac{\epsilon}{2^n} }}
 +
**** Note that {{M|1=\sum^\infty_{n=1}\frac{\epsilon}{2^n}=\epsilon\sum^\infty_{n=1}\frac{1}{2^n} }} and that {{M|1=\frac{1}{2}+\frac{1}{4}+\frac{1}{8}+\frac{1}{16}+\cdots}} is a classic example of a [[geometric series]], we see easily that:
 +
***** {{M|1=\epsilon\sum^\infty_{n=1}\frac{1}{2^n}=1\epsilon=\epsilon}} thus:
 +
*** {{MM|1=\mu^*\left(\bigcup_{n=1}^\infty A_n\right)<\sum^\infty_{n=1}\mu^*(A_n)+\epsilon}}
 +
** Since {{M|\epsilon>0}} (with {{M|\epsilon\in\mathbb{R} }} was arbitrary we see:
 +
*** {{M|1=\forall\epsilon>0\left[\mu^*\left(\bigcup_{n=1}^\infty A_n\right)<\sum^\infty_{n=1}\mu^*(A_n)+\epsilon\right]}}
 +
** Recall that {{M|1=\left(\forall\epsilon>0[a<b+\epsilon]\right)\iff\left(a\le b\right)}} (from the [[epsilon form of inequalities]])
 +
** Thus: {{MM|1=\mu^*\left(\bigcup_{n=1}^\infty A_n\right)\le\sum^\infty_{n=1}\mu^*(A_n)}}
 +
* Since {{MSeq|A_n|in=\mathcal{H}_{\sigma R}(\mathcal{R})}} was arbitrary we have shown that:
 +
** {{MM|1=\forall(A_n)_{n=1}^\infty\subseteq\mathcal{H}_{\sigma R}(\mathcal{R})\left[\mu^*\left(\bigcup_{n=1}^\infty A_n\right)\le\sum^\infty_{n=1}\mu^*(A_n)\right]}}
 +
This completes the proof that {{M|\mu^*}} is {{sigma|subadditive}}
 +
====Caveats====
 +
# Halmos starts with a set {{M|A\in\mathcal{H}_{\sigma R}(\mathcal{R})}} and a [[sequence]] {{MSeq|A_n|in=\mathcal{H}_{\sigma R}(\mathcal{R})}} such that:
 +
#* {{M|1=A\subseteq\bigcup_{n=1}^\infty A_n}}
 +
#: where as I just start with a sequence, as {{M|\mathcal{H}_{\sigma R}(\mathcal{R})}} is a [[sigma-algebra|{{sigma|algebra}}]], their union is also in {{M|\mathcal{H}_{\sigma R}(\mathcal{R})}}
 +
# {{Warning|I never consider the case where a measure measures a set to be infinite. Where this happens things like {{M|\infty<\infty}} make no sense}}
 +
===The rest===
 +
Still to do:
 +
# {{M|\mu^*}} being monotonic with respect to set inclusion and the usual ordering on the reals.
 +
# {{M|1=\mu^*(\emptyset)=0}} - this can come from the extension part as {{M|\bar{\mu} }} has this property already
 +
 
==Notes==
 
==Notes==
 
<references group="Note"/>
 
<references group="Note"/>

Latest revision as of 16:59, 17 August 2016

Caution:This page is currently being written and is not ready for being used as a reference, it's a notes quality page

Statement

Given a pre-measure, ˉμ, on a ring of sets, R, we can define a new function, μ which is[1]:

Given by:

  • μ:HσR(R)ˉR0
    • μ:Ainf{n=1ˉμ(An)|(An)n=1RAn=1An} - here inf denotes the infimum of a set.

The statement of the theorem is that this μ is indeed an outer-measure

Proof

[Expand]

Proof notes

[Expand]

Recall the definition of an outer-measure, we must show μ satisfies this.

For brevity we define the following shorthands:

  1. αA:={(An)n=1 | (An)n=1RAn=1An}
  2. βA:={n=1ˉμ(An) | (An)n=1αA}

Now we may define μ as:

  • μ:Ainf(βA)

Proof that μ is an extension of ˉμ

  • Let AR be given
    • In order to prove ˉμ(A)=μ(A) we need only prove [ˉμ(A)μ(A)ˉμ(A)μ(A)][Note 1]
      1. Part 1: ˉμ(A)μ(A)
        • Consider the sequence (An)n=1 given by A1:=A and Ai:= for i>1, so the sequence A,,,.
          • Clearly An=1An (as n=1An=A)
          • As such this (An)n=1αA
          • This means n=1ˉμ(An)βA (as (An)n=1αA and βA is the sum of all the pre-measures Template:WRT ˉμ of the sequences of sets in αA)
          • Recall that the infimum of a set is, among other things, a lower bound of the set. So:
            • for inf(S) (for a set, S) we see:
              • sS[inf(S)s] - this uses only the lower bound part of the infimum definition.
          • By applying this to inf(βA)(=μ(A)) we see:
            • μ(A):=inf(βA)n=1ˉμ(An)=ˉμ(A)
              • as n=1ˉμ(An)βA and inf(S) remember and
              • By definition of a (pre-)measure, μ()=0, so: n=1ˉμ(An)=ˉμ(A)+ˉμ()+ˉμ()+=ˉμ(A)
        • We have shown μ(A)ˉμ(A) as required
      2. Part 2: ˉμ(A)μ(A)

Proof that μ is σ-subadditive

  • Let (An)n=1HσR(R) be given. We want to show that μ(n=1An)n=1μ(An)
    • Let ϵ>0 (with ϵR) be given.
      • We will now define a new family of sequences. For each An we will construct the sequence (Anm)m=1R of sets such that:
        1. nN[Anm=1Anm] and
        2. nN[m=1ˉμ(Anm)μ(An)+ϵ12n]
      • Let nN be given (we will now define (Amn)m=1R)
        • Recall that μ(An):=inf(βAn)
        • Any value greater than the inf(βAn), say w, is not a lower bound so there must exist an element in βAn less that w (so w cannot be a lower bound)
          • Choose w:=inf(βAn)+ϵ2n
            • As ϵ>0 and 12n>0 we see ϵ2n>0, thus μ(An)<μ(An)+ϵ2n
        • By the definition of infimum:
          • sβAn[w>inf(βAn)s<w]
        • If sβAn then:
          • (Bn)n=1αAn such that s=n=1ˉμ(Bn).
        • As s<w=inf(βAn)+ϵ2n=μ(An)+ϵ2n and s=n=1ˉμ(Bn) we see:
          • n=1ˉμ(Bn)<μ(An)+ϵ2n
        • Caution:This doesn't show that Anm=1Anm - don't forget!
        • Define a new sequence, (Anm)m=1R to be the sequence (Bn)n=1αAn we just showed to exist
      • Since nN was arbitrary for each An(Ak)k=1HσR(R) we now have a new sequence: (Anm)m=1R such that:
        • nN[m=1ˉμ(Anm)<μ(An)+ϵ2n] and nN[Anm=1Anm]
      • Recall now that a union of subsets is a subset of the union, thus:
        • n=1Ann=1(m=1Anm)
      • So μ(n=1An)n=1(m=1ˉμ(Anm))<n=1(μ(An)+ϵ2n)=n=1μ(An)+n=1ϵ2n
        • Note that n=1ϵ2n=ϵn=112n and that 12+14+18+116+ is a classic example of a geometric series, we see easily that:
          • ϵn=112n=1ϵ=ϵ thus:
      • μ(n=1An)<n=1μ(An)+ϵ
    • Since ϵ>0 (with ϵR was arbitrary we see:
      • ϵ>0[μ(n=1An)<n=1μ(An)+ϵ]
    • Recall that (ϵ>0[a<b+ϵ])(ab) (from the epsilon form of inequalities)
    • Thus: μ(n=1An)n=1μ(An)
  • Since (An)n=1HσR(R) was arbitrary we have shown that:
    • (An)n=1HσR(R)[μ(n=1An)n=1μ(An)]

This completes the proof that μ is σ-subadditive

Caveats

  1. Halmos starts with a set AHσR(R) and a sequence (An)n=1HσR(R) such that:
    • An=1An
    where as I just start with a sequence, as HσR(R) is a σ-algebra, their union is also in HσR(R)
  2. Warning:I never consider the case where a measure measures a set to be infinite. Where this happens things like < make no sense

The rest

Still to do:

  1. μ being monotonic with respect to set inclusion and the usual ordering on the reals.
  2. μ()=0 - this can come from the extension part as ˉμ has this property already

Notes

  1. Jump up This is called the trichotomy rule or something, I should link to the relevant part of a partial order here

References

  1. Jump up to: 1.0 1.1 1.2 Measure Theory - Paul R. Halmos