Difference between revisions of "Extending pre-measures to outer-measures"
From Maths
(Created page with "==Statement== Given a pre-measure, {{M|\bar{\mu} }}, on a ring of sets, {{M|\mathcal{R} }}, we can define a new function, {{M|\mu^*}} which is{{rMTH}}: * an exte...") |
(→Proof: Adding sigma-subadditive part.) |
||
(5 intermediate revisions by the same user not shown) | |||
Line 1: | Line 1: | ||
+ | : {{Caution|This page is currently being written and is not ready for being used as a reference, it's a ''notes quality'' page}} | ||
==Statement== | ==Statement== | ||
Given a [[pre-measure]], {{M|\bar{\mu} }}, on a [[ring of sets]], {{M|\mathcal{R} }}, we can define a new [[function]], {{M|\mu^*}} which is{{rMTH}}: | Given a [[pre-measure]], {{M|\bar{\mu} }}, on a [[ring of sets]], {{M|\mathcal{R} }}, we can define a new [[function]], {{M|\mu^*}} which is{{rMTH}}: | ||
Line 5: | Line 6: | ||
Given by: | Given by: | ||
* {{M|\mu^*:\mathcal{H}_{\sigma_R}(\mathcal{R})\rightarrow\bar{\mathbb{R} }_{\ge0} }} | * {{M|\mu^*:\mathcal{H}_{\sigma_R}(\mathcal{R})\rightarrow\bar{\mathbb{R} }_{\ge0} }} | ||
− | ** {{MM|1=\mu^*:A\mapsto\text{inf}\left\{\left.\sum^\infty_{n=1}\bar{\mu}(A_n)\right\vert(A_n)_{n=1}^\infty\subseteq\mathcal{R}\wedge A\subseteq\bigcup_{n=1}^\infty A_n\right\} }} | + | ** {{MM|1=\mu^*:A\mapsto\text{inf}\left\{\left.\sum^\infty_{n=1}\bar{\mu}(A_n)\right\vert(A_n)_{n=1}^\infty\subseteq\mathcal{R}\wedge A\subseteq\bigcup_{n=1}^\infty A_n\right\} }} - here {{M|\text{inf} }} denotes the [[infimum]] of a set. |
The statement of the theorem is that this {{M|\mu^*}} is indeed an [[outer-measure]] | The statement of the theorem is that this {{M|\mu^*}} is indeed an [[outer-measure]] | ||
==Proof== | ==Proof== | ||
+ | {{Begin Inline Theorem}} | ||
+ | Proof notes | ||
+ | {{Begin Inline Proof}} | ||
{{Begin Notebox}} | {{Begin Notebox}} | ||
Recall the definition of an [[outer-measure]], we must show {{M|\mu^*}} satisfies this. | Recall the definition of an [[outer-measure]], we must show {{M|\mu^*}} satisfies this. | ||
Line 26: | Line 30: | ||
#*#* 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]], which states, symbolically: | #*#* 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]], which states, symbolically: | ||
#*#** Given a set {{M|A}} and a [[countably infinite]] or [[finite]] ''[[sequence]]'' of sets, {{M|(A_i)}} such that {{M|A\subseteq\bigcup_i A_i}} then {{M|\bar{\mu}(A)\le\sum_i\bar{\mu}(A_i)}} | #*#** Given a set {{M|A}} and a [[countably infinite]] or [[finite]] ''[[sequence]]'' of sets, {{M|(A_i)}} such that {{M|A\subseteq\bigcup_i A_i}} then {{M|\bar{\mu}(A)\le\sum_i\bar{\mu}(A_i)}} | ||
− | #*#* ''' | + | #*#* By [[passing to the infimum]] we see that {{M|\bar{\mu}(A)\le\mu^*(A)}} as required. |
− | {{ | + | |
+ | '''Problems with proof''' | ||
+ | * How do we know the [[infimum]] even exists! | ||
+ | ** Was being silly, any set of real numbers bounded below has an infimum, as {{M|\bar{\mu}:\mathcal{R}\rightarrow\bar{\mathbb{R} }_{\ge 0} }} we see that {{M|-1}} is a lower bound for example. Having a lot of silly moments lately. | ||
+ | * For the application of ''[[passing to the infimum]]'' how do we know that the [[infimum]] involving {{M|\bar{\mu} }} even exists (this probably uses [[monotonic|monotonicity]] of {{M|\bar{\mu} }} and should be easy to show) | ||
+ | {{End Proof}}{{End Theorem}} | ||
+ | {{Begin Notebox}} | ||
+ | Recall the definition of an [[outer-measure]], we must show {{M|\mu^*}} satisfies this. | ||
+ | {{Begin Notebox Content}} | ||
+ | {{:Outer-measure/Definition}} | ||
+ | {{End Notebox Content}}{{End Notebox}} | ||
+ | For brevity we define the following shorthands: | ||
+ | # {{MM|1=\alpha_A:=\left\{(A_n)_{n=1}^\infty\ \Big\vert\ (A_n)_{n=1}^\infty\subseteq\mathcal{R}\wedge A\subseteq\bigcup_{n=1}^\infty A_n\right\} }} | ||
+ | # {{MM|1=\beta_A:=\left\{\sum^\infty_{n=1}\bar{\mu}(A_n)\ \Big\vert\ (A_n)_{n=1}^\infty\in\alpha_A \right\} }} | ||
+ | Now we may define {{M|\mu^*}} as: | ||
+ | * {{M|1=\mu^*:A\mapsto\text{inf}(\beta_A)}} | ||
+ | ===Proof that {{M|\mu^*}} is an extension of {{M|\bar{\mu} }}=== | ||
+ | * Let {{M|A\in\mathcal{R} }} be given | ||
+ | ** In order to prove {{M|1=\bar{\mu}(A)=\mu^*(A)}} we need only prove {{M|[\bar{\mu}(A)\ge\mu^*(A)\wedge\bar{\mu}(A)\le\mu^*(A)]}}<ref group="Note">This is called the trichotomy rule or something, I should link to the relevant part of a [[partial order]] here</ref> | ||
+ | **# '''Part 1: ''' {{M|\bar{\mu}(A)\ge\mu^*(A)}} | ||
+ | **#* Consider the sequence {{MSeq|A_n}} given by {{M|1=A_1:=A}} and {{M|1=A_i:=\emptyset}} for {{M|i>1}}, so the sequence {{M|A,\emptyset,\emptyset,\ldots}}. | ||
+ | **#** Clearly {{M|1=A\subseteq\bigcup^\infty_{n=1}A_n}} (as {{M|1=\bigcup^\infty_{n=1}A_n=A}}) | ||
+ | **#** As such this {{MSeq|A_n|post=\in\alpha_A}} | ||
+ | **#** This means {{M|1=\sum^\infty_{n=1}\bar{\mu}(A_n)\in\beta_A}} (as {{MSeq|A_n|post=\in\alpha_A}} and {{M|\beta_A}} is the sum of all the pre-measures {{WRT}} {{M|\bar{\mu} }} of the sequences of sets in {{M|\alpha_A}}) | ||
+ | **#** Recall that the [[infimum]] of a set is, among other things, a [[lower bound]] of the set. So: | ||
+ | **#*** for {{M|\text{inf}(S)}} (for a [[set]], {{M|S}}) we see: | ||
+ | **#**** {{M|\forall s\in S[\text{inf}(S)\le s]}} - this uses only the [[lower bound]] part of the [[infimum]] definition. | ||
+ | **#** By applying this to {{M|1=\text{inf}(\beta_A)\big(=\mu^*(A)\big)}} we see: | ||
+ | **#*** {{M|1=\mu^*(A):=\text{inf}(\beta_A)\le\sum^\infty_{n=1}\bar{\mu}(A_n)=\bar{\mu}(A)}} | ||
+ | **#**** as {{M|1=\sum^\infty_{n=1}\bar{\mu}(A_n)\in\beta_A}} and {{M|\text{inf}(S)}} remember and | ||
+ | **#**** By definition of a (''[[pre-measure|pre]]''-)[[measure]], {{M|1=\mu(\emptyset)=0}}, so: {{M|1=\sum^\infty_{n=1}\bar{\mu}(A_n)=\bar{\mu}(A)+\bar{\mu}(\emptyset)+\bar{\mu}(\emptyset)+\cdots=\bar{\mu}(A)}} | ||
+ | **#* We have shown {{M|1=\mu^*(A)\le\bar{\mu}(A)}} as required | ||
+ | **# '''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]]. | ||
+ | ===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}]}} | ||
+ | *** 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})}} | ||
+ | **** 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} }} | ||
+ | **** By the definition of [[infimum]]: | ||
+ | ***** {{M|1=\exists s\in\beta_{A_n}[w>\text{inf}(\beta_{A_n})\implies s< w]}} | ||
+ | **** 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== | ||
+ | <references group="Note"/> | ||
==References== | ==References== | ||
<references/> | <references/> | ||
{{Measure theory navbox|plain}} | {{Measure theory navbox|plain}} | ||
{{Theorem Of|Measure Theory}} | {{Theorem Of|Measure Theory}} |
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
Contents
[hide]Statement
Given a pre-measure, \bar{\mu} , on a ring of sets, \mathcal{R} , we can define a new function, \mu^* which is[1]:
- an extension of \bar{\mu} and
- an outer-measure (on the hereditary \sigma-ring generated by \mathcal{R} , written \mathcal{H}_{\sigma_R}(\mathcal{R}))
Given by:
- \mu^*:\mathcal{H}_{\sigma_R}(\mathcal{R})\rightarrow\bar{\mathbb{R} }_{\ge0}
- \mu^*:A\mapsto\text{inf}\left\{\left.\sum^\infty_{n=1}\bar{\mu}(A_n)\right\vert(A_n)_{n=1}^\infty\subseteq\mathcal{R}\wedge A\subseteq\bigcup_{n=1}^\infty A_n\right\} - here \text{inf} denotes the infimum of a set.
The statement of the theorem is that this \mu^* is indeed an outer-measure
Proof
[Expand]
Proof notes
[Expand]
Recall the definition of an outer-measure, we must show \mu^* satisfies this.
For brevity we define the following shorthands:
- \alpha_A:=\left\{(A_n)_{n=1}^\infty\ \Big\vert\ (A_n)_{n=1}^\infty\subseteq\mathcal{R}\wedge A\subseteq\bigcup_{n=1}^\infty A_n\right\}
- \beta_A:=\left\{\sum^\infty_{n=1}\bar{\mu}(A_n)\ \Big\vert\ (A_n)_{n=1}^\infty\in\alpha_A \right\}
Now we may define \mu^* as:
- \mu^*:A\mapsto\text{inf}(\beta_A)
Proof that \mu^* is an extension of \bar{\mu}
- Let A\in\mathcal{R} be given
- In order to prove \bar{\mu}(A)=\mu^*(A) we need only prove [\bar{\mu}(A)\ge\mu^*(A)\wedge\bar{\mu}(A)\le\mu^*(A)][Note 1]
- Part 1: \bar{\mu}(A)\ge\mu^*(A)
- Consider the sequence ({ A_n })_{ n = 1 }^{ \infty } given by A_1:=A and A_i:=\emptyset for i>1, so the sequence A,\emptyset,\emptyset,\ldots.
- Clearly A\subseteq\bigcup^\infty_{n=1}A_n (as \bigcup^\infty_{n=1}A_n=A)
- As such this ({ A_n })_{ n = 1 }^{ \infty } \in\alpha_A
- This means \sum^\infty_{n=1}\bar{\mu}(A_n)\in\beta_A (as ({ A_n })_{ n = 1 }^{ \infty } \in\alpha_A and \beta_A is the sum of all the pre-measures Template:WRT \bar{\mu} of the sequences of sets in \alpha_A)
- Recall that the infimum of a set is, among other things, a lower bound of the set. So:
- for \text{inf}(S) (for a set, S) we see:
- \forall s\in S[\text{inf}(S)\le s] - this uses only the lower bound part of the infimum definition.
- for \text{inf}(S) (for a set, S) we see:
- By applying this to \text{inf}(\beta_A)\big(=\mu^*(A)\big) we see:
- \mu^*(A):=\text{inf}(\beta_A)\le\sum^\infty_{n=1}\bar{\mu}(A_n)=\bar{\mu}(A)
- We have shown \mu^*(A)\le\bar{\mu}(A) as required
- Consider the sequence ({ A_n })_{ n = 1 }^{ \infty } given by A_1:=A and A_i:=\emptyset for i>1, so the sequence A,\emptyset,\emptyset,\ldots.
- Part 2: \bar{\mu}(A)\le\mu^*(A)
- SEE NOTEPAD. Define \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 \forall x\in\beta_A\exists y\in\gamma_A[y\le x] - we may now pass to the infimum.
- Part 1: \bar{\mu}(A)\ge\mu^*(A)
- In order to prove \bar{\mu}(A)=\mu^*(A) we need only prove [\bar{\mu}(A)\ge\mu^*(A)\wedge\bar{\mu}(A)\le\mu^*(A)][Note 1]
Proof that \mu^* is \sigma-subadditive
- Let ({ A_n })_{ n = 1 }^{ \infty }\subseteq \mathcal{H}_{\sigma R}(\mathcal{R}) be given. We want to show that \mu^*(\bigcup_{n=1}^\infty A_n)\le\sum^\infty_{n=1}\mu^*(A_n)
- Let \epsilon>0 (with \epsilon\in\mathbb{R} ) be given.
- We will now define a new family of sequences. For each A_n we will construct the sequence ({ A_{nm} })_{ m = 1 }^{ \infty }\subseteq \mathcal{R} of sets such that:
- \forall n\in\mathbb{N}[A_n\subseteq\bigcup_{m=1}^\infty A_{nm}] and
- \forall n\in\mathbb{N}[\sum^\infty_{m=1}\bar{\mu}(A_{nm})\le\mu^*(A_n)+\epsilon\frac{1}{2^n}]
- Let n\in\mathbb{N} be given (we will now define ({ A_{mn} })_{ m = 1 }^{ \infty }\subseteq \mathcal{R} )
- Recall that \mu^*(A_n):=\text{inf}(\beta_{A_n})
- Any value greater than the \text{inf}(\beta_{A_n}), say w, is not a lower bound so there must exist an element in \beta_{A_n} less that w (so w cannot be a lower bound)
- Choose w:=\text{inf}(\beta_{A_n})+\frac{\epsilon}{2^n}
- As \epsilon>0 and \frac{1}{2^n}>0 we see \frac{\epsilon}{2^n}>0, thus \mu^*(A_n)<\mu^*(A_n)+\frac{\epsilon}{2^n}
- Choose w:=\text{inf}(\beta_{A_n})+\frac{\epsilon}{2^n}
- By the definition of infimum:
- \exists s\in\beta_{A_n}[w>\text{inf}(\beta_{A_n})\implies s< w]
- If s\in\beta_{A_n} then:
- \exists(B_n)_{n=1}^\infty\in\alpha_{A_n} such that s=\sum^\infty_{n=1}\bar{\mu}(B_n).
- As s<w=\text{inf}(\beta_{A_n})+\frac{\epsilon}{2^n}=\mu^*(A_n)+\frac{\epsilon}{2^n} and s=\sum^\infty_{n=1}\bar{\mu}(B_n) we see:
- \sum^\infty_{n=1}\bar{\mu}(B_n)<\mu^*(A_n)+\frac{\epsilon}{2^n}
- Caution:This doesn't show that A_n\subseteq\bigcup_{m=1}^\infty A_{nm} - don't forget!
- Define a new sequence, ({ A_{nm} })_{ m = 1 }^{ \infty }\subseteq \mathcal{R} to be the sequence ({ B_n })_{ n = 1 }^{ \infty } \in\alpha_{A_n} we just showed to exist
- Since n\in\mathbb{N} was arbitrary for each A_n\in(A_k)_{k=1}^\infty\subseteq\mathcal{H}_{\sigma R}(\mathcal{R}) we now have a new sequence: ({ A_{nm} })_{ m = 1 }^{ \infty }\subseteq \mathcal{R} such that:
- \forall n\in\mathbb{N}\left[\sum^\infty_{m=1}\bar{\mu}(A_{nm})<\mu^*(A_n)+\frac{\epsilon}{2^n}\right] and \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:
- \bigcup_{n=1}^\infty A_n\subseteq \bigcup_{n=1}^\infty\left(\bigcup_{m=1}^\infty A_{nm}\right)
- So \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)=\sum^\infty_{n=1}\mu^*(A_n)+\sum^\infty_{n=1}\frac{\epsilon}{2^n}
- Note that \sum^\infty_{n=1}\frac{\epsilon}{2^n}=\epsilon\sum^\infty_{n=1}\frac{1}{2^n} and that \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:
- \epsilon\sum^\infty_{n=1}\frac{1}{2^n}=1\epsilon=\epsilon thus:
- Note that \sum^\infty_{n=1}\frac{\epsilon}{2^n}=\epsilon\sum^\infty_{n=1}\frac{1}{2^n} and that \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:
- \mu^*\left(\bigcup_{n=1}^\infty A_n\right)<\sum^\infty_{n=1}\mu^*(A_n)+\epsilon
- We will now define a new family of sequences. For each A_n we will construct the sequence ({ A_{nm} })_{ m = 1 }^{ \infty }\subseteq \mathcal{R} of sets such that:
- Since \epsilon>0 (with \epsilon\in\mathbb{R} was arbitrary we see:
- \forall\epsilon>0\left[\mu^*\left(\bigcup_{n=1}^\infty A_n\right)<\sum^\infty_{n=1}\mu^*(A_n)+\epsilon\right]
- Recall that \left(\forall\epsilon>0[a<b+\epsilon]\right)\iff\left(a\le b\right) (from the epsilon form of inequalities)
- Thus: \mu^*\left(\bigcup_{n=1}^\infty A_n\right)\le\sum^\infty_{n=1}\mu^*(A_n)
- Let \epsilon>0 (with \epsilon\in\mathbb{R} ) be given.
- Since ({ A_n })_{ n = 1 }^{ \infty }\subseteq \mathcal{H}_{\sigma R}(\mathcal{R}) was arbitrary we have shown that:
- \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 \mu^* is \sigma-subadditive
Caveats
- Halmos starts with a set A\in\mathcal{H}_{\sigma R}(\mathcal{R}) and a sequence ({ A_n })_{ n = 1 }^{ \infty }\subseteq \mathcal{H}_{\sigma R}(\mathcal{R}) such that:
- A\subseteq\bigcup_{n=1}^\infty A_n
- where as I just start with a sequence, as \mathcal{H}_{\sigma R}(\mathcal{R}) is a \sigma-algebra, their union is also in \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 \infty<\infty make no sense
The rest
Still to do:
- \mu^* being monotonic with respect to set inclusion and the usual ordering on the reals.
- \mu^*(\emptyset)=0 - this can come from the extension part as \bar{\mu} has this property already
Notes
- Jump up ↑ This is called the trichotomy rule or something, I should link to the relevant part of a partial order here
References
|