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| <strong> Bounded Convergence Theorem </strong>: Let <math> f_n </math> be a seqeunce of measurable functions bounded by <math> M </math>, supported on a set <math> E </math> and <math> f_n \to f </math> a.e. Then | | <strong> Bounded Convergence Theorem </strong>: Let <math> f_n </math> be a seqeunce of measurable functions bounded by <math> M </math>, supported on a set <math> E </math> and <math> f_n \to f </math> a.e. Then |
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| <math> \int f_n=\int f </math> | | <math> \lim_{n \to +\infty}\int f_n=\int\lim_{n \to +\infty} f_n=\int f </math> <ref name="SS2"> Stein & Shakarchi, ''Real Analysis: Measure Theory, Integration, and Hilbert Spaces'', Chapter 2 § 1 </ref> |
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| ==Proof== | | ==Proof== |
| By assumptions on <math> f_n</math>, <math>f </math> is measurable, bounded, supported on <math>E </math> for a.e. x and. Fix <math>\epsilon>0 </math>, then by Egerov we may find a measurable subset <math>A_\epsilon </math> of <math> E</math> such that <math> \mu(E\setminus A_\epsilon)<\epsilon </math> and <math>f_n\to f </math> uniformly on <math>A_\epsilon </math>. Therefore, for sufficiently large <math>n </math> we have that <math>|f_n(x)-f(x)|<\epsilon </math> for all <math>x\in A_\epsilon </math>. This then gives | | By assumptions on <math> f_n</math>, <math>f </math> is measurable, bounded, supported on <math>E </math> for a.e. x. Fix <math>\epsilon>0 </math>, then by Egerov we may find a measurable subset <math>A_\epsilon </math> of <math> E</math> such that <math> \mu(E\setminus A_\epsilon)<\epsilon </math> and <math>f_n\to f </math> uniformly on <math>A_\epsilon </math>. Therefore, for sufficiently large <math>n </math> we have that <math>|f_n(x)-f(x)|<\epsilon </math> for all <math>x\in A_\epsilon </math>. Putting this together yields |
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| <math>\int |f_n-f|=\int_E |f_n-f|=\int_{A_\epsilon} |f_n-f|+\int_{E\setminus A_\epsilon}\leq \epsilon \mu(E)+2M \mu(E\setminus A_\epsilon)=\epsilon(\mu(E)+2M) </math> | | <math>\int |f_n-f|=\int_E |f_n-f|=\int_{A_\epsilon} |f_n-f|+\int_{E\setminus A_\epsilon}\leq \epsilon \mu(E)+2M \mu(E\setminus A_\epsilon)=\epsilon(\mu(E)+2M) </math> |
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| | Since <math> \epsilon </math> was arbitrary and <math> \mu(E)+2M </math> is finite by assumption we are done. |
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| ==References== | | ==References== |
Latest revision as of 21:02, 7 December 2020
Statement
Suppose is a locally finite Borel measure and is a sequence of measurable functions defined on a measurable set with and a.e. on E.
Then:
Given we may find a closed subset such that and uniformly on [1]
Proof
WLOG assume for all since the set of points at which is a null set. Fix and for we define
. Since are measurable so is their difference. Then since the absolute value of a measurable function is measurable each is measurable.
Now for fixed we have that and . Therefore using continuity from below we may find a such that .
Now choose so that and define . By countable subadditivity we have that .
Fix any . We choose such that . Since if then . And by definition if then whenever . Hence uniformly on .
Finally, since is measurable, using HW5 problem 6 there exists a closed set such that . Therefore and on
Corollary
Bounded Convergence Theorem : Let be a seqeunce of measurable functions bounded by , supported on a set and a.e. Then
[2]
Proof
By assumptions on , is measurable, bounded, supported on for a.e. x. Fix , then by Egerov we may find a measurable subset of such that and uniformly on . Therefore, for sufficiently large we have that for all . Putting this together yields
Since was arbitrary and is finite by assumption we are done.
References
- ↑ Stein & Shakarchi, Real Analysis: Measure Theory, Integration, and Hilbert Spaces, Chapter 1 §4.3
- ↑ Stein & Shakarchi, Real Analysis: Measure Theory, Integration, and Hilbert Spaces, Chapter 2 § 1