Egerov's Theorem: Difference between revisions

From Optimal Transport Wiki
Jump to navigation Jump to search
No edit summary
Line 1: Line 1:
==Statement==
==Statement==
Suppose <math>\{f_n\}</math> is a sequence of measurable functions defined on a measurable set <math> E </math> with <math> \mu(E)<\infty </math> and <math> f_n \rightarrow f  </math> a.e. on E.
Suppose <math>\{f_n\}</math> is a sequence of measurable functions defined on a measurable set <math> E </math> with <math> \mu(E)<\infty </math> and <math> f_n \rightarrow f  </math> a.e. on E.
/break
Then:
Then:
Given <math> \epsilon>0  </math> we may find a closed subset <math> A_\epsilon \subset E  </math> such that <math> \mu(E\setminus A_\epsilon \leq \epsilon </math> and <math> f_n \rightarrow f  </math> uniformly on <math> A_\epsilon </math>
Given <math> \epsilon>0  </math> we may find a closed subset <math> A_\epsilon \subset E  </math> such that <math> \mu(E\setminus A_\epsilon \leq \epsilon </math> and <math> f_n \rightarrow f  </math> uniformly on <math> A_\epsilon </math>

Revision as of 09:06, 7 December 2020

Statement

Suppose is a sequence of measurable functions defined on a measurable set with and a.e. on E. /break Then: Given we may find a closed subset such that and uniformly on

Proof

For any , let .

By definition, . And , so by Monotone Convergence Theorem, .

Furthermore, by definition we have , then .

Since exists, taking of both sides: .

References