Proving Measurable Functions Convergence in Finite Measure Sets

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Homework Help Overview

The discussion revolves around proving the convergence of measurable functions in the context of finite measure sets. The original poster presents a scenario involving a sequence of measurable functions that converge almost everywhere, seeking to establish the existence of specific measurable sets related to this convergence.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to define measurable functions and their properties, while exploring the implications of convergence in the context of finite measure sets. They propose a method involving the division of the set E into subsets based on convergence criteria but express uncertainty about its effectiveness. Other participants question terminology and clarify definitions, contributing to the exploration of the problem.

Discussion Status

The discussion is ongoing, with participants sharing insights and clarifications. The original poster has referenced a previous result that may be relevant, indicating a potential direction for the proof. However, there is no explicit consensus or resolution at this stage.

Contextual Notes

There are indications of missing information and potential misunderstandings regarding definitions of measurable functions. The original poster also notes a non-trivial mistake in their reasoning, which may affect their approach.

SqueeSpleen
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Let E be of finite measure and let \{ f_{n} \} _{n \geq 1} : E \rightarrow \overline{\mathbb{R}} measurable functions, finites almost everywhere in E such that f_{n} \rightarrow_{n \to \infty} f almost everywhere in E. Prove that exists a sequence (E_{i})_{i \geq 1} of measurable sets of E such that:
1) | E- \displaystyle \bigcup_{i=1}^{\infty} E_{i} | = 0
2) For every i \geq 1, f \rightrightarrows_{n \to \infty} in E_{i}

Notation:
f_{n} \rightarrow_{n \to \infty} f means "f_{n} converges to f as n \to \infty"
f \rightrightarrows_{n \to \infty} means "f_{n} converges uniformly to f as n \to \infty"
I don't know if there are multiple common definitions, but here is the mine:
A function f : \mathbb{R}^{n} \rightarrow \mathbb{R} is measurable if for all a \in \mathbb{R}:
\{ f > a \} = \{ x \in \mathbb{R}^{n} / f(x) > a \} is measurable in the sense of Lebesgue.
E \in R^{n} is measurable in the Lebesgue sense if for every \varepsilon > 0 \exists U \in \mathcal{U} / E \in U \wedge |U-E|_{e} < \varepsilon
Where | |_{e} is the outer measure.Attemp/idea:
I tried to divide E in E_{k,n} = \{ x \in E / | f(x)-f_{n} | < \frac{1}{k} \} but it will not help at all because something may "converge" similar in the first m terms but converge otherwise later.
 
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SqueeSpleen said:
medible functions

Sorry, did you mistype this? I don't know what it means.
 
This was a mistake, I meant measurable.
 
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In a previous exercise (I didn't realize it could be useful here, so I didn't post it) I had the following result:
Let E be a set of finite measure and \{ f_{k} \}_{k \in \mathbb{N}} : E \rightarrow \mathbb{R} a sequence of measurable functions such that for every x \in E, exists M_{x} \in \mathbb{R}_{>0}:
| f_{k} (x) | \leq M_{x}, \forall k \in \mathbb{N}
Then for every \varepsilon > 0 exists F \subset E closed and M \in \mathbb{R}_{>0} such that:
| E - F | < \varepsilon and | f_{k} (x) | \leq M, \forall k \in \mathbb{N}, \forall x \in F

If there's a set where \forall M \in \mathbb{R}_{>0} \exists k \in \mathbb{N} / | f - f_{k} | > M, then this set has to have null measure, because either the functions doesn't converge here or they're not finite.

Let's be E = H \cup Z where \{ f_{k} \}_{k \in \mathbb{N}} are finite and converges to f in H and | Z | = 0 (E-Z=H) (They may be not finite in differents sets, but all are of zero measure and the countable union of sets of null measure has null measure).

As H is measurable, for every \varepsilon > 0 exists C closed such that C \in H and | H - C | < \varepsilon.

I'll try with E_{k} = \{ x \in H / f_{n} (x) < k \forall n \in \mathbb{N}

Edit: I had a non-trivial mistake so I was trying to fix it but I failed and I have a lecture in 6 hours, so I'd better to sleep now.
 
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Getting late here -- will look at this tomorrow if someone doesn't help you sooner.
 

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