\(\DeclarePairedDelimiterX{\Set}[2]{\{}{\}}{#1 \nonscript\;\delimsize\vert\nonscript\; #2}\) \( \DeclarePairedDelimiter{\set}{\{}{\}}\) \( \DeclarePairedDelimiter{\parens}{\left(}{\right)}\) \(\DeclarePairedDelimiterX{\innerproduct}[1]{\langle}{\rangle}{#1}\) \(\newcommand{\ip}[1]{\innerproduct{#1}}\) \(\newcommand{\bmat}[1]{\left[\hspace{2.0pt}\begin{matrix}#1\end{matrix}\hspace{2.0pt}\right]}\) \(\newcommand{\barray}[1]{\left[\hspace{2.0pt}\begin{matrix}#1\end{matrix}\hspace{2.0pt}\right]}\) \(\newcommand{\mat}[1]{\begin{matrix}#1\end{matrix}}\) \(\newcommand{\pmat}[1]{\begin{pmatrix}#1\end{pmatrix}}\) \(\newcommand{\mathword}[1]{\mathop{\textup{#1}}}\)
Needs:
Negligible Sets
Needed by:
None.
Links:
Sheet PDF
Graph PDF

Almost Everywhere Measurability

Why

Does convergence almost everywhere of a sequence of measurable functions guarantee measurability of the limit function? It does on complete measure spaces, and we can use this result to “weaken” the hypotheses of many theorems.

Results

A measure is complete if every subset of a measurable set of measure zero is measurable. If the measure is complete, then every negligible set must be measurable.

We begin with a transitivity property: almost everywhere equality of two functions allows us to infer measurability of one from the other.

Suppose $(X, \mathcal{A} , \mu )$ is measure space and $f,g: X \to [-\infty, \infty]$ are such that $f = g$ almost everywhere. If $\mu $ is complete and $f$ is $\mathcal{A} $-measurable, then $g$ is $\mathcal{A} $-measurable.
Let $(X, \mathcal{A} , \mu )$ be a measure space. Let $\seqt{f}: X \to [-\infty, \infty]$ for all natural numbers $n$ and $f: X \to [-\infty, \infty]$ with $\seq{f}$ converging to $f$ almost everywhere. If $\mu $ is complete and and $\seqt{f}$ is measurable for each $n$, then $f$ is $\mathcal{A} $-measurable.
Copyright © 2023 The Bourbaki Authors — All rights reserved — Version 13a6779cc About Show the old page view