Convergence in Measure: Difference between revisions
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*If <math> f_n \to f </math> in measure, then there exists a subsequence <math> \{f_{n_k}\}_{k \in \mathbb{N}} </math> such that <math> f_{n_k} \to f </math> almost everywhere.<ref name="Folland">Gerald B. Folland, ''Real Analysis: Modern Techniques and Their Applications, second edition'', §2.4 </ref> | *If <math> f_n \to f </math> in measure, then there exists a subsequence <math> \{f_{n_k}\}_{k \in \mathbb{N}} </math> such that <math> f_{n_k} \to f </math> almost everywhere.<ref name="Folland">Gerald B. Folland, ''Real Analysis: Modern Techniques and Their Applications, second edition'', §2.4 </ref> | ||
*If <math> \mu(X) < \infty </math> and <math> f_n,f </math> measurable s.t. <math> f_n \to f </math> almost everywhere Then <math> f_n \to f </math> in measure. | *If <math> \mu(X) < \infty </math> and <math> f_n,f </math> measurable s.t. <math> f_n \to f </math> almost everywhere Then <math> f_n \to f </math> in measure. | ||
==References== | ==References== |
Revision as of 04:32, 17 December 2020
Let denote a measure space and let for . The sequence converges to in measure if for any . Furthermore, the sequence is Cauchy in measure if for every as [1]
Properties
- If in measure and in measure, then in measure.[2]
- If in measure and in measure, then in measure if .
- If in measure and in measure, then in measure if this is a finite measure space. [2]
Relation to other types of Convergence
- If in then in measure [1]
- If in measure, then there exists a subsequence such that almost everywhere.[1]
- If and measurable s.t. almost everywhere Then in measure.