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.
 
in measure.


==References==
==References==

Revision as of 04:30, 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.

in measure.

References

  1. 1.0 1.1 1.2 Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, second edition, §2.4
  2. 2.0 2.1 Craig, Katy. MATH 201A HW 8. UC Santa Barbara, Fall 2020.