Convergence in Measure: Difference between revisions

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Let <math>(X, \mathcal{M}, \mu)</math> denote a measure space and let <math>f_n, f : X \to \mathbb{R}</math> for <math>n \in \mathbb{N}</math>. The sequence <math>\{f_n\}_{n \in \mathbb{N}}</math> converges to <math>f</math> in measure if <math>\lim_{n \to \infty} \mu \left( \{x \in X : |f_n(x) - f(x)| \geq \epsilon \} \right) = 0</math> for any <math>\epsilon > 0</math> <ref name="Folland">Gerald B. Folland, ''Real Analysis: Modern Techniques and Their Applications, second edition'', §2.4 </ref>.
Let <math>(X, \mathcal{M}, \mu)</math> denote a measure space and let <math>f_n, f : X \to \mathbb{R}</math> for <math>n \in \mathbb{N}</math>. The sequence <math>\{f_n\}_{n \in \mathbb{N}}</math> converges to <math>f</math> in measure if <math>\lim_{n \to \infty} \mu \left( \{x \in X : |f_n(x) - f(x)| \geq \epsilon \} \right) = 0</math> for any <math>\epsilon > 0</math>. Further, the sequence <math> \{f_n\}_{n \in \mathbb{N}} </math> is Cauchy in measure if for every <math> \epsilon > 0, </math> <math> \mu(\{x \in X : |f_n(x) - f_m(x) | \geq \epsilon \}) \to 0 </math> as <math> n,m \to \infty </math> <ref name="Folland">Gerald B. Folland, ''Real Analysis: Modern Techniques and Their Applications, second edition'', §2.4 </ref>
 
Further, the sequence <math> \{f_n\}_{n \in \mathbb{N}} </math> is Cauchy in measure if for every <math> \epsilon > 0 </math> <math> \mu(\{x \in X : |f_n(x) - f_m(x) | \geq \epsilon \}) \to 0 </math> as <math> n,m \to \infty </math> <ref name="Folland">Gerald B. Folland, ''Real Analysis: Modern Techniques and Their Applications, second edition'', §2.4 </ref>





Revision as of 20:11, 10 December 2020

Let denote a measure space and let for . The sequence converges to in measure if for any . Further, 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 [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]



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 Katy Craig, Math 201a, Homework 8