Convergence in Measure: Difference between revisions

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==Properties==
==Properties==
*If <math> f_n \to f </math> in measure and <math> g_n \to g </math> in measure, then <math> f_n+g_n \to f+g </math> in measure <ref name="Craig1">Katy Craig, ''Math 201a'', Homework 8 </ref>
*If <math> f_n \to f </math> in measure and <math> g_n \to g </math> in measure, then <math> f_n+g_n \to f+g </math> in measure </math>.<ref name="Craig">Craig, Katy. ''MATH 201A HW 8''. UC Santa Barbara, Fall 2020.</ref>


*If <math> f_n \to f </math> in measure and <math> g_n \to g </math> in measure, then <math> f_ng_n \to fg </math> in measure <ref name="Craig1"></ref>
*If <math> f_n \to f </math> in measure and <math> g_n \to g </math> in measure, then <math> f_ng_n \to fg </math> in measure. <ref name="Craig">Craig, Katy. ''MATH 201A HW 8''. UC Santa Barbara, Fall 2020.</ref>


==Relation to other types of Convergence==
==Relation to other types of Convergence==

Revision as of 20:19, 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 </math>.[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 Craig, Katy. MATH 201A HW 8. UC Santa Barbara, Fall 2020.