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="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_n+g_n \to f+g </math> in measure.<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 if <math> \mu(X) < \infty </math>.
*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 if this is a finite measure space. <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 if this is a finite measure space. <ref name="Craig">Craig, Katy. ''MATH 201A HW 8''. UC Santa Barbara, Fall 2020.</ref>


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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.<ref name="Craig">Craig, Katy. ''MATH 201A Lecture 18''. UC Santa Barbara, Fall 2020.</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.<ref name="Craig, Katy">Craig, Katy. ''MATH 201A Lecture 18''. UC Santa Barbara, Fall 2020.</ref>


==References==
==References==

Latest revision as of 07:18, 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 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.[3]

References

  1. Jump up to: 1.0 1.1 1.2 Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, second edition, §2.4
  2. Jump up to: 2.0 2.1 Craig, Katy. MATH 201A HW 8. UC Santa Barbara, Fall 2020.
  3. Craig, Katy. MATH 201A Lecture 18. UC Santa Barbara, Fall 2020.