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 Failed to parse (unknown function "\g"): {\displaystyle f_n\g_n \to fg }
in measure.
- 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]
References
- ↑ 1.0 1.1 1.2 Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, second edition, §2.4
- ↑ 2.0 2.1 Craig, Katy. MATH 201A HW 8. UC Santa Barbara, Fall 2020.