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 Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle f_n \to f }
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.[2]
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 2.2 Craig, Katy. MATH 201A HW 8. UC Santa Barbara, Fall 2020. Cite error: Invalid
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