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Needs:
Real Limits
Absolute Value
Measures
Needed by:
Convergence In Probability
Pointwise and Measure Limits
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Convergence In Measure

Why

We want a form of the dominated convergence theorem in terms of convergence in measure.1

Definition

A sequence of real-valued measurable functions converges in measure to a real-valued measurable limit function if, for every positive number, the measures of the set where the function deviates from the limit function by more than the positive number converges to zero.

Notation

Suppose $\seq{f}$ is a sequence of real-valued measurable funtions on a measure space $(X, \mathcal{A} , \mu )$ and $f: X \to \R $ measurable. If $f_n$ converges in measure to $f$ we write: $f_n \goesto f$ in measure, read aloud as “$f_n$ goes to $f$ in measure.” This notation is an abbreviation of the following relation

\[ \lim_{n \to \infty} \mu (\Set*{x \in X}{\abs{f_n(x) - f(x)} > \epsilon }) = 0 \quad \text{ for all } \epsilon > 0 \]


  1. Future editions will expand. ↩︎
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