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Continuous mapping theorem : ウィキペディア英語版
Continuous mapping theorem
In probability theory, the continuous mapping theorem states that continuous functions are limit-preserving even if their arguments are sequences of random variables. A continuous function, in Heine’s definition, is such a function that maps convergent sequences into convergent sequences: if ''xn'' → ''x'' then ''g''(''xn'') → ''g''(''x''). The ''continuous mapping theorem'' states that this will also be true if we replace the deterministic sequence with a sequence of random variables , and replace the standard notion of convergence of real numbers “→” with one of the types of convergence of random variables.
This theorem was first proved by , and it is therefore sometimes called the Mann–Wald theorem.
==Statement==
Let , ''X'' be random elements defined on a metric space ''S''. Suppose a function (where ''S′'' is another metric space) has the set of discontinuity points ''Dg'' such that . Then
# X_n \ \xrightarrow\ X \quad\Rightarrow\quad g(X_n)\ \xrightarrow\ g(X);
# X_n \ \xrightarrow\ X \quad\Rightarrow\quad g(X_n)\ \xrightarrow\ g(X);
# X_n \ \xrightarrow\ X \quad\Rightarrow\quad g(X_n)\ \xrightarrow\ g(X).

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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