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Varadhan's lemma : ウィキペディア英語版
Varadhan's lemma
In mathematics, Varadhan's lemma is a result from large deviations theory named after S. R. Srinivasa Varadhan. The result gives information on the asymptotic distribution of a statistic ''φ''(''Z''''ε'') of a family of random variables ''Z''''ε'' as ''ε'' becomes small in terms of a rate function for the variables.
==Statement of the lemma==
Let ''X'' be a regular topological space; let (''Z''''ε'')''ε''>0 be a family of random variables taking values in ''X''; let ''μ''''ε'' be the law (probability measure) of ''Z''''ε''. Suppose that (''μ''''ε'')''ε''>0 satisfies the large deviation principle with good rate function ''I'' : ''X'' → (). Let ''ϕ''  : ''X'' → R be any continuous function. Suppose that at least one of the following two conditions holds true: either the tail condition
:\lim_ \limsup_ \varepsilon \log \mathbf \big(\exp \big( \phi(Z_) / \varepsilon \big) \mathbf \big( \phi(Z_) \geq M \big) \big ) = - \infty,
where 1(''E'') denotes the indicator function of the event ''E''; or, for some ''γ'' > 1, the moment condition
:\limsup_ \varepsilon \log \mathbf \big(\exp \big( \gamma \phi(Z_) / \varepsilon \big) \big ) < + \infty.
Then
:\lim_ \varepsilon \log \mathbf \big(\exp \big( \phi(Z_) / \varepsilon \big) \big ) = \sup_ \big( \phi(x) - I(x) \big).

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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