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Contraction principle (large deviations theory)
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Contraction principle (large deviations theory) : ウィキペディア英語版
Contraction principle (large deviations theory)
In mathematics — specifically, in large deviations theory — the contraction principle is a theorem that states how a large deviation principle on one space "pushes forward" to a large deviation principle on another space ''via'' a continuous function.
==Statement of the theorem==

Let ''X'' and ''Y'' be Hausdorff topological spaces and let (''μ''''ε'')''ε''>0 be a family of probability measures on ''X'' that satisfies the large deviation principle with rate function ''I'' : ''X'' → (). Let ''T'' : ''X'' → ''Y'' be a continuous function, and let ''ν''''ε'' = ''T''(''μ''''ε'') be the push-forward measure of ''μ''''ε'' by ''T'', i.e., for each measurable set/event ''E'' ⊆ ''Y'', ''ν''''ε''(''E'') = ''μ''''ε''(''T''−1(''E'')). Let
:J(y) := \inf \big\,
with the convention that the infimum of ''I'' over the empty set ∅ is +∞. Then:
* ''J'' : ''Y'' → () is a rate function on ''Y'',
* ''J'' is a good rate function on ''Y'' if ''I'' is a good rate function on ''X'', and
* (''ν''''ε'')''ε''>0 satisfies the large deviation principle on ''Y'' with rate function ''J''.

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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