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Kolmogorov continuity theorem : ウィキペディア英語版
Kolmogorov continuity theorem
In mathematics, the Kolmogorov continuity theorem is a theorem that guarantees that a stochastic process that satisfies certain constraints on the moments of its increments will be continuous (or, more precisely, have a "continuous version"). It is credited to the Soviet mathematician Andrey Nikolaevich Kolmogorov.
==Statement of the theorem==

Let X : [0, + \infty) \times \Omega \to \mathbb^ be a stochastic process, and suppose that for all times T > 0, there exist positive constants \alpha, \beta, K such that
:\mathbb \left[ | X_ - X_ |^ \right] \leq K | t - s |^
for all 0 \leq s, t \leq T. Then there exists a modification of X that is a continuous process, i.e. a process \tilde : [0, + \infty) \times \Omega \to \mathbb^ such that
* \tilde is sample continuous;
* for every time t \geq 0, \mathbb (X_ = \tilde_) = 1.
Furthermore, the paths of \tilde are almost surely \gamma-Hölder continuous for every 0<\gamma<\tfrac\beta\alpha.

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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