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Doob's martingale inequality : ウィキペディア英語版
Doob's martingale inequality
In mathematics, Doob's martingale inequality is a result in the study of stochastic processes. It gives a bound on the probability that a stochastic process exceeds any given value over a given interval of time. As the name suggests, the result is usually given in the case that the process is a non-negative martingale, but the result is also valid for non-negative submartingales.
The inequality is due to the American mathematician Joseph L. Doob.
==Statement of the inequality==
Let ''X'' be a submartingale taking non-negative real values, either in discrete or continuous time. That is, for all times ''s'' and ''t'' with ''s'' < ''t'',
: X_\leq\mathbf \left(X_ \big| \mathcal_ \right ).
(For a continuous-time submartingale, assume further that the process is càdlàg.) Then, for any constant ''C'' > 0 and ''p'' ≥ 1,
:\mathbf \left(\sup_ X_ \geq C \right ) \leq \frac^ \right )}[X_T] = \int_ X_ (\omega) \, \mathrm \mathbf (\omega)
in the sense of Lebesgue integration. \mathcal_ denotes the σ-algebra generated by all the random variables ''Xi'' with ''i'' ≤ ''s''; the collection of such σ-algebras forms a filtration of the probability space.

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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