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Martingale representation theorem
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Martingale representation theorem : ウィキペディア英語版
Martingale representation theorem
In probability theory, the martingale representation theorem states that a random variable that is measurable with respect to the filtration generated by a Brownian motion can be written in terms of an Itô integral with respect to this Brownian motion.
The theorem only asserts the existence of the representation and does not help to find it explicitly; it is possible in many cases to determine the form of the representation using Malliavin calculus.
Similar theorems also exist for martingales on filtrations induced by jump processes, for example, by Markov chains.
==Statement of the theorem==
Let B_t be a Brownian motion on a standard filtered probability space (\Omega, \mathcal,\mathcal_t, P ) and let \mathcal_t be the augmentation of the filtration generated by B. If ''X'' is a square integrable random variable measurable with respect to \mathcal_\infty, then there exists a predictable process ''C'' which is adapted with respect to \mathcal_t, such that
:X = E(X) + \int_0^\infty C_s\,dB_s.
Consequently
: E(X| \mathcal_t) = E(X) + \int_0^t C_s \, d B_s.

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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