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Novikov's condition : ウィキペディア英語版
Novikov's condition
In probability theory, Novikov's condition is the sufficient condition for a stochastic process which takes the form of the Radon-Nikodym derivative in Girsanov's theorem to be a martingale. If satisfied together with other conditions, Girsanov's theorem may be applied to a Brownian motion stochastic process to change from the original measure to the new measure defined by the Radon-Nikodym derivative.
This condition was suggested and proved by Alexander Novikov. There are other results which may be used to show that the Radon-Nikodym derivative is a martingale, such as the more general criterion Kazamaki's condition, however Novikov's condition is the most well-known result.
Assume that
(X_t)_ is a real valued adapted process on the probability space \left (\Omega, (\mathcal_t), \mathbb\right) and (W_t)_ is an adapted Brownian motion:〔Pascucci, Andrea (2011) ''PDE and Martingale Methods in Option Pricing''. Berlin: Springer-Verlag
If the condition
:
\mathbb\left( \right )<\infty

is fulfilled then the process
:
\ \mathcal\left( \int_0^t X_s \; dW_s \right) \ = e^\int_0^t X_s^2\, ds},\quad 0\leq t\leq T

is a martingale under the probability measure \mathbb and the filtration \mathcal. Here \mathcal denotes the Doléans-Dade exponential.
==References==

Comments on Girsanov's Theorem by H. E. Krogstad, IMF 2003 ()

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