Stochastic derivatives for fractional diffusions

被引:4
|
作者
Darses, Sebastien
Nourdin, Ivan
机构
[1] Univ Franche Comte, Math Lab, F-25030 Besancon, France
[2] Univ Paris 06, LPMA, F-75252 Paris 05, France
来源
ANNALS OF PROBABILITY | 2007年 / 35卷 / 05期
关键词
stochastic derivatives; Nelson's derivative; fractional Brownian motion; fractional differential equation; Malliavin calculus;
D O I
10.1214/009117906000001169
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we introduce some fundamental notions related to the so-called stochastic derivatives with respect to a given a-field Q. In our framework, we recall well-known results about Markov-Wiener diffusions. We then focus mainly on the case where X is a fractional diffusion and where 62 is the past, the future or the present of X. We treat some crucial examples and our main result is the existence of stochastic derivatives with respect to the present of X when X solves a stochastic differential equation driven by a fractional Brownian motion with Hurst index H > 1/2. We give explicit formulas.
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页码:1998 / 2020
页数:23
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