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arXiv 2407.03039math.PR
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由分数布朗运动驱动的随机微分方程二阶差分加权幂变差的渐近展开

Asymptotic expansion of the weighted power variation with second order differences of a stochastic differential equation driven by fBm

Hayate Yamagishi

AI总结:

本文研究由分数布朗运动驱动的一维随机微分方程,利用Nualart-Yoshida展开理论和指数理论,推导了基于二阶差分的加权幂变差分布的渐近展开公式,并给出收敛速率。

摘要:

我们研究一个满足一维随机微分方程的过程,该方程由Hurst指数 $H>1/2$ 的分数布朗运动驱动,并考虑基于该过程二阶差分的加权幂变差。基于Nualart和Yoshida的Skorohod积分展开理论,我们推导出其分布的渐近展开公式。该公式作为推论包含了收敛速率。为便于应用一般展开理论,我们采用arXiv:2407.02254中的指数理论来获得泛函的估计。

英文摘要:

We study a process satisfying a one-dimensional stochastic differential equation driven by fractional Brownian motion with Hurst index $H>1/2$, and consider the weighted power variation based on the second order differences of the process. We derive the asymptotic expansion formula of its distribution based on the theory of expansion of Skorohod integrals by Nualart and Yoshida. The formula includes the rate of convergence as a corollary. To facilitate the application of the general expansion theory, we employ the theory of exponents from arXiv:2407.02254 to obtain estimates of functionals.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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