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arXiv 1306.1458math.PR
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分数阶布朗运动驱动的随机微分方程的修正Euler逼近格式

Modified Euler approximation scheme for stochastic differential equations driven by fractional Brownian motions

Yaozhong Hu, Yanghui Liu, David Nualart

摘要:

对于由分数布朗运动驱动的具有Hurst参数$H> \frac12$的随机微分方程,经典的Euler格式具有收敛速率$2H-1$ .本文介绍一种新的数值格式,它在收敛速度上更接近于经典的扩散过程的Euler格式,即具有$2H-\frac12$。特别地,当$H$被正式设置为$\frac 12$(经典布朗运动的欧拉格式的速率)时,收敛速率变为$\frac 12$。并给出了该格式的弱收敛速度。主要工具是分数阶微积分和Malliavin微积分。我们还将我们的方法应用于经典的欧拉方案。

英文摘要:

For a stochastic differential equation driven by a fractional Brownian motion with Hurst parameter $H> \frac12$ it is known that the classical Euler scheme has the rate of convergence $2H-1$. In this paper we introduce a new numerical scheme which is closer to the classical Euler scheme for diffusion processes, in the sense that it has the rate of convergence $2H-\frac12$. In particular, the rate of convergence becomes $\frac 12$ when $H$ is formally set to $\frac 12$ (the rate of Euler scheme for classical Brownian motion). The rate of weak convergence is also deduced for this scheme. The main tools are fractional calculus and Malliavin calculus. We also apply our approach to the classical Euler scheme.

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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