arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1102.5067math.PR
收藏

分数阶随机微分方程的迁移过程逼近

Approximations of Fractional Stochastic Differential Equations by Means of Transport Processes

J. Garzón, L. G. Gorostiza, J. A. León

摘要:

本文给出了一类随机微分方程解的强逼近收敛速率,其中$$ dX_t=b(X_t)dt+σ(X_t)dB^H_t, $$,$b\in C^1_b$,$σ\in C^2_b$,$B^H$是Hurst指数为$H$的分数布朗运动,并假设解的存在性.这些结果是基于Garzón等人(2009)通过传输过程对$B^H$的强近似。如果$σ$有界远离0,则通过Römisch和Wakolbinger(1985)的一般Lipschitz依赖性结果获得近似。如果没有对$σ$的假设,这种方法就不起作用,我们通过对Doss-Sussmann表示的欧拉格式来获得另一个近似,其证明是本文的大部分。

英文摘要:

We present strong approximations with rate of convergence for the solution of a stochastic differential equation of the form $$ dX_t=b(X_t)dt+σ(X_t)dB^H_t, $$ where $b\in C^1_b$, $σ\in C^2_b$, $B^H$ is fractional Brownian motion with Hurst index $H$, and we assume existence of a unique solution with Doss-Sussmann representation. The results are based on a strong approximation of $B^H$ by means of transport processes of Garzón et al (2009). If $σ$ is bounded away from 0, an approximation is obtained by a general Lipschitz dependence result of Römisch and Wakolbinger (1985). Without that assumption on $σ$, that method does not work, and we proceed by means of Euler schemes on the Doss-Sussmann representation to obtain another approximation, whose proof is the bulk of the paper.

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。

↑