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arXiv math/0611306math.PR
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分数阶随机微分方程的树与渐近发展

Trees and asymptotic developments for fractional stochastic differential equations

Andreas Neuenkirch, Ivan Nourdin, Andreas Rößler, Samy Tindel

摘要:

本文考虑了一个由分数阶布朗运动驱动的n维随机微分方程,其Hurst参数H>1/3。在用相当初等的方法解出这个方程之后,按照Gubinelli的方法,我们展示了如何获得E[f(X\_t)]关于t的展开式,其中X表示解,f:R^n->R是一个正则函数。相对于工作的Baudoin和Coutin,在同一种问题被认为是,我们尝试改进在三个不同的方向:我们能够考虑到漂移的方程,我们参数化我们的扩展与树木(这使得它更容易使用),我们获得了一个尖锐的控制的其余部分。

英文摘要:

In this paper we consider a n-dimensional stochastic differential equation driven by a fractional Brownian motion with Hurst parameter H>1/3. After solving this equation in a rather elementary way, following the approach of Gubinelli, we show how to obtain an expansion for E[f(X\_t)] in terms of t, where X denotes the solution to the SDE and f:R^n->R is a regular function. With respect to the work by Baudoin and Coutin, where the same kind of problem is considered, we try an improvement in three different directions: we are able to take a drift into account in the equation, we parametrize our expansion with trees (which makes it easier to use), and we obtain a sharp control of the remainder.

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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