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arXiv 0808.0337math.PRmath.CA
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Ito映射的非标准逼近

Non-standard approximations of the Ito-map

Peter Friz, Harald Oberhauser

摘要:

Wong-Zakai定理断言,由布朗运动的“合理”(例如分段线性)近似驱动的常微分方程收敛于相应的Stratonovich随机微分方程。借助粗糙路径分析,我们研究“非合理”的近似,并超越了一个众所周知的标准[池田-渡边,北荷兰1989年]的意义上说,我们的结果适用于扰动的所有级别,表现出额外的漂移项涉及任何迭代李括号的驱动向量场。特别地,这适用于McShane('72)和Sussmann(' 91)的近似。我们的方法不限于布朗驱动信号。最后,这些思想可以用来证明某些粗路估计的最优性。

英文摘要:

The Wong-Zakai theorem asserts that ODEs driven by "reasonable" (e.g. piecewise linear) approximations of Brownian motion converge to the corresponding Stratonovich stochastic differential equation. With the aid of rough path analysis, we study "non-reasonable" approximations and go beyond a well-known criterion of [Ikeda--Watanabe, North Holland 1989] in the sense that our result applies to perturbations on all levels, exhibiting additional drift terms involving any iterated Lie brackets of the driving vector fields. In particular, this applies to the approximations by McShane ('72) and Sussmann ('91). Our approach is not restricted to Brownian driving signals. At last, these ideas can be used to prove optimality of certain rough path estimates.

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