通过马利亚文微积分的新渐近展开公式及其在分数布朗运动驱动的粗微分方程中的应用

IF 1.1 4区 数学 Q2 MATHEMATICS, APPLIED
Akihiko Takahashi, Toshihiro Yamada
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引用次数: 0

摘要

本文通过马利亚文微积分技术,提出了一种新颖的多维维纳函数期望的通用渐近展开公式。在目标维纳函数的马利亚文协方差矩阵的较弱条件下,显示了渐近展开的均匀估计。特别是,该方法为一个由具有赫斯特指数 H<1/2 的分数布朗运动驱动的多维粗糙微分方程的解的不规则函数的期望值提供了一个简便的扩展,而无需为奇异核使用复杂的分数积分微积分。在数值实验中,我们的扩展对概率分布函数的近似比其正态近似要好得多,这证明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New asymptotic expansion formula via Malliavin calculus and its application to rough differential equation driven by fractional Brownian motion
This paper presents a novel generic asymptotic expansion formula of expectations of multidimensional Wiener functionals through a Malliavin calculus technique. The uniform estimate of the asymptotic expansion is shown under a weaker condition on the Malliavin covariance matrix of the target Wienerfunctional. In particular, the method provides a tractable expansion for the expectation of an irregular functional of the solution to a multidimensional rough differential equation driven by fractional Brownian motion with Hurst index H<1/2, without using complicated fractional integral calculus for the singular kernel. In a numerical experiment, our expansion shows a much better approximation for a probability distribution function than its normal approximation, which demonstrates the validity of the proposed method.
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来源期刊
Asymptotic Analysis
Asymptotic Analysis 数学-应用数学
CiteScore
1.90
自引率
7.10%
发文量
91
审稿时长
6 months
期刊介绍: The journal Asymptotic Analysis fulfills a twofold function. It aims at publishing original mathematical results in the asymptotic theory of problems affected by the presence of small or large parameters on the one hand, and at giving specific indications of their possible applications to different fields of natural sciences on the other hand. Asymptotic Analysis thus provides mathematicians with a concentrated source of newly acquired information which they may need in the analysis of asymptotic problems.
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