Renormalization Group Method for Singular Perturbed Systems Driven by Fractional Brownian Motion

Lihong Guo, S. Shi, Y. Chen
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引用次数: 1

Abstract

In this article, we use the renormalization group method to study the approximate solution of stochastic differential equations (SDEs) driven by fractional Brownian motion with Hurst parameter H∈12,1. We derive a related reduced system, which we use to construct the separate scale approximation solutions. It is shown that the approximate solutions remain valid with high probability on large time scales. We also expect that our general approach can be applied to the fields of physics, finance, and engineering, etc.
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分数阶布朗运动驱动奇异摄动系统的重整化群方法
本文利用重整化群方法研究了Hurst参数H∈12,1的分数阶布朗运动驱动的随机微分方程(SDEs)的近似解。我们导出了一个相关的简化系统,我们用它来构造单独的尺度近似解。结果表明,近似解在大时间尺度上具有高概率的有效性。我们还期望我们的一般方法可以应用于物理、金融和工程等领域。
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