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Spectral collocation method for stochastic partial differential equations with fractional Brownian motion

机译:具有分数布朗运动的随机偏微分方程的光谱搭配方法

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摘要

In this paper, we consider the numerical approximation of stochastic partial differential equations driven by infinite dimensional fractional Brownian motion with Hurst index H > 1/2. A Fourier spectral collocation approximation is used in space and semi-implicit Euler method is applied for the temporal approximation. Our aim is to investigate the convergence of the proposed method. Optimal strong convergence error estimates in mean-square sense are derived and numerical experiments are presented and confirm theoretical results. (C) 2021 Elsevier B.V. All rights reserved.
机译:本文考虑Hurst指数H>1/2的无穷维分数阶Brownian运动驱动的随机偏微分方程的数值逼近。空间上采用傅里叶谱配置近似,时间上采用半隐式欧拉方法。我们的目的是研究所提出方法的收敛性。推导了均方意义下的最优强收敛误差估计,并进行了数值实验,验证了理论结果。(c)2021爱思唯尔B.V.保留所有权利。

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