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Theoretical and numerical analysis of a class of stochastic Volterra integro-differential equations with non-globally Lipschitz continuous coefficients

机译:一类具有非全局Lipschitz连续系数的随机Volterra积分-微分方程的理论和数值分析

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In this paper, we consider the theoretical and numerical analysis of a class of stochastic Volterra integro-differential equations with non-globally Lipschitz continuous coefficients. The existence, uniqueness and pth moment boundedness of the analytic solutions are investigated. Euler method is shown to be divergent in the strong mean square sense for super linear growth coefficients, so the truncated Euler-Maruyama method is presented and its moment boundedness and L-q-convergence are shown. Moreover, its pth moment boundedness and L-q-convergence (q is an element of [2, p) and p is a parameter in Khasminskii-type condition) rate are given under Local Lipschitz condition and Khasminskii-type condition. The theoretical results are illustrated by some numerical examples. (C) 2019 IMACS. Published by Elsevier B.V. All rights reserved.
机译:在本文中,我们考虑一类具有非全局Lipschitz连续系数的随机Volterra积分微分方程的理论和数值分析。研究了解析解的存在性,唯一性和pth矩有界性。对于超线性增长系数,Euler方法在强均方意义上表现出发散性,因此提出了截断的Euler-Maruyama方法,并显示了矩矩有界性和L-q收敛性。此外,在局部Lipschitz条件和Khasminskii类型条件下,给出了其p矩有界和L-q收敛(q是[2,p的元素,p是Khasminskii型条件下的参数)的比率。一些数值例子说明了理论结果。 (C)2019年IMACS。由Elsevier B.V.发布。保留所有权利。

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