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A note on order of convergence of numerical method for neutral stochastic functional differential equations

机译:中立型随机泛函微分方程数值方法的收敛阶数的注记

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摘要

In this paper, we study the order of convergence of the Euler-Maruyama (EM) method for neutral stochastic functional differential equations (NSFDEs). Under the global Lipschitz condition, we show that the pth moment convergence of the EM numerical solutions for NSFDEs has order p/2 - 1/I for any p ≥ 2 and any integer I > 1. Moreover, we show the rate of the mean-square convergence of EM method under the local Lipschitz condition is 1 - ε/2 for any ε ∈ (0,1), provided the local Lipschitz constants of the coefficients, valid on balls of radius j, are supposed not to grow faster than log j. This is significantly different from the case of stochastic differential equations where the order is 1/2.
机译:在本文中,我们研究了中立型随机泛函微分方程(NSFDE)的Euler-Maruyama(EM)方法的收敛阶。在全局Lipschitz条件下,我们表明NSFDE的EM数值解的pth矩收敛对于任何p≥2和任何整数I> 1的阶为p / 2-1 / I。对于任何εε(0,1),在局部Lipschitz条件下EM方法的平方收敛为1-ε/ 2,前提是假设在半径j的球上有效的系数的局部Lipschitz常数的增长速度不超过记录j。这与阶为1/2的随机微分方程的情况大不相同。

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