In this paper, we are interested in numerical solutions of stochastic functional differential equations with jumps. Under a global Lipschitz condition, we show that the pth-moment convergence of Euler-Maruyama numerical solutions to stochastic functional differential equations with jumps has order 1/p for any p >= 2. This is significantly different from the case of stochastic functional differential equations without jumps, where the order is 1/2 for any p >= 2. It is therefore best to use the mean-square convergence for stochastic functional differential equations with jumps. Moreover, under a local Lipschitz condition, we reveal that the order of mean-square convergence is close to 1/2, provided that local Lipschitz constants, valid on balls of radius j, do not grow faster than logj. (C) 2011 Elsevier B.V. All rights reserved.
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页码:119 / 131
页数:13
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[11]
Protter P. E., 2005, Stochastic Modelling and Applied Probability, V21
[12]
Sobczyk K., 1991, Stochastic Differential Equations With Applications to Physics and En gineering