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Modified Split-Step Theta Method for Stochastic Differential Equations Driven By Fractional Brownian Motion
Jingjun Zhao, Hao Zhou and Yang Xu

J. Comp. Math. DOI: 10.4208/jcm.2301-m2022-0088

Publication Date : 2023-10-13

  • Abstract

For solving the stochastic differential equations driven by fractional Brownian motion, we present the modified split-step theta method by combining truncated Euler-Maruyama method with split-step theta method. For the problem under a locally Lipschitz condition and a linear growth condition, we analyze the strong convergence and the exponential stability of the proposed method. Moreover, for the stochastic delay differential equations with locally Lipschitz drift condition and globally Lipschitz diffusion condition, we give the order of convergence. Finally, numerical experiments are done to confirm the theoretical conclusions.

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