Journal of Computational and Applied Mathematics2022,Vol.40317.DOI:10.1016/j.cam.2021.113849

Convergence and stability of stochastic theta method for nonlinear stochastic differential equations with piecewise continuous arguments

Zhang, Yuhang Song, Minghui Liu, Mingzhu
Journal of Computational and Applied Mathematics2022,Vol.40317.DOI:10.1016/j.cam.2021.113849

Convergence and stability of stochastic theta method for nonlinear stochastic differential equations with piecewise continuous arguments

Zhang, Yuhang 1Song, Minghui 1Liu, Mingzhu1
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作者信息

  • 1. Harbin Inst Technol
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Abstract

This paper deals with the strong convergence and exponential stability of the stochastic theta (ST) method for stochastic differential equations with piecewise continuous arguments (SDEPCAs) with non-Lipschitzian and non-linear coefficients and mainly includes the following three results: (i) under the local Lipschitz and the monotone conditions, the ST method with theta is an element of [1/2, 1] is strongly convergent to SDEPCAs; (ii) the ST method with theta is an element of (1/2, 1] preserves the exponential mean square stability of SDEPCAs under the monotone condition and some conditions on the step-size; (iii) without any restriction on the step-size, there exists theta* is an element of (1/2, 1] such that the ST method with theta is an element of (theta*, 1] is exponentially stable in mean square. Moreover, for sufficiently small step-size, the rate constant can be reproduced. Some numerical simulations are provided to illustrate the theoretical results. (C) 2021 Elsevier B.V. All rights reserved.

Key words

Stochastic differential equations with piecewise continuous arguments/Super-linear growth/The stochastic theta (ST) method/Convergence of the ST method/Exponential mean square stability/BACKWARD EULER/TIME/STABILIZATION/RATES

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量5
参考文献量27
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