Convergence and Stability of the Split-Step Theta Method for a Class of Stochastic Volterra Integro-Differential Equations Driven by Lévy Noise

Authors

  • Wei Zhang

DOI:

https://doi.org/10.4208/jcm.2307-m2022-0194

Keywords:

Stochastic Volterra integro-differential equations, Existence and uniqueness, Stability, Split-step theta method, Convergence.

Abstract

In this paper, we investigate the theoretical and numerical analysis of the stochastic Volterra integro-differential equations (SVIDEs) driven by Lévy noise. The existence, uniqueness, boundedness and mean square exponential stability of the analytic solutions for SVIDEs driven by Lévy noise are considered. The split-step theta method of SVIDEs driven by Lévy noise is proposed. The boundedness of the numerical solution and strong convergence are proved. Moreover, its mean square exponential stability is obtained. Some numerical examples are given to support the theoretical results.

Published

2024-11-13

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How to Cite

Convergence and Stability of the Split-Step Theta Method for a Class of Stochastic Volterra Integro-Differential Equations Driven by Lévy Noise. (2024). Journal of Computational Mathematics, 42(6), 1688-1713. https://doi.org/10.4208/jcm.2307-m2022-0194