The semi-implicit Euler-Maruyama method for nonlinear non-autonomous stochastic differential equations driven by a class of L\'evy processes
Numerical Analysis
2023-11-21 v2 Numerical Analysis
Probability
Abstract
The strong convergence of the semi-implicit Euler-Maruyama (EM) method for stochastic differential equations with non-linear coefficients driven by a class of L\'evy processes is investigated. The dependence of the convergence order of the numerical scheme on the parameters of the class of L\'evy processes is discovered, which is different from existing results. In addition, the existence and uniqueness of numerical invariant measure of the semi-implicit EM method is studied and its convergence to the underlying invariant measure is also proved. Numerical examples are provided to confirm our theoretical results.
Cite
@article{arxiv.2212.14311,
title = {The semi-implicit Euler-Maruyama method for nonlinear non-autonomous stochastic differential equations driven by a class of L\'evy processes},
author = {Xiaotong Li and Wei Liu and Hongjiong Tian},
journal= {arXiv preprint arXiv:2212.14311},
year = {2023}
}
Comments
16 pages, 6 figures