High-Order Energy-Preserving Methods for Stochastic Poisson Systems

High-Order Energy-Preserving Methods for Stochastic Poisson Systems

Year:    2019

East Asian Journal on Applied Mathematics, Vol. 9 (2019), Iss. 3 : pp. 465–484

Abstract

A family of explicit parametric stochastic Runge-Kutta methods for stochastic Poisson systems is developed. The methods are based on perturbed collocation methods with truncated random variables and are energy-preserving. Under certain conditions, the truncation does not change the convergence order. More exactly, the methods retain the mean-square convergence order of the original stochastic Runge-Kutta method. Numerical examples show the efficiency of the methods constructed.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/eajam.290518.310718

East Asian Journal on Applied Mathematics, Vol. 9 (2019), Iss. 3 : pp. 465–484

Published online:    2019-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    20

Keywords:    Stochastic Poisson systems stochastic Runge-Kutta methods energy-preserving mean-square convergence.