Back to Search Start Over

Conservative Continuous-Stage Stochastic Runge–Kutta Methods for Stochastic Differential Equations

Authors :
Xiuyan Li
Zhenyu Wang
Qiang Ma
Xiaohua Ding
Source :
Fractal and Fractional, Vol 7, Iss 1, p 83 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

In this paper, we develop a new class of conservative continuous-stage stochastic Runge–Kutta methods for solving stochastic differential equations with a conserved quantity. The order conditions of the continuous-stage stochastic Runge–Kutta methods are given based on the theory of stochastic B-series and multicolored rooted tree. Sufficient conditions for the continuous-stage stochastic Runge–Kutta methods preserving the conserved quantity of stochastic differential equations are derived in terms of the coefficients. Conservative continuous-stage stochastic Runge–Kutta methods of mean square convergence order 1 for general stochastic differential equations, as well as conservative continuous-stage stochastic Runge–Kutta methods of high order for single integrand stochastic differential equations, are constructed. Numerical experiments are performed to verify the conservative property and the accuracy of the proposed methods in the longtime simulation.

Details

Language :
English
ISSN :
25043110
Volume :
7
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Fractal and Fractional
Publication Type :
Academic Journal
Accession number :
edsdoj.fcc858854ad472cb2a751b1d4e7b7ec
Document Type :
article
Full Text :
https://doi.org/10.3390/fractalfract7010083