Convergence Analysis of a Splitting Method for Stochastic Differential Equations

Convergence Analysis of a Splitting Method for Stochastic Differential Equations

Year:    2008

International Journal of Numerical Analysis and Modeling, Vol. 5 (2008), Iss. 4 : pp. 673–692

Abstract

In this paper, we propose a fully drift-implicit splitting numerical scheme for the stochastic differential equations driven by the standard $d$-dimensional Brownian motion. We prove that its strong convergence rate is of the same order as the standard Euler-Maruyama method. Some numerical experiments are also carried out to demonstrate this property. This scheme allows us to use the latest information inside each iteration in the Euler-Maruyama method so that better approximate solutions could be obtained than the standard approach.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2008-IJNAM-832

International Journal of Numerical Analysis and Modeling, Vol. 5 (2008), Iss. 4 : pp. 673–692

Published online:    2008-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    20

Keywords:    stochastic differential equation drift-implicit splitting scheme Brownian motion.