Optimal Error Estimates of a Discontinuous Galerkin Method for Stochastic Allen-Cahn Equation Driven by Multiplicative Noise

Optimal Error Estimates of a Discontinuous Galerkin Method for Stochastic Allen-Cahn Equation Driven by Multiplicative Noise

Year:    2024

Author:    Xu Yang, Weidong Zhao, Wenju Zhao

Communications in Computational Physics, Vol. 36 (2024), Iss. 1 : pp. 133–159

Abstract

In this paper, we develop and analyze an efficient discontinuous Galerkin method for stochastic Allen-Cahn equation driven by multiplicative noise. The proposed method is realized by symmetric interior penalty discontinuous Galerkin finite element method for space domain and implicit Euler method for time domain. Several new estimates and techniques are developed. Under some suitable regularity assumptions, we rigorously establish strong convergence results for the proposed fully discrete numerical scheme and obtain optimal convergence rates in both space and time. Numerical experiments are also carried out to validate our theoretical results and demonstrate the effectiveness of the proposed method.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2023-0280

Communications in Computational Physics, Vol. 36 (2024), Iss. 1 : pp. 133–159

Published online:    2024-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    27

Keywords:    Stochastic Allen-Cahn equation strong convergence discontinuous Galerkin method variational solution multiplicative noise.

Author Details

Xu Yang

Weidong Zhao

Wenju Zhao

  1. Legendre spectral volume methods for Allen–Cahn equations by the direct discontinuous Galerkin formula

    Guan, Chaoyue

    Sun, Yuli

    Niu, Jing

    Applied Mathematics Letters, Vol. 162 (2025), Iss. P.109382

    https://doi.org/10.1016/j.aml.2024.109382 [Citations: 0]