Numerical Simulations for Parabolic Stochastic Equations Using a Structure-Preserving Local Discontinuous Galerkin Method

In this paper, a structure-preserving local discontinuous Galerkin (LDG) method is proposed for parabolic stochastic partial differential equations with periodic boundary conditions and multiplicative noise. It is proven that under certain conditions, this numerical method is stable in the L2 sense and can preserve energy conservation. The optimal spatial error estimate in the mean square sense can reach n+1 if the degree of the polynomial is n. The correctness of the theoretical results is verified through numerical examples.

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Journal
Axioms
Published
2025-05-08
DOI
https://doi.org/10.3390/axioms14050357
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical Simulations for Parabolic Stochastic Equations Using a Structure-Preserving Local Discontinuous Galerkin Method

Mengqin Han, Zhenyu Wang, Xiaohua Ding
Axioms
Advanced Numerical Methods in Computational Mathematics
article

Numerical Simulations for Parabolic Stochastic Equations Using a Structure-Preserving Local Discontinuous Galerkin Method

Mengqin Han, Zhenyu Wang, Xiaohua Ding
article en

Abstract

In this paper, a structure-preserving local discontinuous Galerkin (LDG) method is proposed for parabolic stochastic partial differential equations with periodic boundary conditions and multiplicative noise. It is proven that under certain conditions, this numerical method is stable in the L2 sense and can preserve energy conservation. The optimal spatial error estimate in the mean square sense can reach n+1 if the degree of the polynomial is n. The correctness of the theoretical results is verified through numerical examples.

AxiomsVol. 14(5)
Harbin Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 89%
Advanced Numerical Methods in Computational Mathematics
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