Optimal Order Time Discretizations for Stochastic Semilinear Wave Equations with Multiplicative Noise

This paper focuses on developing and analyzing two novel implicit temporal discretization methods for the stochastic semilinear wave equations with multiplicative noise. The proposed methods are natural extensions of well-known time discrete schemes for deterministic wave equations; hence, they are easy to implement. It is proven that both methods are energy-stable. Moreover, the first method is shown to converge with the linear order in the energy norm, while the second method converges with the O(τ2) order in the L2-norm, which is optimal with respect to the time regularity of the solution to the underlying stochastic PDE. The convergence analyses of both methods, which are different and quite involved, require some novel numerical techniques to overcome difficulties caused by the interplay between nonlinear drift and diffusion. Numerical experiments are provided to validate the sharpness of the theoretical error estimate results.

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Publication Details

Journal
Communications in Computational Physics
Published
2026-09-04
DOI
https://doi.org/10.4208/cicp.oa-2025-0158
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimal Order Time Discretizations for Stochastic Semilinear Wave Equations with Multiplicative Noise

Xiaobing Feng, Liet Vo, Yukun Li
Communications in Computational Physics
Stochastic processes and financial applications
article

Optimal Order Time Discretizations for Stochastic Semilinear Wave Equations with Multiplicative Noise

Xiaobing Feng, Liet Vo, Yukun Li
article en

Abstract

This paper focuses on developing and analyzing two novel implicit temporal discretization methods for the stochastic semilinear wave equations with multiplicative noise. The proposed methods are natural extensions of well-known time discrete schemes for deterministic wave equations; hence, they are easy to implement. It is proven that both methods are energy-stable. Moreover, the first method is shown to converge with the linear order in the energy norm, while the second method converges with the O(τ2) order in the L2-norm, which is optimal with respect to the time regularity of the solution to the underlying stochastic PDE. The convergence analyses of both methods, which are different and quite involved, require some novel numerical techniques to overcome difficulties caused by the interplay between nonlinear drift and diffusion. Numerical experiments are provided to validate the sharpness of the theoretical error estimate results.

Communications in Computational Physics
University of Central Florida (US), The University of Texas Rio Grande Valley (US), Knoxville College (US), University of Tennessee at Knoxville (US)
National Science Foundation
Openalex Percentile: Top 99%
Stochastic processes and financial applications
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Optimal Order Time Discretizations for Stochastic Semilinear Wave Equations with Multiplicative Noise — Xiaobing Feng, Liet Vo, et al. · Communications in Computational Physics (2026) | TGRS Research Map | TGRS