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.
Authors
- Xiaobing Feng (ORCID: https://orcid.org/0000-0002-9191-9092)
- Liet Vo (ORCID: https://orcid.org/0000-0003-2389-0125)
- Yukun Li (ORCID: https://orcid.org/0000-0002-8192-6475)
Institutions
- University of Central Florida (US)
- The University of Texas Rio Grande Valley (US)
- Knoxville College (US)
- University of Tennessee at Knoxville (US)
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
Funders
- National Science Foundation