A mixed finite element method for the stochastic Boussinesq equations with multiplicative noise

Fuente: arXiv
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Main Author: Vo, Liet
Format: Preprint
Published: 2025
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author Vo, Liet
author_facet Vo, Liet
contents This work investigates a fully discrete mixed finite element method for the stochastic Boussinesq system driven by multiplicative noise. The spatial discretization is performed using a standard mixed finite element method, while the temporal discretization is based on a semi-implicit Euler-Maruyama scheme. By combining a localization technique with high-moment stability estimates, we establish error bounds for the velocity, pressure, and temperature approximations. As a direct consequence, we prove convergence in probability for the fully discrete method in both $L^2$ and $H^1$-type norms. Several numerical experiments are presented to validate the theoretical error estimates and demonstrate the effectiveness of the proposed scheme.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21297
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A mixed finite element method for the stochastic Boussinesq equations with multiplicative noise
Vo, Liet
Numerical Analysis
This work investigates a fully discrete mixed finite element method for the stochastic Boussinesq system driven by multiplicative noise. The spatial discretization is performed using a standard mixed finite element method, while the temporal discretization is based on a semi-implicit Euler-Maruyama scheme. By combining a localization technique with high-moment stability estimates, we establish error bounds for the velocity, pressure, and temperature approximations. As a direct consequence, we prove convergence in probability for the fully discrete method in both $L^2$ and $H^1$-type norms. Several numerical experiments are presented to validate the theoretical error estimates and demonstrate the effectiveness of the proposed scheme.
title A mixed finite element method for the stochastic Boussinesq equations with multiplicative noise
topic Numerical Analysis
url https://arxiv.org/abs/2512.21297