Issue |
ESAIM: M2AN
Volume 59, Number 3, May-June 2025
|
|
---|---|---|
Page(s) | 1301 - 1331 | |
DOI | https://doi.org/10.1051/m2an/2025030 | |
Published online | 14 May 2025 |
High moment and pathwise error estimates for fully discrete mixed finite element approximations of the stochastic Stokes equations with multiplicative noise
School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, TX 78539, USA
* Corresponding author: liet.vo@utrgv.edu
Received:
12
December
2023
Accepted:
5
April
2025
This paper is concerned with high moment and pathwise error estimates for both velocity and pressure approximations of the Euler–Maruyama scheme for time discretization and its fully discrete mixed finite element discretization. Optimal rates of convergence are established for all pth moment errors for p ≥ 2 using a novel doubling of moments technique. The almost optimal rates of convergence are then obtained using Kolmogorov’s theorem based on the high moment error estimates. Unlike for the velocity error estimate, the high moment and pathwise error estimates for the pressure approximation are proved in a time-averaged norm. In addition, the impact of noise types on the rates of convergence for both velocity and pressure approximations is also addressed. Finally, numerical experiments are also provided to validate the proven theoretical results and to examine the dependence/growth of the error constants on the moment order p.
Mathematics Subject Classification: 65N12 / 65N15 / 65N30
Key words: Stochastic Stokes equations / multiplicative noise / Wiener process / Itô stochastic integral / Euler–Maruyama scheme / mixed finite element method / high moment error estimates
© The authors. Published by EDP Sciences, SMAI 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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