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Space-Time Approximation of Stochastic $p$-Laplace-Type Systems
SIAM Journal on Numerical Analysis ( IF 2.8 ) Pub Date : 2021-08-12 , DOI: 10.1137/20m1334310
Dominic Breit , Martina Hofmanová , Sébastien Loisel

SIAM Journal on Numerical Analysis, Volume 59, Issue 4, Page 2218-2236, January 2021.
We consider systems of stochastic evolutionary equations of p-Laplace type. We establish convergence rates for a finite-element-based space-time approximation, where the error is measured in a suitable quasi-norm. Under natural regularity assumptions on the solution, our main result provides linear convergence in space and convergence of order (almost) 1/2 in time. The key ingredient of our analysis is a random time-grid, which allows us to compensate for the lack of time regularity. Our theoretical results are confirmed by numerical experiments.


中文翻译:

随机$p$-拉普拉斯型系统的时空逼近

SIAM 数值分析杂志,第 59 卷,第 4 期,第 2218-2236 页,2021 年 1 月。
我们考虑 p-拉普拉斯型随机演化方程组。我们为基于有限元的时空近似建立收敛率,其中误差以合适的准范数测量。在解的自然规律性假设下,我们的主要结果提供空间线性收敛和时间收敛(几乎)1/2 阶。我们分析的关键要素是随机时间网格,它使我们能够弥补时间规律性的不足。我们的理论结果得到了数值实验的证实。
更新日期:2021-08-13
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