An ultraweak space-time variational formulation for the wave equation: Analysis and efficient numerical solution

IF 1.9 3区 数学 Q2 Mathematics
K. Urban, Julian Henning, D. Palitta, V. Simoncini
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引用次数: 15

Abstract

We introduce an ultraweak space-time variational formulation for the wave equation, prove its well-posedness (even in the case of minimal regularity) and optimal inf-sup stability.  Then, we introduce a tensor product-style space-time Petrov-Galerkin discretization with optimal discrete inf-sup stability, obtained by a non-standard definition of the trial space. As a consequence, the numerical approximation error is equal to the residual, which is particularly useful for a posteriori error estimation.     For the arising discrete linear systems in space and time, we  introduce efficient numerical solvers that appropriately exploit the equation structure, either at the preconditioning level or in the approximation phase by using a tailored Galerkin projection. This Galerkin method shows competitive behavior concerning wall-clock time, accuracy and memory as compared with a standard time-stepping method in particular in low regularity cases. Numerical experiments with a 3D (in space) wave equation illustrate our findings.
波动方程的超弱时空变分公式:分析与有效数值解
我们引入了波动方程的一个超弱时空变分公式,证明了它的适定性(即使在最小正则性的情况下)和最优支撑稳定性。然后,通过非标准的试验空间定义,引入具有最优离散稳定性的张量积型时空Petrov-Galerkin离散化。因此,数值近似误差等于残差,这对于后验误差估计特别有用。对于空间和时间中出现的离散线性系统,我们引入了有效的数值求解器,通过使用定制的伽辽金投影,在预处理水平或近似阶段适当地利用方程结构。与标准时间步进方法相比,这种Galerkin方法在挂钟时间、精度和内存方面表现出竞争行为,特别是在低规律性情况下。三维(空间)波动方程的数值实验说明了我们的发现。
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来源期刊
CiteScore
2.70
自引率
5.30%
发文量
27
审稿时长
6-12 weeks
期刊介绍: M2AN publishes original research papers of high scientific quality in two areas: Mathematical Modelling, and Numerical Analysis. Mathematical Modelling comprises the development and study of a mathematical formulation of a problem. Numerical Analysis comprises the formulation and study of a numerical approximation or solution approach to a mathematically formulated problem. Papers should be of interest to researchers and practitioners that value both rigorous theoretical analysis and solid evidence of computational relevance.
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