Inf–sup stabilized Scott–Vogelius pairs on general shape-regular simplicial grids by Raviart–Thomas enrichment

Author:

John Volker12ORCID,Li Xu34ORCID,Merdon Christian1ORCID,Rui Hongxing3ORCID

Affiliation:

1. Weierstrass Institute for Applied Analysis and Stochastics, Leibniz Institute in Forschungsverbund Berlin e.V. (WIAS), Mohrenstr. 39, 10117 Berlin, Germany

2. Freie Universität of Berlin, Department of Mathematics and Computer Science, Arnimallee 6, 14195 Berlin, Germany

3. School of Mathematics, Shandong University, Shanda Nanlu 27, 250100 Jinan, P. R. China

4. Eastern Institute for Advanced Study, Eastern Institute of Technology, Tongxin Road 568, 315200 Ningbo, P. R. China

Abstract

This paper considers the discretization of the Stokes equations with Scott–Vogelius pairs of finite element spaces on arbitrary shape-regular simplicial grids. A novel way of stabilizing these pairs with respect to the discrete inf–sup condition is proposed and analyzed. The key idea consists in enriching the continuous polynomials of order [Formula: see text] of the Scott–Vogelius velocity space with appropriately chosen and explicitly given Raviart–Thomas bubbles. This approach is inspired by [X. Li and H. Rui, A low-order divergence-free [Formula: see text]-conforming finite element method for Stokes flows, IMA J. Numer. Anal. 42 (2022) 3711–3734], where the case [Formula: see text] was studied. The proposed method is pressure-robust, with optimally converging [Formula: see text]-conforming velocity and a small [Formula: see text]-conforming correction rendering the full velocity divergence-free. For [Formula: see text], with [Formula: see text] being the dimension, the method is parameter-free. Furthermore, it is shown that the additional degrees of freedom for the Raviart–Thomas enrichment and also all non-constant pressure degrees of freedom can be eliminated, effectively leading to a pressure-robust, inf–sup stable, optimally convergent [Formula: see text] scheme. Aspects of the implementation are discussed and numerical studies confirm the analytic results.

Funder

China Scholarship Council

National Natural Science Foundation of China

German Science Foundation

Publisher

World Scientific Pub Co Pte Ltd

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