Stability estimates for solving Stokes problem with nonconforming finite elements

We propose to analyse the discretization of the Stokes problem with nonconforming finite elements in light of the T-coercivity. First we exhibit a family of operators to prove T-coercivity and we show that the stability constant is equal to the classical one up to a constant which depends on the Babuška–Aziz constant. Then we explicit the stability constants with respect to the shape regularity parameter for order 1 in 2 or 3 dimensions, and order 2 in 2 dimensions. In this last case, we improve the result of the original Fortin–Soulie paper. Second, we illustrate the importance of using a divergence-free velocity reconstruction on some numerical experiments.

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Publication Details

Journal
Comptes Rendus Mathématique
Published
2025-03-25
DOI
https://doi.org/10.5802/crmath.707
Citations
1
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
1.33
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article

Stability estimates for solving Stokes problem with nonconforming finite elements

Erell Jamelot
1 citations
Comptes Rendus Mathématique
Advanced Numerical Methods in Computational Mathematics
1.33
article

Stability estimates for solving Stokes problem with nonconforming finite elements

Erell Jamelot
article en
1 citations

Abstract

We propose to analyse the discretization of the Stokes problem with nonconforming finite elements in light of the T-coercivity. First we exhibit a family of operators to prove T-coercivity and we show that the stability constant is equal to the classical one up to a constant which depends on the Babuška–Aziz constant. Then we explicit the stability constants with respect to the shape regularity parameter for order 1 in 2 or 3 dimensions, and order 2 in 2 dimensions. In this last case, we improve the result of the original Fortin–Soulie paper. Second, we illustrate the importance of using a divergence-free velocity reconstruction on some numerical experiments.

Comptes Rendus MathématiqueVol. 363(G2)
Openalex Percentile: Top 25%
Advanced Numerical Methods in Computational Mathematics
1.33
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