Issue |
ESAIM: M2AN
Volume 58, Number 2, March-April 2024
|
|
---|---|---|
Page(s) | 457 - 488 | |
DOI | https://doi.org/10.1051/m2an/2024006 | |
Published online | 09 April 2024 |
Error estimates for finite element discretizations of the instationary Navier–Stokes equations
Chair of Optimal Control, Technical University of Munich, School of Computation Information and Technology, Department of Mathematics, Boltzmannstraße 3, 85748 Garching bei Munich, Germany
* Corresponding author: wagnerja@cit.tum.de
Received:
26
June
2023
Accepted:
23
January
2024
In this work we consider the two dimensional instationary Navier–Stokes equations with homogeneous Dirichlet/no-slip boundary conditions. We show error estimates for the fully discrete problem, where a discontinuous Galerkin method in time and inf-sup stable finite elements in space are used. Recently, best approximation type error estimates for the Stokes problem in the L∞(I; L2(Ω)), L2(I; H1(Ω)) and L2(I; L2(Ω)) norms have been shown. The main result of the present work extends the error estimate in the L∞(I; L2(Ω)) norm to the Navier–Stokes equations, by pursuing an error splitting approach and an appropriate duality argument. In order to discuss the stability of solutions to the discrete primal and dual equations, a specially tailored discrete Gronwall lemma is presented. The techniques developed towards showing the L∞(I; L2(Ω)) error estimate, also allow us to show best approximation type error estimates in the L2(I; H1(Ω)) and L2(I; L2(Ω)) norms, which complement this work.
Mathematics Subject Classification: 35Q30 / 65M60 / 65M15 / 65M22 / 76D05 / 76M10
Key words: Navier–Stokes / transient instationary / finite elements / discontinuous Galerkin / error estimates / best approximation / fully discrete
© The authors. Published by EDP Sciences, SMAI 2024
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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