A Priori and A Posteriori Error Identities for Vectorial Problems via Convex Duality

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Auteurs principaux: Gazca-Orozco, P. A., Kaltenbach, A.
Format: Preprint
Publié: 2026
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author Gazca-Orozco, P. A.
Kaltenbach, A.
author_facet Gazca-Orozco, P. A.
Kaltenbach, A.
contents Convex duality has been leveraged in recent years to derive a posteriori error estimates and identities for a wide range of non-linear and non-smooth scalar problems. By employing remarkable compatibility properties of the Crouzeix-Raviart and Raviart-Thomas elements, optimal convergence of non-conforming discretisations and flux reconstruction formulas have also been established. This paper aims to extend these results to the vectorial setting, focusing on the archetypical problems of incompressible Stokes and Navier-Lamé. Moreover, unlike most previous results, we consider inhomogeneous mixed boundary conditions and loads in the topological dual of the energy space. At the discrete level, we derive error identities and estimates that enable to prove quasi-optimal error estimates for a Crouzeix-Raviart discretisation with minimal regularity assumptions and no data oscillation terms.
format Preprint
id arxiv_https___arxiv_org_abs_2602_04368
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A Priori and A Posteriori Error Identities for Vectorial Problems via Convex Duality
Gazca-Orozco, P. A.
Kaltenbach, A.
Numerical Analysis
49M29, 65N15, 65N30, 65N50, 74F10, 74B05}
Convex duality has been leveraged in recent years to derive a posteriori error estimates and identities for a wide range of non-linear and non-smooth scalar problems. By employing remarkable compatibility properties of the Crouzeix-Raviart and Raviart-Thomas elements, optimal convergence of non-conforming discretisations and flux reconstruction formulas have also been established. This paper aims to extend these results to the vectorial setting, focusing on the archetypical problems of incompressible Stokes and Navier-Lamé. Moreover, unlike most previous results, we consider inhomogeneous mixed boundary conditions and loads in the topological dual of the energy space. At the discrete level, we derive error identities and estimates that enable to prove quasi-optimal error estimates for a Crouzeix-Raviart discretisation with minimal regularity assumptions and no data oscillation terms.
title A Priori and A Posteriori Error Identities for Vectorial Problems via Convex Duality
topic Numerical Analysis
49M29, 65N15, 65N30, 65N50, 74F10, 74B05}
url https://arxiv.org/abs/2602.04368