| Issue |
ESAIM: M2AN
Volume 60, Number 1, January-February 2026
|
|
|---|---|---|
| Page(s) | 1 - 23 | |
| DOI | https://doi.org/10.1051/m2an/2025091 | |
| Published online | 30 January 2026 | |
A quasi-interpolation operator yielding fully computable error bounds
1
Inria, Univ. Lille, CNRS, UMR 8524 Laboratoire Paul Painlevé, 40 Av. Halley, 59650 Villeneuve-d'Ascq, France
2
Inria, 48 rue Barrault, 75647 Paris, France
3
CERMICS, Ecole nationale des ponts et chaussées, IP Paris, 77455 Marne-la-Vallée, France
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
16
July
2025
Accepted:
17
October
2025
We design a quasi-interpolation operator from the Sobolev space H01(Ω) to its finite-dimensional finite element subspace formed by piecewise polynomials on a simplicial mesh with a computable approximation constant. The operator (1) is defined on the entire H01(Ω), no additional regularity is needed; (2) allows for an arbitrary polynomial degree; (3) works in any space dimension; (4) is defined locally, in vertex patches of mesh elements; (5) yields estimates optimal in the mesh size h for both the H1 seminorm and the L2 norm error; (6) yields estimates that bound the error in each computational mesh element by the best-approximation error in the element and in its vertex neighbors; (7) gives a computable constant for both the H1 seminorm and the L2 norm error; (8) leads to the equivalence of global-best and local-best errors; (9) possesses the projection property. Its construction follows the so-called potential reconstruction from a posteriori error analysis. Numerical experiments illustrate that our quasi-interpolation operator systematically gives the correct convergence rates in both the H1 seminorm and the L2 norm and its certified overestimation factor is rather sharp and stable in all tested situations.
Mathematics Subject Classification: 65N30 / 65N15 / 65D05
Key words: Finite element method / interpolation operator / stable projection / error estimate / guaranteed bound
© The authors. Published by EDP Sciences, SMAI 2026
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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