A quasi-interpolation operator yielding fully computable error bounds

We design a quasi-interpolation operator from the Sobolev space H 0 1 (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 H 0 1 (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 H 1 seminorm and the L 2 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 H 1 seminorm and the L 2 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 H 1 seminorm and the L 2 norm and its certified overestimation factor is rather sharp and stable in all tested situations.

Authors

Institutions

Publication Details

Journal
ESAIM. Mathematical modelling and numerical analysis
Published
2025-10-20
DOI
https://doi.org/10.1051/m2an/2025091
Primary Topic
Digital Filter Design and Implementation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A quasi-interpolation operator yielding fully computable error bounds

Martin Vohralı́k, Théophile Chaumont-Frelet
ESAIM. Mathematical modelling and numerical analysis
Digital Filter Design and Implementation
article

A quasi-interpolation operator yielding fully computable error bounds

Martin Vohralı́k, Théophile Chaumont-Frelet
article en

Abstract

We design a quasi-interpolation operator from the Sobolev space H 0 1 (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 H 0 1 (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 H 1 seminorm and the L 2 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 H 1 seminorm and the L 2 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 H 1 seminorm and the L 2 norm and its certified overestimation factor is rather sharp and stable in all tested situations.

ESAIM. Mathematical modelling and numerical analysisVol. 60(1)
Institut national de recherche en sciences et technologies du numérique (FR), École nationale des ponts et chaussées (FR), CERMICS (FR), Laboratoire Paul Painlevé (FR)
Openalex Percentile: Top 63%
Digital Filter Design and Implementation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A quasi-interpolation operator yielding fully computable error bounds — Martin Vohralı́k, Théophile Chaumont-Frelet · ESAIM. Mathematical modelling and numerical analysis (2025) | TGRS Research Map | TGRS