A refined first-order expansion formula in Rn : Application to interpolation and finite element error estimates - CNRS - Centre national de la recherche scientifique
Article Dans Une Revue Journal of Computational and Applied Mathematics Année : 2024

A refined first-order expansion formula in Rn : Application to interpolation and finite element error estimates

Franck Assous

Résumé

The aim of this paper is to derive a refined first-order expansion formula in Rn , the goal being to get an optimal reduced remainder, compared to the one obtained by usual Taylor's formula. For a given function, the formula we derived is obtained by introducing a linear combination of the first derivatives, computed at n + 1 equally spaced points. We show how this formula can be applied to two important applications: the interpolation error and the finite elements error estimates. In both cases, we illustrate under which conditions a significant improvement of the errors can be obtained, namely how the use of the refined expansion can reduce the upper bound of error estimates.
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Dates et versions

hal-03832065 , version 1 (27-10-2022)
hal-03832065 , version 2 (16-09-2024)

Identifiants

  • HAL Id : hal-03832065 , version 2

Citer

Joël Chaskalovic, Franck Assous. A refined first-order expansion formula in Rn : Application to interpolation and finite element error estimates. Journal of Computational and Applied Mathematics, 2024, 457. ⟨hal-03832065v2⟩
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