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arXiv · 2209.15286

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

Joel Chaskalovic·Franck Assous
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Abstract

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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Joel Chaskalovic, Franck Assous. 2022-09-30. A refined first-order expansion formula in Rn: Application to interpolation and finite element error estimates. https://arxiv.org/abs/2209.15286

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