Journal Article


An a posteriori error estimator for the spectral fractional power of the Laplacian

Abstract

We develop a novel a posteriori error estimator for the L2 error committed by the finite element discretization of the solution of the fractional Laplacian. Our a posteriori error estimator takes advantage of the semi–discretization scheme using rational approximations which allow to reformulate the fractional problem into a family of non–fractional parametric problems. The estimator involves applying the implicit Bank–Weiser error estimation strategy to each parametric non–fractional problem and reconstructing the fractional error through the same rational approximation used to compute the solution to the original fractional problem. In addition we propose an algorithm to adapt both the finite element mesh and the rational scheme in order to balance the discretization errors. We provide several numerical examples in both two and threedimensions demonstrating the effectivity of our estimator for varying fractional powers and its ability to drive an adaptive mesh refinement strategy.

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Authors

Bulle, Raphaël
Barrera, Olga
Bordas, Stéphane P.A.
Chouly, Franz
Hale, Jack S.

Oxford Brookes departments

School of Engineering, Computing and Mathematics

Dates

Year of publication: 2023
Date of RADAR deposit: 2023-03-13


Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License


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