We study the problem , where f has a point-singularity. In particular, we are interested in f = δ$$, a Dirac delta with support in x0, but singularities of the form f ~ |x − x0|−s are also considered. We prove the stability of the Galerkin projection on graded meshes in weighted spaces, with weights given by powers of the distance to x0. We also recover optimal rates of convergence for the finite element method on these graded meshes. Our approach is general and holds both in two and three dimensions. Numerical experiments are shown that verify our results, and lead to interesting observations.
Keywords: Weighted Sobolev spaces, $$ error estimates, finite elements
@article{M2AN_2021__55_S1_S879_0,
author = {Ojea, Ignacio},
title = {Optimal \protect\emph{a priori} error estimates in weighted {Sobolev} spaces for the {Poisson} problem with singular sources},
journal = {ESAIM: Mathematical Modelling and Numerical Analysis },
pages = {S879--S907},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
number = {Suppl\'ement},
doi = {10.1051/m2an/2020065},
zbl = {1473.35126},
language = {en},
url = {https://www.numdam.org/articles/10.1051/m2an/2020065/}
}
TY - JOUR AU - Ojea, Ignacio TI - Optimal a priori error estimates in weighted Sobolev spaces for the Poisson problem with singular sources JO - ESAIM: Mathematical Modelling and Numerical Analysis PY - 2021 SP - S879 EP - S907 VL - 55 IS - Supplément PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/m2an/2020065/ DO - 10.1051/m2an/2020065 LA - en ID - M2AN_2021__55_S1_S879_0 ER -
%0 Journal Article %A Ojea, Ignacio %T Optimal a priori error estimates in weighted Sobolev spaces for the Poisson problem with singular sources %J ESAIM: Mathematical Modelling and Numerical Analysis %D 2021 %P S879-S907 %V 55 %N Supplément %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/m2an/2020065/ %R 10.1051/m2an/2020065 %G en %F M2AN_2021__55_S1_S879_0
Ojea, Ignacio. Optimal a priori error estimates in weighted Sobolev spaces for the Poisson problem with singular sources. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 55 (2021), pp. S879-S907. doi: 10.1051/m2an/2020065
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