Elliptic reconstruction and a posteriori error estimates for fully discrete linear parabolic problems

Fuente: arXiv
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Main Authors: Lakkis, Omar, Makridakis, Charalambos
Format: Preprint
Published: 2024
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author Lakkis, Omar
Makridakis, Charalambos
author_facet Lakkis, Omar
Makridakis, Charalambos
contents We derive aposteriori error estimates for fully discrete approximations to solutions of linear parabolic equations on the space-time domain. The space discretization uses finite element spaces, that are allowed to change in time. Our main tool is an appropriate adaptation of the elliptic reconstruction technique, introduced by Makridakis and Nochetto (2003). We derive novel optimal order aposteriori error estimates for the maximum-in-time and mean-square-in-space norm and the mean-square in space-time of the time-derivative norm.
format Preprint
id arxiv_https___arxiv_org_abs_2412_05913
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Elliptic reconstruction and a posteriori error estimates for fully discrete linear parabolic problems
Lakkis, Omar
Makridakis, Charalambos
Numerical Analysis
65N30, 35K15, 65N15
G.1.8
We derive aposteriori error estimates for fully discrete approximations to solutions of linear parabolic equations on the space-time domain. The space discretization uses finite element spaces, that are allowed to change in time. Our main tool is an appropriate adaptation of the elliptic reconstruction technique, introduced by Makridakis and Nochetto (2003). We derive novel optimal order aposteriori error estimates for the maximum-in-time and mean-square-in-space norm and the mean-square in space-time of the time-derivative norm.
title Elliptic reconstruction and a posteriori error estimates for fully discrete linear parabolic problems
topic Numerical Analysis
65N30, 35K15, 65N15
G.1.8
url https://arxiv.org/abs/2412.05913