A priori and a posteriori error estimates for discontinuous Galerkin time-discrete methods via maximal regularity

Abstract The maximal regularity property of discontinuous Galerkin methods for linear parabolic equations is used together with variational techniques to establish a priori and a posteriori error estimates of optimal order under optimal regularity assumptions. The analysis is set in the maximal regularity framework of UMD Banach spaces. Similar results were proved in an earlier work, based on the consistency analysis of Radau IIA methods. The present error analysis, which is based on variational techniques, is of independent interest, but the main motivation is that it extends to nonlinear parabolic equations; in contrast to the earlier work. Both autonomous and nonautonomous linear equations are considered.

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Publication Details

Journal
BIT Numerical Mathematics
Published
2025-12-08
DOI
https://doi.org/10.1007/s10543-025-01094-5
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

A priori and a posteriori error estimates for discontinuous Galerkin time-discrete methods via maximal regularity

Georgios Akrivis, Stig Larsson
BIT Numerical Mathematics
Advanced Numerical Methods in Computational Mathematics
article

A priori and a posteriori error estimates for discontinuous Galerkin time-discrete methods via maximal regularity

Georgios Akrivis, Stig Larsson
article en

Abstract

Abstract The maximal regularity property of discontinuous Galerkin methods for linear parabolic equations is used together with variational techniques to establish a priori and a posteriori error estimates of optimal order under optimal regularity assumptions. The analysis is set in the maximal regularity framework of UMD Banach spaces. Similar results were proved in an earlier work, based on the consistency analysis of Radau IIA methods. The present error analysis, which is based on variational techniques, is of independent interest, but the main motivation is that it extends to nonlinear parabolic equations; in contrast to the earlier work. Both autonomous and nonautonomous linear equations are considered.

BIT Numerical MathematicsVol. 66(1)
University of Ioannina (GR), FORTH Institute of Applied and Computational Mathematics (GR), Chalmers University of Technology (SE), University of Gothenburg (SE)
Chalmers Tekniska Högskola, Vetenskapsrådet
Openalex Percentile: Top 60%
Advanced Numerical Methods in Computational Mathematics
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