A posteriori error control for a discontinuous Galerkin approximation of a Keller-Segel model

Abstract We provide a posteriori error estimates for a discontinuous Galerkin scheme for the parabolic-elliptic Keller-Segel system in 2 or 3 space dimensions. The estimates are conditional in the sense that an a posteriori computable quantity needs to be small enough—which can be ensured by mesh refinement—and optimal in the sense that the error estimator decays with the same order as the error under mesh refinement. A specific feature of our error estimator is that it can be used to prove the existence of a weak solution up to a certain time based on numerical results.

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Publication Details

Journal
Advances in Computational Mathematics
Published
2024-12-01
DOI
https://doi.org/10.1007/s10444-024-10212-w
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00

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article

A posteriori error control for a discontinuous Galerkin approximation of a Keller-Segel model

Jan Giesselmann, Kiwoong Kwon
Advances in Computational Mathematics
Mathematical Biology Tumor Growth
article

A posteriori error control for a discontinuous Galerkin approximation of a Keller-Segel model

Jan Giesselmann, Kiwoong Kwon
article en

Abstract

Abstract We provide a posteriori error estimates for a discontinuous Galerkin scheme for the parabolic-elliptic Keller-Segel system in 2 or 3 space dimensions. The estimates are conditional in the sense that an a posteriori computable quantity needs to be small enough—which can be ensured by mesh refinement—and optimal in the sense that the error estimator decays with the same order as the error under mesh refinement. A specific feature of our error estimator is that it can be used to prove the existence of a weak solution up to a certain time based on numerical results.

Advances in Computational MathematicsVol. 50(6)
Kyungpook National University (KR), Technische Universität Darmstadt (DE)
Deutsche Forschungsgemeinschaft, National Research Foundation of Korea, Technische Universität Darmstadt
Openalex Percentile: Top 75%
Mathematical Biology Tumor Growth
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