<i>A posteriori</i> error analysis of a positivity preserving scheme for the power-law diffusion Keller–Segel model

Abstract We study a finite volume scheme approximating a parabolic-elliptic Keller–Segel system with power-law diffusion with exponent $\gamma \in [1,3]$ and periodic boundary conditions. We derive conditional a posteriori bounds for the error measured in the $L^{\infty }(0,T;H^{1}(\varOmega ))$ norm for the chemoattractant and by a quasi-norm-like quantity for the density. These results are based on stability estimates and suitable conforming reconstructions of the numerical solution. We perform numerical experiments showing that our error bounds are linear in mesh width and elucidating the behavior of the error estimator under changes of $\gamma $.

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Publication Details

Journal
IMA Journal of Numerical Analysis
Published
2024-10-27
DOI
https://doi.org/10.1093/imanum/drae073
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00

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article

A posteriori error analysis of a positivity preserving scheme for the power-law diffusion Keller–Segel model

Niklas Kolbe, Jan Giesselmann
IMA Journal of Numerical Analysis
Mathematical Biology Tumor Growth
article

A posteriori error analysis of a positivity preserving scheme for the power-law diffusion Keller–Segel model

Niklas Kolbe, Jan Giesselmann
article en

Abstract

Abstract We study a finite volume scheme approximating a parabolic-elliptic Keller–Segel system with power-law diffusion with exponent $\gamma \in [1,3]$ and periodic boundary conditions. We derive conditional a posteriori bounds for the error measured in the $L^{\infty }(0,T;H^{1}(\varOmega ))$ norm for the chemoattractant and by a quasi-norm-like quantity for the density. These results are based on stability estimates and suitable conforming reconstructions of the numerical solution. We perform numerical experiments showing that our error bounds are linear in mesh width and elucidating the behavior of the error estimator under changes of $\gamma $.

IMA Journal of Numerical AnalysisVol. 45(5)
Technische Universität Darmstadt (DE), RWTH Aachen University (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 80%
Mathematical Biology Tumor Growth
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