Maximal regularity of evolving FEMs for parabolic equations on an evolving surface

Abstract In this paper, we prove that the spatially semi-discrete evolving finite element methods (FEMs) for parabolic equations on a given evolving hypersurface of arbitrary dimensions preserves the maximal $L^{p}$-regularity at the discrete level. We first establish the results on a stationary surface and then extend them, via a perturbation argument, to the case where the underlying surface is evolving under a prescribed velocity field. The proof combines techniques in evolving FEM, properties of Green’s functions on (discretized) closed surfaces, and local energy estimates for FEMs.

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Publication Details

Journal
IMA Journal of Numerical Analysis
Published
2025-10-02
DOI
https://doi.org/10.1093/imanum/draf082
Citations
1
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
1.50
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article

Maximal regularity of evolving FEMs for parabolic equations on an evolving surface

Genming Bai, Buyang Li, Balázs Kovács
1 citations
IMA Journal of Numerical Analysis
Advanced Mathematical Modeling in Engineering
1.50
article

Maximal regularity of evolving FEMs for parabolic equations on an evolving surface

Genming Bai, Buyang Li, Balázs Kovács
article en
1 citations

Abstract

Abstract In this paper, we prove that the spatially semi-discrete evolving finite element methods (FEMs) for parabolic equations on a given evolving hypersurface of arbitrary dimensions preserves the maximal $L^{p}$-regularity at the discrete level. We first establish the results on a stationary surface and then extend them, via a perturbation argument, to the case where the underlying surface is evolving under a prescribed velocity field. The proof combines techniques in evolving FEM, properties of Green’s functions on (discretized) closed surfaces, and local energy estimates for FEMs.

IMA Journal of Numerical Analysis
Hong Kong Polytechnic University (HK), Paderborn University (DE)
Openalex Percentile: Top 13%
Advanced Mathematical Modeling in Engineering
1.50
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