Geometry error analysis of a parametric mapping for higher order unfitted space–time methods

Abstract In Heimann, Lehrenfeld, and Preuß (2023, SIAM J. Sci. Comp., 45(2), B139–B165), new geometrically unfitted space–time Finite Element methods for partial differential equations posed on moving domains of higher-order accuracy in space and time have been introduced. For geometrically higher-order accuracy a parametric mapping on a background space–time tensor-product mesh has been used. In this paper, we concentrate on the geometrical accuracy of the approximation and derive rigorous bounds for the distance between the realized and an ideal mapping in different norms and derive results for the space–time regularity of the parametric mapping. These results are important and lay the ground for the error analysis of corresponding unfitted space–time finite element methods.

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Publication Details

Journal
IMA Journal of Numerical Analysis
Published
2024-12-03
DOI
https://doi.org/10.1093/imanum/drae098
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
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article

Geometry error analysis of a parametric mapping for higher order unfitted space–time methods

Christoph Lehrenfeld, Fabian Heimann
IMA Journal of Numerical Analysis
Advanced Numerical Analysis Techniques
article

Geometry error analysis of a parametric mapping for higher order unfitted space–time methods

Christoph Lehrenfeld, Fabian Heimann
article en

Abstract

Abstract In Heimann, Lehrenfeld, and Preuß (2023, SIAM J. Sci. Comp., 45(2), B139–B165), new geometrically unfitted space–time Finite Element methods for partial differential equations posed on moving domains of higher-order accuracy in space and time have been introduced. For geometrically higher-order accuracy a parametric mapping on a background space–time tensor-product mesh has been used. In this paper, we concentrate on the geometrical accuracy of the approximation and derive rigorous bounds for the distance between the realized and an ideal mapping in different norms and derive results for the space–time regularity of the parametric mapping. These results are important and lay the ground for the error analysis of corresponding unfitted space–time finite element methods.

IMA Journal of Numerical AnalysisVol. 45(6)
Applied Mathematics (United States) (US), University College London (GB), University of Göttingen (DE)
Openalex Percentile: Top 71%
Advanced Numerical Analysis Techniques
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