A Hodge Decomposition Finite Element Method for an Elliptic Maxwell Boundary Value Problem on General Polyhedral Domains

Abstract We develop a finite element method for an elliptic Maxwell boundary value problem on polyhedral domains in <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msup> <m:mi>ℝ</m:mi> <m:mn>3</m:mn> </m:msup> </m:math> {\mathbb{R}^{3}} with a general topology. Our method is based on a Hodge decomposition approach that leads to standard scalar elliptic problems and elliptic saddle point problems for vector potentials that have previously been investigated in the study of fluid flow problems. We carry out an error analysis that does not involve assumed regularity of the solution and present corroborating numerical results.

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Publication Details

Journal
Computational Methods in Applied Mathematics
Published
2025-08-29
DOI
https://doi.org/10.1515/cmam-2025-0100
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

A Hodge Decomposition Finite Element Method for an Elliptic Maxwell Boundary Value Problem on General Polyhedral Domains

Casey Cavanaugh, Susanne C. Brenner, Li-Yeng Sung
Computational Methods in Applied Mathematics
Advanced Numerical Methods in Computational Mathematics
article

A Hodge Decomposition Finite Element Method for an Elliptic Maxwell Boundary Value Problem on General Polyhedral Domains

Casey Cavanaugh, Susanne C. Brenner, Li-Yeng Sung
article en

Abstract

Abstract We develop a finite element method for an elliptic Maxwell boundary value problem on polyhedral domains in <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msup> <m:mi>ℝ</m:mi> <m:mn>3</m:mn> </m:msup> </m:math> {\mathbb{R}^{3}} with a general topology. Our method is based on a Hodge decomposition approach that leads to standard scalar elliptic problems and elliptic saddle point problems for vector potentials that have previously been investigated in the study of fluid flow problems. We carry out an error analysis that does not involve assumed regularity of the solution and present corroborating numerical results.

Computational Methods in Applied MathematicsVol. 25(4)
Louisiana State University (US)
National Science Foundation
Openalex Percentile: Top 76%
Advanced Numerical Methods in Computational Mathematics
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