Issue |
ESAIM: M2AN
Volume 57, Number 4, July-August 2023
|
|
---|---|---|
Page(s) | 2097 - 2129 | |
DOI | https://doi.org/10.1051/m2an/2023048 | |
Published online | 03 July 2023 |
A priori error analysis of new semidiscrete, Hamiltonian HDG methods for the time-dependent Maxwell’s equations
1
School of mathematics, University of Minnesota, Minneapolis, MN 55455, USA
2
Department of Mathematics, University of Wisconsin-Madison, Madison, WI 53706, USA
3
Instituto de Ingeniería Matemática y Computacional, Facultad de Matemáticas y Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
* Corresponding author: sdu49@wisc.edu
Received:
4
November
2022
Accepted:
23
May
2023
We present the first a priori error analysis of a class of space-discretizations by Hybridizable Discontinuous Galerkin (HDG) methods for the time-dependent Maxwell’s equations introduced in Sánchez et al. [Comput. Methods Appl. Mech. Eng. 396 (2022) 114969]. The distinctive feature of these discretizations is that they display a discrete version of the Hamiltonian structure of the original Maxwell’s equations. This is why they are called ``Hamiltonian’’ HDG methods. Because of this, when combined with symplectic time-marching methods, the resulting methods display an energy that does not drift in time. We provide a single analysis for several of these methods by exploiting the fact that they only differ by the choice of the approximation spaces and the stabilization functions. We also introduce a new way of discretizing the static Maxwell’s equations in order to define the initial condition in a manner consistent with our technique of analysis. Finally, we present numerical tests to validate our theoretical orders of convergence and to explore the convergence properties of the method in situations not covered by our analysis.
Mathematics Subject Classification: 65M60 / 74H15 / 74J05 / 74S05
Key words: Time-dependent Maxwell’s equations / symplectic Hamiltonian finite element methods / discontinuous Gakerkin / hybridizable discontinuous Galerkin / error analysis
© The authors. Published by EDP Sciences, SMAI 2023
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