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A stabilized [formula omitted] domain decomposition finite element method for time harmonic Maxwell's equations.

Authors :
Asadzadeh, M.
Beilina, L.
Source :
Mathematics & Computers in Simulation. Feb2023, Vol. 204, p556-574. 19p.
Publication Year :
2023

Abstract

One way of improving the behavior of finite element schemes for classical, time-dependent Maxwell's equations is to render their hyperbolic character to elliptic form. This paper is devoted to the study of a stabilized linear, domain decomposition, finite element method for the time harmonic Maxwell's equations, in a dual form, obtained through the Laplace transformation in time. The model problem is for the particular case of the dielectric permittivity function which is assumed to be constant in a boundary neighborhood. The discrete problem is coercive in a symmetrized norm, equivalent to the discrete norm of the model problem. This yields discrete stability, which together with continuity guarantees the well-posedness of the discrete problem, cf Arnold et al. (2002) [3] , Di Pietro and Ern (2012) [45]. The convergence is addressed both in a priori and a posteriori settings. In the a priori error estimates we confirm the theoretical convergence of the scheme in a L 2 -based, gradient dependent, triple norm. The order of convergence is O (h) in weighted Sobolev space H w 2 (Ω) , and hence optimal. Here, the weight w ≔ w (ɛ , s) where ɛ is the dielectric permittivity function and s is the Laplace transformation variable. We also derive, similar, optimal a posteriori error estimates controlled by a certain, weighted, norm of the residuals of the computed solution over the domain and at the boundary (involving the relevant jump terns) and hence independent of the unknown exact solution. The a posteriori approach is used, e.g. in constructing adaptive algorithms for the computational purposes, which is the subject of a forthcoming paper. Finally, through implementing several numerical examples, we validate the robustness of the proposed scheme. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03784754
Volume :
204
Database :
Academic Search Index
Journal :
Mathematics & Computers in Simulation
Publication Type :
Periodical
Accession number :
159743252
Full Text :
https://doi.org/10.1016/j.matcom.2022.08.013