Analysis of a Backward Euler-type Scheme for Maxwell's Equations in a Havriliak-Negami Dispersive Medium
Yubo Yang, Li-Lian Wang, Fanhai Zeng

TL;DR
This paper develops and analyzes a stable backward Euler-type numerical scheme for Maxwell's equations in Havriliak-Negami dispersive media, ensuring energy decay, efficiency, and accuracy, with applications to permittivity recovery.
Contribution
It introduces a novel unconditionally stable semi-discrete scheme with a fast convolution algorithm for H-N media and demonstrates its effectiveness through numerical experiments.
Findings
The scheme is unconditionally stable with monotonic energy decay.
The fast convolution algorithm reduces computational burden.
Numerical results confirm high accuracy and efficiency.
Abstract
For the Maxwell's equations in a Havriliak-Negami (H-N) dispersive medium, the associated energy dissipation law has not been settled at both continuous level and discrete level. In this paper, we rigorously show that the energy of the H-N model can be bounded by the initial energy and the model is well-posed. We analyse a backward Euler-type semi-discrete scheme, and prove that the modified discrete energy decays monotonically in time. Such a strong stability ensures that the scheme is unconditionally stable. We also introduce a fast temporal convolution algorithm to alleviate the burden of the history dependence in the polarisation relation involving the singular kernel with the Mittag-Leffler function with three parameters. We provide ample numerical results to demonstrate the efficiency and accuracy of a full-discrete scheme via a spectra-Galerkin method in two dimensions. Finally,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectromagnetic Simulation and Numerical Methods · Electromagnetic Scattering and Analysis · Numerical methods in inverse problems
