Exponential convergence of perfectly matched layers for scattering problems with periodic surfaces
Ruming Zhang

TL;DR
This paper proves that the perfectly matched layers (PML) method for scattering problems with periodic surfaces converges exponentially with respect to the PML parameter, extending previous linear convergence results and addressing a key open question.
Contribution
The paper establishes exponential convergence of PML for periodic surface scattering problems, answering an open question and extending prior linear convergence results.
Findings
Exponential convergence of PML is proven for periodic surface scattering problems.
The proof uses Floquet-Bloch transform and complex analysis techniques.
Numerical results support the theoretical exponential convergence.
Abstract
The main task in this paper is to prove that the perfectly matched layers (PML) method converges exponentially with respect to the PML parameter, for scattering problems with periodic surfaces. In [5], a linear convergence is proved for the PML method for scattering problems with rough surfaces. At the end of that paper, three important questions are asked, and the third question is if exponential convergence holds locally. In our paper, we answer this question for a special case, which is scattering problems with periodic surfaces. The result can also be easily extended to locally perturbed periodic surfaces or periodic layers. Due to technical reasons, we have to exclude all the half integer valued wavenumbers. The main idea of the proof is to apply the Floquet-Bloch transform to write the problem into an equivalent family of quasi-periodic problems, and then study the analytic…
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 Scattering and Analysis · Electromagnetic Simulation and Numerical Methods · Numerical methods in inverse problems
