Model order reduction of layered waveguides via rational Krylov fitting

TL;DR

This paper introduces a new model order reduction method using rational Krylov fitting to efficiently compress layered waveguides, achieving high accuracy and handling complex scattering resonances.

Contribution

It develops a novel approach combining rational approximation and model order reduction for layered waveguides, surpassing previous analytic methods in accuracy and robustness.

Findings

RKFIT computes more accurate grids than previous methods

The approach handles pronounced scattering resonances effectively

Finite difference grids can be near or below the Nyquist limit

Abstract

Rational approximation recently emerged as an efficient numerical tool for the solution of exterior wave propagation problems. Currently, this technique is limited to wave media which are invariant along the main propagation direction. We propose a new model order reduction-based approach for compressing unbounded waveguides with layered inclusions. It is based on the solution of a nonlinear rational least squares problem using the RKFIT method. We show that approximants can be converted into an accurate finite difference representation within a rational Krylov framework. Numerical experiments indicate that RKFIT computes more accurate grids than previous analytic approaches and even works in the presence of pronounced scattering resonances. Spectral adaptation effects allow for finite difference grids with dimensions near or even below the Nyquist limit.