$hp$-FEM for reaction-diffusion equations II. Robust exponential convergence for multiple length scales in corner domains
Lehel Banjai, Jens M. Melenk, Christoph Schwab
TL;DR
The paper develops $hp$-FEM on geometric boundary layer meshes to solve linear, singularly perturbed reaction-diffusion problems in curvilinear polygons with multiple length scales, achieving robust exponential convergence in the energy norm $\|\cdot\|_{\varepsilon,\Omega}$ under a scale-resolution condition. It builds a patch-based framework using a macro-triangulation and a catalog of reference refinement patterns, proving exponential error bounds for corner, boundary layer, and corner-layer components, and then aggregates them into a global estimate with explicit dimension growth. Numerical experiments on polygons confirm the theoretical rates and illustrate two convergence regimes, with Netgen enabling automatic mesh generation in practice. The results extend the applicability of $hp$-FEM to multi-scale, nonsmooth geometries, providing a principled approach for accurate, efficient simulations of reaction-diffusion systems across multiple length scales.
Abstract
In bounded, polygonal domains $Ω\subset \mathbb{R}^2$ with Lipschitz boundary $\partialΩ$ consisting of a finite number of Jordan curves admitting analytic parametrizations, we analyze $hp$-FEM discretizations of linear, second order, singularly perturbed reaction diffusion equations on so-called geometric boundary layer meshes. We prove, under suitable analyticity assumptions on the data, that these $hp$-FEM afford exponential convergence in the natural "energy" norm of the problem, as long as the geometric boundary layer mesh can resolve the smallest length scale present in the problem. Numerical experiments confirm the robust exponential convergence of the proposed $hp$-FEM.
