Local discontinuous Galerkin method on layer-adapted meshes for singularly perturbed reaction-diffusion problems in two dimensions
Yanjie Mei, Yao Cheng, Sulei Wang, Zhijie Xu

TL;DR
This paper analyzes the LDG method for 2D singularly perturbed reaction-diffusion problems on layer-adapted meshes, establishing uniform and optimal convergence rates with theoretical error estimates and numerical validation.
Contribution
It introduces a comprehensive analysis of LDG on layer-adapted meshes, deriving error estimates in energy and balanced norms, and demonstrates uniform convergence and optimal rates.
Findings
Uniform convergence of order k in the balanced norm.
Optimal convergence of order k+1 in the energy norm.
Numerical experiments confirm theoretical results.
Abstract
We analyse the local discontinuous Galerkin (LDG) method for two-dimensional singularly perturbed reaction-diffusion problems. A class of layer-adapted meshes, including Shishkin- and Bakhvalov-type meshes, is discussed within a general framework. Local projections and their approximation properties on anisotropic meshes are used to derive error estimates for energy and "balanced" norms. Here, the energy norm is naturally derived from the bilinear form of LDG formulation and the "balanced" norm is artifically introduced to capture the boundary layer contribution. We establish a uniform convergence of order for the LDG method using the balanced norm with the local weighted projection as well as an optimal convergence of order for the energy norm using the local Gauss-Radau projections. Numerical experiments are presented.
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
TopicsDifferential Equations and Numerical Methods · Advanced Mathematical Modeling in Engineering · Advanced Numerical Methods in Computational Mathematics
