The local discontinuous Galerkin method on layer-adapted meshes for time-dependent singularly perturbed convection-diffusion problems
Yao Cheng, Yanjie Mei, Hans-Goerg Roos

TL;DR
This paper analyzes the error of a local discontinuous Galerkin method combined with layer-adapted meshes and implicit time-stepping for solving time-dependent singularly perturbed convection-diffusion problems, providing uniform error estimates.
Contribution
It introduces a comprehensive error analysis for LDG methods on layer-adapted meshes for time-dependent problems, including uniform error bounds and improved estimates in 1D.
Findings
Uniform error estimates of order k+1/2 in space
Optimal error estimates in time
Numerical experiments confirm theoretical results
Abstract
In this paper we analyze the error as well for the semi-discretization as the full discretization of a time-dependent convection-diffusion problem. We use for the discretization in space the local discontinuous Galerkin (LDG) method on a class of layer-adapted meshes including Shishkin-type and Bakhvalov-type meshes and the implicit -scheme in time. For piecewise tensor-product polynomials of degree we obtain uniform or almost uniform error estimates with respect to space of order in some energy norm and optimal error estimates with respect to time. Our analysis is based on careful approximation error estimates for the Ritz projection related to the stationary problem on the anisotropic meshes used. We discuss also improved estimates in the one-dimensional case and the use of a discontinuous Galekin discretization in time. Numerical experiments are given to support…
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 Numerical Methods in Computational Mathematics · Advanced Mathematical Modeling in Engineering
