A Posteriori Error Analysis of Runge-Kutta Discontinuous Galerkin Schemes with SIAC Post-Processing for Nonlinear Convection-Diffusion Systems

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Hauptverfasser: Giesselmann, Jan, Kwon, Kiwoong, Krumscheid, Sebastian
Format: Preprint
Veröffentlicht: 2026
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author Giesselmann, Jan
Kwon, Kiwoong
Krumscheid, Sebastian
author_facet Giesselmann, Jan
Kwon, Kiwoong
Krumscheid, Sebastian
contents We develop reliable a posteriori error estimators for fully discrete Runge-Kutta discontinuous Galerkin approximations of nonlinear convection-diffusion systems endowed with a convex entropy in multiple spatial dimensions on the flat torus T^d, with a focus on the convection-dominated regime. In order to use the relative entropy method, we reconstruct the numerical solution via tensor-product Smoothness-Increasing Accuracy-Conserving (SIAC) filtering which has superconvergence properties. We then derive reliable a posteriori error estimators for the difference between the entropy weak solution and the reconstruction, with constants that are uniform in the vanishing viscosity limit. Our numerical experiments show that the a posteriori error bounds converge with the same order as the error of the reconstructed numerical solution.
format Preprint
id arxiv_https___arxiv_org_abs_2604_01200
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A Posteriori Error Analysis of Runge-Kutta Discontinuous Galerkin Schemes with SIAC Post-Processing for Nonlinear Convection-Diffusion Systems
Giesselmann, Jan
Kwon, Kiwoong
Krumscheid, Sebastian
Numerical Analysis
Analysis of PDEs
65M15, 65M60, 65M12, 35K65, 35L65
We develop reliable a posteriori error estimators for fully discrete Runge-Kutta discontinuous Galerkin approximations of nonlinear convection-diffusion systems endowed with a convex entropy in multiple spatial dimensions on the flat torus T^d, with a focus on the convection-dominated regime. In order to use the relative entropy method, we reconstruct the numerical solution via tensor-product Smoothness-Increasing Accuracy-Conserving (SIAC) filtering which has superconvergence properties. We then derive reliable a posteriori error estimators for the difference between the entropy weak solution and the reconstruction, with constants that are uniform in the vanishing viscosity limit. Our numerical experiments show that the a posteriori error bounds converge with the same order as the error of the reconstructed numerical solution.
title A Posteriori Error Analysis of Runge-Kutta Discontinuous Galerkin Schemes with SIAC Post-Processing for Nonlinear Convection-Diffusion Systems
topic Numerical Analysis
Analysis of PDEs
65M15, 65M60, 65M12, 35K65, 35L65
url https://arxiv.org/abs/2604.01200