High-order RKDG Methods for Computational Electromagnetics

Authors: Chen, Min-Hung¹; Cockburn, Bernardo²; Reitich, Fernando³

Source: Journal of Scientific Computing, Volume 22, Number 1, January 2005 , pp. 205-226(22)

Publisher: Springer

Abstract:

In this paper we introduce a new RKDG method for problems of wave propagation that achieves full high-order convergence in time and space. The novelty of the method resides in the way in which it marches in time. It uses an mth-order m-stage, low storage SSP-RK scheme which is an extension to a class of non-autonomous linear systems of a recently designed method for autonomous linear systems. This extension allows for a high-order accurate treatment of the inhomogeneous, time-dependent terms that enter the semi-discrete problem on account of the physical boundary conditions. Thus, if polynomials of degree k are used in the space discretization, the RKDG method is of overall order m = k + 1, for any k > 0. Moreover, we also show that the attainment of high-order space–time accuracy allows for an efficient implementation of post-processing techniques that can double the convergence order. We explore this issue in a one-dimensional setting and show that the superconvergence of fluxes previously observed in full space–time DG formulations is also attained in our new RKDG scheme. This allows for the construction of higher-order solutions via local interpolating polynomials. Indeed, if polynomials of degree k are used in the space discretization together with a time-marching method of order 2k + 1, a post-processed approximation of order 2k + 1 is obtained. Numerical results in one and two space dimensions are presented that confirm the predicted convergence properties.

Keywords: Discontinuous Galerkin methods; Wave propagation; Maxwell equations

Document Type: Research article

DOI: http://dx.doi.org/10.1007/s10915-004-4152-6

Affiliations: 1: School of Mathematics, University of minnesota, 206 Church Street S.E., Minneapolis, MN, 55455, USA, Email: mhchen@math.umn.edu 2: School of Mathematics, University of minnesota, 206 Church Street S.E., Minneapolis, MN, 55455, USA, Email: cockburn@math.umn.edu 3: School of Mathematics, University of minnesota, 206 Church Street S.E., Minneapolis, MN, 55455, USA, Email: reitich@math.umn.edu

Publication date: 2005-01-01

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