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Published in: Journal of Scientific Computing 1/2021

01-04-2021

Superconvergence of the Local Discontinuous Galerkin Method for One Dimensional Nonlinear Convection-Diffusion Equations

Authors: Xiaobin Liu, Dazhi Zhang, Xiong Meng, Boying Wu

Published in: Journal of Scientific Computing | Issue 1/2021

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Abstract

In this paper, we study superconvergence properties of the local discontinuous Galerkin (LDG) methods for solving nonlinear convection-diffusion equations in one space dimension. The main technicality is an elaborate estimate to terms involving projection errors. By introducing a new projection and constructing some correction functions, we prove the \((2k+1)\)th order superconvergence for the cell averages and the numerical flux in the discrete \(L^2\) norm with polynomials of degree \(k\ge 1\), no matter whether the flow direction \(f'(u)\) changes or not. Superconvergence of order \(k +2\) (\(k +1\)) is obtained for the LDG error (its derivative) at interior right (left) Radau points, and the convergence order for the error derivative at Radau points can be improved to \(k+2\) when the direction of the flow doesn’t change. Finally, a supercloseness result of order \(k+2\) towards a special Gauss–Radau projection of the exact solution is shown. The superconvergence analysis can be extended to the generalized numerical fluxes and the mixed boundary conditions. All theoretical findings are confirmed by numerical experiments.

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Literature
1.
go back to reference Boffi, D., Brezzi, F., Fortin, M.: Mixed finite element methods and applications, Springer Series in Computational Mathematics, vol. 44. Springer, Heidelberg (2013)CrossRef Boffi, D., Brezzi, F., Fortin, M.: Mixed finite element methods and applications, Springer Series in Computational Mathematics, vol. 44. Springer, Heidelberg (2013)CrossRef
Metadata
Title
Superconvergence of the Local Discontinuous Galerkin Method for One Dimensional Nonlinear Convection-Diffusion Equations
Authors
Xiaobin Liu
Dazhi Zhang
Xiong Meng
Boying Wu
Publication date
01-04-2021
Publisher
Springer US
Published in
Journal of Scientific Computing / Issue 1/2021
Print ISSN: 0885-7474
Electronic ISSN: 1573-7691
DOI
https://doi.org/10.1007/s10915-021-01446-7

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