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Volume 21, Issue 1
Optimal Superconvergence of Energy Conserving Local Discontinuous Galerkin Methods for Wave Equations

Waixiang Cao, Dongfang Li & Zhimin Zhang

Commun. Comput. Phys., 21 (2017), pp. 211-236.

Published online: 2018-04

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  • Abstract

This paper is concerned with numerical solutions of the LDG method for 1D wave equations. Superconvergence and energy conserving properties have been studied. We first study the superconvergence phenomenon for linear problems when alternating fluxes are used. We prove that, under some proper initial discretization, the numerical trace of the LDG approximation at nodes, as well as the cell average, converge with an order 2k+1. In addition, we establish k+2-th order and k+1-th order superconvergence rates for the function value error and the derivative error at Radau points, respectively. As a byproduct, we prove that the LDG solution is superconvergent with an order k+2 towards the Radau projection of the exact solution. Numerical experiments demonstrate that in most cases, our error estimates are optimal, i.e., the error bounds are sharp. In the second part, we propose a fully discrete numerical scheme that conserves the discrete energy. Due to the energy conserving property, after long time integration, our method still stays accurate when applied to nonlinear Klein-Gordon and Sine-Gordon equations.

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@Article{CiCP-21-211, author = {Waixiang Cao, Dongfang Li and Zhimin Zhang}, title = {Optimal Superconvergence of Energy Conserving Local Discontinuous Galerkin Methods for Wave Equations}, journal = {Communications in Computational Physics}, year = {2018}, volume = {21}, number = {1}, pages = {211--236}, abstract = {

This paper is concerned with numerical solutions of the LDG method for 1D wave equations. Superconvergence and energy conserving properties have been studied. We first study the superconvergence phenomenon for linear problems when alternating fluxes are used. We prove that, under some proper initial discretization, the numerical trace of the LDG approximation at nodes, as well as the cell average, converge with an order 2k+1. In addition, we establish k+2-th order and k+1-th order superconvergence rates for the function value error and the derivative error at Radau points, respectively. As a byproduct, we prove that the LDG solution is superconvergent with an order k+2 towards the Radau projection of the exact solution. Numerical experiments demonstrate that in most cases, our error estimates are optimal, i.e., the error bounds are sharp. In the second part, we propose a fully discrete numerical scheme that conserves the discrete energy. Due to the energy conserving property, after long time integration, our method still stays accurate when applied to nonlinear Klein-Gordon and Sine-Gordon equations.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.120715.100516a}, url = {http://global-sci.org/intro/article_detail/cicp/11238.html} }
TY - JOUR T1 - Optimal Superconvergence of Energy Conserving Local Discontinuous Galerkin Methods for Wave Equations AU - Waixiang Cao, Dongfang Li & Zhimin Zhang JO - Communications in Computational Physics VL - 1 SP - 211 EP - 236 PY - 2018 DA - 2018/04 SN - 21 DO - http://doi.org/10.4208/cicp.120715.100516a UR - https://global-sci.org/intro/article_detail/cicp/11238.html KW - AB -

This paper is concerned with numerical solutions of the LDG method for 1D wave equations. Superconvergence and energy conserving properties have been studied. We first study the superconvergence phenomenon for linear problems when alternating fluxes are used. We prove that, under some proper initial discretization, the numerical trace of the LDG approximation at nodes, as well as the cell average, converge with an order 2k+1. In addition, we establish k+2-th order and k+1-th order superconvergence rates for the function value error and the derivative error at Radau points, respectively. As a byproduct, we prove that the LDG solution is superconvergent with an order k+2 towards the Radau projection of the exact solution. Numerical experiments demonstrate that in most cases, our error estimates are optimal, i.e., the error bounds are sharp. In the second part, we propose a fully discrete numerical scheme that conserves the discrete energy. Due to the energy conserving property, after long time integration, our method still stays accurate when applied to nonlinear Klein-Gordon and Sine-Gordon equations.

Waixiang Cao, Dongfang Li and Zhimin Zhang. (2018). Optimal Superconvergence of Energy Conserving Local Discontinuous Galerkin Methods for Wave Equations. Communications in Computational Physics. 21 (1). 211-236. doi:10.4208/cicp.120715.100516a
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