Divided difference estimates and accuracy enhancement of discontinuous Galerkin methods for nonlinear symmetric systems of hyperbolic conservation laws

被引:9
|
作者
Meng, Xiong [1 ,2 ]
Ryan, Jennifer K. [1 ]
机构
[1] Univ East Anglia, Sch Math, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England
[2] Harbin Inst Technol, Dept Math, Harbin 150001, Heilongjiang, Peoples R China
关键词
discontinuous Galerkin method; nonlinear symmetric systems of hyperbolic conservation laws; negative-order norm estimates; post-processing; divided difference; ONE SPACE DIMENSION; CONVECTION-DIFFUSION EQUATIONS; FINITE-ELEMENT-METHOD; CONSERVING FILTERS; TRIANGULAR MESHES; SMOOTH SOLUTIONS; ERROR ESTIMATION; SUPERCONVERGENCE;
D O I
10.1093/imanum/drw072
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we investigate the accuracy enhancement for the discontinuous Galerkin (DG) method for solving one-dimensional nonlinear symmetric systems of hyperbolic conservation laws. For nonlinear equations, the divided difference estimate is an important tool that allows for superconvergence of the post-processed solutions in the local L-2 norm. Therefore, we first prove that the L-2 norm of the alpha th-order (1 <= alpha <= k + 1) divided difference of the DG error with upwind fluxes is of order k + 3/2 - alpha/2, provided that the flux Jacobian matrix, f'(u), is symmetric positive definite. Furthermore, using the duality argument, we are able to derive superconvergence estimates of order 2k + 3/2 - alpha/2 for the negative-order norm, indicating that some particular compact kernels can be used to extract at least (3/2k + 1)th-order superconvergence for nonlinear systems of conservation laws. Numerical experiments are shown to demonstrate the theoretical results.
引用
收藏
页码:125 / 155
页数:31
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