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Discontinuous Galerkin methods for nonlinear scalar hyperbolic conservation laws: divided difference estimates and accuracy enhancement
In this paper, an analysis of the accuracy-enhancement for the discontinuous Galerkin (DG) method applied to one-dimensional scalar nonlinear hyperbolic conservation laws is carried out. This requires analyzing the divided difference of the errors for the DG solution. We therefore first prove that t...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445630/ https://www.ncbi.nlm.nih.gov/pubmed/28615748 http://dx.doi.org/10.1007/s00211-016-0833-y |
Sumario: | In this paper, an analysis of the accuracy-enhancement for the discontinuous Galerkin (DG) method applied to one-dimensional scalar nonlinear hyperbolic conservation laws is carried out. This requires analyzing the divided difference of the errors for the DG solution. We therefore first prove that the [Formula: see text] -th order [Formula: see text] divided difference of the DG error in the [Formula: see text] norm is of order [Formula: see text] when upwind fluxes are used, under the condition that [Formula: see text] possesses a uniform positive lower bound. By the duality argument, we then derive superconvergence results of order [Formula: see text] in the negative-order norm, demonstrating that it is possible to extend the Smoothness-Increasing Accuracy-Conserving filter to nonlinear conservation laws to obtain at least [Formula: see text] th order superconvergence for post-processed solutions. As a by-product, for variable coefficient hyperbolic equations, we provide an explicit proof for optimal convergence results of order [Formula: see text] in the [Formula: see text] norm for the divided differences of DG errors and thus [Formula: see text] th order superconvergence in negative-order norm holds. Numerical experiments are given that confirm the theoretical results. |
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