Superconvergence of discontinuous Galerkin methods for linear hyperbolic equations with singular initial data

Li Guo Sun Yat-Sen University Yang Yang Michigan Technological University

Numerical Analysis and Scientific Computing mathscidoc:1907.25008

International Journal of Numerical Analysis and Modeling, 14, 342-354, 2017
In this paper, we consider the discontinuous Galerkin (DG) methods to solve linear hyperbolic equations with singular initial data. With the help of weight functions, the superconvergence properties outside the pollution region will be investigated. We show that, by using piecewise polynomials of degree $k$ and suitable initial discretizations, the DG solution is $(2k+1)$-th order accurate at the downwind points and $(k+2)$-th order accurate at all the other downwind-biased Radau points. Moreover, the derivative of error between the DG and exact solutions converges at a rate of $k+1$ at all the interior upwind-biased Radau points. Besides the above, the DG solution is also $(k+2)$-th order accurate towards a particular projection of the exact solution and the numerical cell averages are $(2k+1)$-th order accurate. Numerical experiments are presented to confirm the theoretical results.
Discontinuous Galerkin (DG) method, singular initial data, linear hyperbolic equations, superconvergence, weight function, weighted norms
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@inproceedings{li2017superconvergence,
  title={Superconvergence of discontinuous Galerkin methods for linear hyperbolic equations with singular initial data},
  author={Li Guo, and Yang Yang},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20190701095832765475388},
  booktitle={International Journal of Numerical Analysis and Modeling},
  volume={14},
  pages={342-354},
  year={2017},
}
Li Guo, and Yang Yang. Superconvergence of discontinuous Galerkin methods for linear hyperbolic equations with singular initial data. 2017. Vol. 14. In International Journal of Numerical Analysis and Modeling. pp.342-354. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20190701095832765475388.
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