Stability analysis and error estimates of local discontinuous Galerkin methods with implicit-explicit time-marching for nonlinear convection-diffusion problems

Haijin Wang Nanjing University Chi-Wang Shu Brown University Qiang Zhang Nanjing University

Numerical Analysis and Scientific Computing mathscidoc:1610.25022

Applied Mathematics and Computation, 272, 237-258, 2016
The main purpose of this paper is to analyze the stability and error estimates of the local discontinuous Galerkin (LDG) methods coupled with implicit-explicit (IMEX) time discretization schemes, for solving one-dimensional convection-diffusion equations with a nonlinear convection. Both Runge-Kutta and multi-step IMEX methods are considered. By the aid of the energy method, we show that the IMEX LDG schemes are unconditionally stable for the nonlinear problems, in the sense that the time-step $\dt$ is only required to be upper-bounded by a positive constant which depends on the flow velocity and the diffusion coefficient, but is independent of the mesh size $h$. We also give optimal error estimates for the IMEX LDG schemes, under the same temporal condition, if a monotone numerical flux is adopted for the convection. Numerical experiments are given to verify our main results.
local discontinuous Galerkin method, implicit-explicit scheme, convection-diffusion equation, stability analysis, error estimate, energy method
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@inproceedings{haijin2016stability,
  title={Stability analysis and error estimates of local discontinuous Galerkin methods with implicit-explicit time-marching for nonlinear convection-diffusion problems},
  author={Haijin Wang, Chi-Wang Shu, and Qiang Zhang},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20161011113652117772136},
  booktitle={Applied Mathematics and Computation},
  volume={272},
  pages={237-258},
  year={2016},
}
Haijin Wang, Chi-Wang Shu, and Qiang Zhang. Stability analysis and error estimates of local discontinuous Galerkin methods with implicit-explicit time-marching for nonlinear convection-diffusion problems. 2016. Vol. 272. In Applied Mathematics and Computation. pp.237-258. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20161011113652117772136.
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