Local discontinuous Galerkin methods with implicit-explicit time-marching for multi-dimensional convection-diffusion problems

¹ Department of Mathematics, Nanjing University, Jiangsu Province, Nanjing 210093, P.R. China.
hjwang@smail.nju.edu.cn; qzh@nju.edu.cn
² College of Shipbuilding Engineering, Harbin Engineering University, Harbin 15000, P. R. China.
wangshiping@hrbeu.edu.cn
³ Division of Applied Mathematics, Brown University, Providence, RI 02912, USA.
shu@dam.brown.edu

Received: 23 March 2015
Revised: 8 July 2015

Abstract

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 multi-dimensional convection-diffusion equations with nonlinear convection. By establishing the important relationship between the gradient and the interface jump of the numerical solution with the independent numerical solution of the gradient in the LDG method, on both rectangular and triangular elements, we can obtain the same stability results as in the one-dimensional case [H.J. Wang, C.-W. Shu and Q. Zhang, SIAM J. Numer. Anal. 53 (2015) 206–227; H.J. Wang, C.-W. Shu and Q. Zhang, Appl. Math. Comput. 272 (2015) 237–258], i.e., the IMEX LDG schemes are unconditionally stable for the multi-dimensional convection-diffusion problems, in the sense that the time-step τ is only required to be upper-bounded by a positive constant independent of the spatial mesh size h. Furthermore, by the aid of the so-called elliptic projection and the adjoint argument, we can also obtain optimal error estimates in both space and time, for the corresponding fully discrete IMEX LDG schemes, under the same condition, i.e., if piecewise polynomial of degree k is adopted on either rectangular or triangular meshes, we can show the convergence accuracy is of order 𝒪(h^k+1+ τ^s) for the sth order IMEX LDG scheme (s = 1,2,3) under consideration. Numerical experiments are also given to verify our main results.