High Order Local Discontinuous Galerkin Methods for the Allen-Cahn Equation: Analysis and Simulation

High Order Local Discontinuous Galerkin Methods for the Allen-Cahn Equation: Analysis and Simulation

Year:    2016

Author:    Ruihan Guo, Liangyue Ji, Yan Xu

Journal of Computational Mathematics, Vol. 34 (2016), Iss. 2 : pp. 135–158

Abstract

In this paper, we present a local discontinuous Galerkin (LDG) method for the Allen-Cahn equation. We prove the energy stability, analyze the optimal convergence rate of $k + 1$ in $L^2$ norm and present the $(2k + 1)$-th order negative-norm estimate of the semi-discrete LDG method for the Allen-Cahn equation with smooth solution. To relax the severe time step restriction of explicit time marching methods, we construct a first order semi-implicit scheme based on the convex splitting principle of the discrete Allen-Cahn energy and prove the corresponding unconditional energy stability. To achieve high order temporal accuracy, we employ the semi-implicit spectral deferred correction (SDC) method. Combining with the unconditionally stable convex splitting scheme, the SDC method can be high order accurate and stable in our numerical tests. To enhance the efficiency of the proposed methods, the multigrid solver is adapted to solve the resulting nonlinear algebraic systems. Numerical studies are presented to confirm that we can achieve optimal accuracy of $\mathcal{O}(h^{k+1})$ in $L^2$ norm and improve the LDG solution from $\mathcal{O}(h^{k+1})$ to $\mathcal{O}(h^{2k+1})$ with the accuracy enhancement post-processing technique.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/jcm.1510-m2014-0002

Journal of Computational Mathematics, Vol. 34 (2016), Iss. 2 : pp. 135–158

Published online:    2016-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    24

Keywords:    Local discontinuous Galerkin method Allen-Cahn equation Energy stability Convex splitting Spectral deferred correction A priori error estimate Negative norm error estimate.

Author Details

Ruihan Guo

Liangyue Ji

Yan Xu

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