Logo image
Convergence analysis for second-order accurate schemes for the periodic nonlocal Allen-Cahn and Cahn-Hilliard equations
Journal article   Open access   Peer reviewed

Convergence analysis for second-order accurate schemes for the periodic nonlocal Allen-Cahn and Cahn-Hilliard equations

Zhen Guan, John Lowengrub and Cheng Wang
Mathematical methods in the applied sciences, Vol.40(18), pp.6836-6863
12/01/2017

Abstract

Mathematics Mathematics, Applied Physical Sciences Science & Technology
In this paper, we provide a detailed convergence analysis for fully discrete second-order (in both time and space) numerical schemes for nonlocal Allen-Cahn and nonlocal Cahn-Hilliard equations. The unconditional unique solvability and energy stability ensures l(4) stability. The convergence analysis for the nonlocal Allen-Cahn equation follows the standard procedure of consistency and stability estimate for the numerical error function. For the nonlocal Cahn-Hilliard equation, because of the complicated form of the nonlinear term, a careful expansion of its discrete gradient is undertaken, and an H-1 inner-product estimate of this nonlinear numerical error is derived to establish convergence. In addition, an a priori W-1,W-infinity bound of the numerical solution at the discrete level is needed in the error estimate. Such a bound can be obtained by performing a higher order consistency analysis by using asymptotic expansions for the numerical solution. Following the technique originally proposed by Strang (eg, 1964), instead of the standard comparison between the exact and numerical solutions, an error estimate between the numerical solution and the constructed approximate solution yields an O(s(3) + h(4)) convergence in l(infinity)(0, T; l(2)) norm, in which s and h denote the time step and spatial mesh sizes, respectively. This in turn leads to the necessary bound under a standard constraint s <= Ch. Here, we also prove convergence of the scheme in the maximum norm under the same constraint.

Metrics

1 Record Views

Details

Logo image