An implicit midpoint difference scheme for the fractional Ginzburg-Landau equation

TL;DR

This paper introduces an implicit midpoint difference scheme for the fractional Ginzburg-Landau equation, demonstrating its stability, convergence, and efficiency through rigorous analysis and numerical validation.

Contribution

It develops a novel implicit midpoint scheme with a weighted shifted Grünwald operator for fractional Laplacian, providing unconditional stability and optimal convergence.

Findings

Scheme is unconditionally stable and convergent.

Achieves optimal order $O( au^2+h^2)$ in $l^2_h$ norm.

Numerical tests confirm theoretical accuracy and efficiency.

Abstract

This paper proposes and analyzes an efficient difference scheme for the nonlinear complex Ginzburg-Landau equation involving fractional Laplacian. The scheme is based on the implicit midpoint rule for the temporal discretization and a weighted and shifted Gr\"unwald difference operator for the spatial fractional Laplacian. By virtue of a careful analysis of the difference operator, some useful inequalities with respect to suitable fractional Sobolev norms are established. Then the numerical solution is shown to be bounded, and convergent in the $l^2_h$ norm with the optimal order $O(\tau^2+h^2)$ with time step $\tau$ and mesh size $h$. The a priori bound as well as the convergence order hold unconditionally, in the sense that no restriction on the time step $\tau$ in terms of the mesh size $h$ needs to be assumed. Numerical tests are performed to validate the theoretical results and effectiveness of the scheme.