A new analytical technique of the fully implicit Crank-Nicolson discontinuous Galerkin method for the Ginzburg-Landau Model
Xianxian Cao, Zhen Guan, Junjun Wang

TL;DR
This paper introduces a new fully implicit Crank-Nicolson discontinuous Galerkin method for the Ginzburg-Landau equation, providing rigorous solvability and optimal error estimates, validated through numerical examples.
Contribution
It develops a novel analytical approach to establish solvability and error bounds for the method applied to the Ginzburg-Landau model.
Findings
Proves unique solvability of the scheme.
Establishes unconditionally optimal error estimates.
Validates results with numerical examples.
Abstract
In this paper, a fully implicit Crank-Nicolson discontinuous Galerkin method is proposed for solving the Ginzburg-Landau equation. By leveraging a novel analytical technique, we rigorously establish the unique solvability of the constructed numerical scheme, as well as its unconditionally optimal error estimates under both the \(L^2\)-norm and the energy norm. The core of the proof hinges on the \(L^2\)-norm boundedness of the numerical solution and the refined estimation of the cubic nonlinear term. Finally, two numerical examples are presented to validate the theoretical findings.
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Model Reduction and Neural Networks · Electromagnetic Simulation and Numerical Methods
