A new analytical technique of the fully implicit Crank-Nicolson discontinuous Galerkin method for the Ginzburg-Landau Model

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Hauptverfasser: Cao, Xianxian, Guan, Zhen, Wang, Junjun
Format: Preprint
Veröffentlicht: 2025
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author Cao, Xianxian
Guan, Zhen
Wang, Junjun
author_facet Cao, Xianxian
Guan, Zhen
Wang, Junjun
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2511_21168
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A new analytical technique of the fully implicit Crank-Nicolson discontinuous Galerkin method for the Ginzburg-Landau Model
Cao, Xianxian
Guan, Zhen
Wang, Junjun
Numerical Analysis
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.
title A new analytical technique of the fully implicit Crank-Nicolson discontinuous Galerkin method for the Ginzburg-Landau Model
topic Numerical Analysis
url https://arxiv.org/abs/2511.21168