Unconditionally Optimal Error Analysis of the Second-Order BDF Finite Element Method for the Kuramoto-Tsuzuki Equation

Unconditionally Optimal Error Analysis of the Second-Order BDF Finite Element Method for the Kuramoto-Tsuzuki Equation

Year:    2023

Author:    Yuan Li, Xuewei Cui

Journal of Computational Mathematics, Vol. 41 (2023), Iss. 2 : pp. 211–223

Abstract

This paper aims to study a second-order semi-implicit BDF finite element scheme for the Kuramoto-Tsuzuki equations in two dimensional and three dimensional spaces. The proposed scheme is stable and the nonlinear term is linearized by the extrapolation technique. Moreover, we prove that the error estimate in $L^2$-norm is unconditionally optimal which means that there has not any restriction on the time step and the mesh size. Finally, numerical results are displayed to illustrate our theoretical analysis.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/jcm.2107-m2020-0243

Journal of Computational Mathematics, Vol. 41 (2023), Iss. 2 : pp. 211–223

Published online:    2023-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    13

Keywords:    Kuramoto-Tsuzuki equations BDF scheme Finite element method Optimal error analysis.

Author Details

Yuan Li

Xuewei Cui

  1. Unconditionally optimal error estimate of the Crank–Nicolson extrapolation Galerkin finite element method for Kuramoto–Tsuzuki equation

    Yang, Huaijun

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    https://doi.org/10.1007/s40314-023-02397-5 [Citations: 1]