时间分数阶四阶正弦-戈登方程的两网格混合有限元Crank-Nicolson新方法

IF 1.2 3区 数学 Q1 MATHEMATICS
Yihui Sun , Liang He , Yuejie Li , Chao Shen , Zhendong Luo
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引用次数: 0

摘要

首先建立了一个具有实际物理意义的非线性时间分数阶四阶正弦-戈登方程。然后,通过引入辅助函数,将NTFFOSG方程分解为具有空间变量二阶导数的非线性方程组。随后,利用Crank-Nicolson (CN)格式将时间导数和时间分数阶导数离散化,构造了一种新的时间半离散化混合CN (TSDMCN)格式。最后,利用两网格混合有限元(MFE)方法对TSDMCN格式中的空间变量进行离散化,建立了一种具有无条件稳定性的两网格MFECN (TGMFECN)方法,该方法由粗网格上的非线性MFE方程系统和精细网格上的线性MFE方程系统组成,具有足够的精度,求解起来非常容易。本文最大的贡献在于从理论上分析了TSDMCN和TGMFECN解的存在性、稳定性和误差估计,并通过数值实验验证了理论结果的正确性和TGMFECN方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new two-grid mixed finite element Crank-Nicolson method for the temporal fractional fourth-order sine-Gordon equation
A new nonlinear temporal fractional fourth-order sine-Gordon (NTFFOSG) equation with practical physical significance is first developed. Then, by introducing an auxiliary function, the NTFFOSG equation is decomposed into the nonlinear system of equations with the second-order derivatives in spatial variables. Subsequently, by using the Crank-Nicolson (CN) scheme to discretize time derivative and time fractional derivative, a new time semi-discretization mixed CN (TSDMCN) scheme is constructed. Finally, by using two-grid mixed finite element (MFE) method to discretize the spatial variables in the TSDMCN scheme, a new two-grid MFE CN (TGMFECN) method with unconditional stability is established, which consists of a system of nonlinear MFE equations on coarser grids and a system of linear MFE equations on fine grids with sufficient precision, so it is very easy to solve. The largest contribution of this article is to theoretically analyze the existence, stability, and error estimates of the TSDMCN and TGMFECN solutions, and to verify the correctness of theoretical results and the superiority of the TGMFECN method through numerical experiments.
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来源期刊
CiteScore
2.50
自引率
7.70%
发文量
790
审稿时长
6 months
期刊介绍: The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions. Papers are sought which employ one or more of the following areas of classical analysis: • Analytic number theory • Functional analysis and operator theory • Real and harmonic analysis • Complex analysis • Numerical analysis • Applied mathematics • Partial differential equations • Dynamical systems • Control and Optimization • Probability • Mathematical biology • Combinatorics • Mathematical physics.
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