Allen-Cahn方程ETDRK4P-SAV格式的严格误差分析

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Xiaoyan Li , Xinlong Feng , Lingzhi Qian
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引用次数: 0

摘要

本文提出了一种新的求解Allen-Cahn (AC)方程的数值方法。将分维技术与四阶指数型时差龙格-库塔(ETDRK)-标量辅助变量(SAV)外推方法相结合,构造了一种具有能量衰减特性的四阶精确ETDRK4P-SAV格式。在空间离散化方面,采用四阶中心差分结合维数分裂技术;对于时间离散化,采用基于pad近似的四阶ETDRK-SAV外推方法。从理论角度严格证明了全离散格式保留了极大值原理、能量衰减性质和唯一可解性,同时建立了最优误差估计理论。数值实验结果表明,该格式不仅具有良好的收敛性,而且保持了离散能量耗散特性,验证了该格式在求解交流方程中的有效性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rigorous error analysis of ETDRK4P-SAV scheme for the Allen-Cahn equation
This paper proposes a novel numerical method for the Allen-Cahn (AC) equation. By combining the dimension-splitting technique with the fourth-order exponential time-differencing Runge-Kutta(ETDRK)-scalar auxiliary variable (SAV) extrapolation method, we construct a fourth-order accurate ETDRK4P-SAV scheme with energy decay property. In terms of spatial discretization, a fourth-order central difference combined with dimension-splitting technique is employed; for temporal discretization, a fourth-order ETDRK-SAV extrapolation method based on the Padé approximation is utilized. From a theoretical perspective, we rigorously prove that the fully discrete scheme preserves the maximum principle, energy decay property and unique solvability, while also establishing the optimal error estimation theory. Numerical experimental results show that this scheme not only has good convergence but also maintains the discrete energy dissipation property, verifying its effectiveness and reliability in solving the AC equation.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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