广义Allen-Cahn方程的最大界保原理二阶变步长BDF格式

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Xiaohan Zhu , Yuezheng Gong , Yushun Wang
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引用次数: 0

摘要

最大界原理(MBP)是一类板型半线性抛物方程的一个重要特征,因此在数值模拟中,特别是在涉及退化迁移率和对数势函数的问题中,必须保留这一特征。本文研究了具有一般势和可变迁移率的Allen-Cahn (AC)模型的非一致二阶后向微分公式(BDF2)。在适当的时间步长限制和时间步长比条件下,证明了非均匀BDF2格式满足离散MBP。新改进的核重组技术和保持mbp的迭代技术对这一分析有重要贡献。这项工作代表了非一致BDF2格式的第一个结果,该格式保留了具有对数势函数的ac型方程的MBP。利用离散MBP,在不需要任何Lipschitz条件的情况下,得到了非线性体力的最大范数收敛分析。此外,对采用自适应时间步进算法的广义交流模型进行了各种数值实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A maximum bound principle-preserving, second-order BDF scheme with variable steps for the generalized Allen–Cahn equation
The maximum bound principle (MBP) is a crucial characteristic for a board class of semilinear parabolic equations, making it essential to preserve this feature in numerical simulations, particularly for problems involving degenerate mobility and logarithmic potential function. In this paper, we focus on the nonuniform second-order backward differentiation formula (BDF2) for the Allen–Cahn (AC) model with general potential and variable mobility. With moderate restrictions on the time step and a condition on the time-step ratio, the nonuniform BDF2 scheme has been shown to satisfy the discrete MBP. The newly improved kernels recombination technique and MBP-preserving iteration technique significantly contribute to this analysis. This work represents the first result of a nonuniform BDF2 scheme that preserves the MBP for AC-type equations with a logarithmic potential function. With the discrete MBP, the maximum norm convergence analysis is obtained without requiring any Lipschitz conditions on the nonlinear bulk force. Additionally, various numerical experiments are conducted for the generalized AC model, incorporating an adaptive time-stepping algorithm.
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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