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arXiv 2602.07571math.NAcs.NA
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Landau-Lifshitz-Gilbert方程全离散原始能量耗散与长度保持格式的稳定性与误差分析

Stability and error analysis of fully discrete original energy-dissipative and length-preserving scheme for the Landau-Lifshitz-Gilbert equation

School of Mathematics, Shandong University(山东大学数学学院);School of Mathematics and State Key Laboratory of Cryptography and Digital Economy Security, Shandong University(山东大学数学学院与密码学与数字经济安全全国重点实验室);Mathematics Department, University of Massachusetts, North Dartmouth(马萨诸塞大学北达特茅斯分校数学系);Department of Mathematics, SUSTech International Center for Mathematics & National Center for Applied Mathematics Shenzhen (NCAMS), Southern University of Science and Technology(南方科技大学数学系、南方科技大学国际数学中心与应用数学深圳国家研究中心)

Binghong Li, Xiaoli Li, Cheng Wang, Jiang Yang

AI总结:

针对Landau-Lifshitz-Gilbert方程,提出一种基于投影法的线性全离散有限差分格式,同时保持非凸流形约束和原始能量耗散,并通过弱形式重写实现最优收敛率理论分析。

摘要:

Landau-Lifshitz-Gilbert (LLG) 方程被视为具有流形约束的梯度流,是描述铁磁材料中磁化动力学的基本模型。众所周知,归一化切平面方法能够同时实现非凸流形约束和原始能量耗散。然而,这种数值方法的计算成本极高。相比之下,投影法更易于实现,但往往损害连续模型固有的能量耗散性质,且误差分析更具挑战性。本文首先基于LLG方程的投影法,构造了一个线性全离散有限差分数值格式,该格式能够同时保持非凸流形约束 \\(|\mathbf{m}| = 1\\) 和无条件原始能量耗散。在误差分析中,由于非线性拉普拉斯项的存在,经典理论技术失效,这带来了重大挑战。为克服这一难题,我们仔细地将数值方法重写为等价的弱形式,其中数值解的点态长度保持特性起着关键作用。通过这种重写弱形式中的估计,可以理论上建立最优收敛率。据我们所知,该数值方法是第一个保持以下组合理论性质的线性算法:(i) 点态长度保持,(ii) 无条件原始能量耗散,(iii) 收敛分析和最优率误差估计的理论证明。

英文摘要:

The Landau-Lifshitz-Gilbert (LLG) equation, regarded as a gradient flow with manifold constraint, is the fundamental model describing magnetization dynamics in ferromagnetic materials. It is well known that the normalized tangent plane method is able to simultaneously achieve the non-convex manifold constraint and original energy dissipation. However, the associated computational cost of this numerical approach is exceedingly high. By contrast, the projection method is more straightforward to implement, while it often compromises the inherent energy dissipative property of the continuous model, and the error analysis turns out to be even more challenging. In this work, we first construct a linear and fully discrete finite difference numerical scheme, based on the projection method for the LLG equation, which is capable of simultaneously preserving the non-convex manifold constraint \(|\mathbf{m}| = 1\) and an unconditional original energy dissipation. In the error analysis, the classical theoretical technique becomes ineffective, due to the presence of the nonlinear Laplacian term, which in turn poses a significant challenge. To overcome this subtle difficulty, we carefully rewrite the numerical method in an equivalent weak form, in which a point-wise length preserving feature of the numerical solution plays an essential role. As a result of these estimates in the reformulated weak form, an optimal convergence rate could be theoretically established. In our knowledge, this numerical method is the first linear algorithm that preserves the following combined theoretical properties: (i) point-wise length preservation, (ii) unconditional original energy dissipation, (iii) a theoretical justification of convergence analysis and optimal rate error estimate.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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