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Condensed Matter > Statistical Mechanics

arXiv:2510.07301 (cond-mat)
[Submitted on 8 Oct 2025 ]

Title: Dynamics of feedback Ising model

Title: 反馈伊辛模型的动力学

Authors:Yi-Ping Ma, Ivan Sudakow, P. L. Krapivsky, Sergey A. Vakulenko
Abstract: We study the dynamics of a mean-field Ising model whose coupling depends on the magnetization via a linear feedback function. A key feature of this linear feedback Ising model (FIM) is the possibility of temperature-induced bistability, where a temperature increase can favor bistability between two phases. We show that the linear FIM provides a minimal model for a transcritical bifurcation as the temperature varies. Moreover, there can be two or three critical temperatures when the external magnetic field is non-negative. In the bistable region, we identify a Maxwell temperature where the two phases are equally probable, and we find that increasing the temperature favors the lower phase. We show that the probability distribution becomes non-Gaussian on certain time intervals when the magnetization converges algebraically at either zero temperature or critical temperatures. Near critical points in the parameter space, we derive a Fokker-Planck equation, construct the families of equilibrium distributions, and formulate scaling laws for transition rates between two stable equilibria. The linear FIM provides considerable freedom to control steady-state bifurcations and their associated equilibrium distributions, which can be desirable for modeling feedback systems across disciplines.
Abstract: 我们研究了一种平均场伊辛模型的动力学,其耦合通过一个线性反馈函数依赖于磁化强度。 这种线性反馈伊辛模型(FIM)的一个关键特征是温度引起的双稳态,其中温度升高可以促进两个相之间的双稳态。 我们表明,当温度变化时,线性FIM提供了一个转临界分岔的最小模型。 此外,当外部磁场为非负时,可能存在两个或三个临界温度。 在双稳态区域,我们确定了一个麦克斯韦温度,在该温度下两个相的概率相等,并且我们发现增加温度有利于较低的相。 我们表明,当磁化强度在零温度或临界温度处代数收敛时,在某些时间间隔内概率分布变为非高斯分布。 在参数空间中的临界点附近,我们推导出福克-普朗克方程,构建平衡分布族,并制定两个稳定平衡之间的跃迁速率的标度定律。 线性FIM提供了控制稳态分岔及其相关平衡分布的极大自由度,这在跨学科建模反馈系统时可能是有益的。
Comments: 22 pages, 13 figures
Subjects: Statistical Mechanics (cond-mat.stat-mech) ; Dynamical Systems (math.DS)
Cite as: arXiv:2510.07301 [cond-mat.stat-mech]
  (or arXiv:2510.07301v1 [cond-mat.stat-mech] for this version)
  https://doi.org/10.48550/arXiv.2510.07301
arXiv-issued DOI via DataCite

Submission history

From: Yiping Ma [view email]
[v1] Wed, 8 Oct 2025 17:56:11 UTC (938 KB)
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