Type-III intermittency in emergent bursting dynamics of globally coupled rotators

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-05-01 Epub Date: 2025-02-22 DOI:10.1016/j.chaos.2025.116150
Marzena Ciszak , Francesco Marino
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Abstract

Globally coupled populations of phase rotators with linear adaptive coupling can exhibit collective bursting oscillations between asynchronous and partially synchronized states, which can be either periodic or chaotic. Here, we analyze the transition between these two regimes, where the dynamics consists of periods of nearly regular bursting interspersed with irregular spiking intervals, and demonstrate its correspondence to intermittent transition to chaos. Specifically, we consider a bimodal Kuramoto model with linear global feedback, which allows for a mean-field formulation of the dynamics and thus to investigate the phenomenology in the thermodynamic limit. We reconstruct the one-dimensional first-return maps of inter-burst intervals and estimate the Floquet multiplier associated with the unstable bursting solution. The results indicate type-III intermittency, which is also supported by the scaling of the average laminar periods as the control parameter varies, along with their probability density distribution.
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全局耦合转子突发性爆破动力学的iii型间歇性
具有线性自适应耦合的全局耦合相位旋转器种群可以在异步状态和部分同步状态之间表现出集体爆发振荡,这种振荡可以是周期性的,也可以是混沌的。这里,我们分析了这两种状态之间的过渡,其中动力学由几乎规则的爆发周期和不规则的尖峰间隔组成,并证明了它与间歇性过渡到混沌的对应关系。具体来说,我们考虑了具有线性全局反馈的双峰Kuramoto模型,该模型允许动力学的平均场公式,从而研究了热力学极限下的现象学。我们重建了突发区间的一维首回映射,并估计了与不稳定突发解相关的Floquet乘子。结果表明,随着控制参数的变化,平均层流周期随其概率密度分布的缩放也支持了iii型间断性。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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