关于Kuramoto振子的无穷集的涌现动力学

IF 1.3 3区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL Journal of Statistical Physics Pub Date : 2023-11-04 DOI:10.1007/s10955-023-03184-6
Seung-Yeal Ha, Euntaek Lee, Woojoo Shim
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引用次数: 0

摘要

我们提出了一个可数无限组Kuramoto振子的无限Kuramoto模型,并研究了它在两类网络拓扑中的涌现动力学。对于一类对称且行(或列)可和的网络拓扑,我们证明了同构系综表现出完全同步,并且无限Kuramoto模型可以投射为梯度流,而我们获得了弱同步估计,即异构系综的实际同步。与有限Kuramoto模型不同,对于某些类型的网络拓扑,相直径可以是常数,这是无限模型的一个新特征。我们还考虑了第二类网络拓扑(所谓的发送方网络),其中耦合强度与仅取决于发送方索引号的常数成比例。对于这种网络拓扑结构,我们可以更好地控制突发动态。对于齐次系综,在任何正耦合强度下,只有两种可能的渐近状态,即完全相位同步或双簇配置。相反,对于异质系综,对于一类限制在四分之一弧中的初始配置,完全同步发生得呈指数级快。
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On the Emergent Dynamics of the Infinite Set of Kuramoto Oscillators

We propose an infinite Kuramoto model for a countably infinite set of Kuramoto oscillators and study its emergent dynamics for two classes of network topologies. For a class of symmetric and row (or column)-summable network topology, we show that a homogeneous ensemble exhibits complete synchronization, and the infinite Kuramoto model can cast as a gradient flow, whereas we obtain a weak synchronization estimate, namely practical synchronization for a heterogeneous ensemble. Unlike with the finite Kuramoto model, phase diameter can be constant for some class of network topologies which is a novel feature of the infinite model. We also consider a second class of network topology (so-called a sender network) in which coupling strengths are proportional to a constant that depends only on sender’s index number. For this network topology, we have a better control on emergent dynamics. For a homogeneous ensemble, there are only two possible asymptotic states, complete phase synchrony or bi-cluster configuration in any positive coupling strengths. In contrast, for a heterogeneous ensemble, complete synchronization occurs exponentially fast for a class of initial configuration confined in a quarter arc.

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来源期刊
Journal of Statistical Physics
Journal of Statistical Physics 物理-物理:数学物理
CiteScore
3.10
自引率
12.50%
发文量
152
审稿时长
3-6 weeks
期刊介绍: The Journal of Statistical Physics publishes original and invited review papers in all areas of statistical physics as well as in related fields concerned with collective phenomena in physical systems.
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