论文标题
通过惯性振荡器的网络引起的路径依赖性动力学
Path-dependent Dynamics Induced by Rewiring Networks of Inertial Oscillators
论文作者
论文摘要
在耦合振荡器的网络中,了解相互作用拓扑如何影响同步是很有趣的。许多研究通过研究静态网络上的经典库拉莫托振荡器模型来获得对这个问题的关键见解。但是,当网络结构是随时间变化的或振荡器系统是多稳定的时,就会出现新的问题,当将惯性术语添加到库拉莫托模型中时,后者可能会发生。尽管已经分别研究了拓扑拓扑和多种性对集体行为的后果,但实际的系统(例如基因调节网络)和大脑可以同时表现出这些特性。网络连通性的重新布线如何影响具有多稳定性的系统中的同步,其中不同的网络进化路径可能会差异地影响系统动力学?为了解决这个问题,我们研究了随着时间不断发展的网络拓扑对惯性耦合振荡器的影响。我们表明,当偶联的惯性振荡器的网络密度随着动力学的发展而逐渐变化时,会发生滞后同步行为。此外,我们发现某些固定密度重新布线方案会引起全局同步级别的重大变化,并且在网络返回其初始配置之后,这些变化仍然存在,并且对广泛的网络扰动非常强大。我们的发现表明,除了其初始或最终的静态结构外,网络拓扑的特定进展还可以在调节复杂网络上发展的系统的集体行为中发挥相当大的作用。
In networks of coupled oscillators, it is of interest to understand how interaction topology affects synchronization. Many studies have gained key insights into this question by studying the classic Kuramoto oscillator model on static networks. However, new questions arise when network structure is time-varying or when the oscillator system is multistable, the latter of which can occur when an inertial term is added to the Kuramoto model. While the consequences of evolving topology and multistability on collective behavior have been examined separately, real-world systems such as gene regulatory networks and the brain can exhibit these properties simultaneously. How does the rewiring of network connectivity affect synchronization in systems with multistability, where different paths of network evolution may differentially impact system dynamics? To address this question, we study the effects of time-evolving network topology on coupled Kuramoto oscillators with inertia. We show that hysteretic synchronization behavior occurs when the network density of coupled inertial oscillators is slowly varied as the dynamics evolve. Moreover, we find that certain fixed-density rewiring schemes induce significant changes to the level of global synchrony, and that these changes remain after the network returns to its initial configuration and are robust to a wide range of network perturbations. Our findings suggest that the specific progression of network topology, in addition to its initial or final static structure, can play a considerable role in modulating the collective behavior of systems evolving on complex networks.