论文标题
库拉摩托模型的部分相锁解决方案
Partially phase-locked solutions to the Kuramoto model
论文作者
论文摘要
Kuramoto模型是用于理解相锁现象的规范模型。人们理解的是,在通常的均值尺度上,不太可能进行全相锁定,并且它在应用中很重要的部分锁定状态。尽管如此,尽管在有限的N Kuramoto模型中非常关注了全相锁状态的存在和稳定性,但部分相锁的状态受到了较少的关注。在本文中,我们提出了两个相关的结果。首先,我们得出了一个分析标准,该标准为了足够强大的耦合,它通过证明在振荡器子集的固定点附近存在吸引球的存在来确保存在部分相锁定状态。我们还衍生出一个较大的不变球,以使其中的任何一点都会渐近地融合到吸引球上。其次,我们考虑具有随机分布频率的Kuramoto系统的大N(热力学)极限。使用DE SMET和AEYEL的某些结果,当单个振荡器的天然频率是独立的分布式随机变量时,我们得出了确定性的条件,几乎可以确定具有足够强的耦合状态,以确保存在足够强的耦合,并且在最大的部分占主型振荡器的群集群的大小上,上限和下限。有趣的是,在有关数值实验的系列中,我们发现上限非常好的预测最大夹带群集的大小非常好。
The Kuramoto model is a canonical model for understanding phase-locking phenomenon. It is well-understood that, in the usual mean-field scaling, full phase-locking is unlikely and that it is partially phase-locked states that are important in applications. Despite this, while there has been much attention given to the existence and stability of fully phase-locked states in the finite N Kuramoto model, the partially phase-locked states have received much less attention. In this paper, we present two related results. Firstly, we derive an analytical criterion that, for sufficiently strong coupling, guarantees the existence of a partially phase-locked state by proving the existence of an attracting ball around a fixed point of a subset of the oscillators. We also derive a larger invariant ball such that any point in it will asymptotically converge to the attracting ball. Secondly, we consider the large N (thermodynamic) limit for the Kuramoto system with randomly distributed frequencies. Using some results of De Smet and Aeyels on partial entrainment, we derive a deterministic condition giving almost sure existence of a partially entrained state for sufficiently strong coupling when the natural frequencies of the individual oscillators are independent identically distributed random variables, as well as upper and lower bounds on the size of the largest cluster of partially entrained oscillators. Interestingly in a series on numerical experiments we find that the observed size of the largest entrained cluster is predicted extremely well by the upper bound.