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arXiv 2104.07236nlin.AO
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稀疏耦合振子网络集体动力学的介观模型降阶

Mesoscopic model reduction for the collective dynamics of sparse coupled oscillator networks

Lauren D Smith, Georg A Gottwald

摘要:

在有限耦合振子网络中,从全局同步到部分同步的分岔行为是一个复杂的现象,涉及到一个或多个振子与其余同步振子的复杂动力学。这是不能很好地捕捉到的标准宏观模型简化技术,捕捉热力学极限下的同步振荡器的集体行为。我们引入了两个介观模型简化有限稀疏网络的耦合振子,定量捕获的动力学接近分岔从全球到部分同步。我们的模型简化建立在集体坐标的方法上。我们首先表明,标准的集体坐标约简有困难捕捉这种分歧。我们确定了一个特定的拓扑结构在分叉组成的一个主要的同步集群,振荡器,deserminizes在分叉,和一个中间节点连接它们。利用这种结构和系综平均值,我们推导出一个解析表达式的真正的分歧,从全球部分同步和它的估计计算通过集体坐标的方法之间的不匹配。这允许校准标准的集体坐标方法,而不需要事先知道哪个节点将被去离散化。我们引入了第二介观还原,利用相同的特定的拓扑结构,它允许一个定量的动力学描述的阶段附近的分歧。介观简化显著降低了集体坐标方法的计算复杂度,从$\mathcal{O}(N^2)$减少到$\mathcal{O}(1)$。我们进行数值模拟的Erdens-Rényi网络和修改后的Barabási-Albert网络表现出良好的定量协议和接近分叉。

英文摘要:

The behavior at bifurcation from global synchronization to partial synchronization in finite networks of coupled oscillators is a complex phenomenon, involving the intricate dynamics of one or more oscillators with the remaining synchronized oscillators. This is not captured well by standard macroscopic model reduction techniques which capture only the collective behavior of synchronized oscillators in the thermodynamic limit. We introduce two mesoscopic model reductions for finite sparse networks of coupled oscillators to quantitatively capture the dynamics close to bifurcation from global to partial synchronization. Our model reduction builds upon the method of collective coordinates. We first show that standard collective coordinate reduction has difficulties capturing this bifurcation. We identify a particular topological structure at bifurcation consisting of a main synchronized cluster, the oscillator that desynchronizes at bifurcation, and an intermediary node connecting them. Utilizing this structure and ensemble averages we derive an analytic expression for the mismatch between the true bifurcation from global to partial synchronization and its estimate calculated via the collective coordinate approach. This allows to calibrate the standard collective coordinate approach without prior knowledge of which node will desynchronize. We introduce a second mesoscopic reduction, utilizing the same particular topological structure, which allows for a quantitative dynamical description of the phases near bifurcation. The mesoscopic reductions significantly reduce the computational complexity of the collective coordinate approach, reducing from $\mathcal{O}(N^2)$ to $\mathcal{O}(1)$. We perform numerical simulations for Erdős-Rényi networks and for modified Barabási-Albert networks demonstrating excellent quantitative agreement at and close to bifurcation.

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