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arXiv 1706.03096math.DSnlin.PS
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非Lipschitz极限图序列上Kuramoto模型的平均场方程

The mean field equation for the Kuramoto model on graph sequences with non-Lipschitz limit

Dmitry Kaliuzhnyi-Verbovetskyi, Georgi S. Medvedev

摘要:

图上耦合相位振子的仓本模型(KM)为研究集体动力学和同步提供了最有影响力的框架。它展示了丰富的动态机制。自Strogatz和Mirollo的工作以来,在KM中振子数量趋于无穷大的极限中导出的平均场方程一直是理解许多有趣效应的关键,包括同步和嵌合态的开始。在这项工作中,我们研究的数学基础的平均场方程作为一个近似的离散KM。具体来说,我们扩展了Neunzert的方法严格的理由的平均场方程,以涵盖相互作用的动力系统的图形。然后,我们将其应用到KM收敛图序列与非Lipschitz极限。该图族包括许多在应用中感兴趣的图,例如,最近邻图和小世界图

英文摘要:

The Kuramoto model (KM) of coupled phase oscillators on graphs provides the most influential framework for studying collective dynamics and synchronization. It exhibits a rich repertoire of dynamical regimes. Since the work of Strogatz and Mirollo, the mean field equation derived in the limit as the number of oscillators in the KM goes to infinity, has been the key to understanding a number of interesting effects, including the onset of synchronization and chimera states. In this work, we study the mathematical basis of the mean field equation as an approximation of the discrete KM. Specifically, we extend the Neunzert's method of rigorous justification of the mean field equation to cover interacting dynamical systems on graphs. We then apply it to the KM on convergent graph sequences with non-Lipschitz limit. This family of graphs includes many graphs that are of interest in applications, e.g., nearest-neighbor and small-world graphs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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