So Paul, Cotton Bernard C, Barreto Ernest
Department of Physics & Astronomy, The Center for Neural Dynamics, and The Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia 22030, USA.
Chaos. 2008 Sep;18(3):037114. doi: 10.1063/1.2979693.
In many networks of interest (including technological, biological, and social networks), the connectivity between the interacting elements is not static, but changes in time. Furthermore, the elements themselves are often not identical, but rather display a variety of behaviors, and may come in different classes. Here, we investigate the dynamics of such systems. Specifically, we study a network of two large interacting heterogeneous populations of limit-cycle oscillators whose connectivity switches between two fixed arrangements at a particular frequency. We show that for sufficiently high switching frequency, this system behaves as if the connectivity were static and equal to the time average of the switching connectivity. We also examine the mechanisms by which this fast-switching limit is approached in several nonintuitive cases. The results illuminate novel mechanisms by which synchronization can arise or be thwarted in large populations of coupled oscillators with nonstatic coupling.
在许多相关网络中(包括技术网络、生物网络和社会网络),相互作用元素之间的连接性并非静态,而是随时间变化的。此外,这些元素本身往往并不相同,而是表现出多种行为,并且可能属于不同类别。在此,我们研究此类系统的动力学。具体而言,我们研究了由两个相互作用的大型异质极限环振荡器群体组成的网络,其连接性在特定频率下在两种固定配置之间切换。我们表明,对于足够高的切换频率,该系统的行为就好像连接性是静态的,且等于切换连接性的时间平均值。我们还研究了在几种非直观情况下达到这种快速切换极限的机制。这些结果揭示了在具有非静态耦合的大量耦合振荡器中同步能够产生或受到阻碍的新机制。