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随机异质性在网络同步中优于设计。

Random heterogeneity outperforms design in network synchronization.

机构信息

Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208.

Center for Applied Mathematics, Cornell University, Ithaca, NY 14853.

出版信息

Proc Natl Acad Sci U S A. 2021 May 25;118(21). doi: 10.1073/pnas.2024299118.

Abstract

A widely held assumption on network dynamics is that similar components are more likely to exhibit similar behavior than dissimilar ones and that generic differences among them are necessarily detrimental to synchronization. Here, we show that this assumption does not generally hold in oscillator networks when communication delays are present. We demonstrate, in particular, that random parameter heterogeneity among oscillators can consistently rescue the system from losing synchrony. This finding is supported by electrochemical-oscillator experiments performed on a multielectrode array network. Remarkably, at intermediate levels of heterogeneity, random mismatches are more effective in promoting synchronization than parameter assignments specifically designed to facilitate identical synchronization. Our results suggest that, rather than being eliminated or ignored, intrinsic disorder in technological and biological systems can be harnessed to help maintain coherence required for function.

摘要

网络动力学的一个普遍假设是,相似的组件比不相似的组件更有可能表现出相似的行为,而它们之间的一般差异必然不利于同步。在这里,我们表明,当存在通信延迟时,这个假设在振荡器网络中并不普遍成立。我们特别证明,振荡器之间的随机参数异质性可以一致地使系统免于失去同步。电化学振荡器实验在多电极阵列网络上进行,为这一发现提供了支持。值得注意的是,在中等程度的异质性下,随机失配对促进同步的效果比专门设计为促进相同同步的参数分配更有效。我们的结果表明,在技术和生物系统中,固有无序不仅不会被消除或忽略,反而可以被利用来帮助维持功能所需的连贯性。

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