Journal
CHAOS SOLITONS & FRACTALS
Volume 163, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2022.112521
Keywords
Multiplex network; Synchronization; Chimera state; Solitary state; Multiplexing noise
Categories
Funding
- Russian Science Foundation (RSF) [20-12-00119]
- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [163436311-SFB 910]
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We numerically studied the spatio-temporal behavior of a two-layer multiplex network with modulated interlayer coupling noise. Our research found that low-frequency multiplexing noise can generate solitary states in the network and reveal the special temporal dynamics of these solitary nodes. Furthermore, it was discovered that complete and near-complete synchronization between layers can be achieved under certain noise characteristics.
We study numerically the spatio-temporal behavior of a two-layer multiplex network of bistable cubic maps when the interlayer coupling is modulated by noise. We refer to this interlayer coupling noise as a multiplexing noise. Various spatio-temporal structures can be established in the uncoupled layers depending on initial conditions. They may represent chimeras of different forms, spatially irregular patterns or spatially homogeneous states. The interlayer coupling strength between the mirror nodes of the layers is given by independent sources of Gaussian colored noise with identical characteristics. We explore the evolution of the spatio-temporal dynamics of the interacting layers when the multiplexing noise parameters are varied. The network dynamics is considered in the case of identical and nonidentical layers which differ in the intralayer coupling strength. It is shown that the low-frequency multiplexing noise produces the solitary states in the networks. The nodes which are in these solitary states have a special temporal dynamics which is revealed for the first time. It is demonstrated that complete and close to complete synchronization of the layers can be achieved at certain characteristics of the noise sources. We analyze how synchronization depends on the initial regimes of two layers. Diagrams are constructed that reflect the degree of layer synchronization in the plane of parameters that control the spectrum and intensity of noise sources.
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