Fading of remote synchronization in tree networks of Stuart-Landau oscillators

Baris Karakaya, Ludovico Minati, Lucia Valentina Gambuzza, and Mattia Frasca
Phys. Rev. E 99, 052301 – Published 1 May 2019

Abstract

Remote synchronization (RS) is characterized by the appearance of phase coherence between oscillators that do not directly interact through a structural link in a network but exclusively through other units that are not synchronized or more weakly synchronized with them. This form of phase synchronization was observed initially in starlike motifs and later in random networks. In this paper, we report on an experimental setup for the analysis of RS in networks of Stuart-Landau oscillators and in particular investigate the behavior of tree structures focusing on the path to synchronization, that is, on the analysis of how synchronization emerges as the coupling strength increases from zero. We find that RS occurs in a region wherein further increases of the coupling strength lead to a direct transition to global synchronization but may also be observed in a second region, corresponding to lower coupling values, wherein it first emerges and then disappears, hallmarking a scenario that we denote as fading of remote synchronization. We show that this result is related to the behavior of pairs of remotely synchronized nodes observed in networks with more general topologies. Experiments are corroborated by numerical simulations confirming the major findings and providing further characterization of the phenomenon. We demonstrate that the distribution of natural oscillation frequencies and the parameter uncertainty in the links both play a fundamental role in shaping the behaviors observed.

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  • Received 1 February 2019
  • Revised 11 April 2019

DOI:https://doi.org/10.1103/PhysRevE.99.052301

©2019 American Physical Society

Physics Subject Headings (PhySH)

NetworksNonlinear Dynamics

Authors & Affiliations

Baris Karakaya1, Ludovico Minati2, Lucia Valentina Gambuzza3, and Mattia Frasca3,4,*

  • 1Faculty of Engineering, Department of Electrical, Electronics Engineering, Firat University, 23119 Elazig, Turkey
  • 2World Research Hub Initiative—Institute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8503, Japan; Complex Systems Theory Department, Institute of Nuclear Physics—Polish Academy of Sciences (IFJ-PAN), 31-342 Kraków, Poland; and Center for Mind/Brain Sciences (CIMeC), University of Trento, 38123 Trento, Italy
  • 3Dipartimento Ingegneria Elettrica Elettronica e Informatica, Università degli Studi di Catania, 95029 Catania, Italy
  • 4CNR-IASI, Italian National Research Council-Institute for Systems Analysis and Computer Science “A. Ruberti,” 00185 Rome, Italy

  • *mfrasca@diees.unict.it

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Vol. 99, Iss. 5 — May 2019

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