Transitions from chimeras to coherence: An analytical approach by means of the coherent stability function

Sarbendu Rakshit, Zahra Faghani, Fatemeh Parastesh, Shirin Panahi, Sajad Jafari, Dibakar Ghosh, and Matjaž Perc
Phys. Rev. E 100, 012315 – Published 30 July 2019

Abstract

Chimera states have been a vibrant subject of research in the recent past, but the analytical treatment of transitions from chimeras to coherent states remains a challenge. Here we analytically derive the necessary conditions for this transition by means of the coherent stability function approach, which is akin to the master stability function approach that is traditionally used to study the stability of synchronization in coupled oscillators. In chimera states, there is typically at least one group of oscillators that evolves in a drifting, random manner, while other groups of oscillators follow a smoother, more coherent profile. In the coherent state, there thus exists a smooth functional relationship between the oscillators. This lays the foundation for the coherent stability function approach, where we determine the stability of the coherent state. We subsequently test the analytical prediction numerically by calculating the strength of incoherence during the transition point. We use leech neurons, which exhibit a coexistence of chaotic and periodic tonic spiking depending on initial conditions, coupled via nonlocal electrical synapses, to demonstrate our approach. We systematically explore various dynamical states with the focus on the transitions between chimeras and coherence, fully confirming the validity of the coherent stability function. We also observe complete synchronization for higher values of the coupling strength, which we verify by the master stability function approach.

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  • Received 29 January 2019
  • Revised 20 May 2019

DOI:https://doi.org/10.1103/PhysRevE.100.012315

©2019 American Physical Society

Physics Subject Headings (PhySH)

Interdisciplinary PhysicsNetworks

Authors & Affiliations

Sarbendu Rakshit1, Zahra Faghani2, Fatemeh Parastesh2, Shirin Panahi2, Sajad Jafari2, Dibakar Ghosh1, and Matjaž Perc3,4,*

  • 1Physics and Applied Mathematics Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata 700108, India
  • 2Department of Biomedical Engineering, Amirkabir University of Technology, 424 Hafez Avenue, Tehran 15875-4413, Iran
  • 3Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, SI-2000 Maribor, Slovenia
  • 4Complexity Science Hub Vienna, Josefstädterstraße 39, A-1080 Vienna, Austria

  • *matjaz.perc@um.si

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Vol. 100, Iss. 1 — July 2019

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