Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Basin of attraction for chimera states in a network of Rossler oscillators

Full text
Author(s):
dos Santos, Vagner [1] ; Borges, Fernando S. [2] ; Iarosz, Kelly C. [3, 4, 5] ; Caldas, Ibere L. [3] ; Szezech, J. D. [1, 6] ; Viana, Ricardo L. [7] ; Baptista, Murilo S. [8] ; Batista, Antonio M. [3, 1, 6]
Total Authors: 8
Affiliation:
[1] Univ Estadual Ponta Grossa, Program Postgrad Sci, BR-84030900 Ponta Grossa, Parana - Brazil
[2] Fed Univ ABC, Ctr Math Computat & Cognit, BR-09606045 Sao Bernardo Do Campo, SP - Brazil
[3] Univ Sao Paulo, Inst Phys, BR-05508900 Sao Paulo - Brazil
[4] FATEB, Fac Telemaco Borba, BR-84266010 Telemaco Borba, Parana - Brazil
[5] Fed Technol Univ Parana, Grad Program Chem Engn, BR-84016210 Ponta Grossa, Parana - Brazil
[6] Univ Estadual Ponta Grossa, Dept Math & Stat, BR-84030900 Ponta Crossa, Parana - Brazil
[7] Univ Fed Parana, Dept Phys, BR-80060000 Curitiba, Parana - Brazil
[8] Univ Aberdeen, Inst Complex Syst & Math Biol, Aberdeen AB24 3UE - Scotland
Total Affiliations: 8
Document type: Journal article
Source: Chaos; v. 30, n. 8 AUG 2020.
Web of Science Citations: 0
Abstract

Chimera states are spatiotemporal patterns in which coherent and incoherent dynamics coexist simultaneously. These patterns were observed in both locally and nonlocally coupled oscillators. We study the existence of chimera states in networks of coupled Rossler oscillators. The Rossler oscillator can exhibit periodic or chaotic behavior depending on the control parameters. In this work, we show that the existence of coherent, incoherent, and chimera states depends not only on the coupling strength, but also on the initial state of the network. The initial states can belong to complex basins of attraction that are not homogeneously distributed. Due to this fact, we characterize the basins by means of the uncertainty exponent and basin stability. In our simulations, we find basin boundaries with smooth, fractal, and riddled structures. (AU)

FAPESP's process: 18/03211-6 - Non linear dynamics
Grantee:Iberê Luiz Caldas
Support type: Research Projects - Thematic Grants
FAPESP's process: 15/07311-7 - Dynamic behaviour of neural networks
Grantee:Kelly Cristiane Iarosz
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 17/18977-1 - Analysis of Electrical Synapses Contribution in Neuronal Synchronization
Grantee:Fernando da Silva Borges
Support type: Scholarships in Brazil - Post-Doctorate