Symmetry-breaking mechanism for the formation of cluster chimera patterns.


Journal

Chaos (Woodbury, N.Y.)
ISSN: 1089-7682
Titre abrégé: Chaos
Pays: United States
ID NLM: 100971574

Informations de publication

Date de publication:
Jan 2022
Historique:
entrez: 2 2 2022
pubmed: 3 2 2022
medline: 4 2 2022
Statut: ppublish

Résumé

The emergence of order in collective dynamics is a fascinating phenomenon that characterizes many natural systems consisting of coupled entities. Synchronization is such an example where individuals, usually represented by either linear or nonlinear oscillators, can spontaneously act coherently with each other when the interactions' configuration fulfills certain conditions. However, synchronization is not always perfect, and the coexistence of coherent and incoherent oscillators, broadly known in the literature as chimera states, is also possible. Although several attempts have been made to explain how chimera states are created, their emergence, stability, and robustness remain a long-debated question. We propose an approach that aims to establish a robust mechanism through which cluster synchronization and chimera patterns originate. We first introduce a stability-breaking method where clusters of synchronized oscillators can emerge. At variance with the standard approach where synchronization arises as a collective behavior of coupled oscillators, in our model, the system initially sets on a homogeneous fixed-point regime, and, only due to a global instability principle, collective oscillations emerge. Following a combination of the network modularity and the model's parameters, one or more clusters of oscillators become incoherent within yielding a particular class of patterns that we here name cluster chimera states.

Identifiants

pubmed: 35105109
doi: 10.1063/5.0060466
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

013107

Auteurs

Malbor Asllani (M)

School of Mathematics and Statistics, University College Dublin, Belfield, Dublin 4, Ireland.

Bram A Siebert (BA)

MACSI, Department of Mathematics and Statistics, University of Limerick, Limerick V94 T9PX, Ireland.

Alex Arenas (A)

Departament d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, 43007 Tarragona, Catalonia, Spain.

James P Gleeson (JP)

MACSI, Department of Mathematics and Statistics, University of Limerick, Limerick V94 T9PX, Ireland.

Classifications MeSH