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Chimeras in a network of three oscillator populations with varying network topology

2010/03/31 by Erik A. Martens, Erik Andreas Martens · 80 citations
Computer Science · Physics and Astronomy · #Bounded function #Chimera (genetics) #Network model #Network topology #Neural Networks and Reservoir Computing #Nonlinear Dynamics and Pattern Formation #Nonlinear Photonic Systems #Set (abstract data type) #Topology (electrical circuits) #nlin.AO #nlin.PS

paper · pdf · doi:10.1063/1.3499502

published in Chaos An Interdisciplinary Journal of Nonlinear Science 20(4), 043122 (American Institute of Physics) · 9 pages, 4 figures

arxiv created 2010/05/24 · openalex publication_date 2010/11/24 · arxiv updated 2012/02/14 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

We study a network of three populations of coupled phase oscillators with identical frequencies. The populations interact nonlocally, in the sense that all oscillators are coupled to one another, but more weakly to those in neighboring populations than to those in their own population. Using this system as a model system, we discuss for the first time the influence of network topology on the existence of so-called chimera states. In this context, the network with three populations represents an interesting case because the populations may either be connected as a triangle, or as a chain, thereby representing the simplest discrete network of either a ring or a line segment of oscillator populations. We introduce a special parameter that allows us to study the effect of breaking the triangular network structure, and to vary the network symmetry continuously such that it becomes more and more chain-like. By showing that chimera states only exist for a bounded set of parameter values, we demonstrate that their existence depends strongly on the underlying network structures, and conclude that chimeras exist on networks with a chain-like character.

Citations