Attracting Poisson Chimeras in Two-population Networks
Seungjae Lee, Katharina Krischer

TL;DR
This paper analyzes the stability and spectral properties of Poisson and Non-Poisson chimera states in two-population oscillator networks, introducing heterogeneities to make Poisson chimeras attracting and studying their dynamics.
Contribution
It classifies chimera states based on order parameter dynamics, introduces heterogeneities to stabilize Poisson chimeras, and analyzes their stability and spectral properties.
Findings
Poisson chimeras are neutrally stable in ideal networks.
Heterogeneities can render Poisson chimeras attracting.
Spectral analysis reveals stability differences between chimera types.
Abstract
Chimera states, i.e., dynamical states composed of coexisting synchronous and asynchronous oscillations, have been reported to exist in diverse topologies of oscillators in simulations and experiments. Two-population networks with distinct intra - and inter-population coupling have served as simple model systems for chimera states since they possess an invariant synchronized manifold, in contrast to networks on a spatial structure. Here, we study dynamical and spectral properties of finite-sized chimeras on two-population networks. First, we elucidate how the Kuramoto order parameter of the finite sized globally coupled two-population network of phase oscillators is connected to that of the continuum limit. These findings suggest that it is suitable to classify the chimera states according to their order parameter dynamics, and therefore we define Poisson and Non-Poisson chimera states.…
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