Chimera States in Wheel Networks
Ashwathi Poolamanna, Medha Bhindwar, Chandrakala Meena

TL;DR
This paper investigates how higher-order interactions affect the emergence and stability of chimera states in networks of coupled chaotic oscillators, revealing their significant influence across different coupling schemes and oscillator types.
Contribution
It introduces a systematic classification method for dynamical behaviors in wheel networks with higher-order interactions and demonstrates their impact on chimera states across multiple models.
Findings
Higher-order interactions can enhance or suppress chimera states.
The influence of higher-order interactions depends on the coupling scheme and oscillator dynamics.
Chimera states are more prevalent and robust under certain higher-order interaction conditions.
Abstract
How higher-order interactions influence dynamical behavior in networks of coupled chaotic oscillators remains an open question. To address this, we investigate emergent dynamical behaviors in a wheel network of R\"ossler and Lorenz oscillators that incorporates both pairwise (1-simplex) and higher-order (2-simplex) interactions under three coupling schemes, namely, diffusive, conjugate, and mean-field diffusive coupling. Our numerical analysis reveals four distinct collective behaviors: synchronization, desynchronization, chimera states, and synchronized clusters. To systematically classify these dynamical behaviors, we introduce two statistical measures that effectively capture synchronization patterns among arbitrarily positioned nodes. Applying these measures across all dynamical models and coupling schemes (six different models in total), we show that both pairwise and higher-order…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Neural Networks Stability and Synchronization · Chaos control and synchronization
