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Phase locking and multistability in the topological Kuramoto model on cell complexes
Iva Bačić1,2, Michael T Schaub3, Jürgen Kurths4
1Institute of Climate and Energy Systems: Energy Systems Engineering (ICE-1), Forschungszentrum Jülich, Jülich, Germany. i.bacic@fz-juelich.de.
Collective dynamics in oscillator networks are shaped by higher-order interactions. A universal rule for multistability in topological models requires boundaries with at least five elements, revealing insights into phase locking and complex network dynamics.
Area of Science:
- Complex systems
- Network science
- Mathematical physics
Background:
- Higher-order interactions significantly influence collective dynamics in oscillator networks.
- Existing synchronization models often simplify network topology, potentially missing crucial higher-order effects.
Purpose of the Study:
- To introduce and apply topological nonlinear Kirchhoff conditions to analyze phase-locked states in the topological Kuramoto model.
- To investigate the role of network topology and boundary structure in collective dynamics and multistability.
Main Methods:
- Developed the topological nonlinear Kirchhoff conditions for characterizing phase-locked states.
- Utilized generalized independent cycles and winding numbers to quantify phase dynamics.
- Applied the framework to various network structures including rings, Platonic solids, and regular simplices.
Main Results:
- Identified a universal rule: multistability arises only when boundaries possess a minimum of five elements.
- Demonstrated that independent winding numbers across different dimensions generate cascades of multistability.
- Established a direct link between cell complex topology, boundary features, and phase-locking behavior.
Conclusions:
- The topological Kuramoto model and nonlinear Kirchhoff conditions provide a robust framework for understanding collective dynamics on cell complexes.
- Network topology and boundary structure are critical determinants of phase locking and multistability in complex systems.
- The findings offer a generalized approach applicable to diverse systems exhibiting higher-order interactions.
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