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Hierarchical clustering in mean-field coupled Stuart-Landau oscillators
Nicolas Thomé1, Matthias Wolfrum2, Katharina Krischer1
1School of Natural Sciences, Nonequilibrium Chemical Physics, Technische Universität München, James-Franck-Str. 1, D-85748 Garching, Germany.
Clustered solutions in oscillator networks link synchronization and complex dynamics. This study reveals how 3-cluster states emerge from 2-cluster states, uncovering a "Type-II cluster singularity" and hierarchical structures.
Area of Science:
- Nonlinear dynamics
- Complex systems science
- Theoretical physics
Background:
- Clustered solutions in oscillator networks are crucial for understanding transitions from synchrony to complex spatiotemporal patterns.
- Existing knowledge on cluster formation and differentiation in coupled oscillator systems remains limited.
- These clusters serve as a vital link between fully synchronized and incoherent states in dynamical systems.
Purpose of the Study:
- To investigate the emergence of 3-cluster solutions from 2-cluster solutions in globally coupled Stuart-Landau oscillators.
- To analyze the organization and parameter space landscape of different 3-cluster solutions.
- To identify the underlying mechanism governing the transition between different cluster states.
Main Methods:
- Analysis of globally coupled Stuart-Landau oscillators.
- Focus on bifurcations from 2-cluster to 3-cluster solutions.
- Characterization of cluster arrangements and parameter space organization.
Main Results:
- Identified a codimension-two point, termed the "Type-II cluster singularity," which dictates the arrangement of clusters.
- Demonstrated the emergence of 3-cluster solutions from 2-cluster solutions.
- Revealed a hierarchical structure within multi-cluster solutions.
Conclusions:
- The Type-II cluster singularity is a key organizing principle for multi-cluster states in oscillator networks.
- Understanding cluster transitions provides insights into the emergence of complex dynamics from simpler states.
- The hierarchical structure of multi-cluster solutions offers a framework for further investigation into complex network dynamics.
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