A Symmetry-Based Classification of Synchrony in Tree Networks
Nicolas Brito, Miriam Manoel

TL;DR
This paper proves that exotic synchrony patterns do not occur in tree-structured networks and explores how the network's combinatorial structure influences the stability of synchronized states, especially in cherry configurations.
Contribution
It establishes that all synchrony patterns in tree networks are symmetry-induced and analyzes their stability, highlighting the role of leaves and local symmetries.
Findings
Exotic synchronies do not occur in tree networks.
Stability of synchrony is influenced by leaf configurations.
Local symmetries affect the stability of synchronized states.
Abstract
Coupled cell systems model interacting dynamical units and provide a natural framework for studying synchrony phenomena arising from collective behavior. Graph symmetries often induce such patterns, but certain networks exhibit additional synchronies not associated with automorphisms, commonly referred to as exotic synchronies. In undirected asymmetric graphs, any synchrony, if present, must be non-symmetry-induced, and determining when such exotic patterns occur remains a challenging structural problem. In this work, we address this question for networks whose underlying coupling graph is a tree, a class of graphs that naturally models hierarchical interactions among elements. We prove that exotic synchronizations do not arise in tree-type networks, showing that every balanced coloring is a fixed-point coloration determined by graph automorphisms. Furthermore, we identify the…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Neural Networks Stability and Synchronization · Neural dynamics and brain function
