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Auteurs principaux: Bertè, Margherita, Gili, Tommaso
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2510.11207
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author Bertè, Margherita
Gili, Tommaso
author_facet Bertè, Margherita
Gili, Tommaso
contents Based on recent advances in fibration symmetry theory, we investigate how structural symmetries influence synchronization in systems with higher-order interactions (HOI). Using bipartite graph representations, we identify a node partition in fibres, based on equivalent incidence relations in hypergraphs. We study how identical nodes with an isomorphic input set can synchronize due to structural properties under our specific model assumptions, examining the dynamical model of Kuramoto with higher-order interactions and frustration parameters. Recent works established for directed hypergraphs that balanced partitions characterize robust synchrony, invariant under all admissible dynamics, whereas our contribution isolates the case of Kuramoto dynamics and shows that synchrony under homogeneous initial conditions and natural frequencies necessarily coincides with the fibration partition. As a conclusion, let us examine situations that require adjustments to the hypergraph topology to handle redundancy or to align with a target cluster configuration, especially in the presence of noise or incomplete information. These considerations open up new questions for future investigations. Our methodology combines theoretical modeling and simulations with applications to real-world data topologies, highlighting how representational choices and local input equivalence influence synchronization behavior.
format Preprint
id arxiv_https___arxiv_org_abs_2510_11207
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Fibration Symmetries and Cluster Synchronization in Multi-Body Systems
Bertè, Margherita
Gili, Tommaso
Dynamical Systems
Mathematical Physics
Based on recent advances in fibration symmetry theory, we investigate how structural symmetries influence synchronization in systems with higher-order interactions (HOI). Using bipartite graph representations, we identify a node partition in fibres, based on equivalent incidence relations in hypergraphs. We study how identical nodes with an isomorphic input set can synchronize due to structural properties under our specific model assumptions, examining the dynamical model of Kuramoto with higher-order interactions and frustration parameters. Recent works established for directed hypergraphs that balanced partitions characterize robust synchrony, invariant under all admissible dynamics, whereas our contribution isolates the case of Kuramoto dynamics and shows that synchrony under homogeneous initial conditions and natural frequencies necessarily coincides with the fibration partition. As a conclusion, let us examine situations that require adjustments to the hypergraph topology to handle redundancy or to align with a target cluster configuration, especially in the presence of noise or incomplete information. These considerations open up new questions for future investigations. Our methodology combines theoretical modeling and simulations with applications to real-world data topologies, highlighting how representational choices and local input equivalence influence synchronization behavior.
title Fibration Symmetries and Cluster Synchronization in Multi-Body Systems
topic Dynamical Systems
Mathematical Physics
url https://arxiv.org/abs/2510.11207