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  Synchronization transition via rhythmic states in the four-dimensional Kuramoto model with isoclinic rotations

Zou, W., Zhang, X., Kurths, J. (2025): Synchronization transition via rhythmic states in the four-dimensional Kuramoto model with isoclinic rotations. - Chaos, 35, 12, 123134.
https://doi.org/10.1063/5.0303399

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Zou, Wei1, Author
Zhang, Xiaoting1, Author
Kurths, Jürgen2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: In this work, we are devoted to examining the phase transition to synchronization in the four-dimensional Kuramoto model with isoclinic rotations, where the rotation rate 4 x 4 antisymmetric matrix of each uncoupled agent is generated by a real three-dimensional vector. We uncover that the transition from incoherence to partial synchronization is mediated by time-dependent rhythmic states as the strength of coupling increases. The incoherent state is observed for a coupling strength below a certain threshold. Subsequently, a time-dependent rhythmic state appears as further increasing the strength of coupling, which persists for a pronounced interval of coupling strength. For a sufficiently large coupling strength, the system finally transits to partially locked states, where the generalized order parameter goes to a nontrivial fixed point. Via employing a higher-dimensional Ott–Antonsen ansatz in the thermodynamic limit of infinite system size, we theoretically establish that the uniformly incoherent state loses its stability via Hopf bifurcation at the critical coupling strength, which signals the emergence of a rhythmic state. We also obtain a self-consistency equation of the order parameter of the model undergoing partially locked states, from which the degree of coherence of the system at a sufficiently large coupling strength is theoretically predicted by two parametrized expressions. Our theoretical results agree very well with the results from our numerical simulations of the model with a sufficiently large but finite number of agents.

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Language(s): eng - English
 Dates: 2025-12-182025-12-18
 Publication Status: Finally published
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0303399
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
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Title: Chaos
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 35 (12) Sequence Number: 123134 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/180808
Publisher: American Institute of Physics (AIP)