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  Criticality in transient behavior of coupled oscillator system toward chimera and synchronization

Yao, N., Zhang, Q.-Y., Ren, D.-Y., Li, Y.-J., Su, C.-W., Gao, Z.-K., Kurths, J. (2023): Criticality in transient behavior of coupled oscillator system toward chimera and synchronization. - Chaos, 33, 7, 073131.
https://doi.org/10.1063/5.0152858

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 Creators:
Yao, Nan1, Author
Zhang, Qian-Yun 1, Author
Ren, De-Yi 1, Author
Li, You-Jun 1, Author
Su, Chun-Wang 1, Author
Gao, Zhong-Ke 1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Chimera states in spatiotemporal dynamical systems have been investigated in physical, chemical, and biological systems, while how the system is steering toward different final destinies upon spatially localized perturbation is still unknown. Through a systematic numerical analysis of the evolution of the spatiotemporal patterns of multi-chimera states, we uncover a critical behavior of the system in transient time toward either chimera or synchronization as the final stable state. We measure the critical values and the transient time of chimeras with different numbers of clusters. Then, based on an adequate verification, we fit and analyze the distribution of the transient time, which obeys power-law variation process with the increase in perturbation strengths. Moreover, the comparison between different clusters exhibits an interesting phenomenon, thus we find that the critical value of odd and even clusters will alternatively converge into a certain value from two sides, respectively, implying that this critical behavior can be modeled and enabling the articulation of a phenomenological model.

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Language(s): eng - English
 Dates: 2023-07-172023-07-17
 Publication Status: Finally published
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0152858
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Tipping Elements
 Degree: -

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Title: Chaos
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 33 (7) Sequence Number: 073131 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/180808