The transition to synchronization of networked systems
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arXiv
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| Hauptverfasser: | , , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| author | Bayani, Atiyeh Nazarimehr, Fahimeh Jafari, Sajad Kovalenko, Kirill Contreras-Aso, Gonzalo Alfaro-Bittner, Karin Sánchez-García, Ruben J. Boccaletti, Stefano |
| author_facet | Bayani, Atiyeh Nazarimehr, Fahimeh Jafari, Sajad Kovalenko, Kirill Contreras-Aso, Gonzalo Alfaro-Bittner, Karin Sánchez-García, Ruben J. Boccaletti, Stefano |
| contents | We study the synchronization properties of a generic networked dynamical system, and show that, under a suitable approximation, the transition to synchronization can be predicted with the only help of eigenvalues and eigenvectors of the graph Laplacian matrix. The transition comes out to be made of a well defined sequence of events, each of which corresponds to a specific clustered state. The network's nodes involved in each of the clusters can be identified, and the value of the coupling strength at which the events are taking place can be approximately ascertained. Finally, we present large-scale simulations which show the accuracy of the approximation made, and of our predictions in describing the synchronization transition of both synthetic and real-world large size networks, and we even report that the observed sequence of clusters is preserved in heterogeneous networks made of slightly non-identical systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2303_08668 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | The transition to synchronization of networked systems Bayani, Atiyeh Nazarimehr, Fahimeh Jafari, Sajad Kovalenko, Kirill Contreras-Aso, Gonzalo Alfaro-Bittner, Karin Sánchez-García, Ruben J. Boccaletti, Stefano Physics and Society Chaotic Dynamics We study the synchronization properties of a generic networked dynamical system, and show that, under a suitable approximation, the transition to synchronization can be predicted with the only help of eigenvalues and eigenvectors of the graph Laplacian matrix. The transition comes out to be made of a well defined sequence of events, each of which corresponds to a specific clustered state. The network's nodes involved in each of the clusters can be identified, and the value of the coupling strength at which the events are taking place can be approximately ascertained. Finally, we present large-scale simulations which show the accuracy of the approximation made, and of our predictions in describing the synchronization transition of both synthetic and real-world large size networks, and we even report that the observed sequence of clusters is preserved in heterogeneous networks made of slightly non-identical systems. |
| title | The transition to synchronization of networked systems |
| topic | Physics and Society Chaotic Dynamics |
| url | https://arxiv.org/abs/2303.08668 |