English

Stable Chimeras and Independently Synchronizable Clusters

Pattern Formation and Solitons 2017-08-30 v2 Disordered Systems and Neural Networks Adaptation and Self-Organizing Systems Chaotic Dynamics

Abstract

Cluster synchronization is a phenomenon in which a network self-organizes into a pattern of synchronized sets. It has been shown that diverse patterns of stable cluster synchronization can be captured by symmetries of the network. Here we establish a theoretical basis to divide an arbitrary pattern of symmetry clusters into independently synchronizable cluster sets, in which the synchronization stability of the individual clusters in each set is decoupled from that in all the other sets. Using this framework, we suggest a new approach to find permanently stable chimera states by capturing two or more symmetry clusters---at least one stable and one unstable---that compose the entire fully symmetric network.

Keywords

Cite

@article{arxiv.1707.06657,
  title  = {Stable Chimeras and Independently Synchronizable Clusters},
  author = {Young Sul Cho and Takashi Nishikawa and Adilson E. Motter},
  journal= {arXiv preprint arXiv:1707.06657},
  year   = {2017}
}

Comments

Proof corrections implemented; 5 pages, 3 figures [+ Supplemental Material (15 pages, 7 figures)]; Software for grouping synchronization clusters downloadable from https://github.com/tnishi0/grouping-clusters

R2 v1 2026-06-22T20:53:18.919Z