Synchronization in networked systems with large parameter heterogeneity

Bibliographic Details
Title: Synchronization in networked systems with large parameter heterogeneity
Authors: Amirhossein Nazerian, Shirin Panahi, Francesco Sorrentino
Source: Communications Physics, Vol 6, Iss 1, Pp 1-9 (2023)
Publisher Information: Nature Portfolio, 2023.
Publication Year: 2023
Collection: LCC:Astrophysics
LCC:Physics
Subject Terms: Astrophysics, QB460-466, Physics, QC1-999
More Details: Abstract Systems that synchronize in nature are intrinsically different from one another, with possibly large differences from system to system. While a vast part of the literature has investigated the emergence of network synchronization for the case of small parametric mismatches, we consider the general case that parameter mismatches may be large. We present a unified stability analysis that predicts why the range of stability of the synchronous solution either increases or decreases with parameter heterogeneity for a given network. We introduce a parametric approach, based on the definition of a curvature contribution function, which allows us to estimate the effect of mismatches on the stability of the synchronous solution in terms of contributions of pairs of eigenvalues of the Laplacian. For cases in which synchronization occurs in a bounded interval of a parameter, we study the effects of parameter heterogeneity on both transitions (asynchronous to synchronous and synchronous to asynchronous.).
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2399-3650
Relation: https://doaj.org/toc/2399-3650
DOI: 10.1038/s42005-023-01355-1
Access URL: https://doaj.org/article/e19d0a0511844c518312cc5e6052092e
Accession Number: edsdoj.19d0a0511844c518312cc5e6052092e
Database: Directory of Open Access Journals
More Details
ISSN:23993650
DOI:10.1038/s42005-023-01355-1
Published in:Communications Physics
Language:English