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Stability of twisted states in the Kuramoto model on Cayley and random graphs
- Publication Year :
- 2014
-
Abstract
- The Kuramoto model (KM) of coupled phase oscillators on complete, Paley, and Erdos-Renyi (ER) graphs is analyzed in this work. As quasirandom graphs, the complete, Paley, and ER graphs share many structural properties. For instance, they exhibit the same asymptotics of the edge distributions, homomorphism densities, graph spectra, and have constant graph limits. Nonetheless, we show that the asymptotic behavior of solutions in the KM on these graphs can be qualitatively different. Specifically, we identify twisted states, steady state solutions of the KM on complete and Paley graphs, which are stable for one family of graphs but not for the other. On the other hand, we show that the solutions of the IVPs for the KM on complete and random graphs remain close on finite time intervals, provided they start from close initial conditions and the graphs are sufficiently large. Therefore, the results of this paper elucidate the relation between the network structure and dynamics in coupled nonlinear dynamical systems. Furthermore, we present new results on synchronization and stability of twisted states for the KM on Cayley and random graphs.<br />Journal of Nonlinear Science, 2015
- Subjects :
- Random graph
Pure mathematics
34C15, 45J05, 45L05, 05C90
Cayley graph
Paley graph
Applied Mathematics
Kuramoto model
General Engineering
FOS: Physical sciences
Pattern Formation and Solitons (nlin.PS)
Dynamical Systems (math.DS)
Nonlinear Sciences - Pattern Formation and Solitons
Nonlinear dynamical systems
Graph spectra
Modeling and Simulation
FOS: Biological sciences
Quantitative Biology - Neurons and Cognition
FOS: Mathematics
Initial value problem
Homomorphism
Neurons and Cognition (q-bio.NC)
Mathematics - Dynamical Systems
Mathematics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....37c613e36868293dd6c196a7090ea6f6