The random graph process is globally synchronizing
Vishesh Jain, Clayton Mizgerd, Mehtaab Sawhney

TL;DR
This paper proves that a random graph process becomes globally synchronizing with high probability once it is connected, confirming a conjecture and establishing connectivity as a threshold for synchronization.
Contribution
It confirms a conjecture that the random graph process is globally synchronizing once connected, establishing connectivity as a necessary and sufficient condition for synchronization.
Findings
Random graph process becomes globally synchronizing once connected
Connectivity is a threshold for global synchronization
Confirms a conjecture by Abdalla et al.
Abstract
The homogeneous Kuramoto model on a graph is a network of identical oscillators, one at each vertex, where every oscillator is coupled bidirectionally (with unit strength) to its neighbors in the graph. A graph is said to be globally synchronizing if, for almost every initial condition, the homogeneous Kuramoto model converges to the all-in-phase synchronous state. Confirming a conjecture of Abdalla, Bandeira, Kassabov, Souza, Strogatz, and Townsend, we show that with high probability, the random graph process becomes globally synchronizing as soon as it is connected. This is best possible, since connectivity is a necessary condition for global synchronization.
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Taxonomy
TopicsGene Regulatory Network Analysis · Nonlinear Dynamics and Pattern Formation · Advanced Thermodynamics and Statistical Mechanics
