logo
ResearchBunny Logo
Abstract
Topological signals defined on nodes, links, and higher-dimensional simplices describe the dynamic state of a network or simplicial complex. This paper investigates Dirac synchronization, a model that locally couples topological signals on nodes and links using the topological Dirac operator. The dynamics includes a phase lag dependent on the state of nearby links (and vice-versa). On a fully connected network, Dirac synchronization exhibits explosive behavior with a hysteresis loop, featuring a discontinuous forward transition and a continuous backward transition. Analysis of the phase diagram reveals a theoretical understanding of this explosive synchronization. The model also displays a rhythmic phase with non-stationary order parameters, potentially explaining topological mechanisms for brain rhythms.
Publisher
Communications Physics
Published On
Oct 17, 2022
Authors
Lucille Calmon, Juan G. Restrepo, Joaquín J. Torres, Ginestra Bianconi
Tags
Dirac synchronization
topological signals
network dynamics
phase diagram
explosive behavior
hysteresis loop
brain rhythms
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny