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Stability of synchronization in simplicial complexes

Lucia Valentina Gambuzza, Francesca Di Patti, Luca Gallo, Stefano Lepri, Miguel Romance, Regino Criado, Mattia Frasca, Vito Latora, Stefano Boccaletti

2021Nature Communications327 citationsDOIOpen Access PDF

Abstract

Various systems in physics, biology, social sciences and engineering have been successfully modeled as networks of coupled dynamical systems, where the links describe pairwise interactions. This is, however, too strong a limitation, as recent studies have revealed that higher-order many-body interactions are present in social groups, ecosystems and in the human brain, and they actually affect the emergent dynamics of all these systems. Here, we introduce a general framework to study coupled dynamical systems accounting for the precise microscopic structure of their interactions at any possible order. We show that complete synchronization exists as an invariant solution, and give the necessary condition for it to be observed as a stable state. Moreover, in some relevant instances, such a necessary condition takes the form of a Master Stability Function. This generalizes the existing results valid for pairwise interactions to the case of complex systems with the most general possible architecture.

Topics & Concepts

Pairwise comparisonDynamical systems theorySynchronization (alternating current)Computer scienceComplex systemInvariant (physics)Stability (learning theory)Simplicial complexLiving systemsOrder (exchange)Theoretical computer scienceStatistical physicsTopology (electrical circuits)MathematicsPure mathematicsArtificial intelligencePhysicsCombinatoricsQuantum mechanicsEconomicsFinanceMachine learningNonlinear Dynamics and Pattern FormationNeural dynamics and brain functionSlime Mold and Myxomycetes Research
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