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Spectrum of extensive multiclusters in the Kuramoto model with higher-order interactions

Can Xu, Per Sebastian Skardal

2021Physical Review Research45 citationsDOIOpen Access PDF

Abstract

Globally coupled ensembles of phase oscillators serve as useful tools for modeling synchronization and collective behavior in a variety of applications. As interest in the effects of simplicial interactions (i.e., nonadditive, higher-order interactions between three or more units) continues to grow, we study an extension of the Kuramoto model where oscillators are coupled via three-way interactions that exhibits novel dynamical properties including clustering, multistability, and abrupt desynchronization transitions. Here we provide a rigorous description of the stability of various multicluster states by studying their spectral properties in the thermodynamic limit. Not unlike the classical Kuramoto model, a natural frequency distribution with infinite support yields a population of drifting oscillators, which in turn guarantees that a portion of the spectrum is located on the imaginary axes, resulting in neutrally stable or unstable solutions. On the other hand, a natural frequency distribution with finite support allows for a fully phase-locked state, whose spectrum is real and may be linearly stable or unstable.

Topics & Concepts

Kuramoto modelStatistical physicsStability (learning theory)Spectrum (functional analysis)Synchronization (alternating current)PopulationDistribution (mathematics)Variety (cybernetics)Phase (matter)MathematicsPhysicsPopulation modelCollective behaviorDynamical systems theorySynchronization networksTopology (electrical circuits)Complex systemExtension (predicate logic)Spectral propertiesNonlinear dynamical systemsDynamical system (definition)Computer sciencePhase transitionDegree distributionProbability distributionDynamics (music)Spectral power distributionSpectral densityType (biology)Mathematical modelNonlinear Dynamics and Pattern FormationStability and Controllability of Differential EquationsNeural dynamics and brain function