Litcius/Paper detail

Asymmetry-induced order in multilayer networks

Everton S. Medeiros, Ulrike Feudel, Anna Zakharova

2021Physical review. E21 citationsDOIOpen Access PDF

Abstract

Symmetries naturally occur in real-world networks and can significantly influence the observed dynamics. For instance, many synchronization patterns result from the underlying network symmetries, and high symmetries are known to increase the stability of synchronization. Yet here we find that general macroscopic features of network solutions such as regularity can be induced by breaking their symmetry of interactions. We demonstrate this effect in an ecological multilayer network where the topological asymmetries occur naturally. These asymmetries rescue the system from chaotic oscillations by establishing stable periodic orbits and equilibria. We call this phenomenon asymmetry-induced order and uncover its mechanism by analyzing both analytically and numerically the absence of dynamics on the system's synchronization manifold. Moreover, the bifurcation scenario describing the route from chaos to order is also disclosed. We demonstrate that this result also holds for generic node dynamics by analyzing coupled paradigmatic Rössler and Lorenz systems.

Topics & Concepts

Synchronization (alternating current)AsymmetryHomogeneous spaceChaoticBifurcationOrder (exchange)Symmetry (geometry)Stability (learning theory)PhysicsNode (physics)Topology (electrical circuits)Manifold (fluid mechanics)Dynamics (music)Statistical physicsComputer scienceMathematicsArtificial intelligenceGeometryQuantum mechanicsNonlinear systemAcousticsMechanical engineeringFinanceMachine learningEconomicsCombinatoricsEngineeringNonlinear Dynamics and Pattern FormationNeural Networks Stability and Synchronizationstochastic dynamics and bifurcation