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Open AccessJournal ArticleDOI

Coupled dynamics on hypergraphs: Master stability of steady states and synchronization.

Raffaella Mulas, +2 more
- 29 Jun 2020 - 
- Vol. 101, Iss: 6, pp 062313-062313
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TLDR
This work generalizes the master stability approach to hypergraphs and provides a blueprint for how to generalize dynamical structures and results from graphs tohypergraphs.
Abstract
In the study of dynamical systems on networks or graphs, a key theme is how the network topology influences stability for steady states or synchronized states. Ideally, one would like to derive conditions for stability or instability that, instead of microscopic details of the individual nodes or vertices, rather make the influence of the network coupling topology visible. The master stability function is an important such tool to achieve this goal. Here, we generalize the master stability approach to hypergraphs. A hypergraph coupling structure is important as it allows us to take into account arbitrary higher-order interactions between nodes. As, for instance, in the theory of coupled map lattices, we study Laplace-type interaction structures in detail. Since the spectral theory of Laplacians on hypergraphs is richer than on graphs, we see the possibility of different dynamical phenomena. More generally, our arguments provide a blueprint for how to generalize dynamical structures and results from graphs to hypergraphs.

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Citations
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Higher-order interactions in complex networks of phase oscillators promote abrupt synchronization switching

TL;DR: In this article, higher-order interactions between coupled phase oscillators, encoded microscopically in a simplicial complex, give rise to added nonlinearity in the macroscopic system dynamics that induces abrupt synchronization transitions via hysteresis and bistability of synchronized and incoherent states.
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Dynamics on higher-order networks: a review

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BookDOI

Dynamical systems on networks

Mark Newman
TL;DR: This chapter starts with a short introduction to classical (non-network) dynamical systems theory, including linear stability analysis, fixed points, and limit cycles, leading to master stability conditions and the connection between stability and the spectral properties of networks.
Journal ArticleDOI

Higher-order interactions in complex networks of phase oscillators promote abrupt synchronization switching

TL;DR: These findings reveal a self-organized phenomenon that may be responsible for the rapid switching to synchronization in many biological and other systems that exhibit synchronization without the need of particular correlation mechanisms between the oscillators and the topological structure.
References
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Book

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Mark Newman
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Allen Hatcher
Journal ArticleDOI

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TL;DR: The advances in the comprehension of synchronization phenomena when oscillating elements are constrained to interact in a complex network topology are reported and the new emergent features coming out from the interplay between the structure and the function of the underlying pattern of connections are overviewed.
Book

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Ludwig Arnold
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