Transients versus network interactions give rise to multistability through trapping mechanism

In networked systems, the interplay between the dynamics of individual subsystems and their network interactions has been found to generate multistability in various contexts. Despite its ubiquity, the specific mechanisms and ingredients that give rise to multistability from such interplay remain poorly understood. In a network of coupled excitable units, we demonstrate that this interplay generating multistability occurs through a competition between the units' transient dynamics and their coupling. Specifically, the diffusive coupling between the units reinjects them into the excitability region of their individual state space, effectively trapping them there. We show that this trapping mechanism leads to the coexistence of multiple types of oscillations: periodic, quasi-periodic, and even chaotic, although the units separately do not oscillate. Interestingly, we find that the attractors emerge through different types of bifurcations-in particular, the periodic attractors emerge through either saddle-node of limit cycles bifurcations or homoclinic bifurcations-but in all cases, the reinjection mechanism is present.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2025-03-01
DOI
https://doi.org/10.1063/5.0249997
Citations
1
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
1.49

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article

Transients versus network interactions give rise to multistability through trapping mechanism

Ulrike Feudel, Kalel L. Rossi, Peter Ashwin, Everton S. Medeiros
1 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Nonlinear Dynamics and Pattern Formation
1.49
article

Transients versus network interactions give rise to multistability through trapping mechanism

Ulrike Feudel, Kalel L. Rossi, Peter Ashwin, Everton S. Medeiros
article en
1 citations

Abstract

In networked systems, the interplay between the dynamics of individual subsystems and their network interactions has been found to generate multistability in various contexts. Despite its ubiquity, the specific mechanisms and ingredients that give rise to multistability from such interplay remain poorly understood. In a network of coupled excitable units, we demonstrate that this interplay generating multistability occurs through a competition between the units' transient dynamics and their coupling. Specifically, the diffusive coupling between the units reinjects them into the excitability region of their individual state space, effectively trapping them there. We show that this trapping mechanism leads to the coexistence of multiple types of oscillations: periodic, quasi-periodic, and even chaotic, although the units separately do not oscillate. Interestingly, we find that the attractors emerge through different types of bifurcations-in particular, the periodic attractors emerge through either saddle-node of limit cycles bifurcations or homoclinic bifurcations-but in all cases, the reinjection mechanism is present.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 35(3)
Carl von Ossietzky Universität Oldenburg (DE), University of Exeter (GB), Exact Sciences (United States) (US), Universidade Estadual Paulista (Unesp) (BR)
Carl von Ossietzky Universität Oldenburg, Deutscher Akademischer Austauschdienst, Deutsche Forschungsgemeinschaft, Fundação de Amparo à Pesquisa do Estado de São Paulo, Niedersächsisches Ministerium für Wissenschaft und Kultur
Openalex Percentile: Top 19%
Nonlinear Dynamics and Pattern Formation
1.49
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Transients versus network interactions give rise to multistability through trapping mechanism — Ulrike Feudel, Kalel L. Rossi, et al. · Chaos An Interdisciplinary Journal of Nonlinear Science (2025) | TGRS Research Map | TGRS