Canard cascading in networks with adaptive mean-field coupling

Fuente: arXiv
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Auteurs principaux: Balzer, Juan, Berner, Rico, Lüdge, Kathy, Wieczorek, Sebastian, Kurths, Jürgen, Yanchuk, Serhiy
Format: Preprint
Publié: 2024
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author Balzer, Juan
Berner, Rico
Lüdge, Kathy
Wieczorek, Sebastian
Kurths, Jürgen
Yanchuk, Serhiy
author_facet Balzer, Juan
Berner, Rico
Lüdge, Kathy
Wieczorek, Sebastian
Kurths, Jürgen
Yanchuk, Serhiy
contents Canard cascading (CC) is observed in dynamical networks with global adaptive coupling. It is a fast-slow phenomenon characterized by a recurrent sequence of fast transitions between distinct and slowly evolving quasi-stationary states. In this letter, we uncover the dynamical mechanisms behind CC, using an illustrative example of globally and adaptively coupled semiconductor lasers, where CC represents sequential switching on and off the lasers. Firstly, we show that CC is a robust and truly adaptive network effect that is scalable with network size and does not occur without adaptation. Secondly, we uncover multiple saddle slow manifolds (unstable quasi-stationary states) linked by heteroclinic orbits (fast transitions) in the phase space of the system. This allows us to identify CC with a novel heteroclinic canard orbit that organises different unstable quasi-stationary states into an intricate fast-slow limit cycle. Although individual quasi-stationary states are unstable (saddles), the CC cycle as a whole is attractive and robust to parameter changes.
format Preprint
id arxiv_https___arxiv_org_abs_2407_20758
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Canard cascading in networks with adaptive mean-field coupling
Balzer, Juan
Berner, Rico
Lüdge, Kathy
Wieczorek, Sebastian
Kurths, Jürgen
Yanchuk, Serhiy
Adaptation and Self-Organizing Systems
Pattern Formation and Solitons
Canard cascading (CC) is observed in dynamical networks with global adaptive coupling. It is a fast-slow phenomenon characterized by a recurrent sequence of fast transitions between distinct and slowly evolving quasi-stationary states. In this letter, we uncover the dynamical mechanisms behind CC, using an illustrative example of globally and adaptively coupled semiconductor lasers, where CC represents sequential switching on and off the lasers. Firstly, we show that CC is a robust and truly adaptive network effect that is scalable with network size and does not occur without adaptation. Secondly, we uncover multiple saddle slow manifolds (unstable quasi-stationary states) linked by heteroclinic orbits (fast transitions) in the phase space of the system. This allows us to identify CC with a novel heteroclinic canard orbit that organises different unstable quasi-stationary states into an intricate fast-slow limit cycle. Although individual quasi-stationary states are unstable (saddles), the CC cycle as a whole is attractive and robust to parameter changes.
title Canard cascading in networks with adaptive mean-field coupling
topic Adaptation and Self-Organizing Systems
Pattern Formation and Solitons
url https://arxiv.org/abs/2407.20758