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Hauptverfasser: Zhang, Yuanzhao, Skardal, Per Sebastian, Battiston, Federico, Petri, Giovanni, Lucas, Maxime
Format: Preprint
Veröffentlicht: 2023
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Online-Zugang:https://arxiv.org/abs/2309.16581
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author Zhang, Yuanzhao
Skardal, Per Sebastian
Battiston, Federico
Petri, Giovanni
Lucas, Maxime
author_facet Zhang, Yuanzhao
Skardal, Per Sebastian
Battiston, Federico
Petri, Giovanni
Lucas, Maxime
contents A key challenge of nonlinear dynamics and network science is to understand how higher-order interactions influence collective dynamics. Although many studies have approached this question through linear stability analysis, less is known about how higher-order interactions shape the global organization of different states. Here, we shed light on this issue by analyzing the rich patterns supported by identical Kuramoto oscillators on hypergraphs. We show that higher-order interactions can have opposite effects on linear stability and basin stability: they stabilize twisted states (including full synchrony) by improving their linear stability, but also make them hard to find by dramatically reducing their basin size. Our results highlight the importance of understanding higher-order interactions from both local and global perspectives.
format Preprint
id arxiv_https___arxiv_org_abs_2309_16581
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Deeper but smaller: Higher-order interactions increase linear stability but shrink basins
Zhang, Yuanzhao
Skardal, Per Sebastian
Battiston, Federico
Petri, Giovanni
Lucas, Maxime
Adaptation and Self-Organizing Systems
Dynamical Systems
Pattern Formation and Solitons
A key challenge of nonlinear dynamics and network science is to understand how higher-order interactions influence collective dynamics. Although many studies have approached this question through linear stability analysis, less is known about how higher-order interactions shape the global organization of different states. Here, we shed light on this issue by analyzing the rich patterns supported by identical Kuramoto oscillators on hypergraphs. We show that higher-order interactions can have opposite effects on linear stability and basin stability: they stabilize twisted states (including full synchrony) by improving their linear stability, but also make them hard to find by dramatically reducing their basin size. Our results highlight the importance of understanding higher-order interactions from both local and global perspectives.
title Deeper but smaller: Higher-order interactions increase linear stability but shrink basins
topic Adaptation and Self-Organizing Systems
Dynamical Systems
Pattern Formation and Solitons
url https://arxiv.org/abs/2309.16581