Synchronization of Dirac–Bianconi driven oscillators

Abstract In dynamical systems on networks, one assigns the dynamics to nodes, which are then coupled via links. This approach does not account for group interactions and dynamics on links and other higher dimensional structures. Higher-order network theory addresses this by considering variables defined on nodes, links, triangles, and higher-order simplices, called topological signals (or cochains). Moreover, topological signals of different dimensions can interact through the Dirac–Bianconi operator, which allows coupling between topological signals defined, for example, on nodes and links. Such interactions can induce various dynamical behaviors, for example, periodic oscillations. The oscillating system consists of topological signals on nodes and links whose dynamics are driven by the Dirac–Bianconi coupling, hence, which we call it Dirac–Bianconi driven oscillator. Using the phase reduction method, we obtain a phase description of this system and apply it to the study of synchronization between two such oscillators. This approach offers a way to analyze oscillatory behaviors in higher-order networks beyond the node-based paradigm, while providing a ductile modeling tool for node- and edge-signals.

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Publication Details

Journal
Journal of Physics A Mathematical and Theoretical
Published
2026-02-10
DOI
https://doi.org/10.1088/1751-8121/ae442f
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
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article

Synchronization of Dirac–Bianconi driven oscillators

Riccardo Muolo, Yuzuru Kato, Iván León, Hiroya Nakao
Journal of Physics A Mathematical and Theoretical
Nonlinear Dynamics and Pattern Formation
article

Synchronization of Dirac–Bianconi driven oscillators

Riccardo Muolo, Yuzuru Kato, Iván León, Hiroya Nakao
article en

Abstract

Abstract In dynamical systems on networks, one assigns the dynamics to nodes, which are then coupled via links. This approach does not account for group interactions and dynamics on links and other higher dimensional structures. Higher-order network theory addresses this by considering variables defined on nodes, links, triangles, and higher-order simplices, called topological signals (or cochains). Moreover, topological signals of different dimensions can interact through the Dirac–Bianconi operator, which allows coupling between topological signals defined, for example, on nodes and links. Such interactions can induce various dynamical behaviors, for example, periodic oscillations. The oscillating system consists of topological signals on nodes and links whose dynamics are driven by the Dirac–Bianconi coupling, hence, which we call it Dirac–Bianconi driven oscillator. Using the phase reduction method, we obtain a phase description of this system and apply it to the study of synchronization between two such oscillators. This approach offers a way to analyze oscillatory behaviors in higher-order networks beyond the node-based paradigm, while providing a ductile modeling tool for node- and edge-signals.

Journal of Physics A Mathematical and TheoreticalVol. 59(9)
Wako University (JP), Tokyo Institute of Technology (JP), Saitama Prefecture (JP), RIKEN (JP), Future University Hakodate (JP)
Openalex Percentile: Top 100%
Nonlinear Dynamics and Pattern Formation
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