Complete Synchronization and its Transition in Higher Harmonic Sakaguchi--Kuramoto Oscillators

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Hauptverfasser: Chowdhury, Subhasish, Dutta, Sangita, Khanra, Pitambar, Laha, Swarup Kumar, Kundu, Prosenjit
Format: Preprint
Veröffentlicht: 2026
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author Chowdhury, Subhasish
Dutta, Sangita
Khanra, Pitambar
Laha, Swarup Kumar
Kundu, Prosenjit
author_facet Chowdhury, Subhasish
Dutta, Sangita
Khanra, Pitambar
Laha, Swarup Kumar
Kundu, Prosenjit
contents In heterogeneous networks of coupled oscillators, phase frustration typically prevents the emergence of synchronization in the Sakaguchi--Kuramoto (SK) model. In this study, we propose an analytical framework to overcome this barrier and induce complete synchronization at a specified small coupling value in oscillators governed by phase-frustrated bi-harmonic coupling. We derive an optimal set of natural frequencies that is robust against added noise and correlated with the network degree heterogeneity, along with the parameters involved in the bi-harmonic coupling function that lead to complete synchronization ($r = 1$). In addition, we find complete synchronization transitions accompanied by hysteresis in scale-free networks, indicating a first-order (discontinuous) phase transition, whereas Erdős--Rényi networks exhibit complete synchronization through a second-order (continuous) phase transition. Furthermore, we use the mean-field approximation in the presence of optimal frequencies to determine the critical coupling strength associated with the synchronization transition in the pure second-harmonic Sakaguchi--Kuramoto model. Here, the obtained optimal natural frequencies scale linearly with the node degree, and the critical coupling strength for the onset of synchronization is derived analytically from the self-consistent equations. In this specific regime, we observe a perfectly ordered two-cluster synchronized state. These findings remain robust for higher-order harmonic coupling schemes, as well as across a diverse range of synthetic and empirical networks, including scale-free, Erdős--Rényi, Zachary Karate Club, and the \textit{C.~elegans} neural network, demonstrating their general applicability.
format Preprint
id arxiv_https___arxiv_org_abs_2604_01724
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Complete Synchronization and its Transition in Higher Harmonic Sakaguchi--Kuramoto Oscillators
Chowdhury, Subhasish
Dutta, Sangita
Khanra, Pitambar
Laha, Swarup Kumar
Kundu, Prosenjit
Adaptation and Self-Organizing Systems
In heterogeneous networks of coupled oscillators, phase frustration typically prevents the emergence of synchronization in the Sakaguchi--Kuramoto (SK) model. In this study, we propose an analytical framework to overcome this barrier and induce complete synchronization at a specified small coupling value in oscillators governed by phase-frustrated bi-harmonic coupling. We derive an optimal set of natural frequencies that is robust against added noise and correlated with the network degree heterogeneity, along with the parameters involved in the bi-harmonic coupling function that lead to complete synchronization ($r = 1$). In addition, we find complete synchronization transitions accompanied by hysteresis in scale-free networks, indicating a first-order (discontinuous) phase transition, whereas Erdős--Rényi networks exhibit complete synchronization through a second-order (continuous) phase transition. Furthermore, we use the mean-field approximation in the presence of optimal frequencies to determine the critical coupling strength associated with the synchronization transition in the pure second-harmonic Sakaguchi--Kuramoto model. Here, the obtained optimal natural frequencies scale linearly with the node degree, and the critical coupling strength for the onset of synchronization is derived analytically from the self-consistent equations. In this specific regime, we observe a perfectly ordered two-cluster synchronized state. These findings remain robust for higher-order harmonic coupling schemes, as well as across a diverse range of synthetic and empirical networks, including scale-free, Erdős--Rényi, Zachary Karate Club, and the \textit{C.~elegans} neural network, demonstrating their general applicability.
title Complete Synchronization and its Transition in Higher Harmonic Sakaguchi--Kuramoto Oscillators
topic Adaptation and Self-Organizing Systems
url https://arxiv.org/abs/2604.01724