{"title":"Effect of heterogeneities in two-populations of globally coupled phase oscillators with higher-order interaction","authors":"Rumi Kar , V.K. Chandrasekar , D.V. Senthilkumar","doi":"10.1016/j.chaos.2024.115849","DOIUrl":null,"url":null,"abstract":"<div><div>We investigate the collective dynamics of a network comprising two populations of globally coupled phase oscillators with intrinsic frequency heterogeneity and varying fractions of pairwise and higher-order interactions. Our results show that, with homogeneous phase lag parameters, increasing the fraction of higher-order interactions and coupling strength leads to more complex dynamics, including distinct monostable and bistable chimera regions. Considering the heterogeneity of the phase lag parameter between pairwise and higher-order interactions, our study reveals that increasing the fraction of higher-order interactions leads to the emergence of various bistable and multistable regions while destabilizing monostable chimera regions, especially at small coupling strengths. Conversely, increasing the coupling strength has minimal impact on the system’s dynamics for small fractions of higher-order interactions, whereas a larger fraction of higher-order interactions uncovers additional bistable and multistable regions. We derive low-dimensional reduced equations from the <span><math><mi>N</mi></math></span>-dimensional discrete system using the Ott–Antonsen ansatz and obtain bifurcation curves using XPPAUT software. Additionally, we deduce stability conditions for both synchronized and desynchronized states, which align precisely with the numerical results.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"191 ","pages":"Article 115849"},"PeriodicalIF":5.3000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077924014012","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
We investigate the collective dynamics of a network comprising two populations of globally coupled phase oscillators with intrinsic frequency heterogeneity and varying fractions of pairwise and higher-order interactions. Our results show that, with homogeneous phase lag parameters, increasing the fraction of higher-order interactions and coupling strength leads to more complex dynamics, including distinct monostable and bistable chimera regions. Considering the heterogeneity of the phase lag parameter between pairwise and higher-order interactions, our study reveals that increasing the fraction of higher-order interactions leads to the emergence of various bistable and multistable regions while destabilizing monostable chimera regions, especially at small coupling strengths. Conversely, increasing the coupling strength has minimal impact on the system’s dynamics for small fractions of higher-order interactions, whereas a larger fraction of higher-order interactions uncovers additional bistable and multistable regions. We derive low-dimensional reduced equations from the -dimensional discrete system using the Ott–Antonsen ansatz and obtain bifurcation curves using XPPAUT software. Additionally, we deduce stability conditions for both synchronized and desynchronized states, which align precisely with the numerical results.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.