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Uniform-in-time asymptotic limits of generalized Kuramoto models
  • Cho, Hangjun ;
  • Ha, Seung Yeal ;
  • Kang, Myeongju ;
  • Min, Chan Ho
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Publication Year
2025-09-15
Journal
Journal of Differential Equations
Publisher
Academic Press Inc.
Citation
Journal of Differential Equations, Vol.439
Keyword
Asymptotic limitsComplete synchronizationContinuum limitGeneralized Kuramoto modelMean-field limit
All Science Classification Codes (ASJC)
AnalysisApplied Mathematics
Abstract
We study two uniform-in-time asymptotic limits for generalized Kuramoto (GK) models. For these GK type models, we first derive the uniform stability estimates with respect to initial data, natural frequency and communication network under a suitable framework, and then as direct applications of this uniform stability estimate, we establish two asymptotic limits which are valid in the whole time interval, namely uniform-in-time continuum and mean-filed limit to the continuum and kinetic GK models, respectively. In the mean-field limit setting (the number of particles tends to infinity), we show global-in-time existence of measure-valued solutions to the corresponding kinetic equation. On the other hand, in a continuum limit setting (the lattice size tends to zero), we show that the lattice GKM solutions converge to a classical solution to the continuum GK model in supremum norm. Two asymptotic limits improve earlier results for the generalized GK type models.
ISSN
1090-2732
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38324
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105004646632&origin=inward
DOI
https://doi.org/10.1016/j.jde.2025.113386
Journal URL
https://www.sciencedirect.com/science/journal/00220396
Type
Article
Funding
Acknowledgment. The work of H. Cho was supported by the National Research Foundation(NRF) of Korea grant funded by the Korea government(MSIT) ( NRF - RS-2023-00253171 ), the work of S.-Y. Ha was supported by NRF - RS2025-00514472 , and the work of C. Min was supported by Ajou University Research Fund.
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