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UNIFORM STABILITY AND MEAN-FIELD LIMIT FOR THE AUGMENTED KURAMOTO MODEL

Authors
Ha, Seung-YealKim, JeonghoPark, JinyeongZhang, Xiongtao
Issue Date
Jun-2018
Publisher
AMER INST MATHEMATICAL SCIENCES-AIMS
Keywords
The Kuramoto model; mean-field limit; synchronization; uniform stability
Citation
NETWORKS AND HETEROGENEOUS MEDIA, v.13, no.2, pp.297 - 322
Indexed
SCIE
SCOPUS
Journal Title
NETWORKS AND HETEROGENEOUS MEDIA
Volume
13
Number
2
Start Page
297
End Page
322
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/149951
DOI
10.3934/nhm.2018013
ISSN
1556-1801
Abstract
We present two uniform estimates on stability and mean-field limit for the "augmented Kuramoto model (AKM)" arising from the second-order lifting of the first-order Kuramoto model (KM) for synchronization. In particular, we address three issues such as synchronization estimate, uniform stability and mean-field limit which are valid uniformly in time for the AKM. The derived mean-field equation for the AKM corresponds to the dissipative Vlasov-McKean type equation. The kinetic Kuramoto equation for distributed natural frequencies is not compatible with the frequency variance functional approach for the complete synchronization. In contrast, the kinetic equation for the AKM has a similar structural similarity with the kinetic Cucker-Smale equation which admits the Lyapunov functional approach for the variance. We present sufficient frameworks leading to the uniform stability and mean-field limit for the AKM.
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