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The analysis of mode-locking topology in an SIR epidemic dynamics model with impulsive vaccination control: Infinite cascade of Stern-Brocot sum trees.

Authors :
Rao, Xiao-Bo
Zhao, Xu-Ping
Chu, Yan-Dong
Zhang, Jian-Gang
Gao, Jian-She
Source :
Chaos, Solitons & Fractals. Oct2020, Vol. 139, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• Based on GPU parallel computing technology, the topology of mode-locking in a hybrid discrete/continuous non-smooth system is investigated. • A new cloned dynamical approach is employed to calculate the Lyapunov exponent of the hybrid system. • The mode-locking topology is organized regularly according to the elusive Stern-Brocot sum tree. • The mode-locking order is unfolded in a way that never encountered before to emerge in perfect agreement with the reciprocal of the Stern-Brocot sum tree. We report the topology of stable periodic solutions of an SIR epidemic dynamics model with impulsive vaccination control, a hybrid discrete/continuous non-smooth system, in the parameter plane spanned by the pulse period T and the quantity of pulse vaccination b. This mode-locking topology is governed by an invariant torus (a pair of frequencies) initiated from Hopf bifurcations rather than the fast-slow time scales, and its periodicity is in perfect agreement with the so-called Stern-Brocot sum tree, a derived tree from "Farey algorithm". More surprisingly, the mode-locking order is unfolded in a way that never encountered before to emerge organized according to the reciprocal of the Stern-Brocot sum tree. Furthermore, the global organization of mode-locking is not isolated structure but an infinite Stern-Brocot sum tree cascade when tuning the control parameter T. The results obtained contribute a new framework to classify mode-locking oscillations observed in the hybrid system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09600779
Volume :
139
Database :
Academic Search Index
Journal :
Chaos, Solitons & Fractals
Publication Type :
Periodical
Accession number :
146832182
Full Text :
https://doi.org/10.1016/j.chaos.2020.110031