Geometric and dynamic perspectives on phase-coherent and noncoherent chaos

被引:11
|
作者
Zou, Yong [1 ,2 ,3 ]
Donner, Reik V. [1 ]
Kurths, Juergen [1 ,4 ,5 ]
机构
[1] Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany
[2] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Kowloon, Hong Kong, Peoples R China
[3] E China Normal Univ, Dept Phys, Shanghai 200062, Peoples R China
[4] Humboldt Univ, Dept Phys, D-12489 Berlin, Germany
[5] Univ Aberdeen, Inst Complex Syst & Math Biol, Aberdeen AB24 UE, Scotland
关键词
RECURRENCE TIME STATISTICS; COMPLEX NETWORKS; STOCHASTIC-ANALYSIS; SYSTEMS; PLOTS; SYNCHRONIZATION; BIFURCATIONS; TRANSITIONS; SERIES; QUANTIFICATION;
D O I
10.1063/1.3677367
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Statistically distinguishing between phase-coherent and noncoherent chaotic dynamics from time series is a contemporary problem in nonlinear sciences. In this work, we propose different measures based on recurrence properties of recorded trajectories, which characterize the underlying systems from both geometric and dynamic viewpoints. The potentials of the individual measures for discriminating phase-coherent and noncoherent chaotic oscillations are discussed. A detailed numerical analysis is performed for the chaotic Rossler system, which displays both types of chaos as one control parameter is varied, and the Mackey-Glass system as an example of a time-delay system with noncoherent chaos. Our results demonstrate that especially geometric measures from recurrence network analysis are well suited for tracing transitions between spiral-and screw-type chaos, a common route from phase-coherent to noncoherent chaos also found in other nonlinear oscillators. A detailed explanation of the observed behavior in terms of attractor geometry is given. (C) 2012 American Institute of Physics. [doi:10.1063/1.3677367]
引用
收藏
页数:12
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