Geometric and dynamic perspectives on phase-coherent and noncoherent chaos

Abstract

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 Rössler 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.

12 pages, 13 figures

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Cited by in corpus (4)

• Complex network approaches to nonlinear time series analysis
• Analytical framework for recurrence-network analysis of time series
• Geometric detection of coupling directions by means of inter-system recurrence networks
• Analyzing long-term correlated stochastic processes by means of recurrence networks: Potentials and pitfalls