Direct dynamical test for deterministic chaos and optimal embedding of a chaotic time series
- 1 May 1994
- journal article
- Published by American Physical Society (APS) in Physical Review E
- Vol. 49 (5) , 3807-3814
- https://doi.org/10.1103/physreve.49.3807
Abstract
We propose here a local exponential divergence plot which is capable of providing an alternative means of characterizing a complex time series. The suggested plot defines a time-dependent exponent and a ‘‘plus’’ exponent. Based on their changes with the embedding dimension and delay time, a criterion for estimating simultaneously the minimal acceptable embedding dimension, the proper delay time, and the largest Lyapunov exponent has been obtained. When redefining the time-dependent exponent Λ(k) curves on a series of shells, we have found that whether a linear envelope to the Λ(k) curves exists can serve as a direct dynamical method of distinguishing chaos from noise.Keywords
This publication has 30 references indexed in Scilit:
- Distinguishing between low-dimensional dynamics and randomness in measured time seriesPhysica D: Nonlinear Phenomena, 1992
- Some comments on the correlation dimension of 1/fα noisePhysics Letters A, 1991
- Convergence of the K2 entropy for random noises with power law spectraPhysica D: Nonlinear Phenomena, 1991
- Finite correlation dimension for stochastic systems with power-law spectraPhysica D: Nonlinear Phenomena, 1989
- Measurement of the Lyapunov Spectrum from a Chaotic Time SeriesPhysical Review Letters, 1985
- Ergodic theory of chaos and strange attractorsReviews of Modern Physics, 1985
- Determining Lyapunov exponents from a time seriesPhysica D: Nonlinear Phenomena, 1985
- Measuring the strangeness of strange attractorsPhysica D: Nonlinear Phenomena, 1983
- Estimation of the Kolmogorov entropy from a chaotic signalPhysical Review A, 1983
- Geometry from a Time SeriesPhysical Review Letters, 1980