Correlation between the Hurst exponent and the maximal Lyapunov exponent: examining some low-dimensional conservative maps
From MaRDI portal
Publication:2150040
DOI10.1016/j.physa.2017.08.159OpenAlexW2963481239WikidataQ112221799 ScholiaQ112221799MaRDI QIDQ2150040
Publication date: 27 June 2022
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1501.03766
Related Items (3)
Stability, collapse and hyperchaos in a class of tri-trophic predator-prey models ⋮ Polynomial stochastic dynamical indicators ⋮ Stochastic global stability and bifurcation of a hydro-turbine generator
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Exponential decay of correlations for nonuniformly hyperbolic flows with a \(C^{1+\alpha}\) stable foliation, including the classical Lorenz attractor
- Analysis of a new three-dimensional chaotic system
- Complex Hamiltonian dynamics. With a foreword by Sergej Flach
- A renormalization approach to invariant circles in area-preserving maps
- Determining Lyapunov exponents from a time series
- Correlation properties of dynamical chaos in Hamiltonian systems
- Lyapunov characteristic exponents for smooth dynamical systems and for Hamiltonian systems; a method for computing all of them. I: Theory
- Regular and chaotic dynamics.
- On the relationship between the Hurst exponent, the ratio of the mean square successive difference to the variance, and the number of turning points
- Linear stability of natural symplectic maps.
- A practical method for calculating largest Lyapunov exponents from small data sets
- Bifurcations and chaotic dynamics in a 4-dimensional competitive Lotka-Volterra system
- Chaos and Hopf bifurcation of a finance system
- Practical implementation of nonlinear time series methods: The <scp>TISEAN</scp> package
- Essentials of Hamiltonian Dynamics
- Symplectic maps, variational principles, and transport
- Wavelet packet computation of the Hurst exponent
- Alignment indices: a new, simple method for determining the ordered or chaotic nature of orbits
- Deterministic Nonperiodic Flow
- Chaos in Dynamical Systems
- Bayesian Reasoning and Machine Learning
- Nearest neighbor pattern classification
- Fractional Brownian Motions, Fractional Noises and Applications
- On the structure of symplectic mappings. The fast Lyapunov indicator: A very sensitive tool
This page was built for publication: Correlation between the Hurst exponent and the maximal Lyapunov exponent: examining some low-dimensional conservative maps