The conventional method for estimating Lyapunov spectra can give spurious positive Lyapunov exponents when applied to random time series. We analyze this phenomenon by considering a situation in which the method is applied to completely random time series produced by a simple stochastic model. We sh
Statistical analysis of Lyapunov exponents from time series: A Jacobian approach
โ Scribed by D. Lai; G. Chen
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 663 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0895-7177
No coin nor oath required. For personal study only.
โฆ Synopsis
In this paper, we provide a statistical analysis for the Lyapunov exponents estimated from time series. Through the Jacobian estimation approach, the asymptotic distributions of the estimated Lyapunov exponents of discrete-time dynamical systems are studied and characterized baaed on the time series. Some new results under weak conditions are obtained. The theoretical results presented in the paper are illustrated by numerical simulations.
๐ SIMILAR VOLUMES
The program presented computes all the Lyapunov exponents of an unknown dynamical system from a time series. The method used is based on a fitting of the time series with an analytical function through a least square minimizatior, after which the Lyapunov exponents are determined from the stability