Logo image
The spectrum of chaotic time series (I): Fourier analysis
Journal article   Peer reviewed

The spectrum of chaotic time series (I): Fourier analysis

Goong Chen, Yu Huang and Marco A. Roque-Sol
International Journal of Bifurcation and Chaos, Vol.21(5), pp.1439-1456
05/2011

Abstract

Fourier coefficients LiYorke chaos Sobolev spaces topological entropy total variation
The question of spectral analysis for deterministic chaos is not well understood in the literature. In this paper, using iterates of chaotic interval maps as time series, we analyze the mathematical properties of the Fourier series of these iterates. The key idea is the connection between the total variation and the topological entropy of the iterates of the interval map, from where special properties of the Fourier coefficients are obtained. Various examples are given to illustrate the applications of the main theorems. © 2011 World Scientific Publishing Company.

Metrics

1 Record Views

Details

Logo image