Analysis of chaotic saddles in high-dimensional dynamical systems: the Kuramoto-Sivashinsky equation

Chaos. 2004 Sep;14(3):545-56. doi: 10.1063/1.1759297.

Abstract

This paper presents a methodology to study the role played by nonattracting chaotic sets called chaotic saddles in chaotic transitions of high-dimensional dynamical systems. Our methodology is applied to the Kuramoto-Sivashinsky equation, a reaction-diffusion partial differential equation. The paper describes a novel technique that uses the stable manifold of a chaotic saddle to characterize the homoclinic tangency responsible for an interior crisis, a chaotic transition that results in the enlargement of a chaotic attractor. The numerical techniques explained here are important to improve the understanding of the connection between low-dimensional chaotic systems and spatiotemporal systems which exhibit temporal chaos and spatial coherence.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Diffusion
  • Models, Statistical
  • Models, Theoretical
  • Nonlinear Dynamics*
  • Time Factors