Discrete-time dynamics, step-skew products, and pipe-flows

Abstract

A discrete-time deterministic dynamical system is governed at every step by a predetermined law. However the dynamics can lead to many complexities in the phase space and in the domain of observables that makes it comparable to a stochastic process. This article presents two different ways of representing a dynamical system by stochastic processes. The first is a step-skew product system, in which a finite state Markov process drives a dynamics on Euclidean space. The second is a skew-product system, in which a deterministic, mixing flow intermittently drives a deterministic flow through a topological space created by gluing cylinders. This system is called a perturbed pipe-flow. We show how these three representations are interchangeable. The inter-connections also reveal how a deterministic chaotic system partitions the phase space at a local level, and also mixes the phase space at a global level.