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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 behavior can be characterized by properties such as mixing and ergodicity. This article presents two different approximations of a dynamical system, that approximates the ergodicity of the dynamics in different manner. 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 continuous-time 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. |
