Entropy, chaos and weak horseshoe for infinite dimensional random dynamical systems

TL;DR

This paper investigates the complex dynamics of infinite dimensional random dynamical systems, demonstrating that positive topological entropy leads to chaos and horseshoe structures without requiring hyperbolicity.

Contribution

It establishes a link between positive topological entropy and chaotic behavior in infinite dimensional random systems without hyperbolicity assumptions.

Findings

Positive topological entropy implies the existence of a topological horseshoe.

Positive entropy indicates chaos in the sense of Li-Yorke.

Complex dynamics are driven by entropy, not randomness.

Abstract

In this paper, we study the complicated dynamics of infinite dimensional random dynamical systems which include deterministic dynamical systems as their special cases in a Polish space. Without assuming any hyperbolicity, we proved if a continuous random map has a positive topological entropy, then it contains a topological horseshoe. We also show that the positive topological entropy implies the chaos in the sense of Li-Yorke. The complicated behavior exhibiting here is induced by the positive entropy but not the randomness of the system.