Different Statistical Behaviors of Orbits

TL;DR

This paper investigates the statistical behaviors of orbits in dynamical systems, classifying them based on density criteria, and demonstrates the existence of multiple entropy-rich orbit classes, with applications to various complex systems.

Contribution

Introduces a new classification scheme for dynamical orbits using density measures and proves the existence of multiple entropy-rich classes in specific systems.

Findings

50 cases of orbit behaviors exist.

35 classes carry full topological entropy in certain systems.

9 cases are observable in some differential dynamical systems.

Abstract

In this paper, we will study the statistical behaviors of orbits. Firstly, we will show that for a dynamical systems have the shadowing property or almost specification property, the set of nonrecurrent points has full topological entropy. After that, we introduce a criteria for classification of dynamical orbits in order to study the complexity theory of dynamical systems. The criteria is to use upper and lower natural density, upper and lower Banach density to divide different statistical future of dynamical orbits into 56 cases, 28 cases for recurrent orbits and 28 cases for nonrecurrent orbits. We will show the existence of 50 cases and for topologically transitive topologically expanding or topologically transitive topologically Anosov dynamical systems, we will prove that 35 classes, including all the 28 cases for nonrecurrent orbits, can carry full topological entropy. Besides, we will prove that 9 cases can be observable in some differential dynamical systems. Finally, we will apply our results to $\b{eta}-$shifts, $C^{1+{\alpha}}$ surface diffeomorphisms and Ma$\~n\'$e diffeomorphisms.