From zero to positive entropy

TL;DR

This paper explores new methods to understand how complex systems transition from ordered to chaotic behavior, extending theories from one-dimensional to two-dimensional dynamics to analyze entropy changes.

Contribution

It introduces a tentative framework for analyzing two-dimensional dynamics, aiming to generalize one-dimensional entropy transition theories to higher dimensions.

Findings

Proposes a new approach for two-dimensional dynamics

Suggests a pathway to understand entropy increase from zero to positive

Extends one-dimensional chaos theories to more complex systems

Abstract

In the sciences in general, the phrase "route to chaos" has come to refer to a metaphor when some physical, biological, economic, or social system transitions from one exhibiting order to one displaying randomness (or chaos). Sometimes the goal is to understand which universal mechanisms explain that transition, and how one can describe systems that operate in a region between order and complete chaos. In other words, the goal is to understand the mathematical processes by which a system evolves from one whose recurrent set is finite towards another one exhibiting chaotic behavior as parameters governing the behavior of the system are varied. This has only been understood for one-dimensional dynamics. The present note exposes new approaches that allow one to move away from those limitations. A tentative global framework toward describing a large class of two-dimensional dynamics, inspired partially by the developments in the one-dimensional theory of interval maps is discussed. More precisely, we present a class of intermediate smooth dynamics between one and higher dimensions. In this setting, it could be possible to develop a similar one-dimensional type approach and in particular to understand the transition from zero entropy to positive entropy.