Generalization of the Gauss Map: a Jump Into Chaos With Universal Features
Loading...

Date
2024
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Amer Physical Soc
Open Access Color
HYBRID
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The Gauss map (or continued fraction map) is an important dissipative one-dimensional discrete-time dynamical system that exhibits chaotic behavior, and it generates a symbolic dynamics consisting of infinitely many different symbols. Here we introduce a generalization of the Gauss map, which is given by xt+1 = 1 where alpha 0 is a parameter and xt is an element of [0, 1] (t = 0, 1, 2, 3, ...). The symbol [... ] denotes the integer part. This map reduces to the ordinary Gauss map for alpha = 1. The system exhibits a sudden "jump into chaos" at the critical parameter value alpha = alpha c equivalent to 0.241485141808811 ... which we analyze in detail in this paper. Several analytical and numerical results are established for this new map as a function of the parameter alpha. In particular, we show that, at the critical point, the invariant density approaches a q-Gaussian with q = 2 (i.e., the Cauchy distribution), which becomes infinitely narrow as alpha -* alpha c+. Moreover, in the chaotic region for large values of the parameter alpha we analytically derive approximate formulas for the invariant density, by solving the corresponding Perron-Frobenius equation. For alpha -* infinity the uniform density is approached. We provide arguments that some features of this transition scenario are universal and are relevant for other, more general systems as well.
Description
Keywords
[No Keyword Available], Chaotic Dynamics, Statistical Mechanics (cond-mat.stat-mech), FOS: Physical sciences, Chaotic Dynamics (nlin.CD), Statistical Mechanics
Fields of Science
Citation
WoS Q
Q1
Scopus Q
Q2

OpenCitations Citation Count
N/A
Source
Physical Review E
Volume
110
Issue
6
Start Page
End Page
PlumX Metrics
Citations
Scopus : 4
Captures
Mendeley Readers : 1
Google Scholar™


