scholarly journals Stochastic stability versus localization in one-dimensional chaotic dynamical systems

Nonlinearity ◽  
1997 ◽  
Vol 10 (1) ◽  
pp. 81-107 ◽  
Author(s):  
Michael Blank ◽  
Gerhard Keller
1993 ◽  
Vol 03 (04) ◽  
pp. 1067-1074 ◽  
Author(s):  
V. PÉREZ-VILLAR ◽  
A. P. MUÑUZURI ◽  
V. PÉREZ-MUÑUZURI ◽  
L. O. CHUA

Linear stability analysis is used to study the synchronization of N coupled chaotic dynamical systems. It is found that the role of the coupling is always to stabilize the system, and then synchronize it. Computer simulations and experimental results of an array of Chua's circuits are carried out. Arrays of identical and slightly different oscillators are considered. In the first case, the oscillators synchronize and sync-phase, i.e., each one repeats exactly the same behavior as the rest of them. When the oscillators are not identical, they can also synchronize but not in phase with each other. The last situation is shown to form structures in the phase space of the dynamical variables. Due to the inevitable component tolerances (±5%), our experiments have so far confirmed our theoretical predictions only for an array of slightly different oscillators.


2001 ◽  
Vol 01 (03) ◽  
pp. 377-388 ◽  
Author(s):  
PAUL BRACKEN ◽  
PAWEŁ GÓRA ◽  
ABRAHAM BOYARSKY

Simple one-dimensional chaotic dynamical systems are derived by optimizing energy functionals. The Euler–Lagrange equation yields a nonlinear second-order differential equation whose solution yields a 2–1 map which admits an absolutely continuous invariant measure. The solutions of the differential equation are studied.


1992 ◽  
Vol 02 (03) ◽  
pp. 533-541 ◽  
Author(s):  
BAE-SIG PARK ◽  
CELSO GREBOGI ◽  
YING-CHENG LAI

Basin boundaries in chaotic dynamical systems can be either smooth or fractal. As a system parameter changes, the structure of the basin boundary also changes. In particular, the dimension of the basin boundary changes continuously except when a basin boundary metamorphosis occurs, at which it can change abruptly. We present numerical experiments to demonstrate such sudden dimension changes. We have also used a one-dimensional analytic calculation and a two-dimensional qualitative model to explain such changes.


1994 ◽  
Vol 49 (12) ◽  
pp. 1223-1228
Author(s):  
K. G. Szabó ◽  
T. Tél

Abstract In this contribution we propose a technique to analyse arbitrary invariant subsets of chaotic dynamical systems. For this purpose we introduce the constrained Frobenius-Perron operator. We demonstrate the use of this operator by determining the geometrical multifractal spectrum of invariant chaotic subsets of one-dimensional maps which are either coexisting side by side indepen­dently or are embedded in a larger set close to a crisis configuration.


2011 ◽  
Vol DMTCS Proceedings vol. AO,... (Proceedings) ◽  
Author(s):  
Sergi Elizalde

International audience For a real number $β >1$, we say that a permutation $π$ of length $n$ is allowed (or realized) by the $β$-shift if there is some $x∈[0,1]$ such that the relative order of the sequence $x,f(x),\ldots,f^n-1(x)$, where $f(x)$ is the fractional part of $βx$, is the same as that of the entries of $π$ . Widely studied from such diverse fields as number theory and automata theory, $β$-shifts are prototypical examples of one-dimensional chaotic dynamical systems. When $β$ is an integer, permutations realized by shifts have been recently characterized. In this paper we generalize some of the results to arbitrary $β$-shifts. We describe a method to compute, for any given permutation $π$ , the smallest $β$ such that $π$ is realized by the $β$-shift. Pour un nombre réel $β >1$, on dit qu'une permutation $π$ de longueur $n$ est permise (ou réalisée) par $β$-shift s'il existe $x∈[0,1]$ tel que l'ordre relatif de la séquence $x,f(x),\ldots,f^n-1(x)$, où $f(x)$ est la partie fractionnaire de $βx$, soit le même que celui des entrées de $π$ . Largement étudiés dans des domaines aussi divers que la théorie des nombres et la théorie des automates, les $β$-shifts sont des prototypes de systèmes dynamiques chaotiques unidimensionnels. Quand $β$ est un nombre entier, les permutations réalisées par décalages ont été récemment caractérisées. Dans cet article, nous généralisons certains des résultats au cas de $β$-shifts arbitraires. Nous décrivons une méthode pour calculer, pour toute permutation donnée $π$ , le plus petit $β$ tel que $π$ soit réalisée par $β$-shift.


2001 ◽  
Vol 08 (02) ◽  
pp. 137-146 ◽  
Author(s):  
Janusz Szczepański ◽  
Zbigniew Kotulski

Pseudorandom number generators are used in many areas of contemporary technology such as modern communication systems and engineering applications. In recent years a new approach to secure transmission of information based on the application of the theory of chaotic dynamical systems has been developed. In this paper we present a method of generating pseudorandom numbers applying discrete chaotic dynamical systems. The idea of construction of chaotic pseudorandom number generators (CPRNG) intrinsically exploits the property of extreme sensitivity of trajectories to small changes of initial conditions, since the generated bits are associated with trajectories in an appropriate way. To ensure good statistical properties of the CPRBG (which determine its quality) we assume that the dynamical systems used are also ergodic or preferably mixing. Finally, since chaotic systems often appear in realistic physical situations, we suggest a physical model of CPRNG.


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