A random chaotic interval map with noise which causes coarse-graining induces a finite-state Markov chain. For a map topologically conjugate to a piecewise-linear map with the Lebesgue measure being ergodic, we prove that the Shannon entropy for the induced Markov chain possesses a finite limit as the noise level tends to zero. In most cases, the limit turns out to be strictly greater than the Lyapunov exponent of the original map without noise
We show how to construct a topological Markov map of the interval whose invariant probability measur...
A chaotic-map random number generator (RNG) is defined using a chaotic map and a bit-generation func...
Abstract. Our aim is to establish the topological conjugacy between piecewise monotone expansive int...
In this work, referring to some major results achieved in Ergodic Theory, we discuss a theoretical a...
. By a result of F. Hofbauer [11], piecewise monotonic maps of the interval can be identified with ...
For non-invertible maps, subshifts that are mainly of finite type and piecewise monotone interval ma...
Chaotic maps represent an effective method for generating random-like sequences, that combines the b...
We study the large time fluctuations of entropy production in Markov processes. In particular, we co...
We give a survey of the entropy theory of interval maps as it can be analyzed using ergodic theory, ...
We apply a generalized version of the Kolmogorov-Sinai entropy, based on a non-extensive form, to an...
We study the large time fluctuations of entropy production in Markov processes. In particular, we co...
We consider zero-noise limits of random perturbations of dynamical systems and examine, in terms of ...
summary:A continuous map $f$ of the interval is chaotic iff there is an increasing sequence of nonne...
First, we study countably piecewise continuous, piecewise monotone interval maps. We establish a nec...
In this paper we study ergodic theory of countable Markov shifts. These are dynamical systems define...
We show how to construct a topological Markov map of the interval whose invariant probability measur...
A chaotic-map random number generator (RNG) is defined using a chaotic map and a bit-generation func...
Abstract. Our aim is to establish the topological conjugacy between piecewise monotone expansive int...
In this work, referring to some major results achieved in Ergodic Theory, we discuss a theoretical a...
. By a result of F. Hofbauer [11], piecewise monotonic maps of the interval can be identified with ...
For non-invertible maps, subshifts that are mainly of finite type and piecewise monotone interval ma...
Chaotic maps represent an effective method for generating random-like sequences, that combines the b...
We study the large time fluctuations of entropy production in Markov processes. In particular, we co...
We give a survey of the entropy theory of interval maps as it can be analyzed using ergodic theory, ...
We apply a generalized version of the Kolmogorov-Sinai entropy, based on a non-extensive form, to an...
We study the large time fluctuations of entropy production in Markov processes. In particular, we co...
We consider zero-noise limits of random perturbations of dynamical systems and examine, in terms of ...
summary:A continuous map $f$ of the interval is chaotic iff there is an increasing sequence of nonne...
First, we study countably piecewise continuous, piecewise monotone interval maps. We establish a nec...
In this paper we study ergodic theory of countable Markov shifts. These are dynamical systems define...
We show how to construct a topological Markov map of the interval whose invariant probability measur...
A chaotic-map random number generator (RNG) is defined using a chaotic map and a bit-generation func...
Abstract. Our aim is to establish the topological conjugacy between piecewise monotone expansive int...