We investigate explicit functions that can produce truly random numbers. We use the analytical properties of the explicit functions to show that a certain class of autonomous dynamical systems can generate random dynamics. This dynamics presents fundamental differences with the known chaotic systems. We present real physical systems that can produce this kind of random time-series. Some applications are discussed
We start by analysing the effect of random perturbations on non-hyperbolic scattering dynamics. We ...
We expand upon the theory of random dynamical systems (RDS) of L. Arnold, developing a theory of ran...
We consider attractors for certain types of random dynamical systems. These are skew-product systems...
We observe that pseudo-random number generators, familiar to all programmers, are derived from deter...
International audienceMotivated by the study of the time evolution of random dynamical systems arisi...
In this work we aim to show how chaos arises in dynamical systems, following the historical discover...
We review the recent notion of a nonautonomous dynamical system (NDS), which has been introduced as ...
24 pagesMotivated by the study of the time evolution of random dynamical systems arising in a vast v...
We define chaotic motion for dynamical systems acting in finite, discrete spaces via the determinist...
The theory of (random) dynamical systems is a framework for the analysis of large time behaviour of ...
The theory of (random) dynamical systems is a framework for the analysis of large time behaviour of...
Various kinematical quantities associated with the statistical properties of dynamical systems are e...
This paper is concerned with attractors of randomly perturbed dynamical systems, called random attra...
Abstract. We study the distribution of maxima (Extreme Value Statistics) for sequences of observable...
International audienceWe study the distribution of maxima (extreme value statistics) for sequences o...
We start by analysing the effect of random perturbations on non-hyperbolic scattering dynamics. We ...
We expand upon the theory of random dynamical systems (RDS) of L. Arnold, developing a theory of ran...
We consider attractors for certain types of random dynamical systems. These are skew-product systems...
We observe that pseudo-random number generators, familiar to all programmers, are derived from deter...
International audienceMotivated by the study of the time evolution of random dynamical systems arisi...
In this work we aim to show how chaos arises in dynamical systems, following the historical discover...
We review the recent notion of a nonautonomous dynamical system (NDS), which has been introduced as ...
24 pagesMotivated by the study of the time evolution of random dynamical systems arising in a vast v...
We define chaotic motion for dynamical systems acting in finite, discrete spaces via the determinist...
The theory of (random) dynamical systems is a framework for the analysis of large time behaviour of ...
The theory of (random) dynamical systems is a framework for the analysis of large time behaviour of...
Various kinematical quantities associated with the statistical properties of dynamical systems are e...
This paper is concerned with attractors of randomly perturbed dynamical systems, called random attra...
Abstract. We study the distribution of maxima (Extreme Value Statistics) for sequences of observable...
International audienceWe study the distribution of maxima (extreme value statistics) for sequences o...
We start by analysing the effect of random perturbations on non-hyperbolic scattering dynamics. We ...
We expand upon the theory of random dynamical systems (RDS) of L. Arnold, developing a theory of ran...
We consider attractors for certain types of random dynamical systems. These are skew-product systems...