SUMMARY Herein we develop a dynamical foundation for fractional Brownian Motion. A clear relation is established between the asymptotic behaviour of the correlation function and diffusion in a dynamical system. Then, assuming that scaling is applicable, we establish a connection between diffusion (either standard or anomalous) and the dynamical indicator known as the Hurst coefficient. We argue on the basis of numerical simulations that although we have been able to prove scaling only for "Gaussian" processes, our conclusions may well apply to a wider class of systems. On the other hand systems exist for which scaling might not hold, so we speculate on the possible consequence on the various relations derived in the paper on such ...
17 pages, 20 figuresWe study fractional Brownian motion of Hurst parameter $H$ with both a linear an...
Abstract. A Brownian time process is a Markov process subordinated to the absolute value of an indep...
This paper is concerned with the stochastic thermodynamics of non-equilibrium Gaussian processes tha...
Herein we develop a dynamical foundation for fractional Brownian motion. A clear relation is establi...
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
This book is devoted to a number of stochastic models that display scale invariance. It primarily fo...
International audienceThe use of diffusion models driven by fractional noise has become popular for ...
Fractional Brownian motions (FBMs) have been observed recently in the measured trajectories of indiv...
We study fast / slow systems driven by a fractional Brownian motion B with Hurst parameter H∈(13,1]....
In this note we consider generalised diffusion equations in which the diffusivity coefficient is not...
Fractional Brownian motion, a Gaussian non-Markovian self-similar process with stationary long-corre...
This work concerns the fractional Brownian motion, in particular, the properties of its trajectories...
Abstract. In this work we introduce correlated random walks on Z. When picking suitably at random th...
50 pages with 28 figures. For a supplemental Mathematica notebook (Ref[76]) see https://www.dropbox....
In this paper we consider a class of nonlinear stochastic partial differential equations (SPDEs) dr...
17 pages, 20 figuresWe study fractional Brownian motion of Hurst parameter $H$ with both a linear an...
Abstract. A Brownian time process is a Markov process subordinated to the absolute value of an indep...
This paper is concerned with the stochastic thermodynamics of non-equilibrium Gaussian processes tha...
Herein we develop a dynamical foundation for fractional Brownian motion. A clear relation is establi...
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
This book is devoted to a number of stochastic models that display scale invariance. It primarily fo...
International audienceThe use of diffusion models driven by fractional noise has become popular for ...
Fractional Brownian motions (FBMs) have been observed recently in the measured trajectories of indiv...
We study fast / slow systems driven by a fractional Brownian motion B with Hurst parameter H∈(13,1]....
In this note we consider generalised diffusion equations in which the diffusivity coefficient is not...
Fractional Brownian motion, a Gaussian non-Markovian self-similar process with stationary long-corre...
This work concerns the fractional Brownian motion, in particular, the properties of its trajectories...
Abstract. In this work we introduce correlated random walks on Z. When picking suitably at random th...
50 pages with 28 figures. For a supplemental Mathematica notebook (Ref[76]) see https://www.dropbox....
In this paper we consider a class of nonlinear stochastic partial differential equations (SPDEs) dr...
17 pages, 20 figuresWe study fractional Brownian motion of Hurst parameter $H$ with both a linear an...
Abstract. A Brownian time process is a Markov process subordinated to the absolute value of an indep...
This paper is concerned with the stochastic thermodynamics of non-equilibrium Gaussian processes tha...