We study the distribution of residence time or equivalently that of "mean magnetization" for a family of Gaussian Markov processes indexed by a positive parameter α. The persistence exponent for these processes is simply given by θ=α but the residence time distribution is nontrivial. The shape of this distribution undergoes a qualitative change as θ increases, indicating a sharp change in the ergodic properties of the process. We develop two alternate methods to calculate exactly but recursively the moments of the distribution for arbitrary α. For some special values of α, we obtain closed form expressions of the distribution function
AbstractOur primary aim is to “build” versions of generalised Gaussian processes from simple, elemen...
Finding the probability that a stochastic system stays in a certain region of its state space over a...
We consider the statistics of occupation times, the number of visits at the origin, and the survival...
Restricted Access. An open-access version is available at arXiv.org (one of the alternative location...
We study the distribution of residence time or equivalently that of "mean magnetization" for a famil...
latex, 31 pagesWe revisit the work of Dhar and Majumdar [Phys. Rev. E 59, 6413 (1999)] on the limiti...
We propose a systematic method to derive the asymptotic behaviour of the persistence distribution, f...
International audienceIn this paper we consider the persistence properties of random processes in Br...
The aim of this thesis is the evaluation of the first-passage time (FPT) of a non-markovian walker o...
We study the persistence probability for some discrete-time, time-reversible processes. In particula...
This article describes an accurate procedure for computing the mean first passage times of a finite ...
We establish an exact formula relating the survival probability for certain Lévy flights (viz. asymm...
AbstractTo every Markov process with a symmetric transition density, there correspond two random fie...
Lower bounds for persistence probabilities of stationary Gaussian processes in discrete time are obt...
Persistence, defined as the probability that a fluctuating signal has not reached a threshold up to ...
AbstractOur primary aim is to “build” versions of generalised Gaussian processes from simple, elemen...
Finding the probability that a stochastic system stays in a certain region of its state space over a...
We consider the statistics of occupation times, the number of visits at the origin, and the survival...
Restricted Access. An open-access version is available at arXiv.org (one of the alternative location...
We study the distribution of residence time or equivalently that of "mean magnetization" for a famil...
latex, 31 pagesWe revisit the work of Dhar and Majumdar [Phys. Rev. E 59, 6413 (1999)] on the limiti...
We propose a systematic method to derive the asymptotic behaviour of the persistence distribution, f...
International audienceIn this paper we consider the persistence properties of random processes in Br...
The aim of this thesis is the evaluation of the first-passage time (FPT) of a non-markovian walker o...
We study the persistence probability for some discrete-time, time-reversible processes. In particula...
This article describes an accurate procedure for computing the mean first passage times of a finite ...
We establish an exact formula relating the survival probability for certain Lévy flights (viz. asymm...
AbstractTo every Markov process with a symmetric transition density, there correspond two random fie...
Lower bounds for persistence probabilities of stationary Gaussian processes in discrete time are obt...
Persistence, defined as the probability that a fluctuating signal has not reached a threshold up to ...
AbstractOur primary aim is to “build” versions of generalised Gaussian processes from simple, elemen...
Finding the probability that a stochastic system stays in a certain region of its state space over a...
We consider the statistics of occupation times, the number of visits at the origin, and the survival...