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Comment: Published at http://dx.doi.org/10.1214/009117906000000449 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
In this paper we consider the one-dimensional weakly asymmetric simple exclusion process under the invariant state $\nu_{\rho}$: the Bernoulli product measure of parameter $\rho\in{(0,1)}$. We show that the limit density field is governed by an Ornstein-Uhlenbeck process for strength asymmetry $n^{2-\gamma}$ if $\gamma\in(1/2,1)$, while for $\gamma=1/2$ it is an energy solution of the KPZ equation. From this result we obtain that the fluctuations of the current of particles are Gaussian distributed for $\gamma\in(1/2,1)$, while for $\gamma=1/2$ the limit distribution is written in terms of the KPZ equation.
In these notes we use renormalization techniques to derive a second order Boltzmann-Gibbs Principle which allow us to characterize the equilibrium fluctuations of weakly asymmetric exclusion processes as within the KPZ universality class.
In this paper we consider an additive functional of an observable $V(x)$ of a Markov jump process. We assume that the law of the expected jump time $t(x)$ under the invariant probability measure $\pi$ of the skeleton chain belongs to the domain of attraction of a subordinator. Then, the scaled limit of the functional is a Mittag-Leffler proces, provided that $\Psi(x):=V(x)t(x)$ is square integrable w.r.t. $\pi$. When the law of $\Psi(x)$ belongs to a domain of attraction of a stable law the resulting process can be described by a composition of a stable process and the inverse of a subordinator and these processes are not necessarily independent. On the other hand when the singularities of $\Psi(x)$ and $t(x)$ do not overlap with large probability the law of the resulting process has some scaling invariance property. We provide an ap...
Comment: Published by Annales Henri Poincare Volume 13, Number 4 (2012), 813-826
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