Ergodic properties of functionals of Gaussian processes

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Méndez, Vicenç, Hervás, Carlos, Flaquer-Galmés, Rosa
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866911601678876672
author Méndez, Vicenç
Hervás, Carlos
Flaquer-Galmés, Rosa
author_facet Méndez, Vicenç
Hervás, Carlos
Flaquer-Galmés, Rosa
contents We derive the first two moments of generic positive stochastic functionals in terms of the one- and two-time probability density functions of the underlying random walk, and we prove ergodicity of observables in stationary random walks. These general results are applied to the half-occupation time and the occupation time in an interval of a Gaussian random walk, for which we obtain exact analytic expressions for the first two moments. We then extend the analysis to scaled Brownian motion and fractional Brownian motion, computing the ergodicity breaking parameter and establishing a simple scaling form for the probability densities of occupation times. Within the framework of infinite ergodic theory, we further identify universal properties of positive observables. All analytical predictions are fully confirmed by numerical simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2604_15952
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Ergodic properties of functionals of Gaussian processes
Méndez, Vicenç
Hervás, Carlos
Flaquer-Galmés, Rosa
Statistical Mechanics
We derive the first two moments of generic positive stochastic functionals in terms of the one- and two-time probability density functions of the underlying random walk, and we prove ergodicity of observables in stationary random walks. These general results are applied to the half-occupation time and the occupation time in an interval of a Gaussian random walk, for which we obtain exact analytic expressions for the first two moments. We then extend the analysis to scaled Brownian motion and fractional Brownian motion, computing the ergodicity breaking parameter and establishing a simple scaling form for the probability densities of occupation times. Within the framework of infinite ergodic theory, we further identify universal properties of positive observables. All analytical predictions are fully confirmed by numerical simulations.
title Ergodic properties of functionals of Gaussian processes
topic Statistical Mechanics
url https://arxiv.org/abs/2604.15952