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Autori principali: Leppänen, Juho, Nakajima, Yuto, Nakano, Yushi
Natura: Preprint
Pubblicazione: 2026
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Accesso online:https://arxiv.org/abs/2604.17203
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author Leppänen, Juho
Nakajima, Yuto
Nakano, Yushi
author_facet Leppänen, Juho
Nakajima, Yuto
Nakano, Yushi
contents This paper investigates the statistical properties of random open dynamical systems generated by families of Lasota--Yorke maps. Open systems, in which trajectories may escape through `holes', model transient phenomena and present additional difficulties for statistical analysis because the underlying ensemble loses mass over time. We show that the framework of functional correlation bounds (FCB), originally developed for closed systems, can also be adapted to this random open setting. The extension requires new ingredients based on Lasota--Yorke type inequalities in order to control the effect of escaping trajectories. We establish an FCB with exponential decay and combine it with the abstract normal-approximation results of \cite{LNN25,LS20} to obtain a conditional CLT with rates in Wasserstein distance and a conditional functional CLT with a rate in an integral distance over Barbour's class of smooth test functions. Additionally, we adapt Tikhomirov's method to obtain a bound in Kolmogorov distance for the conditional CLT.
format Preprint
id arxiv_https___arxiv_org_abs_2604_17203
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Functional correlation bound for random Lasota--Yorke maps with holes and its applications to conditional normal approximations
Leppänen, Juho
Nakajima, Yuto
Nakano, Yushi
Dynamical Systems
Probability
This paper investigates the statistical properties of random open dynamical systems generated by families of Lasota--Yorke maps. Open systems, in which trajectories may escape through `holes', model transient phenomena and present additional difficulties for statistical analysis because the underlying ensemble loses mass over time. We show that the framework of functional correlation bounds (FCB), originally developed for closed systems, can also be adapted to this random open setting. The extension requires new ingredients based on Lasota--Yorke type inequalities in order to control the effect of escaping trajectories. We establish an FCB with exponential decay and combine it with the abstract normal-approximation results of \cite{LNN25,LS20} to obtain a conditional CLT with rates in Wasserstein distance and a conditional functional CLT with a rate in an integral distance over Barbour's class of smooth test functions. Additionally, we adapt Tikhomirov's method to obtain a bound in Kolmogorov distance for the conditional CLT.
title Functional correlation bound for random Lasota--Yorke maps with holes and its applications to conditional normal approximations
topic Dynamical Systems
Probability
url https://arxiv.org/abs/2604.17203