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Bibliographic Details
Main Author: Abuzaid, Osama
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2505.17976
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author Abuzaid, Osama
author_facet Abuzaid, Osama
contents This paper studies when a sequence of probability measures on a metric space admit subsequential weak limits. A sufficient condition called sequential tightness is formulated, which relaxes some assumptions for asymptotic tightness used in the Prokhorov -- Le Cam theorem. The proof only uses elementary tools from probability theory. Sequential tightness gives means to characterize the precompact collections of random curves on a compact geodesic metric space in terms of an annulus crossing condition, which generalizes the one by Aizenman and Burchard by allowing estimates for annulus crossing probabilities to be non-uniform over the modulus of annuli.
format Preprint
id arxiv_https___arxiv_org_abs_2505_17976
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Precompactness of sequences of random variables and random curves revisited
Abuzaid, Osama
Probability
60B10
This paper studies when a sequence of probability measures on a metric space admit subsequential weak limits. A sufficient condition called sequential tightness is formulated, which relaxes some assumptions for asymptotic tightness used in the Prokhorov -- Le Cam theorem. The proof only uses elementary tools from probability theory. Sequential tightness gives means to characterize the precompact collections of random curves on a compact geodesic metric space in terms of an annulus crossing condition, which generalizes the one by Aizenman and Burchard by allowing estimates for annulus crossing probabilities to be non-uniform over the modulus of annuli.
title Precompactness of sequences of random variables and random curves revisited
topic Probability
60B10
url https://arxiv.org/abs/2505.17976