Quantitative Strong Laws of Large Numbers

Fuente: arXiv
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Autor principal: Neri, Morenikeji
Formato: Preprint
Publicado: 2024
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author Neri, Morenikeji
author_facet Neri, Morenikeji
contents Using proof-theoretic methods in the style of proof mining, we give novel computationally effective limit theorems for the convergence of the Cesaro-means of certain sequences of random variables. These results are intimately related to various Strong Laws of Large Numbers and, in that way, allow for the extraction of quantitative versions of many of these results. In particular, we produce optimal polynomial bounds in the case of pairwise independent random variables with uniformly bounded variance, improving on known results; furthermore, we obtain a new Baum-Katz type result for this class of random variables. Lastly, we are able to provide a fully quantitative version of a recent result of Chen and Sung that encompasses many limit theorems in the Strong Laws of Large Numbers literature.
format Preprint
id arxiv_https___arxiv_org_abs_2406_19166
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantitative Strong Laws of Large Numbers
Neri, Morenikeji
Probability
60F10, 60F15 (Primary) 03F99 (Secondary)
Using proof-theoretic methods in the style of proof mining, we give novel computationally effective limit theorems for the convergence of the Cesaro-means of certain sequences of random variables. These results are intimately related to various Strong Laws of Large Numbers and, in that way, allow for the extraction of quantitative versions of many of these results. In particular, we produce optimal polynomial bounds in the case of pairwise independent random variables with uniformly bounded variance, improving on known results; furthermore, we obtain a new Baum-Katz type result for this class of random variables. Lastly, we are able to provide a fully quantitative version of a recent result of Chen and Sung that encompasses many limit theorems in the Strong Laws of Large Numbers literature.
title Quantitative Strong Laws of Large Numbers
topic Probability
60F10, 60F15 (Primary) 03F99 (Secondary)
url https://arxiv.org/abs/2406.19166