Necessary and sufficient conditions for high dimensional Central Limit Theorem under moment conditions

Fuente: arXiv
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Main Authors: Das, Debraj, Lahiri, Soumendra
Format: Preprint
Published: 2025
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author Das, Debraj
Lahiri, Soumendra
author_facet Das, Debraj
Lahiri, Soumendra
contents High dimensional central limit theorems (the CLTs) have been extensively studied in recent years under a variety of sufficient moment conditions connecting the dimension growth rate with the tail decay rate. In this article, we investigate whether the existing moment conditions are also necessary under the independence of the components. We consider four exhaustive classes, viz. when underlying random variables (I) have all polynomial moments, (II) have some polynomial moment of order higher than two, (III) have only second moment but no polynomial moment higher than two exists, and (IV) have infinite second moment, but belong to the domain of attraction of normal distribution. We find the optimal growth rate of the dimension with respect to sample size in the high dimensional CLTs over hyper-rectangles. More precisely, we derive necessary and sufficient moment conditions for the validity of the the CLT over hyper-rectangles in each of the four regimes listed above, showing that the CLT may hold under much weaker conditions compared to those considered in the existing literature.
format Preprint
id arxiv_https___arxiv_org_abs_2512_22312
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Necessary and sufficient conditions for high dimensional Central Limit Theorem under moment conditions
Das, Debraj
Lahiri, Soumendra
Probability
60F05, 60B12
High dimensional central limit theorems (the CLTs) have been extensively studied in recent years under a variety of sufficient moment conditions connecting the dimension growth rate with the tail decay rate. In this article, we investigate whether the existing moment conditions are also necessary under the independence of the components. We consider four exhaustive classes, viz. when underlying random variables (I) have all polynomial moments, (II) have some polynomial moment of order higher than two, (III) have only second moment but no polynomial moment higher than two exists, and (IV) have infinite second moment, but belong to the domain of attraction of normal distribution. We find the optimal growth rate of the dimension with respect to sample size in the high dimensional CLTs over hyper-rectangles. More precisely, we derive necessary and sufficient moment conditions for the validity of the the CLT over hyper-rectangles in each of the four regimes listed above, showing that the CLT may hold under much weaker conditions compared to those considered in the existing literature.
title Necessary and sufficient conditions for high dimensional Central Limit Theorem under moment conditions
topic Probability
60F05, 60B12
url https://arxiv.org/abs/2512.22312