Concentration Inequalities for Sub-Weibull Random Tensors

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1. Verfasser: Zhao, Yunfan
Format: Preprint
Veröffentlicht: 2025
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author Zhao, Yunfan
author_facet Zhao, Yunfan
contents We extend the theory of concentration inequalities to simple random tensors with heavy-tailed coefficients. Specifically, we consider the class of sub-Weibull distributions $\mathcal{S}_α$ for $α\in [1, 2]$. We establish concentration bounds for Euclidean functions of such tensors, exhibiting a phase transition between sub-gaussian and heavy-tailed regimes. Our results rely on a new Generalized Maximal Inequality for products of heavy-tailed random variables and a martingale analysis using Nagaev-type inequalities.
format Preprint
id arxiv_https___arxiv_org_abs_2509_03439
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Concentration Inequalities for Sub-Weibull Random Tensors
Zhao, Yunfan
Mathematical Finance
Probability
Primary 60E15, Secondary 60F10, 60B20, 15A69
We extend the theory of concentration inequalities to simple random tensors with heavy-tailed coefficients. Specifically, we consider the class of sub-Weibull distributions $\mathcal{S}_α$ for $α\in [1, 2]$. We establish concentration bounds for Euclidean functions of such tensors, exhibiting a phase transition between sub-gaussian and heavy-tailed regimes. Our results rely on a new Generalized Maximal Inequality for products of heavy-tailed random variables and a martingale analysis using Nagaev-type inequalities.
title Concentration Inequalities for Sub-Weibull Random Tensors
topic Mathematical Finance
Probability
Primary 60E15, Secondary 60F10, 60B20, 15A69
url https://arxiv.org/abs/2509.03439