Concentration Inequalities for Sub-Weibull Random Tensors
Mathematical Finance
2026-03-11 v2 Probability
Abstract
We extend the theory of concentration inequalities to simple random tensors with heavy-tailed coefficients. Specifically, we consider the class of sub-Weibull distributions for . 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.
Cite
@article{arxiv.2509.03439,
title = {Concentration Inequalities for Sub-Weibull Random Tensors},
author = {Yunfan Zhao},
journal= {arXiv preprint arXiv:2509.03439},
year = {2026}
}