English

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 Sα\mathcal{S}_\alpha for α[1,2]\alpha \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.

Cite

@article{arxiv.2509.03439,
  title  = {Concentration Inequalities for Sub-Weibull Random Tensors},
  author = {Yunfan Zhao},
  journal= {arXiv preprint arXiv:2509.03439},
  year   = {2026}
}
R2 v1 2026-07-01T05:19:30.524Z