Limit theorems for mixed-norm sequence spaces with applications to volume distribution

Fuente: arXiv
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Autori principali: Juhos, Michael, Kabluchko, Zakhar, Prochno, Joscha
Natura: Preprint
Pubblicazione: 2022
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author Juhos, Michael
Kabluchko, Zakhar
Prochno, Joscha
author_facet Juhos, Michael
Kabluchko, Zakhar
Prochno, Joscha
contents Let $p, q \in (0, \infty]$ and $\ell_p^m(\ell_q^n)$ be the mixed-norm sequence space of real matrices $x = (x_{i, j})_{i \leq m, j \leq n}$ endowed with the (quasi-)norm $\Vert x \Vert_{p, q} := \big\Vert \big( \Vert (x_{i, j})_{j \leq n} \Vert_q \big)_{i \leq m} \Vert_p$. We shall prove a Poincaré-Maxwell-Borel lemma for suitably scaled matrices chosen uniformly at random in the $\ell_p^m(\ell_q^n)$ unit balls $\mathbb{B}_{p, q}^{m, n}$, and obtain both central and non-central limit theorems for their $\ell_p(\ell_q)$-norms. We use those limit theorems to study the asymptotic volume distribution in the intersection of two mixed-norm sequence balls. Our approach is based on a new probabilistic representation of the uniform distribution on $\mathbb{B}_{p, q}^{m, n}$.
format Preprint
id arxiv_https___arxiv_org_abs_2209_08937
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Limit theorems for mixed-norm sequence spaces with applications to volume distribution
Juhos, Michael
Kabluchko, Zakhar
Prochno, Joscha
Probability
Functional Analysis
52A23, 60F05 (Primary) 46B06, 60D05 (Secondary)
Let $p, q \in (0, \infty]$ and $\ell_p^m(\ell_q^n)$ be the mixed-norm sequence space of real matrices $x = (x_{i, j})_{i \leq m, j \leq n}$ endowed with the (quasi-)norm $\Vert x \Vert_{p, q} := \big\Vert \big( \Vert (x_{i, j})_{j \leq n} \Vert_q \big)_{i \leq m} \Vert_p$. We shall prove a Poincaré-Maxwell-Borel lemma for suitably scaled matrices chosen uniformly at random in the $\ell_p^m(\ell_q^n)$ unit balls $\mathbb{B}_{p, q}^{m, n}$, and obtain both central and non-central limit theorems for their $\ell_p(\ell_q)$-norms. We use those limit theorems to study the asymptotic volume distribution in the intersection of two mixed-norm sequence balls. Our approach is based on a new probabilistic representation of the uniform distribution on $\mathbb{B}_{p, q}^{m, n}$.
title Limit theorems for mixed-norm sequence spaces with applications to volume distribution
topic Probability
Functional Analysis
52A23, 60F05 (Primary) 46B06, 60D05 (Secondary)
url https://arxiv.org/abs/2209.08937