Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Anshelevich, Michael, Nguyen, Anh
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2504.02681
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866908299497046016
author Anshelevich, Michael
Nguyen, Anh
author_facet Anshelevich, Michael
Nguyen, Anh
contents Let $\{A_{i,n}\}$ be a triangular array of elements in a Banach algebra, whose norms do not grow too fast, and whose row averages converge to $A$. Let $σ\in S(n)$ be a permutation drawn uniformly at random. If the array only contains $o(n / \log n)$ distinct elements, then almost surely, for all $0 < s < t < 1$, the permuted product of their exponentials $\prod_{i = [s n]}^{[t n]} e^{A_{σ(i),n}/n}$ converges in norm to $e^{(t - s) A}$. For an array of finite-dimensional matrices, convergence holds without this restriction. The proof of the latter result consists of an estimate valid in a general Banach algebra, and an application of a matrix concentration inequality.
format Preprint
id arxiv_https___arxiv_org_abs_2504_02681
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Convergence of permuted products of exponentials
Anshelevich, Michael
Nguyen, Anh
Functional Analysis
Probability
15A16
Let $\{A_{i,n}\}$ be a triangular array of elements in a Banach algebra, whose norms do not grow too fast, and whose row averages converge to $A$. Let $σ\in S(n)$ be a permutation drawn uniformly at random. If the array only contains $o(n / \log n)$ distinct elements, then almost surely, for all $0 < s < t < 1$, the permuted product of their exponentials $\prod_{i = [s n]}^{[t n]} e^{A_{σ(i),n}/n}$ converges in norm to $e^{(t - s) A}$. For an array of finite-dimensional matrices, convergence holds without this restriction. The proof of the latter result consists of an estimate valid in a general Banach algebra, and an application of a matrix concentration inequality.
title Convergence of permuted products of exponentials
topic Functional Analysis
Probability
15A16
url https://arxiv.org/abs/2504.02681