A random pointwise ergodic theorem with Hardy field weights

TL;DR

This paper proves that, with probability one, certain modulated averages involving random increasing sequences and Hardy field weights converge to zero almost everywhere in measure-preserving systems.

Contribution

It establishes a new random pointwise ergodic theorem with Hardy field weights, extending classical results to a probabilistic setting with specific weight functions.

Findings

Almost sure convergence of modulated averages to zero

Applicable to all measure-preserving systems and L^1 functions

Extends ergodic theorems to Hardy field weighted random sequences

Abstract

Let $a_n$ be the random increasing sequence of natural numbers which takes each value independently with probability $n^{-a}$, $0 < a < 1/2$, and let $p(n) = n^{1+\epsilon}$, $0 < \epsilon < 1$. We prove that, almost surely, for every measure-preserving system $(X,T)$ and every $f \in L^1(X)$ the modulated, random averages \[ \frac{1}{N} \sum_{n = 1}^N e(p(n)) T^{a_n(\omega)} f\] converge to $0$ pointwise almost everywhere.