Pointwise Convergence for Random Ergodic Averages in Non-commutative $L^p$-spaces

Fuente: arXiv
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Main Authors: Merdy, Christian Le, Zadeh, Safoura
Format: Preprint
Published: 2026
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author Merdy, Christian Le
Zadeh, Safoura
author_facet Merdy, Christian Le
Zadeh, Safoura
contents Let $M$ be a semifinite von Neumann algebra and $T$ a positive contraction on both $L^1(M)$ and $L^\infty(M)$. We consider ergodic averages along a random sparse subsequence determined by independent Bernoulli variables $(X_n)_{n\geq 1}$ with $\mathbb{P}(X_n = 1) = n^{-α}$, and set $W_N = \sum_{n=1}^N \mathbb{E}[X_n]$. We prove that, almost surely, the averages $\frac{1}{W_N} \sum_{n=1}^N X_n\, T^n(x)$ converge bilaterally almost uniformly to the ergodic projection for all $1 < p < \infty$. This extends a theorem of Bourgain to the non-commutative setting.
format Preprint
id arxiv_https___arxiv_org_abs_2604_25029
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Pointwise Convergence for Random Ergodic Averages in Non-commutative $L^p$-spaces
Merdy, Christian Le
Zadeh, Safoura
Operator Algebras
Dynamical Systems
Probability
Let $M$ be a semifinite von Neumann algebra and $T$ a positive contraction on both $L^1(M)$ and $L^\infty(M)$. We consider ergodic averages along a random sparse subsequence determined by independent Bernoulli variables $(X_n)_{n\geq 1}$ with $\mathbb{P}(X_n = 1) = n^{-α}$, and set $W_N = \sum_{n=1}^N \mathbb{E}[X_n]$. We prove that, almost surely, the averages $\frac{1}{W_N} \sum_{n=1}^N X_n\, T^n(x)$ converge bilaterally almost uniformly to the ergodic projection for all $1 < p < \infty$. This extends a theorem of Bourgain to the non-commutative setting.
title Pointwise Convergence for Random Ergodic Averages in Non-commutative $L^p$-spaces
topic Operator Algebras
Dynamical Systems
Probability
url https://arxiv.org/abs/2604.25029