English

An ergodic Lebesgue differentiation theorem

Dynamical Systems 2025-06-27 v1

Abstract

We show that if (X,μ,T)(X, \mu, T) is a probability measure-preserving dynamical system, and P\mathscr{P} is a countable partition of (X,μ)(X, \mu), then the limit limn,kE[1kj=0k1fTji=0n1TiP] \lim_{n, k \to \infty} \mathbb{E} \left[ \frac{1}{k} \sum_{j = 0}^{k - 1} f \circ T^j \mid \bigvee_{i = 0}^{n - 1} T^{-i} \mathscr{P} \right] exists almost surely for all fLp(μ),p>1f \in L^p(\mu), p > 1. We prove this as a corollary of a geometric result: that if (X,μ)(X, \mu) is a metric measure space on which the Hardy-Littlewood maximal inequality holds, then the limit limr0,kμ(B(x,r))1B(x,r)1kj=0k1fTjdμ\lim_{r \searrow 0, k \to \infty} \mu(B(x, r))^{-1} \int_{B(x, r)} \frac{1}{k} \sum_{j = 0}^{k - 1} f \circ T^j \mathrm{d} \mu exists almost surely.

Keywords

Cite

@article{arxiv.2506.21421,
  title  = {An ergodic Lebesgue differentiation theorem},
  author = {Aidan Young},
  journal= {arXiv preprint arXiv:2506.21421},
  year   = {2025}
}
R2 v1 2026-07-01T03:34:47.489Z