2506.21421
An ergodic Lebesgue differentiation theorem
Aidan Young
correcthigh confidence
- Category
- Not specified
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper proves the two-parameter a.e. convergence lim_{r↓0,k→∞} (1/µ(B(x,r)))∫_{B(x,r)} A_k f dµ = E[f|I](x) for f∈L^p, p>1, on metric Borel probability spaces with the Hardy–Littlewood property, via a dense L∞-set plus a maximal-inequality/Banach-principle argument (Lemma 4, Lemma 6, Lemma 7, and the proof of Theorem B) . The candidate solution gives a different, valid proof: it reduces to Birkhoff + Lebesgue differentiation and then builds a uniform-in-(r,k) modulus on a full-measure set using Egorov, Lusin, and HL maximal control. This is compatible with the paper’s assumptions and conclusion (indeed slightly stronger in uniformity on a full-measure set), while the candidate’s remark claiming an L^1 extension contradicts the paper’s open Question 10 (the L^1 case without rate conditions is explicitly left open) .
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} specialist/solid \textbf{Justification:} The result is correct and timely, giving a clean two-parameter ergodic/differentiation theorem under the HL property and illustrating technique by extending to averages along the squares. The arguments are classical but well adapted. Minor clarifications would further improve accessibility and situate the work within related uniformization approaches.