2505.15549
POINTWISE CONVERGENCE OF POLYNOMIAL MULTIPLE ERGODIC AVERAGES ALONG THE PRIMES
Renhui Wan
correctmedium confidence
- Category
- Not specified
- Journal tier
- Top Field-Leading
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
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Audit review
The uploaded paper’s Theorem 1.1 states exactly the two claims: (i) pointwise a.e. convergence of the von Mangoldt–weighted multilinear polynomial ergodic averages with distinct degrees, and (ii) a lacunary r-variational L^q bound for every r>2 and 0<q<∞, along a λ-lacunary set D, matching the candidate’s assertions word-for-word . The paper reduces to the integer shift system via Calderón transference (Theorems 1.2–1.3) and proves the variational bound by a circle-method major/minor arc decomposition, minor-arc control through a generalized von Neumann theorem for prime-type (Cramér/Heath–Brown) approximants, and major-arc analysis using an Ionescu–Wainger-type discrete-to-continuous transference together with a multilinear Rademacher–Menshov inequality—precisely the strategy summarized by the model . The paper explicitly notes that (ii) implies (i), consistent with the model’s final step from lacunary variation to full pointwise convergence .
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} top field-leading \textbf{Justification:} The paper proves a long-sought pointwise convergence result for multilinear polynomial ergodic averages along the primes, together with sharp lacunary variational bounds. The methods combine deep harmonic analysis with modern additive combinatorics and arithmetic transference. The structure is sound and the argument is compelling. Minor clarifications (especially in the implication of (ii) ⇒ (i) and in tracking parameters) would further aid readers navigating the technicalities.