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2210.02233

Generation of measures by statistics of rotations along sets of integers

E. Lesigne, A. Quas, J. Rosenblatt, M. Wierdl

correcthigh confidence
Category
Not specified
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:56 AM

Audit review

The candidate solution proves the two parts of Theorem 10.3—realizing a bounded Radon–Nikodym derivative ρ by a good subset S ⊂ R with MR(S)=1/‖ρ‖∞ and showing absolute continuity of μS,β with an L∞ bound—using a deterministic block-and-threshold (layer–cake) construction and mixed averages A_R(N)[ψ(sα)e(sβ)]. This matches the paper’s statements (Theorem 10.3) and conclusions (MR(S)=1/‖ρ‖∞ and ‖dμS,β/dμR,β‖∞ ≤ 1/‖S‖1,R) exactly . The paper’s proof goes via representation by good weights and a random selection step that requires sublacunarity (Proposition 29.2) , whereas the model’s construction avoids randomness and does not use sublacunarity. The absolute continuity inequality is proved in the paper by a subsequence and comparison argument (eqs. (33.2)–(33.3)) , which coincides with the model’s argument. The only gap in the model’s write-up is a missing justification that, for each fixed β, the limits of the mixed averages with discontinuous cutoffs 1_{A_u}(sα)e(sβ) exist; this follows from continuity on C(T), the boundedness of the linear functionals, and approximation using the total variation measures (which converge to μR,α) chosen so that μR,α(∂A_u)=0 (a standard portmanteau-style argument). With that detail clarified, both are correct, but they use different proof strategies.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The solution reproduces the core theorems while offering a deterministic construction that appears to dispense with sublacunarity. The argument is clean and aligns with the paper’s conclusions, with the notable difference in technique. One technical point—the existence of limits for mixed averages with discontinuous cutoffs—should be explicitly justified using standard complex-measure tools. With that clarification, I assess the work as correct and a meaningful complement to the paper’s approach.