2410.09769
Ergodic Averages Along Sequences of Slow Growth
Kaitlyn Loyd, Sovanlal Mondal
correcthigh confidence
- Category
- Not specified
- Journal tier
- Strong Field
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper proves a.e. convergence in L1 for the double-logarithmic averages along Ω(n) by regrouping into k-almost-prime weights ηN(k), controlling their support via Hardy–Ramanujan, establishing an L1 maximal inequality (via transference), and a lacunary tail estimate, thereby delivering Theorem 1.2 rigorously . The candidate solution’s spectral/Dirichlet-series argument correctly yields L2 convergence (multipliers KN(e^{iθ}) → 0 off θ=0), but the final upgrade to µ-a.e. convergence for all f∈L1 via a “Banach principle” is not justified as stated: L2 convergence alone on a dense class does not imply a.e. convergence for all L1 without an appropriate maximal inequality or a valid pointwise convergence principle. The paper’s proof explicitly provides this missing ingredient; the model’s does not.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} strong field \textbf{Justification:} The work pinpoints the exact weakening of averaging needed for Ω(n) to satisfy a pointwise ergodic theorem, and shows sharpness by retaining strong sweeping out for logarithmic averages. The blend of number-theoretic distributional input and ergodic-theoretic machinery is convincing. Minor editorial improvements could further enhance readability and positioning.