2504.18307
Ergodic Theorems for Bilinear Averages, Roth’s Theorem and Corners Along Fractional Powers
Leonidas Daskalakis
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 the L2-equality of bilinear averages along ⌊h(n)⌋ and along n for c ∈ [1,23/22) via a quantitative change-of-variables method and U3-Gowers norm bounds on a carefully constructed error kernel. The candidate solution’s key step—reducing the bilinear averages to a direct integral of linear averages via the spectral theorem for S—is not mathematically valid: the projection-valued spectral integral cannot be applied to a vector-valued integrand (ζ ↦ (1/N)∑(ζU_T)^{a_n}f) that does not commute with the spectral measure of U_S, so the proposed representation of the bilinear average is unfounded. Even granting the (largely standard) exponential-sum decay used for a Blum–Hanson condition, it only controls linear averages for a single unitary and does not by itself justify equality for bilinear products. The paper’s proof and range are sound; the model’s proof is unsupported at its core reduction step.
Referee report (LaTeX)
\textbf{Recommendation:} no revision \textbf{Journal Tier:} strong field \textbf{Justification:} The manuscript develops a robust, quantitative framework that converts sparse-orbit bilinear averages into uniform ones via a change-of-variables and carefully controlled error kernels. The approach is well-executed and yields multiple contributions (ergodic and combinatorial), with clean statements and transparent dependence on parameters. The \$c<23/22\$ range is explained by explicit exponent arithmetic. I find the work correct and clearly presented; it is a strong addition to the literature on multiple ergodic averages along sparse sets.