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2106.01707

Parametric Geometry of Numbers with General Flow

Omri Nisan Solan

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

Audit review

The paper’s Theorem 2.30 states the d_ϕ–Hausdorff dimension formula dim_H(Y_{Λ,F}; d_ϕ) = sup_{f∈F} Δ(f) = sup_{f∈F} Δ_0(f) for sets of trajectories whose g-templates lie in an equivalence-closed family F, with δ(E_•) defined as in Definition 2.29 and d_ϕ the expansion semimetric for conjugation by g_t. The text proves this via a dimension game (Alice–Bob) framework and a Counting Lemma on horospherical subgroups, after establishing the expansion semimetric and its basic properties (Sections 4.1–4.2), and the g-template machinery (Section 2.6) . The candidate solution gives a covering/Moran construction proof sketch: (i) anisotropic “box” comparability for d_ϕ-balls consistent with Lemma 4.9 and the Comparison Theorem ; (ii) static codimension costs matching δ(E_•) and the measure-scaling of HV_• under ϕ_t from Lemma 7.4 ; (iii) a one-step covering bound with exponent ∫ δ and a reverse step for a Moran set. This reproduces the same variational formula. The model sketch omits some technicalities (e.g., working with d_ϕ^α to ensure a metric, controlling BCH error terms uniformly, and justifying subexponential template-type complexity), but no fundamental contradiction with the paper arises. Thus, the paper’s argument is correct and complete, and the model’s proof is a plausible alternative approach at the level of a detailed sketch.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The manuscript proves an exact variational formula for the Hausdorff dimension (in the expansion semimetric) of sets of trajectories with prescribed template behavior for general diagonal flows, integrating template existence, counting on horospherical subgroups, and a dimension game. The development is comprehensive and appears correct; a few clarifications could improve readability for a broader audience.