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2504.17498

Hausdorff dimension of shrinking targets on Przytycki-Urbański fractals

Thomas Jordan, Henna Koivusalo

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

Audit review

The paper states and proves the three-regime dimension formula dim_H R*(z,λ,γ) exactly as in Theorem 2.5, with assumptions matching the regimes (λγ<1/2 with λ∈E, λγ≥1/2 with unique λ-expansion, and almost-every λ in the transversality window with ν_λ-a.e. z) , built on a precise setup of the IFS, the expanding map E, and the coding machinery . The proofs use Shmerkin’s quantitative consequence of exponential separation (Theorem 3.4) , the unique-expansion counting lemma , and transversality/energy arguments for the typical-parameter case (Section 7) . By contrast, the model’s proof hinges on an unsubstantiated “near-disjointness”/bounded-overlap claim for level-n cylinders under exponential separation, which the paper does not assume and which is generally false in overlapping self-similar/affine systems; the paper instead controls multiplicity via measure estimates (e.g., Corollary 3.5) and energy methods (Section 7) . While the model’s final formulas coincide with the paper, key steps (disjointness and necessity of exact tail agreement under E without counting/measure bounds) are unjustified, so the solution is not a correct proof.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The manuscript delivers sharp Hausdorff-dimension formulas for shrinking-target sets on a classical overlapping self-affine attractor, delineating a clean trichotomy that depends on λγ and on symbolic/measure-theoretic properties. It successfully synthesizes modern Bernoulli-convolution methods (exponential separation, transversality) with careful counting and energy arguments. The results are of clear interest within fractal dynamics and geometric measure theory. Some sections are technically dense; modest expository refinements would aid readability.