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2203.06033

Multifractal analysis for Markov interval maps with countably many branches

Tom Rush

correctmedium confidence
Category
Not specified
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper states and proves three main results (Theorems 2.1, 2.2, 2.4) giving conditional variational formulas for the Hausdorff dimension of Birkhoff-average level sets in the recurrent part (general case), under strong expansion, and under C0-type hypotheses, respectively. The definitions of Z, Z0, α1, α2, α3, s∞ and α4, and the statements of these theorems match the candidate’s targets exactly. The paper’s proofs hinge on bounded distortion, a careful upper-bound covering via cylinders (using product/Bernoulli constructions and Abramov’s formula on a finite-entropy suspension), approximation of measures by ergodic measures on finite subshifts, and entropy-at-infinity δ∞ to handle escape; see the statements for Theorems 2.1, 2.2 and 2.4 and the proof infrastructure in Sections 5–8 . The candidate’s solution reproduces the same conclusions with a close but not identical route: periodic-loop approximations for Z, measure-dimension h/λ heuristics, a covering argument akin to Katok-type estimates, and a two-scale gluing/covering using δ∞ and L in the C0 case. This is broadly consistent with the paper’s approach and conclusions. One notable overstatement in the candidate write-up is the blanket claim in the C0 setting that the transient set Λ_T has dimension δ∞/L. The paper does not assert this equality in general; instead it proves dim Λ(0) = max{α4(0), dim Λ_T} and interprets the zero-measure contribution in α4(0) as δ∞/L (without identifying dim Λ_T with δ∞/L in full generality) . Aside from this minor overshoot, the candidate’s outline aligns with the paper’s correct results.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The paper generalizes multifractal dimension formulas for Birkhoff averages to expanding interval maps coded by general mixing countable Markov shifts. It carefully handles non-compactness via a suspension to finite-entropy CMS, uses Abramov’s formula and entropy-at-infinity to control escape, and proves sharp variational principles in three regimes. The arguments are convincing and technically up-to-date. Clarifications about the relationship between δ∞/L and dim Λ\_T and a few signposts would further improve readability.