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2409.03066

Geometric Markov Partitions for Pseudo-Anosov Homeomorphisms with Prescribed Combinatorics

Inti Cruz Diaz

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

Audit review

The paper defines adapted Markov partitions (only periodic boundary points are singularities, and each such point is a corner) and proves their existence via compatible adapted graphs; Proposition 6 yields an adapted Markov partition directly, and Construction 1 + Corollary 2 ensure every generalized pseudo‑Anosov admits such partitions, while Theorem 8 provides a corner refinement algorithm that preserves boundary periodic points . The candidate solution reaches the same end by a classical route: build a foliation‑aligned Markov partition (Bowen‑style refinement) and then slide sides along leaves to remove all non‑singular periodic boundary points, leaving only singularities at corners. Results coincide; proofs are substantively different.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The paper delivers an algorithmic, carefully structured construction of geometric Markov partitions for generalized pseudo–Anosov maps, including existence of adapted partitions and a corner refinement that preserves boundary periodic points. These tools enhance both conceptual understanding and practical classification efforts. The main arguments are consistent with established theory and are supported by clear lemmas and propositions. Minor elaborations in a few proofs and small presentation improvements would make the work even more accessible.