Back to search
2210.14059

IFS measures on generalized Bratteli diagrams

Sergey Bezuglyi, Palle E. T. Jorgensen

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

Audit review

The paper’s Theorem 3.4 establishes exactly the equivalence the model proves: a Borel probability measure ν on the path space XB satisfies the IFS identity ν = ∑e pe(ν ∘ τe−1) if and only if the vertex-probability vector q with entries qv = ν([v]) solves Pq = q, where P has entries ps(e),r(e) (edges identified with ordered pairs) . The paper constructs ν on cylinders via ν([f0,…,fn−1]) = pf0⋯pfn−1 qr(fn−1), checks Kolmogorov consistency, extends to Borel sets, and verifies the IFS identity on cylinders (hence on the σ-algebra) . The model’s solution follows the same structure (cylinders → Kolmogorov extension → equality on cylinders → π–λ), with slightly stronger assumptions (it explicitly requires pe>0 for all e and emphasizes full support). Notationally and logically, the two arguments coincide in substance and scope.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The theorem audited is correct and the proof is straightforward but well executed. It situates IFS measures within the Bratteli path-space framework, complementing prior classes (tail-invariant, Markov). Minor clarifications on support and zero weights would improve readability without affecting correctness.