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2410.18554

Tail behaviour of stationary densities for one-dimensional random diffeomorphisms

Jeroen S.W. Lamb, Guillermo Olicón-Méndez, Martin Rasmussen

correctmedium confidence
Category
math.DS
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper proves the two scaling laws precisely as lim_{x→x+} ln φ(x)/ln^2(x+−x) = (k+1)/(2 ln λ) in the hyperbolic case and lim_{x→x+} (x+−x)^{r−1} ln φ(x)/ln(x+−x) = r(k+1)/[α(r−1)] in the nonhyperbolic case (Theorems A and B; see (1.9) and (1.11)) . The candidate solution reaches the same constants under the same structural assumptions but via a different, more heuristic route (Volterra reduction + Laplace method in the hyperbolic case; product-of-window widths along the extremal envelope in the nonhyperbolic case). The paper’s argument is rigorous and complete (transfer-operator formula (2.10), Lemma 3.1 bounds, hitting-time scalings) , while the model’s outline has minor slips (e.g., an incorrect monotonicity-based inequality) and omits some regularity justifications, yet it arrives at the correct leading orders.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The paper establishes universal tail scaling laws for stationary densities of one-dimensional random diffeomorphisms with bounded noise and provides rigorous proofs that differentiate the hyperbolic and nonhyperbolic boundary regimes. The approach via localized transfer-operator bounds, hitting-time scalings, and careful iteration is solid and adaptable. Clarity is high overall, though certain technical steps (e.g., nonhyperbolic hitting-time scaling) could be made more explicit for readability.