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2012.13226

PRESSURE INEQUALITIES FOR GIBBS MEASURES OF COUNTABLE MARKOV SHIFTS

René Rühr

correctmedium confidence
Category
Not specified
Journal tier
Note/Short/Other
Processed
Sep 28, 2025, 12:55 AM

Audit review

The paper states and proves Theorem 1.1: for a topologically mixing countable Markov shift with a Hölder potential and a Gibbs measure m, there exists a constant a>0 such that for any T-invariant µ and f in the Lipschitz space L, |m(f)−µ(f)| ≤ a‖f‖_L (PGS(φ) − P_µ(φ))^{1/2}. The statement appears explicitly and the proof is given via Sarig’s GRPF theory, a spectral-gap estimate for the transfer operator, a telescoping in n of T̂^n f, Pinsker’s inequality, and the identity µ(D_p(q)) = PGS(φ) − P_µ(φ) derived from the information function formula I_m = −[φ + log h − log h∘T − PGS(φ)] (equation (4)), all provided in the text. See the theorem statement and proof components, including the spectral-gap inequality (3), the transfer-operator telescoping, Pinsker-bound step (5), and reduction of µ(D_p(q)) to the pressure gap, in the paper’s Sections 1–2 . By contrast, the candidate solution’s Step 4 makes a crucial, incorrect oscillation bound: it asserts that for the martingale-difference decomposition D_k = E_m[f|ℱ_k] − E_m[f|ℱ_{k+1}], one has ‖D_k‖_∞ ≤ var_{k+1} f. This confuses tail σ-algebras with initial cylinders. For instance, for f depending only on x_0, var_{k+1} f = 0 for all k, yet D_k generally need not vanish (conditioning on deeper tail information can change E_m[f|ℱ_k]), contradicting the claimed bound. The rest of the model’s argument relies on this bound and thus collapses. The paper’s proof avoids this pitfall by controlling fn − m(f) via spectral gap and summability in n, not via var_{k+1} f, and is therefore correct and complete in its stated setting .

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} note/short/other

\textbf{Justification:}

The paper provides a concise, correct extension of an effective pressure inequality from finite-type shifts to countable Markov shifts with Gibbs measures. It leverages standard thermodynamic formalism tools and yields useful corollaries. Minor clarifications on constants, integrability conventions, and references would improve accessibility and polish.