Near-critical Ornstein--Zernike theory for the planar random-cluster model
Lucas D'Alimonte, Ioan Manolescu
TL;DR
This work develops a near-critical Ornstein--Zernike theory for the two-dimensional FK/random-cluster model with $1\le q<4$, producing a uniform asymptotic for the two-point function in the subcritical regime that blends subcritical decay with near-critical prefactors. The core strategy is a dynamical, correlation-length-scale exploration of the cluster in a fixed direction, reformulated as a killed Markov renewal process whose mass-gap and renewal structure yield OZ-type formulas, strict convexity of the inverse correlation length, and invariance principles. Key contributions include a uniform OZ formula $\phi_p[0\leftrightarrow \lfloor n\vec v\rfloor] \asymp \pi_1(\xi_p(\vec v))^2 \sqrt{\xi_p(\vec v) n} e^{-n\xi_p(\vec v)}$, along with corollaries on the pure-exponential survival, endpoint concentration, and strict Wulff-shape convexity, all established at the correlation-length scale. The approach departs from skeleton/diamond decompositions, employing a direct, cone-mominated exploration that yields a robust, flexible framework for near-critical OZ analysis in two dimensions.
Abstract
We develop an Ornstein--Zernike theory for the two-dimensional random-cluster model with $1 \leq q <4$ that also applies in its near-critical regime. In particular, we prove an asymptotic formula for the two-point function which holds uniformly for~$p < p_c$ and blends the subcritical and near-critical behaviours of the model. The analysis is carried out by studying the renewal properties of a subcritical percolation cluster, \emph{at the scale of the correlation length}. More precisely, we explore sequentially the cluster in a given direction, by slices of thickness comparable to the correlation length. We show that this exploration satisfies the properties of a {\em killed Markov renewal process} -- a class of processes that may be analysed independently and have Brownian behaviour. In addition to the two-point function estimate, we derive other consequences of the Ornstein--Zernike theory such as an invariance principle for the rescaled cluster and the strict convexity of the inverse correlation length -- all at the scale of the correlation length, uniformly in~$p<p_c$. Finally, our approach differs from that of earlier papers of Campanino, Ioffe, Velenik and others, with the cluster being dynamically explored rather than constructed from its diamond decomposition.
