The Mallows model on is a probability distribution on permutations, , where is the distance between and the identity element, relative to the Coxeter generators. Equivalently, it is the number of inversions: pairs where , but . Analyzing the normalization , Diaconis and Ram calculated the mean and variance of in the Mallows model, which suggests the appropriate $n \to \inftyq_n1-\beta/n$. We calculate the distribution of the empirical measure in this limit, $u(x,y) dx dy = \lim_{n \to \infty} \frac{1}{n} \sum_{i=1}^{n} \delta_{(i,\pi_i)}$. Treating it as a mean-field problem, analogous to the Curie-Weiss model, the self-consistent mean-field equations are $\frac{\partial^2}{\partial x \partial y} \ln u(x,y) = 2 \beta u(x,y)$, which is an integrable PDE, known as the hyperbolic Liouville equation. The explicit solution also gives a new proof of formulas for the blocking measures in the weakly asymmetric exclusion process, and the ground state of the -symmetric XXZ ferromagnet.

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