Thermodynamic Limit for the Mallows Model on $S_n$
Shannon Starr

TL;DR
This paper analyzes the asymptotic behavior of the Mallows model on permutations, deriving a PDE for the limiting empirical measure and connecting it to models in statistical mechanics.
Contribution
It introduces a mean-field limit for the Mallows model, deriving a hyperbolic Liouville PDE and linking it to known models in physics.
Findings
Derived the limit distribution of the empirical measure as n approaches infinity.
Established a PDE (hyperbolic Liouville equation) governing the limit.
Provided new proofs for blocking measures and ground states in related models.
Abstract
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 limit has scaling as . We calculate the distribution of the empirical measure in this limit, . Treating it as a mean-field problem, analogous to the Curie-Weiss model, the self-consistent mean-field equations are , which is an integrable PDE, known…
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