Permuton limit of a generalization of the Mallows and $k$-card-minimum models
Joanna Jasińska, Balázs Ráth
TL;DR
The paper develops a unifying framework for random permutation models via the general $PERM(g,n)$ construction, encompassing Mallows and $k$-card-minimum models. It proves a permuton-level law of large numbers: the sequence $\sigma_n$ converges in probability to a deterministic permuton $\mu_g$ with c.d.f. $F_g$ defined through $V_g$, yielding convergence of pattern densities to their permuton counterparts. A universal diagonal-band phenomenon is established: under a high-parameter limit, the mass concentrates near the diagonal and conditional on a horizontal coordinate, the vertical displacement converges to a logistic distribution, linking Mallows and $k$CM through a common limiting behavior. The framework also ensures symmetry properties, including inversion invariance and $F_g$-symmetry, strengthening the structural parallels between these models and validating Travers’ universality conjecture for the band structure.
Abstract
We introduce and study a new random permutation model that generalizes the $k$-card minimum model defined by Travers and the Mallows model. We calculate the permuton limit of such a sequence of random permutations. As a corollary, we deduce the law of large numbers for pattern densities. Moreover, we prove a universality result about the band structure of the limiting permuton, confirming a conjecture of Travers about the $k$-card minimum model. More specifically, we show that if a certain model parameter goes to infinity then the appropriately scaled restriction of the permuton measure to a line that intersects the diagonal perpendicularly converges weakly to the logistic distribution.
