Tangled Paths: A Random Graph Model from Mallows Permutations
Jessica Enright, Kitty Meeks, William Pettersson, John Sylvester
TL;DR
The paper studies a random graph model $\mathcal{P}(n,q)$ formed by uniting two $n$-paths, one relabeled by a Mallows permutation with parameter $q$, interpolating between a path ($q\approx 0$) and a random expander ($q\approx 1$). It introduces the $q$-Mallows process to generate Mallows permutations and develops local/flush concentration tools to analyze structural properties. The main contributions include (i) a sharp separator threshold at $q_c=1-\frac{\pi^2}{6\log n}$, (ii) up to log-factor bounds on treewidth and cutwidth for all $q$, and (iii) diameter bounds showing linear growth for fixed $q<1$ and $O(\log n)$ growth near $q=1$, with expander behavior for $q$ very close to 1. These results illuminate how the Mallows parameter governs global–local graph structure and provide a tractable framework bridging path-like and expander regimes, with implications for algorithmic tractability and understanding layered graph models. All statements hold w.h.p. and all mathematical quantities are formalized in terms of $n$ and $q$.
Abstract
We introduce the random graph $\mathcal{P}(n,q)$ which results from taking the union of two paths of length $n\geq 1$, where the vertices of one of the paths have been relabelled according to a Mallows permutation with parameter $0<q(n)\leq 1$. This random graph model, the tangled path, goes through an evolution: if $q$ is close to $0$ the graph bears resemblance to a path, and as $q$ tends to $1$ it becomes an expander. In an effort to understand the evolution of $\mathcal{P}(n,q)$ we determine the treewidth and cutwidth of $\mathcal{P}(n,q)$ up to log factors for all $q$. We also show that the property of having a separator of size one has a sharp threshold. In addition, we prove bounds on the diameter, and vertex isoperimetric number for specific values of $q$.
