Geometry of the minimal spanning tree in the heavy-tailed regime: new universality classes

Shankar Bhamidi, Sanchayan Sen

Published 2020-09-22Version 1

A major open conjecture on the behavior of optimal paths in random graphs in the strong disorder regime, formulated by statistical physicists, and supported by a large amount of numerical evidence over the last decade [29, 30, 36, 67] is as follows: for a large class of random graph models with degree exponent $\tau\in (3,4)$, the distance between two typical points on the minimal spanning tree (MST) on the giant component in the supercritical regime scales like $n^{(\tau-3)/(\tau-1)}$. In this paper we give the first rigorous proof of this conjecture. We consider a supercritical inhomogeneous random graph model with degree exponent $\tau\in(3, 4)$ that is closely related to Aldous's multiplicative coalescent, and show that the MST constructed by assigning i.i.d. continuous weights to the edges in its giant component, endowed with the tree distance scaled by $n^{-(\tau-3)/(\tau-1)}$, converges in distribution with respect to the Gromov-Hausdorff topology to a random compact real tree. Further, almost surely, every point in this limiting space either has degree one (leaf), or two, or infinity (hub), both the set of leaves and the set of hubs are dense in this space, and the Minkowski dimension of this space equals $(\tau-1)/(\tau-3)$. The multiplicative coalescent, in an asymptotic sense, describes the evolution of the component sizes of various near-critical random graph processes. We expect the limiting spaces in this paper to be the candidates for the scaling limit of the MST constructed for a wide array of other heavy-tailed random graph models.