A Tauberian approach to metric scaling limits of random discrete structures, with an application to random planar maps
William Fleurat
TL;DR
The paper develops a Tauberian framework in the GHP space using a Lipschitz-type order to deduce metric scaling limits from component models to host models. It proves sandwich and Tauberian theorems in this setting and applies them to random planar maps, showing that irreducible quadrangulations converge to the Brownian sphere under GHP with appropriate normalizations. The method hinges on condensation to identify a large irreducible core, a topological/measure-theoretic transfer of convergence from core to whole maps, and a Tauberian step that passes from random to deterministic sizes via monotone couplings (face-openings) for an irreducible hexagon. The approach thus yields a robust, modular pathway to derive scaling limits in random maps, with potential applicability to other combinatorial models and their metric scaling limits.
Abstract
We prove sandwich theorems and a Tauberian theorem in the space of compact metric measure spaces, endowed with the Gromov-Hausdorff-Prokhorov (GHP) topology. These results hold with respect to a close relative of Gromov's Lipschitz order. As a proof-of-concept of a general method to prove metric scaling limits of random discrete structures, we give an application to the theory of random planar maps: the Brownian sphere is the scaling limit in the GHP topology of irreducible quandrangulations. Our main inputs are (i) the convergence of general quadrangulations to the Brownian sphere (Le Gall, 2013; Miermont, 2013); and (ii) couplings where irreducible quadrangulations of the hexagon are "grown" by face-openings (Addario-Berry, 2014).
