2019
DOI: 10.1007/s00222-019-00905-1
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Liouville quantum gravity and the Brownian map I: the $$\mathrm{QLE}(8/3,0)$$ metric

Abstract: Liouville quantum gravity (LQG) and the Brownian map (TBM) are two distinct models of measure-endowed random surfaces. LQG is defined in terms of a real parameter γ, and it has long been believed that when γ = 8/3, the LQG sphere should be equivalent (in some sense) to TBM. However, the LQG sphere comes equipped with a conformal structure, and TBM comes equipped with a metric space structure, and endowing either one with the other's structure has been an open problem for some time.This paper is the first in a … Show more

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Cited by 110 publications
(169 citation statements)
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“…The limiting object here can be understood as a random generalized function which is formally a Gaussian process whose correlation kernel is 12logfalse|zwfalse| for z,w in the unit disk. Such random generalized functions have recently been discovered to be closely related to conformally invariant Schramm‐Loewner evolution‐type random curves as well as the scaling limits of random planar maps — see, for example, .…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…The limiting object here can be understood as a random generalized function which is formally a Gaussian process whose correlation kernel is 12logfalse|zwfalse| for z,w in the unit disk. Such random generalized functions have recently been discovered to be closely related to conformally invariant Schramm‐Loewner evolution‐type random curves as well as the scaling limits of random planar maps — see, for example, .…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Recently, a huge amount of effort has been devoted to understanding the random metric associated with LQG. Building on [30,16], in [31,28,29] the authors constructed in the continuum a random metric which is presumably the scaling limit of the LQG distance for the specific choice γ = 8/3, and proved deep connections with the Brownian map [22,23,27]. Note that in these works there is no mention of a discrete approximation of the metric.…”
Section: Background and Motivationmentioning
confidence: 99%
“…So far, the random planar map approach has met with much success in the special case when c M = 0 (i.e., γ = 8/3), in which case we are dealing with uniform random planar maps. Indeed, it is known that uniform random planar maps converge to 8/3-LQG surfaces both in the Gromov-Hausdorff sense [MS15,MS16a,MS16b,Le 13,Mie13] and under certain embeddings into the plane [HS19]. There are also some weaker convergence results for general c M ∈ (−∞, 1) based on the paper [DMS14]; see [GHS19] for a recent survey.…”
Section: Introduction 1overviewmentioning
confidence: 99%