The Annals of Probability · 2017 · 54 citations · 29 references
Natural SciencesMathematicsGeometryProbability TheoryStochastic ProcessesBrownian MotionMetric GeometryPoint ProcessesGraph Limits Of Random StructuresGromov-hausdorff DistanceLabelsProbabilistic Metric SpacesRandom Graph TheoryTriangulationsUniform Probability Measures
Let $M_{n}$ be a simple triangulation of the sphere $\mathbb{S}^{2}$, drawn uniformly at random from all such triangulations with $n$ vertices. Endow $M_{n}$ with the uniform probability measure on its vertices. After rescaling graph distance by $(3/(4n))^{1/4}$, the resulting random measured metric space converges in distribution, in the Gromov–Hausdorff–Prokhorov sense, to the Brownian map. In proving the preceding fact, we introduce a labelling function for the vertices of $M_{n}$. Under this labelling, distances to a distinguished point are essentially given by vertex labels, with an error given by the winding number of an associated closed loop in the map. We establish similar results for simple quadrangulations.
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Liouville quantum gravity and KPZ
Bertrand Duplantier, Scott Sheffield⋆ · Inventiones mathematicae · 2010 · 469 citations
Jean-François Le Gall · Probability Surveys · 2005 · 354 citations · Full text
Planar graphs and poset dimension
Walter Schnyder · Order · 1989 · 269 citations