Scaling Limits for Random Quadrangulations of Positive Genus

Jérémie Bettinelli (1)

1 Probabilités et statistiques

We discuss scaling limits of large bipartite quadrangulations of positive genus. For a given $g$, we consider, for every $n \ge 1$, a random quadrangulation $\q_n$ uniformly distributed over the set of all rooted bipartite quadrangulations of genus $g$ with $n$ faces. We view it as a metric space by endowing its set of vertices with the graph distance. We show that, as $n$ tends to infinity, this metric space, with distances rescaled by the factor $n^{-1/4}$, converges in distribution, at least along some subsequence, toward a limiting random metric space. This convergence holds in the sense of the Gromov-Hausdorff topology on compact metric spaces. We show that, regardless of the choice of the subsequence, the Hausdorff dimension of the limiting space is almost surely equal to $4$. Our main tool is a bijection introduced by Chapuy, Marcus, and Schaeffer between the quadrangulations we consider and objects they call well-labeled $g$-trees. An important part of our study consists in determining the scaling limits of the latter.

Mots clés: random map; random tree; conditioned process; Gromov topology

Domaines: Probabilités [math.PR]

Jérémie Bettinelli. Scaling Limits for Random Quadrangulations of Positive Genus. Electronic Journal of Probability, 2010, 15 (52), pp.1594--1644. ⟨10.1214/EJP.v15-810⟩. ⟨hal-00457635v3⟩