English

Scaling limits of random planar maps with large faces

Probability 2017-08-23 v2

Abstract

We discuss asymptotics for large random planar maps under the assumption that the distribution of the degree of a typical face is in the domain of attraction of a stable distribution with index α(1,2)\alpha\in(1,2). When the number nn of vertices of the map tends to infinity, the asymptotic behavior of distances from a distinguished vertex is described by a random process called the continuous distance process, which can be constructed from a centered stable process with no negative jumps and index α\alpha. In particular, the profile of distances in the map, rescaled by the factor n1/2αn^{-1/2\alpha}, converges to a random measure defined in terms of the distance process. With the same rescaling of distances, the vertex set viewed as a metric space converges in distribution as nn\to\infty, at least along suitable subsequences, toward a limiting random compact metric space whose Hausdorff dimension is equal to 2α2\alpha.

Keywords

Cite

@article{arxiv.0907.3262,
  title  = {Scaling limits of random planar maps with large faces},
  author = {Jean-François Le Gall and Grégory Miermont},
  journal= {arXiv preprint arXiv:0907.3262},
  year   = {2017}
}

Comments

Published in at http://dx.doi.org/10.1214/10-AOP549 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-21T13:26:34.763Z