The scaling limits of uniform connected graphs with fixed surplus and of random unicellular maps are built from tilted Brownian trees by identifying points at common heights sampled via local time.
Stable graphs: distributions and line-breaking construction
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abstract
For $\alpha \in (1,2]$, the $\alpha$-stable graph arises as the universal scaling limit of critical random graphs with i.i.d. degrees having a given $\alpha$-dependent power-law tail behavior. It consists of a sequence of compact measured metric spaces (the limiting connected components), each of which is tree-like, in the sense that it consists of an $\mathbb R$-tree with finitely many vertex-identifications (which create cycles). Indeed, given their masses and numbers of vertex-identifications, these components are independent and may be constructed from a spanning $\mathbb R$-tree, which is a biased version of the $\alpha$-stable tree, with a certain number of leaves glued along their paths to the root. In this paper we investigate the geometric properties of such a component with given mass and number of vertex-identifications. We (1) obtain the distribution of its kernel and more generally of its discrete finite-dimensional marginals; we will observe that these distributions are related to the distributions of some configuration models (2) determine the distribution of the $\alpha$-stable graph as a collection of $\alpha$-stable trees glued onto its kernel and (3) present a line-breaking construction, in the same spirit as Aldous' line-breaking construction of the Brownian continuum random tree.
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2019 1verdicts
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On breadth-first constructions of scaling limits of random graphs and random unicellular maps
The scaling limits of uniform connected graphs with fixed surplus and of random unicellular maps are built from tilted Brownian trees by identifying points at common heights sampled via local time.