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The scaling limit of the minimum spanning tree of the complete graph

Abstract : Consider the minimum spanning tree (MST) of the complete graph with n vertices, when edges are assigned independent random weights. Endow this tree with the graph distance renormalized by n^{1/3} and with the uniform measure on its vertices. We show that the resulting space converges in distribution, as n tends to infinity, to a random measured metric space in the Gromov-Hausdorff-Prokhorov topology. We additionally show that the limit is a random binary R-tree and has Minkowski dimension 3 almost surely. In particular, its law is mutually singular with that of the Brownian continuum random tree or any rescaled version thereof. Our approach relies on a coupling between the MST problem and the Erdös-Rényi random graph. We exploit the explicit description of the scaling limit of the Erdös-Rényi random graph in the so-called critical window, established by the first three authors in an earlier paper, and provide a similar description of the scaling limit for a "critical minimum spanning forest" contained within the MST.
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Submitted on : Sunday, January 13, 2013 - 3:59:04 PM
Last modification on : Wednesday, August 12, 2020 - 10:32:39 AM

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Louigi Addario-Berry, Nicolas Broutin, Christina Goldschmidt, Grégory Miermont. The scaling limit of the minimum spanning tree of the complete graph. Annals of Probability, Institute of Mathematical Statistics, 2017, 45 (5), pp.3075--3144. ⟨10.1214/16-AOP1132⟩. ⟨hal-00773360⟩



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