2014
DOI: 10.1002/rsa.20554
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The CRT is the scaling limit of random dissections

Abstract: We study the graph structure of large random dissections of polygons sampled according to Boltzmann weights, which encompasses the case of uniform dissections or uniform p-angulations. As their number of vertices n goes to infinity, we show that these random graphs, rescaled by n −1/2 , converge in the Gromov-Hausdorff sense towards a multiple of Aldous' Brownian tree when the weights decrease sufficiently fast. The scaling constant depends on the Boltzmann weights in a rather amusing and intriguing way, and i… Show more

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Cited by 37 publications
(49 citation statements)
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“…Since then, the study of scaling limits of random discrete structures such as trees, graphs and planar maps has developed into a very active field with contributions by a wide variety of researchers [CHK15,HM12,Bet15,JS15,PS15].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Since then, the study of scaling limits of random discrete structures such as trees, graphs and planar maps has developed into a very active field with contributions by a wide variety of researchers [CHK15,HM12,Bet15,JS15,PS15].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…The CRT plays a central role in the study of the geometric shape of large discrete structures. It arises as scaling limit for a variety of models [5,[7][8][9]15,18,19,30,36]. Although scaling limits describe asymptotic global properties, they do not contain information on local properties, such as the limiting degree distribution of a randomly chosen vertex in a graph.…”
Section: Figurementioning
confidence: 99%
“…As mentioned in Remark 2.8, we do not know if this is satisfied for all subcritical sequences. However, we believe that [25,Theorem 14] holds under a finite variance assumption, by proving tightness of the sequence of laws and identifying the finite-dimensional marginals.…”
Section: Remark 42mentioning
confidence: 99%