2010
DOI: 10.1007/s00493-010-2464-8
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On properties of random dissections and triangulations

Abstract: In this work we study properties of random graphs that are drawn uniformly at random from the class consisting of biconnected outerplanar graphs, or equivalently dissections of large convex polygons. We obtain very sharp concentration results for the number of vertices of any given degree, and for the number of induced copies of a given fixed graph. Our method gives similar results for random graphs from the class of triangulations of convex polygons.

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Cited by 35 publications
(64 citation statements)
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References 9 publications
(15 reference statements)
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“…Probabilistic aspects of uniformly distributed random triangulations have been investigated; see, for example, the articles [18,19] which study graphtheoretical properties of uniform triangulations (such as the maximal vertex degree or the number of vertices of degree k). Graph-theoretical properties of uniform dissections of P n have also been studied, extending the previously mentioned results for triangulations (see [3,10]). From a more geometrical point of view, Aldous [1,2] studied the shape of a large uniform triangulation viewed as a random compact subset of the closed unit disk.…”
mentioning
confidence: 58%
See 1 more Smart Citation
“…Probabilistic aspects of uniformly distributed random triangulations have been investigated; see, for example, the articles [18,19] which study graphtheoretical properties of uniform triangulations (such as the maximal vertex degree or the number of vertices of degree k). Graph-theoretical properties of uniform dissections of P n have also been studied, extending the previously mentioned results for triangulations (see [3,10]). From a more geometrical point of view, Aldous [1,2] studied the shape of a large uniform triangulation viewed as a random compact subset of the closed unit disk.…”
mentioning
confidence: 58%
“…Put µ 1 = 0 and µ 0 = 1 − ∞ j=2 µ j so that µ = (µ j ) j≥0 defines a probability measure on N, which satisfies the assumptions of Definition 1.3. Let n ≥ 2 and let Z n be defined as in (3). Then Z n > 0 if, and only if, P µ [λ(τ ) = n] > 0.…”
Section: Random Dissections and Galton-watson Treesmentioning
confidence: 99%
“…By traversing the edges of the root face in clock-wise order, any edge-rooted dissection of a polygon may be decomposed into an ordered sequence of C out -objects. This decomposition was previously established in [BPS10]. In order for the sizes to add up correctly, we require the root vertex to be replaced by a * -vertex that does not contribute to the total number of vertices.…”
Section: Enumeration Constantsmentioning
confidence: 99%
“…One substantial benefit of such a decomposition is that it enables us to develop mechanically algorithms that sample maps from the family in question by using the framework of Boltzmann samplers. Such sampling algorithms are an important ingredient in our proofs, and were used for the first time systematically by Bernasconi, the second author, and Steger in [3] to study properties of random structures. The Boltzmann model was introduced by Duchon, Flajolet, Louchard and Schaeffer in [6].…”
Section: Random Maps In the Boltzmann Modelmentioning
confidence: 99%