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  1. Home > Articles & Issues >
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  3. On the diameter of r ...
Conference paper

On the diameter of random planar graphs

Guillaume Chapuy (1), Eric Fusy (2), Omer Gimenez (3), Marc Noy (4)
(1) Department of Mathematics [Burnaby]
(2) Laboratoire d'informatique de l'École polytechnique [Palaiseau]
(3) Departament Llenguatges i Sistemes Informatics,
(4) Departament de Matemàtica Aplicada II
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Imported on
January 31, 2017
Published on
December 31, 2009
Last modified on
March 31, 2025
Volume
DMTCS Proceedings vol. AM, 21st International Meeting on Probabilistic, Combinatorial, and Asymptotic Methods in the Analysis of Algorithms (AofA'10)
Proceedings
DOI
10.46298/dmtcs.2790
License
https://about.hal.science/hal-authorisation-v1
European Commission
208471
Combinatorial methods, from enumerative topology to random discrete structures and compact data representations.
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On the diameter of random planar graphs

Guillaume Chapuy (1), Eric Fusy (2), Omer Gimenez (3), Marc Noy (4)
(1) Department of Mathematics [Burnaby]
(2) Laboratoire d'informatique de l'École polytechnique [Palaiseau]
(3) Departament Llenguatges i Sistemes Informatics,
(4) Departament de Matemàtica Aplicada II
Abstract
We show that the diameter $D(G_n)$ of a random (unembedded) labelled connected planar graph with $n$ vertices is asymptotically almost surely of order $n^{1/4}$, in the sense that there exists a constant $c>0$ such that $P(D(G_n) \in (n^{1/4-\epsilon} ,n^{1/4+\epsilon})) \geq 1-\exp (-n^{c\epsilon})$ for $\epsilon$ small enough and $n$ large enough $(n \geq n_0(\epsilon))$. We prove similar statements for rooted $2$-connected and $3$-connected embedded (maps) and unembedded planar graphs.
Keywords
  • [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
  • [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
  • [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
  • Random graph
  • planar graph
  • diameter
  • bivariate generating functions
  • singularity analysis
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