English

Connectivity of 1d random geometric graphs

Combinatorics 2021-05-31 v2 Statistical Mechanics Social and Information Networks Probability Physics and Society

Abstract

A 1d random geometric graph (1d RGG) is built by joining a random sample of nn points from an interval of the real line with probability pp. We count the number of kk-hop paths between two vertices of the graph in the case where the space is the 1d interval [0,1][0,1]. We show how the kk-hop path count between two vertices at Euclidean distance xy|x-y| is in bijection with the volume enclosed by a uniformly random dd-dimensional lattice path joining the corners of a (k1)(k-1)-dimensional hyperrectangular lattice. We are able to provide the probability generating function and distribution of this kk-hop path count as a sum over lattice paths, incorporating the idea of restricted integer partitions with limited number of parts. We therefore demonstrate and describe an important link between spatial random graphs, and lattice path combinatorics, where the dd-dimensional lattice paths correspond to spatial permutations of the geometric points on the line.

Keywords

Cite

@article{arxiv.2105.07731,
  title  = {Connectivity of 1d random geometric graphs},
  author = {Alexander P. Kartun-Giles and Kostas Koufos and Nicolas Privault},
  journal= {arXiv preprint arXiv:2105.07731},
  year   = {2021}
}

Comments

27 pages, 11 figures

R2 v1 2026-06-24T02:10:28.298Z