Largest nearest-neighbour link and connectivity threshold in a polytopal random sample

Mathew Penrose, Xiaochuan Yang, Frankie Higgs

Research output: Contribution to journalArticlepeer-review

1 Citation (SciVal)

Abstract

Let X 1, X 2, … be independent identically distributed random points in a convex polytopal domain A⊂ R d . Define the largest nearest-neighbour link L n to be the smallest r such that every point of X n: = { X 1, … , X n} has another such point within distance r. We obtain a strong law of large numbers for L n in the large-n limit. A related threshold, the connectivity threshold M n , is the smallest r such that the random geometric graph G(X n, r) is connected (so L n≤ M n). We show that as n→ ∞ , almost surely nLnd/logn tends to a limit that depends on the geometry of A, and nMnd/logn tends to the same limit. We derive these results via asymptotic lower bounds for L n and upper bounds for M n that are applicable in a larger class of metric spaces satisfying certain regularity conditions.

Original languageEnglish
JournalJournal of Applied and Computational Topology
Early online date16 Dec 2023
DOIs
Publication statusPublished - 16 Dec 2023

Data Availability Statement

The code used to generate Fig. 2, as well as the seeds used for the samples shown, is available at https://github.com/frankiehiggs/connectivity-in-polytopes.

Funding

This research was funded, in part, by EPSRC Grant EP/T028653/1. A CC BY or equivalent licence is applied to the AAM arising from this submission, in accordance with the grant’s open access conditions.

FundersFunder number
Engineering and Physical Sciences Research CouncilEP/T028653/1

Keywords

  • Random geometric graph
  • Stochastic geometry
  • Connectivity
  • Isolated points

ASJC Scopus subject areas

  • General Mathematics

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