English

On the Spectrum of Dense Random Geometric Graphs

Probability 2020-04-13 v1

Abstract

In this paper we study the spectrum of the random geometric graph G(n,r)G(n,r), in a regime where the graph is dense and highly connected. In the \erdren G(n,p)G(n,p) random graph it is well known that upon connectivity the spectrum of the normalized graph Laplacian is concentrated around 11. We show that such concentration does not occur in the G(n,r)G(n,r) case, even when the graph is dense and almost a complete graph. In particular, we show that the limiting spectral gap is strictly smaller than 11. In the special case where the vertices are distributed uniformly in the unit cube and r=1r=1, we show that for every 0kd0\le k \le d there are at least (dk)\binom{d}{k} eigenvalues near 12k1-2^{-k}, and the limiting spectral gap is exactly 1/21/2. We also show that the corresponding eigenfunctions in this case are tightly related to the geometric configuration of the points.

Keywords

Cite

@article{arxiv.2004.04967,
  title  = {On the Spectrum of Dense Random Geometric Graphs},
  author = {Kartick Adhikari and Robert J. Adler and Omer Bobrowski and Ron Rosenthal},
  journal= {arXiv preprint arXiv:2004.04967},
  year   = {2020}
}

Comments

32 pages, 2 figures

R2 v1 2026-06-23T14:46:42.776Z