Asymptotic representation theory and the spectrum of a random geometric graph on a compact Lie group
Pierre-Lo\"ic M\'eliot

TL;DR
This paper analyzes the asymptotic spectral behavior of random geometric graphs on compact Lie groups, revealing how representation theory explains the transition from Gaussian to Poissonian regimes as the number of vertices grows.
Contribution
It provides a detailed description of the spectral limits of these graphs using representation theory, highlighting the degeneration from Gaussian to Poissonian regimes.
Findings
Largest eigenvalues converge to Bessel function combinations in Gaussian regime
Spectral measure converges in the Poissonian regime via local Benjamini-Schramm convergence
Representation theory tools elucidate the spectral degeneration phenomenon
Abstract
Let be a compact Lie group, and . The random geometric graph on is the random graph whose vertices are random points chosen under the Haar measure of , and whose edges are the pairs with , being the distance associated to the standard Riemannian structure on . In this paper, we describe the asymptotic behavior of the spectrum of the adjacency matrix of , when goes to infinity. If is fixed and (Gaussian regime), then the largest eigenvalues of converge after an appropriate renormalisation towards certain explicit linear combinations of values of Bessel functions. If and (Poissonian regime), then the random geometric graph converges in the local Benjamini-Schramm sense, which…
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