Random geometric graphs and the spherical Wishart matrix

Abstract

We consider the random geometric graph on n vertices drawn uniformly from a d--dimensional sphere. We focus on the sparse regime, when the expected degree is constant independent of d and n. We show that, when d is larger than n by logarithmic factors, this graph is comparable to the Erdos--R\'enyi random graph of the same edge density in the inclusion divergence between the graph laws. This divergence functions in certain ways like a relaxation of the total variation distance, but is strong enough to distinguish Erdos--R\'enyi graphs of different densities with a higher resolution than the total variation distance. To do the analysis, we derive some exact statistics of the spherical Wishart matrix, the Gram matrix of n independent uniformly random d--dimensional spherical vectors. In particular we give expressions for the characteristic function of the spherical Wishart matrix which are well--approximated using steepest descent.

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