Spectral gaps of random graphs and applications
Abstract
We study the spectral gap of the Erdos--R\'enyi random graph through the connectivity threshold. In particular, we show that for any fixed δ > 0 if p (1/2 + δ) nn, then the normalized graph Laplacian of an Erdos--R\'enyi graph has all of its nonzero eigenvalues tightly concentrated around 1. We estimate both the decay rate of the spectral gap to 1 and the failure probability, up to a constant factor. We also show that the 1/2 in the above is optimal, and that if p = c nn for c < 1/2, then there are eigenvalues of the Laplacian restricted to the giant component that are separated from 1. We then describe several applications of our spectral gap results to stochastic topology and geometric group theory. These all depend on Garland's "p-adic curvature" method, a kind of spectral geometry for simplicial complexes. These can all be considered to be high-dimensional expander properties.
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