Random polynomials: the closest roots to the unit circle
Abstract: Let $f = \sum_{k=0}n \varepsilon_k zk$ be a random polynomial, where $\varepsilon_0,\ldots ,\varepsilon_n$ are iid standard Gaussian random variables, and let $\zeta_1,\ldots,\zeta_n$ denote the roots of $f$. We show that the point process determined by the magnitude of the roots ${ 1-|\zeta_1|,\ldots, 1-|\zeta_n| }$ tends to a Poisson point process at the scale $n{-2}$ as $n\rightarrow \infty$. One consequence of this result is that it determines the magnitude of the closest root to the unit circle. In particular, we show that [ \min_{k} ||\zeta_k| - 1|n2 \rightarrow \mathrm{Exp}(1/6),] in distribution, where $\mathrm{Exp}(\lambda)$ denotes an exponential random variable of mean $\lambda{-1}$. This resolves a conjecture of Shepp and Vanderbei from 1995 that was later studied by Konyagin and Schlag.
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