Random complex zeroes, I. Asymptotic normality
Mikhail Sodin, Boris Tsirelson

TL;DR
This paper proves that smooth functionals of zeroes in three models of Gaussian random analytic functions exhibit asymptotic normality, enhancing understanding of their statistical behavior.
Contribution
It establishes asymptotic normality for linear statistics of zeroes across elliptic, flat, and hyperbolic Gaussian models, a novel unification.
Findings
Asymptotic normality proven for all three models
Applicable to smooth linear functionals of zeroes
Advances understanding of zero distribution statistics
Abstract
We consider three models (elliptic, flat and hyperbolic) of Gaussian random analytic functions distinguished by invariance of their zeroes distribution. Asymptotic normality is proven for smooth functionals (linear statistics) of the set of zeroes.
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Taxonomy
TopicsGeometry and complex manifolds · Stochastic processes and statistical mechanics · Mathematical Dynamics and Fractals
