Expected Number of Zeros of Random Power Series with Finitely Dependent Gaussian Coefficients

Kohei Noda, Tomoyuki Shirai

Research output: Contribution to journalArticlepeer-review

Abstract

We are concerned with zeros of random power series with coefficients being a stationary, centered, complex Gaussian process. We show that the expected number of zeros in every smooth domain in the disk of convergence is less than that of the hyperbolic Gaussian analytic function with i.i.d. coefficients. When coefficients are finitely dependent, i.e., the spectral density is a trigonometric polynomial, we derive precise asymptotics of the expected number of zeros inside the disk of radius r centered at the origin as r tends to the radius of convergence, in the proof of which we clarify that the negative contribution to the number of zeros stems from the zeros of the spectral density.

Original languageEnglish
JournalJournal of Theoretical Probability
DOIs
Publication statusAccepted/In press - 2022

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

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