Modern Stochastics: Theory and Applications (Mar 2021)

Chaos expansion of uniformly distributed random variables and application to number theory

  • Ciprian Tudor

DOI
https://doi.org/10.15559/21-VMSTA172
Journal volume & issue
Vol. 8, no. 2
pp. 275 – 289

Abstract

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The chaos expansion of a random variable with uniform distribution is given. This decomposition is applied to analyze the behavior of each chaos component of the random variable $\log \zeta $ on the so-called critical line, where ζ is the Riemann zeta function. This analysis gives a better understanding of a famous theorem by Selberg.

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