Generalized Riemann Hypothesis, Time Series and Normal Distributions
Andr\'e LeClair, Giuseppe Mussardo

TL;DR
This paper investigates the analytic continuation of Dirichlet L-functions related to the Generalized Riemann Hypothesis by analyzing the stochastic properties of series involving primes and Dirichlet characters, revealing diffusive behavior that supports extending their domain of convergence.
Contribution
It demonstrates that the series associated with non-principal Dirichlet characters exhibit diffusive random walk behavior, enabling extension of the L-functions' domain of convergence to the critical line.
Findings
Series $B_N$ follow normal distribution laws.
Series $B_N$ behave as diffusive random walks $O( oot{2}{N})$.
Domain of convergence extends to $ ext{Re}(s)=1/2$ without zeros.
Abstract
functions based on Dirichlet characters are natural generalizations of the Riemann function: they both have series representations and satisfy an Euler product representation, i.e. an infinite product taken over prime numbers. In this paper we address the Generalized Riemann Hypothesis relative to the non-trivial complex zeros of the Dirichlet functions by studying the possibility to enlarge the original domain of convergence of their Euler product. The feasibility of this analytic continuation is ruled by the asymptotic behavior in of the series involving Dirichlet characters modulo on primes . Although deterministic, these series have pronounced stochastic features which make them analogous to random time series. We show that the 's satisfy various normal law probability…
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