Central Limit Theorems for series of Dirichlet characters
Andr\'e LeClair

TL;DR
This paper establishes central limit theorems for series involving Dirichlet characters, linking probabilistic behavior of these series to the truth of the Generalized Riemann Hypothesis for associated L-functions.
Contribution
It proves new central limit theorems for Dirichlet character series and connects these results to probabilistic evidence for the Generalized Riemann Hypothesis.
Findings
Central limit theorems for non-principal Dirichlet character series
Probabilistic validation of the Generalized Riemann Hypothesis
Extension proposals for principal characters as t approaches infinity
Abstract
For a given Dirichlet character , we prove central limit theorems for the series for non-principal characters, and for principal characters, where are integers based on a variant of Cram\'er's random model for the primes. For non-principal characters, we use these results to show that the Generalized Riemann Hypothesis for the associated -function is true with probability equal to one. For principal characters we propose how to extend these arguments to .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAnalytic Number Theory Research · Mathematical Dynamics and Fractals · Geometry and complex manifolds
