\'Etude statistique du facteur premier m\'edian, 3 : lois de r\'epartition
Jonathan Rotg\'e

TL;DR
This paper investigates the distribution of the middle prime factor of integers, establishing a Gaussian limit law and providing an optimal convergence rate, thus advancing the understanding of prime factorization statistics.
Contribution
It introduces an improved bound on the convergence speed to the Gaussian law for the middle prime factor distribution, refining previous results.
Findings
Established a Gaussian limit law for the middle prime factor
Derived an optimal bound for the convergence rate
Enhanced previous estimates in the literature
Abstract
We consider the Gaussian limit law for the distribution of the middle prime factor of an integer, defined according to multiplicity or not. We obtain an optimal bound for the speed of convergence, thereby improving on previous estimates available in the literature.
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Taxonomy
TopicsBayesian Methods and Mixture Models
