Limit Theorems for Empirical Density of Greatest Common Divisors
Behzad Mehrdad, Lingjiong Zhu

TL;DR
This paper investigates the large deviations and convergence rates of the empirical density of pairs of integers with a given GCD, extending classical number theory results to probabilistic large deviation principles.
Contribution
It introduces large deviation analysis and convergence rate results for the empirical GCD density, expanding the understanding of its probabilistic behavior.
Findings
Established large deviation principles for empirical GCD density
Derived convergence rates to the normal distribution in the CLT
Provided generalizations of classical number theory results
Abstract
The law of large numbers for the empirical density for the pairs of uniformly distributed integers with a given greatest common divisor is a classic result in number theory. In this paper, we study the large deviations of the empirical density. We will also obtain a rate of convergence to the normal distribution for the central limit theorem. Some generalizations are provided.
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Taxonomy
TopicsAnalytic Number Theory Research · Limits and Structures in Graph Theory · Advanced Topology and Set Theory
