Distributions Modulo One of Slowly Varying Functions of Primes

For a common class of slowly varying functions ๐‘“, this note studies the empirical distributions modulo one of sequences (๐‘“โก(๐‘๐‘›)) where ๐‘๐‘› denotes the ๐‘›-th prime number. By means of a Kantorovich metric for probability measures on the circle, simple explicit bounds are established for the deviation of these empirical distributions from their limit set, a circle consisting of all rotated copies of a single exponential distribution. Despite their simplicity the established bounds often are sharp. They complement known results in the literature and give rise to several intriguing quantitative questions.

Authors

Institutions

Publication Details

Journal
Uniform distribution theory
Published
2026-10-29
DOI
https://doi.org/10.66833/udt-2026-0008
Primary Topic
Analytic Number Theory Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distributions Modulo One of Slowly Varying Functions of Primes

Arno Berger, Matthew Jamie Liu
Uniform distribution theory
Analytic Number Theory Research
article

Distributions Modulo One of Slowly Varying Functions of Primes

Arno Berger, Matthew Jamie Liu
article en

Abstract

For a common class of slowly varying functions ๐‘“, this note studies the empirical distributions modulo one of sequences (๐‘“โก(๐‘๐‘›)) where ๐‘๐‘› denotes the ๐‘›-th prime number. By means of a Kantorovich metric for probability measures on the circle, simple explicit bounds are established for the deviation of these empirical distributions from their limit set, a circle consisting of all rotated copies of a single exponential distribution. Despite their simplicity the established bounds often are sharp. They complement known results in the literature and give rise to several intriguing quantitative questions.

Uniform distribution theoryVol. 21(1)
University of Alberta (CA)
Openalex Percentile: Top 4%
Analytic Number Theory Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon