Some ergodic theorems over squarefree numbers and squarefull numbers

In 2022, Bergelson and Richter gave a new dynamical generalization of the prime number theorem by establishing an ergodic theorem along the number of prime factors of integers. They also showed that this generalization holds as well if the integers are restricted to be squarefree. In this paper, we present the concept of invariant averages under multiplications for arithmetic functions. Utilizing the properties of these invariant averages, we derive several ergodic theorems over squarefree numbers and squarefull numbers. These theorems have significant connections with the Erdős–Kac theorem, the Bergelson–Richter theorem, and the Loyd theorem.

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Publication Details

Journal
Acta Arithmetica
Published
2025-10-13
DOI
https://doi.org/10.4064/aa240909-18-6
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Some ergodic theorems over squarefree numbers and squarefull numbers

Shaoyun Yi, Huixi Li, Biao Wang, Chunlin Wang
Acta Arithmetica
Stochastic processes and financial applications
article

Some ergodic theorems over squarefree numbers and squarefull numbers

Shaoyun Yi, Huixi Li, Biao Wang, Chunlin Wang
article en

Abstract

In 2022, Bergelson and Richter gave a new dynamical generalization of the prime number theorem by establishing an ergodic theorem along the number of prime factors of integers. They also showed that this generalization holds as well if the integers are restricted to be squarefree. In this paper, we present the concept of invariant averages under multiplications for arithmetic functions. Utilizing the properties of these invariant averages, we derive several ergodic theorems over squarefree numbers and squarefull numbers. These theorems have significant connections with the Erdős–Kac theorem, the Bergelson–Richter theorem, and the Loyd theorem.

Acta Arithmetica
Yunnan University (CN), Xiamen University (CN), Nankai University (CN), Sichuan Normal University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 63%
Stochastic processes and financial applications
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