Connecting arithmetic functions and continuous distribution functions

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Master Thesis

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Abstract

In this thesis, we discuss some classical results in probabilistic number theory, focusing on when the outputs of an arithmetic function, usually multiplicative, attain a continuous distribution function. We study the inception of these theories around the early 20th century in the work of Schoenberg, who inspired Davenport to show that abundant numbers have a continuous distribution. It was not until 2013 that Jennings, Pollack and Thompson looked at this problem from a different perspective an

Keywords

Probabilistic Number Theory; Distribution functions; Arithmetic functions; Cantor distribution

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