On the random variable $\N^r \ni (k_1, k_2, ..., k_r) \mapsto \gcd(n,k_1k_2... k_r) \in \N$
Norihiko Minami

TL;DR
This paper computes the moments and continuous analogue of a random variable involving the gcd of a fixed number and a product of r integers, using elementary methods, extending previous analytical results.
Contribution
It introduces an elementary approach to compute moments and continuous analogues of a gcd-related random variable, generalizing prior analytical findings.
Findings
Computed moments of the gcd-based random variable
Derived its continuous analogue
Extended previous results by Kurokawa-Ochiai
Abstract
We compute the "moments" and its continuous anaougue of the random variable by a purely elementary method. This generalizes a result of Kurokawa-Ochiai, which computed its "average" using some analysis involving L-function.
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Taxonomy
TopicsProbability and Risk Models
