A Generalization of the Erdos-Kac Theorem
Abstract
Given a natural number n, let ω(n) denote the number of distinct prime factors of n, let Z denote a standard normal variable, and let Pn denote the uniform distribution on \ 1,…,n\ . The Erdos-Kac Theorem states that if N(n) is a uniformly distributed variable on 1,…,n , then ω(N(n)) is asymptotically normally distributed as n ∞ with both mean and variance equal to n. The contribution of this paper is a generalization of the Erdos-Kac Theorem to a larger class of random variables by considering perturbations of the uniform probability mass 1/n in the following sense. Denote by Pn a probability distribution on \ 1,…,n\ given by Pn(i)=1/n+i,n. We provide sufficient conditions on i,n so that the number of distinct prime factors of a Pn-distributed random variable is asymptotically normally distributed, as n ∞, with both mean and variance equal to n. Our main result is applied to prove that the number of distinct prime factors of a positive integer with the Harmonic(n) distribution also tends to the normal distribution, as n ∞. In addition, we explore sequences of distributions on the natural numbers such that ω(n) is normally distributed in the limit. In addition, one of our theorems and its corollaries generalize a result from the literature involving the limit of Zeta(s) distributions as the parameter s 1.
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