Theorem

Erdos-Kac Theorem

Number Theory

The Erdos-Kac Theorem states that the number of distinct prime factors of a large random integer, once centered and rescaled using the iterated logarithm of that integer, converges in distribution to a standard normal distribution. Named for Paul Erdos and Mark Kac, it is often described as a central limit theorem for the number of prime factors of an integer, one of the earliest and best known results linking probability theory to number theory.

Facts
Statement
If omega(n) is the number of distinct prime factors of n, then, loosely speaking, the probability distribution of omega(n) minus log log n, divided by the square root of log log n, is the standard normal distribution. 1
Proof Year
1940 1
Classification
Statement Form
Existence Theorem 1
Connections

Has Statement Form

In Branch

Source Erdos-Kac theorem (Wikipedia)

Principal Result Of

Source Erdos-Kac theorem (Wikipedia)

Proved By

Sources
1. Erdos-Kac theorem (Wikipedia)
  • Lead section, first sentence
    states that if omega(n) is the number of distinct prime factors of n, then, loosely speaking, the probability distribution of omega(n) - log log n / sqrt(log log n) is the standard normal distribution
  • References section
    Erdos, Paul, Kac, Mark (1940). The Gaussian Law of Errors in the Theory of Additive Number Theoretic Functions. American Journal of Mathematics.
  • Principal Result Of: Paul Erdos, Lead sentence of the article on the result
    In number theory, the Erdős-Kac theorem, named after Paul Erdős and Mark Kac, and also known as the fundamental theorem of probabilistic number theory, states that if ω(n) is the number of distinct prime factors of n, then, loosely speaking, the probability distribution of ω ( n ) − log ⁡ log ⁡ n log ⁡ log ⁡ n {\displaystyle {\frac {\omega (n)-\log \log n}{\sqrt {\log \log n}}}} is the standard normal distribution. ( ω ( n ) {\displaystyle \omega (n)} is sequence A001221 in the OEIS.)
  • In Branch: Number Theory, Lead sentence
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