Erdős-Kac theorem

For a real strongly additive arithmetic function with uniformly bounded values on primes, put $A(x)={\sum }_{p\le x}f(p)/p$ and $B(x{)}^2={\sum }_{p\le x}f(p{)}^2/p$. If $B(x)\to \infty$, then $(f(n)-A(N))/B(N)$ under uniform sampling from $[N]$ converges to the standard normal distribution. For the prime omega function, the mean and variance scales are $\log \log N$.

If a strongly additive arithmetic function $g$ is supported on primes up to $y$, its $j$th uniform central moment differs from the independent Bernoulli random variables model with probabilities $1/p$ by $O(j{y}^j({\sum }_{p\le y}|g(p)|{)}^j/N)$. Expansion of divisibility indicator functions reduces the comparison to $\lfloor N/d\rfloor /N=1/d+O(1/N)$.