# Summing $\mu(n)$: a faster elementary algorithm

Posted in
Speaker:
Lauren (Lola) Thompson
Affiliation:
Oberlin College/MPIM
Date:
Wed, 2020-02-19 14:30 - 15:30
Location:
MPIM Lecture Hall
Parent event:
Number theory lunch seminar

Consider either of two related problems: determining the precise number $\pi(x)$ of prime numbers up to $x$, and computing the Mertens function $M(x) = \sum_{n\leq x} \mu(n)$, where $\mu$ is the Möbius function.

The two best algorithms known are the following:

1) An analytic algorithm (Lagarias-Odlyzko, 1987), with computations based on integrals of $\zeta(s)$; its running time is $O(x^{1/2+\epsilon})$.

2) A more elementary algorithm (Meissel-Lehmer, 1959 and Lagarias-Miller-Odlyzko, 1985; refined by Deléglise-Rivat, 1996), with running time about $O(x^{2/3})$.

The analytic algorithm had to wait for almost 30 years to receive its first rigorous, unconditional implementation (Platt), which concerns only the computation of $\pi(x)$. Moreover, in the range explored to date ($x\leq 10^{24}$), the elementary algorithm is faster in practice.

We present a new elementary algorithm with running time about $O\left(x^{3/5}\right)$ for computing $M(x)$. The algorithm should be adaptable to computing $\pi(x)$ and other related problems. This talk is based on joint work with Harald Andrés Helfgott.

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