Summing μ(n) : a faster elementary algorithm

2022 | journal article. A publication with affiliation to the University of Göttingen.

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​Summing μ(n) : a faster elementary algorithm​
Helfgott, H. A.   & Thompson, L.​ (2022) 
Research in Number Theory9(1).​ DOI: https://doi.org/10.1007/s40993-022-00408-8 

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Authors
Helfgott, Harald Andrés ; Thompson, Lola
Abstract
Abstract We present a new elementary algorithm that takes $ \textrm{time} \ \ O_\epsilon \left( x^{\frac{3}{5}} (\log x)^{\frac{8}{5}+\epsilon } \right) \ \ \textrm{and} \ \textrm{space} \ \ O\left( x^{\frac{3}{10}} (\log x)^{\frac{13}{10}} \right) $ time O ϵ x 3 5 ( log x ) 8 5 + ϵ and space O x 3 10 ( log x ) 13 10 (measured bitwise) for computing $M(x) = \sum _{n \le x} \mu (n),$ M ( x ) = ∑ n ≤ x μ ( n ) , where $\mu (n)$ μ ( n ) is the Möbius function. This is the first improvement in the exponent of x for an elementary algorithm since 1985. We also show that it is possible to reduce space consumption to $O(x^{1/5} (\log x)^{5/3})$ O ( x 1 / 5 ( log x ) 5 / 3 ) by the use of (Helfgott in: Math Comput 89:333–350, 2020), at the cost of letting time rise to the order of $x^{3/5} (\log x)^2 \log \log x$ x 3 / 5 ( log x ) 2 log log x .
Issue Date
2022
Journal
Research in Number Theory 
Organization
Mathematisches Institut 
Working Group
RG Helfgott (Number theory and discrete mathematics) 
ISSN
2522-0160
eISSN
2363-9555
Language
English
Sponsor
Alexander von Humboldt-Stiftung http://dx.doi.org/10.13039/100005156
European Research Council http://dx.doi.org/10.13039/501100000781

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