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The number of maximum primitive sets of integers

Published online by Cambridge University Press:  28 January 2021

Hong Liu
Affiliation:
Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK
Péter Pál Pach*
Affiliation:
MTA-BME Lendület Arithmetic Combinatorics Research Group, Budapest University of Technology and Economics, Magyar tudósok körútja 2, 1117 Budapest, Hungary Department of Computer Science and Information Theory, Budapest University of Technology and Economics, Magyar tudósok körútja 2, 1117 Budapest, Hungary Department of Computer Science and DIMAP, University of Warwick, Coventry CV4 7AL, UK
Richárd Palincza
Affiliation:
MTA-BME Lendület Arithmetic Combinatorics Research Group, Budapest University of Technology and Economics, Magyar tudósok körútja 2, 1117 Budapest, Hungary Department of Computer Science and Information Theory, Budapest University of Technology and Economics, Magyar tudósok körútja 2, 1117 Budapest, Hungary
*
*Corresponding author. Email: ppp@cs.bme.hu

Abstract

A set of integers is primitive if it does not contain an element dividing another. Let f(n) denote the number of maximum-size primitive subsets of {1,…,2n}. We prove that the limit α = limn→∞f(n)1/n exists. Furthermore, we present an algorithm approximating α with (1 + ε) multiplicative error in N(ε) steps, showing in particular that α ≈ 1.318. Our algorithm can be adapted to estimate the number of all primitive sets in {1,…,n} as well.

We address another related problem of Cameron and Erdős. They showed that the number of sets containing pairwise coprime integers in {1,…n} is between ${2^{\pi (n)}} \cdot {e^{(1/2 + o(1))\sqrt n }}$ and ${2^{\pi (n)}} \cdot {e^{(2 + o(1))\sqrt n }}$. We show that neither of these bounds is tight: there are in fact ${2^{\pi (n)}} \cdot {e^{(1 + o(1))\sqrt n }}$ such sets.

Type
Paper
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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Footnotes

Supported partly by the UK Research and Innovation Future Leaders Fellowship MR/S016325/1 and the Leverhulme Trust Early Career Fellowship ECF-2016-523.

Partially supported by the National Research, Development and Innovation Office NKFIH (grant PD115978 and BME NC TKP2020), the Lendület program and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences. He has also received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement 648509). This publication reflects only its author’s view; the European Research Council Executive Agency is not responsible for any use that may be made of the information it contains.

§

Supported by the Lendület program of the Hungarian Academy of Sciences (MTA) and the BME-Artificial Intelligence FIKP grant of EMMI (BME FIKP-MI/SC).

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