Dr Sacha Mangerel alexander.mangerel@durham.ac.uk
Assistant Professor
Let ε>0 be sufficiently small and let 0<η<1/522 . We show that if X is large enough in terms of ε , then for any squarefree integer q≤X196/261−ε that is Xη -smooth one can obtain an asymptotic formula with power-saving error term for the number of squarefree integers in an arithmetic progression a(modq) , with (a,q)=1 . In the case of squarefree, smooth moduli this improves upon previous work of Nunes, in which 196/261=0.75096… was replaced by 25/36=0.69 ¯ 4 . This also establishes a level of distribution for a positive density set of moduli that improves upon a result of Hooley. We show more generally that one can break the X3/4 -barrier for a density 1 set of Xη -smooth moduli q (without the squarefree condition). Our proof appeals to the q-analogue of the van der Corput method of exponential sums, due to Heath-Brown, to reduce the task to estimating correlations of certain Kloosterman-type complete exponential sums modulo prime powers. In the prime case we obtain a power-saving bound via a cohomological treatment of these complete sums, while in the higher prime power case we establish savings of this kind using p-adic methods.
Mangerel, A. P. (2021). Squarefree Integers in Arithmetic Progressions to Smooth Moduli. Forum of Mathematics, Sigma, 9, Article e72. https://doi.org/10.1017/fms.2021.67
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 2, 2021 |
Online Publication Date | Oct 27, 2021 |
Publication Date | 2021 |
Deposit Date | Oct 20, 2021 |
Publicly Available Date | Jan 26, 2022 |
Journal | Forum of Mathematics, Sigma |
Print ISSN | 2050-5094 |
Electronic ISSN | 2050-5094 |
Publisher | Cambridge University Press |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Article Number | e72 |
DOI | https://doi.org/10.1017/fms.2021.67 |
Public URL | https://durham-repository.worktribe.com/output/1233941 |
Related Public URLs | https://arxiv.org/abs/2008.11163 |
Published Journal Article
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Copyright Statement
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
© The Author(s), 2021. Published by Cambridge University Press
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