On the Montgomery--Vaughan weighted generalization of Hilbert's inequality

Fuente: arXiv
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Autore principale: Yangjit, Wijit
Natura: Preprint
Pubblicazione: 2022
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author Yangjit, Wijit
author_facet Yangjit, Wijit
contents This paper concerns the problem of determining the optimal constant in the Montgomery--Vaughan weighted generalization of Hilbert's inequality. We consider an approach pursued by previous authors via a parametric family of inequalities. We obtain upper and lower bounds for the constants in inequalities in this family. A lower bound indicates that the method in its current form cannot achieve any value below $3.19497$, so cannot achieve the conjectured constant $π$. The problem of determining the optimal constant remains open.
format Preprint
id arxiv_https___arxiv_org_abs_2203_14950
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle On the Montgomery--Vaughan weighted generalization of Hilbert's inequality
Yangjit, Wijit
Classical Analysis and ODEs
15A42, 26D15, 26D05
This paper concerns the problem of determining the optimal constant in the Montgomery--Vaughan weighted generalization of Hilbert's inequality. We consider an approach pursued by previous authors via a parametric family of inequalities. We obtain upper and lower bounds for the constants in inequalities in this family. A lower bound indicates that the method in its current form cannot achieve any value below $3.19497$, so cannot achieve the conjectured constant $π$. The problem of determining the optimal constant remains open.
title On the Montgomery--Vaughan weighted generalization of Hilbert's inequality
topic Classical Analysis and ODEs
15A42, 26D15, 26D05
url https://arxiv.org/abs/2203.14950