MODERN APPROACHES TO THE STUDY OF THE DISTRIBUTION OF POLYNOMIAL VALUES OVER SHORT INTERVALS

2026

Closed access Metadata (CSL-JSON)
DOI 10.65599/ts1531
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

This paper presents the main stages in the study of the distribution of fractional parts of polynomial values whose arguments lie in short intervals. The research is based on methods of analytic number theory, particularly on estimates of trigonometric sums, starting from classical results by Gauss and Weyl and extending to modern developments. It is shown that the key tool for studying the distribution of fractional parts of the values of various polynomials, whose arguments take values from short intervals, is the method of trigonometric sums, which makes it possible to obtain non-trivial estimates and to establish the uniform distribution of sequences modulo one. The paper reviews estimates of rational and irrational trigonometric sums, including contributions by Mordell, Weyl, Hua Loo-Keng, and Vinogradov. Special attention is paid to short Weyl sums and their applications to the study of polynomial values over short intervals. The results of Tajik mathematicians, especially Z.Kh. Rakhmonov, N.B. Ozodbekova, S.N. Ismatov and F.Z. Rakhmonov are discussed, focusing on bounds for short sums and their applications to uniform distribution problems. The obtained results demonstrate substantial progress in analytic number theory and its applications to distribution problems. The study confirms the central role of trigonometric sums as a powerful and versatile tool in modern number theory.