AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (543.9 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Explicit formulae for inhomogeneous binary quadratic congruences modulo prime powers

Jiafan Zhang( ), Ran Xiong
School of Mathematics and Statistics, Weinan Normal University, Weinan 714099, China
Show Author Information

Abstract

In this paper, we study the number of solutions to the inhomogeneous binary quadratic congruence a x 2 + b x y + c y 2 + d x + e y ≡ n ( mod q ) , where q is a prime power. We treat the cases where q is an odd prime power and a power of 2 separately. By combining exponential sum methods, quadratic Gauss sums, and Hensel's lemma, we obtain exact formulae for the number of unrestricted solutions over ( Z q ) 2 and the number of solutions with both variables restricted to units over ( Z q ∗ ) 2 . This paper simultaneously handles a mixed quadratic term and two separate linear terms, extending several previously studied diagonal, homogeneous, and symmetric special cases.

References

【1】
【1】
 
 
Electronic Research Archive
Pages 7046-7070

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Zhang J, Xiong R. Explicit formulae for inhomogeneous binary quadratic congruences modulo prime powers. Electronic Research Archive, 2026, 34(10): 7046-7070. https://doi.org/10.3934/era.2026305

6

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 15 May 2026
Revised: 28 July 2026
Accepted: 11 August 2026
Published: 15 October 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)