{"title":"寻找整数环上二元多项式的小根","authors":"Jiseung Kim, Changmin Lee","doi":"10.3934/amc.2022012","DOIUrl":null,"url":null,"abstract":"<p style='text-indent:20px;'>In this paper, we propose the first heuristic algorithm for finding small roots for a bivariate equation modulo an ideal <inline-formula><tex-math id=\"M3\">\\begin{document}$ \\mathcal{I} $\\end{document}</tex-math></inline-formula> over the ring of integers <inline-formula><tex-math id=\"M4\">\\begin{document}$ \\mathcal{R} $\\end{document}</tex-math></inline-formula>. Existing algorithms for solving polynomial equations with size constraints only work for bivariate modular equations over integers, and univariate modular equation over number fields.</p><p style='text-indent:20px;'>Both previous algorithms use a relation between the short vector in a skillfully structured lattice and a size constrained solution. Our algorithm also follows this framework, but we additionally use a polynomial factoring algorithm over number fields to recover a 'ring' root of a bivariate polynomial equation.</p><p style='text-indent:20px;'>As a result, when an LLL algorithm is employed to find a short vector, we can recover all small roots of a bivariate polynomial modulo <inline-formula><tex-math id=\"M5\">\\begin{document}$ \\mathcal{I} $\\end{document}</tex-math></inline-formula> in polynomial time under some constraint.</p>","PeriodicalId":50859,"journal":{"name":"Advances in Mathematics of Communications","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finding small roots for bivariate polynomials over the ring of integers\",\"authors\":\"Jiseung Kim, Changmin Lee\",\"doi\":\"10.3934/amc.2022012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p style='text-indent:20px;'>In this paper, we propose the first heuristic algorithm for finding small roots for a bivariate equation modulo an ideal <inline-formula><tex-math id=\\\"M3\\\">\\\\begin{document}$ \\\\mathcal{I} $\\\\end{document}</tex-math></inline-formula> over the ring of integers <inline-formula><tex-math id=\\\"M4\\\">\\\\begin{document}$ \\\\mathcal{R} $\\\\end{document}</tex-math></inline-formula>. Existing algorithms for solving polynomial equations with size constraints only work for bivariate modular equations over integers, and univariate modular equation over number fields.</p><p style='text-indent:20px;'>Both previous algorithms use a relation between the short vector in a skillfully structured lattice and a size constrained solution. Our algorithm also follows this framework, but we additionally use a polynomial factoring algorithm over number fields to recover a 'ring' root of a bivariate polynomial equation.</p><p style='text-indent:20px;'>As a result, when an LLL algorithm is employed to find a short vector, we can recover all small roots of a bivariate polynomial modulo <inline-formula><tex-math id=\\\"M5\\\">\\\\begin{document}$ \\\\mathcal{I} $\\\\end{document}</tex-math></inline-formula> in polynomial time under some constraint.</p>\",\"PeriodicalId\":50859,\"journal\":{\"name\":\"Advances in Mathematics of Communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Mathematics of Communications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.3934/amc.2022012\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Mathematics of Communications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.3934/amc.2022012","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
摘要
In this paper, we propose the first heuristic algorithm for finding small roots for a bivariate equation modulo an ideal \begin{document}$ \mathcal{I} $\end{document} over the ring of integers \begin{document}$ \mathcal{R} $\end{document}. Existing algorithms for solving polynomial equations with size constraints only work for bivariate modular equations over integers, and univariate modular equation over number fields.Both previous algorithms use a relation between the short vector in a skillfully structured lattice and a size constrained solution. Our algorithm also follows this framework, but we additionally use a polynomial factoring algorithm over number fields to recover a 'ring' root of a bivariate polynomial equation.As a result, when an LLL algorithm is employed to find a short vector, we can recover all small roots of a bivariate polynomial modulo \begin{document}$ \mathcal{I} $\end{document} in polynomial time under some constraint.
Finding small roots for bivariate polynomials over the ring of integers
In this paper, we propose the first heuristic algorithm for finding small roots for a bivariate equation modulo an ideal \begin{document}$ \mathcal{I} $\end{document} over the ring of integers \begin{document}$ \mathcal{R} $\end{document}. Existing algorithms for solving polynomial equations with size constraints only work for bivariate modular equations over integers, and univariate modular equation over number fields.
Both previous algorithms use a relation between the short vector in a skillfully structured lattice and a size constrained solution. Our algorithm also follows this framework, but we additionally use a polynomial factoring algorithm over number fields to recover a 'ring' root of a bivariate polynomial equation.
As a result, when an LLL algorithm is employed to find a short vector, we can recover all small roots of a bivariate polynomial modulo \begin{document}$ \mathcal{I} $\end{document} in polynomial time under some constraint.
期刊介绍:
Advances in Mathematics of Communications (AMC) publishes original research papers of the highest quality in all areas of mathematics and computer science which are relevant to applications in communications technology. For this reason, submissions from many areas of mathematics are invited, provided these show a high level of originality, new techniques, an innovative approach, novel methodologies, or otherwise a high level of depth and sophistication. Any work that does not conform to these standards will be rejected.
Areas covered include coding theory, cryptology, combinatorics, finite geometry, algebra and number theory, but are not restricted to these. This journal also aims to cover the algorithmic and computational aspects of these disciplines. Hence, all mathematics and computer science contributions of appropriate depth and relevance to the above mentioned applications in communications technology are welcome.
More detailed indication of the journal''s scope is given by the subject interests of the members of the board of editors.