各种有限域设置中的萨尔科齐定理

IF 0.9 3区 数学 Q2 MATHEMATICS SIAM Journal on Discrete Mathematics Pub Date : 2024-04-29 DOI:10.1137/23m1563256
Anqi Li, Lisa Sauermann
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引用次数: 0

摘要

SIAM 离散数学杂志》第 38 卷第 2 期第 1409-1416 页,2024 年 6 月。摘要在本文中,我们强化了格林关于多项式环[math]中的萨科齐定理的一个结果。在整数环境中,对于给定的常数项为零的多项式[math],萨尔柯兹定理的(广义)给出了对于某些[math]不包含满足[math]的不同[math]的子集[math]的最大大小的上界。格林在多项式环[math]的子集[math]中证明了一个类似的结果,并给出了更强的约束,但这个结果需要一个附加条件,即多项式[math]的根数与[math]共素。我们对格林的结果进行了归纳,去掉了这个条件。作为应用,我们还得到了萨科齐定理的一个版本,它对固定素数[math]和大[math]的[math]子集[math]具有类似的强约束。
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Sárközy’s Theorem in Various Finite Field Settings
SIAM Journal on Discrete Mathematics, Volume 38, Issue 2, Page 1409-1416, June 2024.
Abstract. In this paper, we strengthen a result by Green about an analogue of Sárközy’s theorem in the setting of polynomial rings [math]. In the integer setting, for a given polynomial [math] with constant term zero, (a generalization of) Sárközy’s theorem gives an upper bound on the maximum size of a subset [math] that does not contain distinct [math] satisfying [math] for some [math]. Green proved an analogous result with much stronger bounds in the setting of subsets [math] of the polynomial ring [math], but this result required the additional condition that the number of roots of the polynomial [math] be coprime to [math]. We generalize Green’s result, removing this condition. As an application, we also obtain a version of Sárközy’s theorem with similar strong bounds for subsets [math] for [math] for a fixed prime [math] and large [math].
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
124
审稿时长
4-8 weeks
期刊介绍: SIAM Journal on Discrete Mathematics (SIDMA) publishes research papers of exceptional quality in pure and applied discrete mathematics, broadly interpreted. The journal''s focus is primarily theoretical rather than empirical, but the editors welcome papers that evolve from or have potential application to real-world problems. Submissions must be clearly written and make a significant contribution. Topics include but are not limited to: properties of and extremal problems for discrete structures combinatorial optimization, including approximation algorithms algebraic and enumerative combinatorics coding and information theory additive, analytic combinatorics and number theory combinatorial matrix theory and spectral graph theory design and analysis of algorithms for discrete structures discrete problems in computational complexity discrete and computational geometry discrete methods in computational biology, and bioinformatics probabilistic methods and randomized algorithms.
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