Minimal generating sets of large powers of bivariate monomial ideals

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Journal of Symbolic Computation Pub Date : 2026-09-01 Epub Date: 2026-01-13 DOI:10.1016/j.jsc.2026.102554
Jutta Rath, Roswitha Rissner
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引用次数: 0

Abstract

It is known that for a monomial ideal I, the number of minimal generators, μ(In), eventually follows a polynomial pattern for increasing n. In general, little is known about the power at which this pattern emerges. Even less is known about the exact form of the minimal generators after this power. Let s≥μ(I)(d2−1)+1, where d is a constant bounded above by the maximal x- or y-degree appearing in the set G(I) of minimal generators of I. We show that every higher power Is+ℓ for any ℓ≥0 can be constructed from certain subideals of Is. This provides an explicit description of G(Is+ℓ) in terms of G(Is). Given G(Is), this construction significantly reduces computational complexity in determining larger powers of I. This further enables us to explicitly compute μ(In) for all n≥s in terms of a linear polynomial in n. We include runtime measurements for the attached implementation in SageMath.
二元单项式理想的大幂的最小生成集
众所周知,对于单项理想I,最小发生器的数量μ(In)随着n的增加,最终遵循多项式模式。一般来说,对于这种模式出现的功率知之甚少。更少的是知道的确切形式的最小发电机后,这一权力。设s≥μ(I)(d2−1)+1,其中d是一个常数,以I的最小生成子集合G(I)中出现的最大x度或y度为界。我们证明了对于任意r≥0,每一个更高的幂s+ r都可以由s的某些子构造出来。这提供了用G(Is)表示G(Is+ r)的显式描述。给定G(Is),这种结构显著降低了确定更大幂i的计算复杂度,这进一步使我们能够根据n的线性多项式显式地计算所有n≥s的μ(in)。我们在SageMath中包含了附加实现的运行时测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Symbolic Computation
Journal of Symbolic Computation 工程技术-计算机:理论方法
CiteScore
2.10
自引率
14.30%
发文量
75
审稿时长
142 days
期刊介绍: An international journal, the Journal of Symbolic Computation, founded by Bruno Buchberger in 1985, is directed to mathematicians and computer scientists who have a particular interest in symbolic computation. The journal provides a forum for research in the algorithmic treatment of all types of symbolic objects: objects in formal languages (terms, formulas, programs); algebraic objects (elements in basic number domains, polynomials, residue classes, etc.); and geometrical objects. It is the explicit goal of the journal to promote the integration of symbolic computation by establishing one common avenue of communication for researchers working in the different subareas. It is also important that the algorithmic achievements of these areas should be made available to the human problem-solver in integrated software systems for symbolic computation. To help this integration, the journal publishes invited tutorial surveys as well as Applications Letters and System Descriptions.
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