Computing the binomial part of a polynomial ideal

IF 0.6 4区 数学 Q4 COMPUTER SCIENCE, THEORY & METHODS Journal of Symbolic Computation Pub Date : 2024-01-14 DOI:10.1016/j.jsc.2024.102298
Martin Kreuzer, Florian Walsh
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Abstract

Given an ideal I in a polynomial ring K[x1,,xn] over a field K, we present a complete algorithm to compute the binomial part of I, i.e., the subideal Bin(I) of I generated by all monomials and binomials in I. This is achieved step-by-step. First we collect and extend several algorithms for computing exponent lattices in different kinds of fields. Then we generalize them to compute exponent lattices of units in 0-dimensional K-algebras, where we have to generalize the computation of the separable part of an algebra to non-perfect fields in characteristic p. Next we examine the computation of unit lattices in finitely generated K-algebras, as well as their associated characters and lattice ideals. This allows us to calculate Bin(I) when I is saturated with respect to the indeterminates by reducing the task to the 0-dimensional case. Finally, we treat the computation of Bin(I) for general ideals by computing their cellular decomposition and dealing with finitely many special ideals called (s,t)-binomial parts. All algorithms have been implemented in SageMath.

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计算多项式理想的二项式部分
给定域 K 上多项式环 K[x1,...,xn] 中的理想 I,我们提出了一种完整的算法来计算 I 的二项式部分,即由 I 中的所有单项式和二项式生成的 I 的子理想 Bin(I)。首先,我们收集并扩展了几种计算不同类型场中指数网格的算法。然后,我们将它们推广到计算 0 维 K 结构中的单位幂网格,在这里,我们必须将代数的可分离部分的计算推广到特征 p 中的非完全域。这样,我们就可以通过将任务简化为 0 维情况,计算当 I 关于不确定度饱和时的 Bin(I)。最后,我们通过计算一般理想的蜂窝分解来处理 Bin(I) 的计算,并处理称为 (s,t)-binomial 部分的有限多个特殊理想。所有算法都已在 SageMath 中实现。
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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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