可解和幂零拟阵:其相关变种的可实现性和不可约分解

IF 1.1 4区 数学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Emiliano Liwski, Fatemeh Mohammadi
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引用次数: 0

摘要

我们介绍了可解和幂零拟阵族,研究了它们的实现空间、闭包以及相关的拟阵和电路变种。我们研究了它们的可实现性,以及它们相关的矩阵和电路的不可约分解。此外,我们描述了相应理想的有限生成集,考虑到根。我们建立了这些拟阵的可实现性及其相关变种的不可约性的充分条件。具体地说,我们建立了与幂零拟阵相关的拟阵品种的可实现性和不可约性,并证明了由某类可解铺装拟阵产生的拟阵品种的不可约性。此外,我们还利用Grassmann-Cayley代数和几何可提性技术分析了这些变量的多项式方程的定义。此外,我们还给出了与森林构型相关的拟阵理想的完整生成集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solvable and nilpotent matroids: Realizability and irreducible decomposition of their associated varieties
We introduce the families of solvable and nilpotent matroids, examining their realization spaces, closures, and associated matroid and circuit varieties. We study their realizability, as well as the irreducible decomposition of their associated matroid and circuit varieties. Additionally, we describe a finite generating set for the corresponding ideals, considered up to radical. We establish sufficient conditions for both the realizability of these matroids and the irreducibility of their associated varieties. Specifically, we establish the realizability and irreducibility of matroid varieties associated with nilpotent matroids and prove the irreducibility of matroid varieties arising from certain classes of solvable paving matroids. Additionally, we analyze the defining polynomial equations of these varieties using Grassmann-Cayley algebra and geometric liftability techniques. Furthermore, we provide a complete generating set for the matroid ideals associated with forest configurations.
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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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