通过次要可逆积赋值实现集合函数和矩阵排列的组合缩减

IF 1 3区 数学 Q1 MATHEMATICS
Mario Angelelli
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引用次数: 0

摘要

我们以两个矩阵乘积的行列式展开为基础,引入一个代数模型来检验集合函数的组合还原。行列式展开的每个项都通过 d 个不定项的单项式因子变形,其指数定义了一个 Zd 值集合函数。通过结合两个矩阵的格拉斯曼-普吕克关系,我们推导出了稀疏多项式族,研究了它们在劳伦多项式环中的因式分解性质,并将其与信息论概念联系起来。在给定的通性条件下,我们证明了组合还原和行列式展开之间的等价性;具体地说,当且仅当变形是由 C(t) 中作为原始行列式表达式核的单位对角矩阵诱导时,它才返回行列式展开。这一特征支持定义一种新方法,用于检查和恢复矩阵排列的组合还原。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combinatorial reduction of set functions and matroid permutations through minor invertible product assignment
We introduce an algebraic model, based on the determinantal expansion of the product of two matrices, to test combinatorial reductions of set functions. Each term of the determinantal expansion is deformed through a monomial factor in d indeterminates, whose exponents define a Zd-valued set function. By combining the Grassmann-Plücker relations for the two matrices, we derive a family of sparse polynomials, whose factorisation properties in a Laurent polynomial ring are studied and related to information-theoretic notions.
Under a given genericity condition, we prove the equivalence between combinatorial reductions and determinantal expansions with invertible minor products; specifically, a deformation returns a determinantal expansion if and only if it is induced by a diagonal matrix of units in C(t) acting as a kernel in the original determinant expression. This characterisation supports the definition of a new method for checking and recovering combinatorial reductions for matroid permutations.
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
333
审稿时长
13.8 months
期刊介绍: Linear Algebra and its Applications publishes articles that contribute new information or new insights to matrix theory and finite dimensional linear algebra in their algebraic, arithmetic, combinatorial, geometric, or numerical aspects. It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.
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