稀疏消去中的紧致公式

I. Emiris
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引用次数: 1

摘要

目前,利用基于多项式的牛顿多面体的稀疏(或环面)消去理论来揭示和利用代数系统的结构已经成为一种标准方法。本演讲调查了稀疏消去中的紧凑公式,包括旧的和最近的结果。我们从根界开始,并置两个最近的公式:m-Bezout界的生成函数和混合体积的一个由矩阵永久形式表达的封闭形式。对于稀疏结果,从Macaulay开始,大量的结果已经为一大类系统建立了行列式或有理公式。判别式与结果式密切相关,但除了非常简单的情况外,不允许有紧凑的公式。给出了计算纳什均衡时稀疏多线性系统的判别式的一个新的行列式公式。我们引入紧公式的另一种概念,即未知多项式的牛顿多面体。对于稀疏结果、判别式以及参数化变量的隐式方程,都可以有效地计算它。这导致我们考虑几何对象的隐式矩阵表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compact Formulae in Sparse Elimination
It has by now become a standard approach to use the theory of sparse (or toric) elimination, based on the Newton polytope of a polynomial, in order to reveal and exploit the structure of algebraic systems. This talk surveys compact formulae, including older and recent results, in sparse elimination. We start with root bounds and juxtapose two recent formulae: a generating function of the m-Bezout bound and a closed-form expression for the mixed volume by means of a matrix permanent. For the sparse resultant, a bevy of results have established determinantal or rational formulae for a large class of systems, starting with Macaulay. The discriminant is closely related to the resultant but admits no compact formula except for very simple cases. We offer a new determinantal formula for the discriminant of a sparse multilinear system arising in computing Nash equilibria. We introduce an alternative notion of compact formula, namely the Newton polytope of the unknown polynomial. It is possible to compute it efficiently for sparse resultants, discriminants, as well as the implicit equation of a parameterized variety. This leads us to consider implicit matrix representations of geometric objects.
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