Polynomial Equivalence Problems for Sum of Affine Powers

Ignacio García-Marco, P. Koiran, Timothée Pecatte
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引用次数: 9

Abstract

A sum of affine powers is an expression of the form [f(x1,...,xn) = ∑i=1s αi li(x1,...,xn)ei] where li is an affine form. We propose polynomial time black-box algorithms that find the decomposition with the smallest value of s for an input polynomial f . Our algorithms work in situations where s is small enough compared to the number of variables or to the exponents ei. Although quite simple, this model is a generalization of Waring decomposition. This paper extends previous work on Waring decomposition as well as our work on univariate sums of affine powers (ISSAC'17).
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仿射幂和的多项式等价问题
仿射幂的和是如下形式的表达式[f(x1,…,xn) =∑i=1s αi li(x1,…,xn)ei],其中li是仿射形式。我们提出了多项式时间黑盒算法,用于寻找输入多项式f的最小s值的分解。我们的算法适用于s相对于变量的数量或者指数ei来说足够小的情况。虽然非常简单,但该模型是Waring分解的泛化。本文扩展了之前关于Waring分解的工作以及我们关于单变量仿射幂和的工作(ISSAC'17)。
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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