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Partial Derivatives in Arithmetic Complexity and Beyond

机译:算术复杂性及其后的偏导数

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How complex is a given multivariate polynomial? The main point of this survey is that one can learn a great deal about the structure and complexity of polynomials by studying (some of) their partial derivatives. The bulk of the survey shows that partial derivatives provide essential ingredients in proving both upper and lower bounds for computing polynomials by a variety of natural arithmetic models. We will also see applications which go beyond computational complexity, where partial derivatives provide a wealth of structural information about polynomials (including their number of roots, reducibility and internal symmetries), and help us solve various number theoretic, geometric, and combinatorial problems.
机译:给定的多元多项式有多复杂?这项调查的重点是,可以通过研究多项式的偏导数(的一些)来学习多项式的结构和复杂性。大部分调查表明,偏导数为证明通过各种自然算术模型计算多项式的上下限提供了必要的成分。我们还将看到超越计算复杂性的应用程序,其中偏导数提供了有关多项式的大量结构信息(包括其根的数量,可归约性和内部对称性),并帮助我们解决了各种数论,几何和组合问题。

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