Polynomial Factorization Over Henselian Fields

IF 2.5 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Foundations of Computational Mathematics Pub Date : 2024-02-21 DOI:10.1007/s10208-024-09646-x
Maria Alberich-Carramiñana, Jordi Guàrdia, Enric Nart, Adrien Poteaux, Joaquim Roé, Martin Weimann
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Abstract

We present an algorithm that, given an irreducible polynomial g over a general valued field (Kv), finds the factorization of g over the Henselianization of K under certain conditions. The analysis leading to the algorithm follows the footsteps of Ore, Mac Lane, Okutsu, Montes, Vaquié and Herrera–Olalla–Mahboub–Spivakovsky, whose work we review in our context. The correctness is based on a key new result (Theorem 4.10), exhibiting relations between generalized Newton polygons and factorization in the context of an arbitrary valuation. This allows us to develop a polynomial factorization algorithm and an irreducibility test that go beyond the classical discrete, rank-one case. These foundational results may find applications for various computational tasks involved in arithmetic of function fields, desingularization of hypersurfaces, multivariate Puiseux series or valuation theory.

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汉塞尔域上的多项式因式分解
我们提出了一种算法,在给定一般有值域(K,v)上的不可约多项式 g 的情况下,可以在一定条件下找到 g 在 K 的 Henselianization 上的因式分解。该算法的分析沿袭了奥雷(Ore)、麦克莱恩(Mac Lane)、奥库津(Okutsu)、蒙特斯(Montes)、瓦基耶(Vaquié)和埃雷拉-奥拉拉-马赫布-斯皮瓦科夫斯基(Herrera-Olalla-Mahboub-Spivakovsky)的研究成果,我们在此回顾一下他们的工作。正确性基于一个关键的新结果(定理 4.10),它展示了任意估值背景下广义牛顿多边形与因式分解之间的关系。这使我们能够开发出一种多项式因式分解算法和一种不可还原性检验,超越了经典的离散、秩一情况。这些基础性结果可能会应用于函数场算术、超曲面去星形化、多变量普伊塞克斯数列或估值理论中涉及的各种计算任务。
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来源期刊
Foundations of Computational Mathematics
Foundations of Computational Mathematics 数学-计算机:理论方法
CiteScore
6.90
自引率
3.30%
发文量
46
审稿时长
>12 weeks
期刊介绍: Foundations of Computational Mathematics (FoCM) will publish research and survey papers of the highest quality which further the understanding of the connections between mathematics and computation. The journal aims to promote the exploration of all fundamental issues underlying the creative tension among mathematics, computer science and application areas unencumbered by any external criteria such as the pressure for applications. The journal will thus serve an increasingly important and applicable area of mathematics. The journal hopes to further the understanding of the deep relationships between mathematical theory: analysis, topology, geometry and algebra, and the computational processes as they are evolving in tandem with the modern computer. With its distinguished editorial board selecting papers of the highest quality and interest from the international community, FoCM hopes to influence both mathematics and computation. Relevance to applications will not constitute a requirement for the publication of articles. The journal does not accept code for review however authors who have code/data related to the submission should include a weblink to the repository where the data/code is stored.
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