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LA-MOKA:用于直线排列辫单值群的组合离散化算法

LA-MOKA: A Combinatorial Discretization Algorithm for the Braid Monodromy of Line Arrangements

Benoît Guerville-Ballé

arXiv 2607.29333首次发表:更新:

AI 中文总结

该研究针对复直线排列的辫单值群计算问题,提出LA-MOKA算法,通过将连续几何转化为离散组合结构并建立拓扑正确性条件,解决数域上的浮点近似问题。

AI 中文摘要

计算辫单值群是研究复射影平面$\boldsymbol{\text{P}}^2$中代数曲线拓扑的关键工具。我们提出一种名为LA-MOKA的算法,用于在复直线排列的特定情形下计算该不变量。为安全处理数域上工作时的浮点近似问题,我们将连续几何转化为离散组合结构,并为该离散化建立明确条件,以保证所计算辫单值群的拓扑正确性。

英文摘要

Computing braid monodromy is a key tool for studying the topology of algebraic curves in the complex projective plane $\mathbb{P}^2$. We present an algorithm, named LA-MOKA, to compute this invariant in the specific case of complex line arrangements. To safely manage the problem of floating-point approximations when working over number fields, we translate the continuous geometry into a discrete combinatorial structure. We establish explicit conditions on this discretization that guarantee the topological correctness of the computed braid monodromy.

Comments13 pages, 3 Figures and 1 Tables

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