自由群子群的中心树性质和算法问题

Pub Date : 2024-02-13 DOI:10.1515/jgth-2023-0050
Mallika Roy, Enric Ventura, Pascal Weil
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引用次数: 0

摘要

我们研究了自由群子群统一成员问题的平均复杂度,结果表明,它比已知最佳算法的最坏复杂度小几个数量级。这既适用于由固定数量的生成子给出的子群,也适用于由指数数量的生成子给出的子群。这一结果背后的主要思想是利用了词元组的一个通用属性,即中心树属性。该算法的平均复杂度是一个常数,只取决于周围自由群的秩。
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The central tree property and algorithmic problems on subgroups of free groups
We study the average case complexity of the Uniform Membership Problem for subgroups of free groups, and we show that it is orders of magnitude smaller than the worst case complexity of the best known algorithms. This applies to subgroups given by a fixed number of generators as well as to subgroups given by an exponential number of generators. The main idea behind this result is to exploit a generic property of tuples of words, called the central tree property. An application is given to the average case complexity of the Relative Primitivity Problem, using Shpilrain’s recent algorithm to decide primitivity, whose average case complexity is a constant depending only on the rank of the ambient free group.
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