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arXiv 1302.6676math.GR
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随机编织物的Normal forms

Normal forms of random braids

Volker Gebhardt, Stephen Tawn

摘要:

分析随机辫子的规范型的统计性质,我们发现,除了初始区域和最终区域的长度是一致有界的(即,这个界与辫子的长度无关),足够长的随机辫子的规范型的因子分布既不依赖于在规范型中的位置,也不依赖于随机辫子的长度.此外,当乘以右边的辫子时,被修改的标准形式的因子的预期数量,称为“预期穿透距离”,是一致有界的。我们解释这些意见,通过分析的增长率的两个正规语言的正常形式的元素Garside组,分别修改的正常形式的右乘法。一个普遍的约束上的预期的渗透距离在Garside组产生特别是一个算法,用于计算规范形式,具有线性预期的运行时间。

英文摘要:

Analysing statistical properties of the normal forms of random braids, we observe that, except for an initial and a final region whose lengths are uniformly bounded (that is, the bound is independent of the length of the braid), the distributions of the factors of the normal form of sufficiently long random braids depend neither on the position in the normal form nor on the lengths of the random braids. Moreover, when multiplying a braid on the right, the expected number of factors in its normal form that are modified, called the "expected penetration distance", is uniformly bounded. We explain these observations by analysing the growth rates of two regular languages associated to normal forms of elements of Garside groups, respectively to the modification of a normal form by right multiplication. A universal bound on the expected penetration distance in a Garside group yields in particular an algorithm for computing normal forms that has linear expected running time.

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