arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 2602.16625math.CO
收藏

强布雷特顺序中随机排列的可比性

Comparability of random permutations in the strong Bruhat order

University of Illinois Chicago(伊利诺伊大学芝加哥分校);Northwestern University(西北大学)

Nicholas Christo, Marcus Michelen

AI总结:

研究随机排列在强布雷特顺序中的可比性,证明其概率下降速度比多项式更快,达到亚指数级别。

摘要:

排列的(强)布雷特顺序提供了一种偏序关系,定义为:两个排列如果可以通过一系列相邻交换得到,且每次交换都增加一个逆序数,则它们是可比的。给定两个随机排列,它们在布雷特顺序中可比的概率是多少?这个问题最初由Hammett和Pittel在2006年的工作中考虑,他们展示了指数下界和多项式上界。最近,Boretsky、Cornejo、Hodges、Horn、Lesnevich和McAllister将下界改进为亚指数下界exp(-n^{1/2 + o(1)})。Hammett和Pittel预测概率应以多项式方式下降。我们证明概率下降速度比任何多项式更快,并且其规模为exp(-Θ(log²n))。

英文摘要:

The (strong) Bruhat order for permutations provides a partial ordering defined as follows: two permutations are comparable if one can be obtained from the other by a sequence of adjacent transpositions that each increase the number of inversions by $1$. Given two random permutations, what is the probability that they are comparable in the Bruhat order? This problem was first considered in a 2006 work of Hammett and Pittel, which showed an exponential lower bound and a polynomial upper bound. The lower bound was very recently improved to the subexponential bound of $\exp(-n^{1/2 + o(1)})$ by Boretsky, Cornejo, Hodges, Horn, Lesnevich, and McAllister. Hammett and Pittel predicted that the probability should decrease polynomially. We show that the probability decreases faster than any polynomial and is on the order of $\exp(-Θ(\log^2 n))$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑