关于随机映射的最深循环

IF 0.9 2区 数学 Q2 MATHEMATICS Journal of Combinatorial Theory Series A Pub Date : 2024-02-22 DOI:10.1016/j.jcta.2024.105875
Ljuben Mutafchiev , Steven Finch
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引用次数: 0

摘要

设 Tn 是所有映射 T:{1,2,...,n}→{1,2,...,n} 的集合。T 的对应图是互不相连的单环部分的联合。我们假设每个 T∈Tn 都是均匀随机选择的(即概率为 n-n)。T 的最大分量所包含的循环称为最深循环。对于任意 T∈Tn,让 νn=νn(T) 表示这个循环的长度。在本文中,我们建立了 νn/n 分布的收敛性,并找到了其期望和方差随 n→∞ 的极限。对于足够大的 n,我们还证明了在随机映射 T∈Tn 的所有循环顶点中,有近 55% 的顶点位于其最深的循环中,并且 T 最长循环中的顶点不属于其最大分量的概率近似为 0.075。
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On the deepest cycle of a random mapping

Let Tn be the set of all mappings T:{1,2,,n}{1,2,,n}. The corresponding graph of T is a union of disjoint connected unicyclic components. We assume that each TTn is chosen uniformly at random (i.e., with probability nn). The cycle of T contained within its largest component is called the deepest one. For any TTn, let νn=νn(T) denote the length of this cycle. In this paper, we establish the convergence in distribution of νn/n and find the limits of its expectation and variance as n. For n large enough, we also show that nearly 55% of all cyclic vertices of a random mapping TTn lie in its deepest cycle and that a vertex from the longest cycle of T does not belong to its largest component with approximate probability 0.075.

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来源期刊
CiteScore
2.90
自引率
9.10%
发文量
94
审稿时长
12 months
期刊介绍: The Journal of Combinatorial Theory publishes original mathematical research concerned with theoretical and physical aspects of the study of finite and discrete structures in all branches of science. Series A is concerned primarily with structures, designs, and applications of combinatorics and is a valuable tool for mathematicians and computer scientists.
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