Clustering of consecutive numbers in permutations under Mallows distributions and super-clustering under general $p$-shifted distributions
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Publication:6347209
DOI10.1214/22-EJP812arXiv2008.07215MaRDI QIDQ6347209
Publication date: 17 August 2020
Abstract: Let denote the set of permutations of for which the set of consecutive numbers appears in a set of consecutive positions. Under the uniformly probability measure on , one has as . In one part of this paper we consider the probability of clustering of consecutive numbers under Mallows distributions , . Because of a duality, it suffices to consider . We show that for , with and , is on the order , uniformly over all sequences . Thus, letting denote the number of sets of consecutive numbers appearing in sets of consecutive positions, we have �egin{equation*} lim_{n oinfty} E_n^{q_n}N^{(n)}_l = �egin{cases}infty, ext{if} l<frac{1+alpha}alpha;\ 0, ext{if} l>frac{1+alpha}alpha. end{cases}. end{equation*} We also consider the cases and . In the other part of the paper we consider general -shifted distributions, of which the Mallows distribution is a particular case. We calculate explicitly the quantity in terms of the -distribution. When this quantity is positive, we say that super-clustering occurs. In particular, super-clustering occurs for the Mallows distribution with parameter . We also give a new characterization of -shifted distributions.
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