Ewens Sampling and Invariable Generation
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Published:2018-04-12
Issue:6
Volume:27
Page:853-891
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ISSN:0963-5483
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Container-title:Combinatorics, Probability and Computing
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language:en
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Short-container-title:Combinator. Probab. Comp.
Author:
BRITO GERANDY,FOWLER CHRISTOPHER,JUNGE MATTHEW,LEVY AVI
Abstract
We study the number of random permutations needed to invariably generate the symmetric group Sn when the distribution of cycle counts has the strong α-logarithmic property. The canonical example is the Ewens sampling formula, for which the special case α = 1 corresponds to uniformly random permutations.For strong α-logarithmic measures and almost every α, we show that precisely ⌈(1−αlog2)−1⌉ permutations are needed to invariably generate Sn with asymptotically positive probability. A corollary is that for many other probability measures on Sn no fixed number of permutations will invariably generate Sn with positive probability. Along the way we generalize classic theorems of Erdős, Tehran, Pyber, Łuczak and Bovey to permutations obtained from the Ewens sampling formula.
Publisher
Cambridge University Press (CUP)
Subject
Applied Mathematics,Computational Theory and Mathematics,Statistics and Probability,Theoretical Computer Science
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