Abstract

The order On(σ) of a permutation σ of n objects is the smallest integer k≥1 such that the k-th iterate of σ gives the identity. A remarkable result about the order of a uniformly chosen permutation is due to Erdos and Turan who proved in 1965 that logOn satisfies a central limit theorem. We extend this result to the so-called generalized Ewens measure in a previous paper. In this paper, we establish a local limit theorem as well as, under some extra moment condition, a precise large deviations estimate. These properties are new even for the uniform measure. Furthermore, we provide precise large deviations estimates for random permutations with polynomial cycle weights.

Highlights

  • Denote by Sn the symmetric group, that is the group of permutations on n objects

  • We present large deviations estimates and a local limit theorem for log On which are, to our knowledge, new even for the uniform measure

  • We focus on random permutations with cycle weights as introduced in the recent works of Betz et al [3] and Ercolani and Ueltschi [7]

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Summary

Introduction

Denote by Sn the symmetric group, that is the group of permutations on n objects. For a permutation σ ∈ Sn the order On = On(σ) is defined as the smallest integer k such that the k-th iterate of σ is the identity. In this paper we study the random variable log On with respect to a weighted measure. Many properties of permutations considered with respect to this weighted measure have been examined for different classes of parameters, see for instance [3, 7, 11, 15, 16, 17, 18, 19]. We proved that the cycle counts of the cycles of length smaller than a typical cycle in this model can be decoupled into independent Poisson random variables Using this approximation, we extended the Erdös-Turán law (1.1) to this setting as well as a functional version of it.

Generalities
The approximation random variable log Yn
Number theoretic sums
The generalized Ewens measure
Preliminaries
The truncated order
A local limit theorem for log On
Large deviations estimates for log On
Expected value of the logarithm of a truncated order
Expected value of log On

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