2004/03/16 by Nathanaël Berestycki, Nathanael Berestycki, Rick Durrett +2
Computer Science · Mathematics · #05C80 #60F05 #60G50 #Algorithms and Data Compression #Bayesian Methods and Mixture Models #Combinatorics #Combinatorics (math.CO) #Condensed matter physics #Discrete mathematics #FOS: Mathematics #Geometry #Graph #Identity (music) #Mathematics #Permutation (music) #Phase transition #Physics #Probability (math.PR) #Random graph #Random permutation #Random walk #Statistics #Stochastic processes and statistical mechanics #Sublinear function #Symmetric group #Transposition (logic) #math.CO #math.PR #msc:05C80 #msc:60F05 #msc:60G50
paper · pdf · doi:10.48550/arxiv.math/0403259
Revisions include considerable changes in the presentation of section 6 (proof of the CLT in the supercritical regime), and several typos corrected. Also, the figures are now available as a separate .ps file
openalex publication_date 2004/03/16 · arxiv created 2004/10/14 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Our work is motivated by Bourque and Pevzner's (2002) simulation study of the effectiveness of the parsimony method in studying genome rearrangement, and leads to a surprising result about the random transposition walk on the group of permutations on n elements. Consider this walk in continuous time starting at the identity and let Dt be the minimum number of transpositions needed to go back to the identity from the location at time t. Dt undergoes a phase transition: the distance Dcn/2 ∼ u(c)n, where u is an explicit function satisfying u(c)=c/2 for c ≤ 1 and u(c)1. In other words, the distance to the identity is roughly linear during the subcritical phase, and after critical time n/2 it becomes sublinear. In addition, we describe the fluctuations of Dcn/2 about its mean in each of the threeregimes (subcritical, critical and supercritical). The techniques used involve viewing the cycles in the random permutation as a coagulation-fragmentation process and relating the behavior to the \Erdős-Renyi random graph model.