A phase transition in the random transposition random walk
Nathanaël Berestycki, Rick Durrett
Abstract
Our work is motivated by Bourque-Pevzner's simulation study of the effectiveness of the parsimony method in studying genome rearrangement, and leads to a surprising result about the random transposition walk in continuous time on the group of permutations on n elements starting from the identity. Let
D
be the minimum number of transpositions needed to go back to the identity element from the location at time t
t
. D
undergoes a phase transition: for t
0 < c ≤ 1
, the distance D
, i.e., the distance increases linearly with time; for cn/2
~ cn/2c > 1
, D
where cn/2
~ u(c)n u
is an explicit function satisfying u(x)<x/2
. Moreover we describe the fluctuations of D
about its mean at each of the three stages (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-Rényi random graph model.
cn/2
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