DMTCS Proceedings, Discrete Random Walks, DRW'03

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
t
be the minimum number of transpositions needed to go back to the identity element from the location at time
t
.
D
t
undergoes a phase transition: for
0 < c ≤ 1
, the distance
D
cn/2
~ cn/2
, i.e., the distance increases linearly with time; for
c > 1
,
D
cn/2
~ u(c)n
where
u
is an explicit function satisfying
u(x)<x/2
. Moreover we describe the fluctuations of
D
cn/2
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.

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