  We consider the extreme value statistics of centrally-biased random walks
with asymptotically-zero drift in the ergodic regime. We fully characterize the
asymptotic distribution of the maximum for this class of Markov chains lacking
translational invariance, with a particular emphasis on the relation between
the time scaling of the expected value of the maximum and the stationary
distribution of the process.
