Rank-driven Markov processes

Michael Grinfeld, Philip A. Knight, Andrew R. Wade

We study a class of Markovian systems of $N$ elements taking values in $[0,1]$ that evolve in discrete time $t$ via randomized replacement rules based on the ranks of the elements.…