Markov process
A Markov process is called a "reversible Markov process" or "reversible Markov chain" if it satisfies the detailed balance equations. These equations require that the transition probability matrix, "P", for the Markov process possess a stationary distribution (i.e. equilibrium probability distribution) π such that