We analyze the convergence to stationarity of a simple nonreversible Markov
chain that serves as a model for several nonreversible Markov chain sampli
ng methods that are used in practice. Our theoretical and numerical results
show that nonreversibility can indeed lead to improvements over the diffus
ive behavior of simple Markov chain sampling schemes. The analysis uses bot
h probabilistic techniques and an explicit diagonalization.