On quasi successful couplings of Markov processes
  The notion of a successful coupling of Markov processes, based on the idea that both components of the coupled system ``intersect'' in finite time with probability one, is extended to cover situations when the coupling is unnecessarily Markovian and its components are only converging (in a certain sense) to each other with time. Under these assumptions the unique ergodicity of the original Markov process is proven. A price for this generalization is the weak convergence to the unique invariant measure instead of the strong one. Applying these ideas to infinite interacting particle systems we consider even more involved situations when the unique ergodicity can be proven only for a restriction of the original system to a certain class of initial distributions (e.g. translational invariant ones). Questions about the existence of invariant measures with a given particle density are discussed as well. 
Michael Blank, Sergey Pirogov