A Sample Path Proof of the Duality for Stochastically Monotone Markov Processes
Peter Clifford, Aidan W. Sudbury · The Annals of Probability · 1985
This paper provides an explanation of Siegmund's duality for absorbing and reflecting Markov processes by means of a graphical representation of the type used in the analysis of infinite particle systems. It is shown that coupled realisations of a Markov process conditioned to start at each of the points of the state space can be generated on the same probability space in such a way that their ordering is preserved. Using the same probability space a specific construction is then given for the dual process.