Sp. Meyn et Rl. Tweedie, STABILITY OF MARKOVIAN PROCESSES .3. FOSTER-LYAPUNOV CRITERIA FOR CONTINUOUS-TIME PROCESSES, Advances in Applied Probability, 25(3), 1993, pp. 518-548
In Part I we developed stability concepts for discrete chains, togethe
r with Foster-Lyapunov criteria for them to hold. Part II was devoted
to developing related stability concepts for continuous-time processes
. In this paper we develop criteria for these forms of stability for c
ontinuous-parameter Markovian processes on general state spaces, based
on Foster-Lyapunov inequalities for the extended generator. Such test
function criteria are found for non-explosivity, non-evanescence, Har
ris recurrence, and positive Harris recurrence. These results are prov
ed by systematic application of Dynkin's formula. We also strengthen k
nown ergodic theorems, and especially exponential ergodic results, for
continuous-time processes. In particular we are able to show that the
test function approach provides a criterion for f-norm convergence, a
nd bounding constants for such convergence in the exponential ergodic
case. We apply the criteria to several specific processes, including l
inear stochastic systems under non-linear feedback, work-modulated que
ues, general release storage processes and risk processes.