In this paper, states of denumerable and nonhomogeneous Markov Processes are divided into stationary and instantaneous, while theorems in pp. 144-160 in[1] are extended to denumerable and nonhomogeneous Markov processes. Moreover, it is shown that states of nonhomogeneous Markov processes in abstract space can be divided in similar manner, and some theorems of sample functions of denumerable and nonhomogeneous Markov processes can be extended to nonhomogeneous Markov processes in abstract space. |