Heat kernel estimates for subordinate Markov processes and their applications

In this paper, we establish sharp two-sided estimates for transition densities of a large class of subordinate Markov processes. As applications, we show that the parabolic Harnack inequality and H\"older regularity hold for parabolic functions of such processes, and derive sharp two-sided Green function estimates.
Comment: 43 pages : Some heat kernel estimates are written in different forms