On strong ergodicity for nonhomogeneous continuous-time Markov chains

On $L_1$-weak ergodicity of nonhomogeneous continuous-time Markov‎ ‎processes

‎In the present paper we investigate the $L_1$-weak ergodicity of‎ ‎nonhomogeneous continuous-time Markov processes with general state‎ ‎spaces‎. ‎We provide a necessary and sufficient condition for such‎ ‎processes to satisfy the $L_1$-weak ergodicity‎. ‎Moreover‎, ‎we apply‎ ‎the obtained results to establish $L_1$-weak ergodicity of quadratic‎ ‎stochastic processes‎.

on $l_1$-weak ergodicity of nonhomogeneous continuous-time markov‎ ‎processes

‎in the present paper we investigate the $l_1$-weak ergodicity of‎ ‎nonhomogeneous continuous-time markov processes with general state‎ ‎spaces‎. ‎we provide a necessary and sufficient condition for such‎ ‎processes to satisfy the $l_1$-weak ergodicity‎. ‎moreover‎, ‎we apply‎ ‎the obtained results to establish $l_1$-weak ergodicity of quadratic‎ ‎stochastic processes‎.

Discrete Time Markov Chains : Ergodicity Theory

Lecture 8: Discrete Time Markov Chains: Ergodicity Theory Announcements: 1. We handed out HW2 solutions and your homeworks in Friday’s recitation. I am handing out a few extras today. Please make sure you get these! 2. Remember that I now have office hours both: Wednesday at 3 p.m. and Thursday at 4 p.m. Please show up and ask questions about the lecture notes, not just the homework! No one cam...

Continuous Time Markov Chains

Discrete-time Markov chains are useful in simulation, since updating algorithms are easier to construct in discrete steps. They can also be useful as crude models of physical, biological, and social processes. However, in the physical and biological worlds time runs continuously, and so discrete-time mathematical models are not always appropriate. This is especially true in population biology –...

Continuous-time Markov Chains