Module 1:Concepts of Random walks, Markov Chains, Markov Processes
  Lecture 3:Markov Chains
 


Assignments 1.4



Let , where , then prove that


Assignments 1.5

Consider a Markov chain and it has  number of states, then prove
(a) If a state  can be reached from state , then it can be reached in  steps or less.
(b) If  is a recurrent state, then there exits  such that , the probability that first return to state  occurs after  transition is