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

Few more examples of recurrent Markov Chains

Example 1.18

Consider again the simple case when a drunkard is moving one step right with probability , and one step to the left with probability , such that



Hence we have:

(i) ,


(ii)