I am having problems with a probability/stochastic process question regarding discrete markov chains. I get the intuition behind the questions, but I am unsure on how to prove them. P is a finite transition matrix.
Question:
Let P have a finite state space of size N + 1. Suppose that P is
irreducible. Let «i» and «j
» be a fixed and different states.
Prove that Pij(n) > 0 for some n ≤ N.
Prove that Pii(n) > 0 for some n ≤ N + 1.
The state j is said to be accessible from a state I usually denoted as i->j ,if there exist some n>=0
Pin(n) =p(Xn=j/X0=I)>0
That is one can get from the state i to the state j in n steps with probability pin(n) . If both i->j hold true then the state I and j communicate
Let I annd j be two distinct a area of Markov chain
For example
We have finite irreducible like tpm this ,
P=1/2 1/2
1/2 1/2
P00(1)= 1/2 , P00(2)=1/4, P00(3)=1/8 , P00(4)= 1/16
P11(1)= 1/2 , P11(2)= 1/4 ,P00(3)= 1/8 , P00(4)= 1/16
And
P01(1)= 1/2 , P01(2)= 1/4 ,P01(3)= 1/8 ,P01(4)=1/16
Similar for P10(n)= 1/2^i ..where n=1,2,3,4 and I =1,2,3,4
Hence we can say that for finite irreducible Markov chain
Pij(n)>0 for some n>=N
And Pii(n)>0 for some n>=N+1
E
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