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For the Markov chain given below what is the best way to find the probability P{$x_n = x_{n-1}$} and P{$x_n \neq x_{n-1}$}

The transition matrix of the chain is \begin{array}{} 1/3 & 2/3 & 0 \\ 0 & 2/3 & 1/3 \\ 0 & 2/3 & 1/3 \end{array}

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For every state $x$, $P(x_1=x\mid x_0=x)=\frac13$, hence $P(x_n=x_{n-1})=\frac13$ and $P(x_n\ne x_{n-1})=\frac23$, for every initial distribution and every $n$.

Did
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  • thanks, but what if the probabilities are not same, what do we do then (like they are 2/3 for $p_{00}$ and 1/3 for the rest) – user143234 Apr 15 '14 at 07:32
  • This is another question: then one must compute $P(x_n=0)$ first, and that depends on the initial distribution. – Did Apr 15 '14 at 07:33