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A computer server is checked every hour. Its status can be
Operational (O)
or
Under Maintenance (M)
.
Studies show that:
If the server is Operational, there is a \(10\pourcent\) chance it will be Under Maintenance by the next hour.
If the server is Under Maintenance, there is a \(30\pourcent\) chance it will become Operational again by the next hour.
Let \(X_n\) be the state of the server at hour \(n\).
Justify that the sequence \((X_n)\) forms a time-homogeneous Markov chain.
Identify the state space \(E\) and determine the transition probabilities \(p_{ij}\) for \(i, j \in E\).
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