I do not understand how may I use the Markov Chain $Y$ and and describe the system $X$ using the states that the exercise suggest. I was searching queue's examples and -i understand this is a M/M/1 queue but I'm stuck in how I use the $Q$-matrix to describe the system. The new state space are the couples $(A_k,B_k)$? . Thanks for your support.
Customers arrive at a certain queue in a Poisson process of rate $\lambda$. The single 'server' has two states $A$ and $B$, state $A$ signifying that he is 'in attendance' and state $B$ that he is having a tea-break. Independently of how many customers are in the queue, he fluctuates between these states as a Markov chain $Y$ on $\{A,B\}$ with $Q$ -matrix \begin{equation*} \begin{pmatrix} -\alpha & \alpha \\ \beta & -\beta\\ \end{pmatrix} \end{equation*} The total service time for any costumer is exponentially distributed with parameter $\mu$ and is independent of the chain $Y$ and of the service times of other customers. Describe the system as a Markov chain $X$ with the state-space \begin{equation*} \{A_0,A_1,A_2,\dots\} \cup\{B_0,B_1,B_2,\dots\}, \end{equation*} $A_n$ signifying that the server is in state $A$ and there are $n$ people in the queue (including anyone being served) and $B_n$ signifying that the server is in state $B$ and there are $n$ people in the queue.