Probability of a machine working at certain time












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This question arises while I am learning Continuous Time Markov Chain :




A machine is working for an exponential time with rate $mu$ before breaking
down. The repair time of the machine is exponentially distributed with rate $lambda$. Find the probability that the machine is working at a certain time $T$.




Note : The pdf of an exponentially distributed random variable with rate $lambda$ is $lambda e^{-lambda x}$



My idea is to conditioning on what time the machine starts breaking down and all I get is
$$ P[text{Machine working at time $T$}] = int_0^T P[text{Machine working at time T} | text{Machine is breaking down at $x$}] mu e^{-mu x} ~ dx $$
and I couldn't proceed any further.



Any ideas on how to solve it? Thanks!










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    0














    This question arises while I am learning Continuous Time Markov Chain :




    A machine is working for an exponential time with rate $mu$ before breaking
    down. The repair time of the machine is exponentially distributed with rate $lambda$. Find the probability that the machine is working at a certain time $T$.




    Note : The pdf of an exponentially distributed random variable with rate $lambda$ is $lambda e^{-lambda x}$



    My idea is to conditioning on what time the machine starts breaking down and all I get is
    $$ P[text{Machine working at time $T$}] = int_0^T P[text{Machine working at time T} | text{Machine is breaking down at $x$}] mu e^{-mu x} ~ dx $$
    and I couldn't proceed any further.



    Any ideas on how to solve it? Thanks!










    share|cite|improve this question

























      0












      0








      0







      This question arises while I am learning Continuous Time Markov Chain :




      A machine is working for an exponential time with rate $mu$ before breaking
      down. The repair time of the machine is exponentially distributed with rate $lambda$. Find the probability that the machine is working at a certain time $T$.




      Note : The pdf of an exponentially distributed random variable with rate $lambda$ is $lambda e^{-lambda x}$



      My idea is to conditioning on what time the machine starts breaking down and all I get is
      $$ P[text{Machine working at time $T$}] = int_0^T P[text{Machine working at time T} | text{Machine is breaking down at $x$}] mu e^{-mu x} ~ dx $$
      and I couldn't proceed any further.



      Any ideas on how to solve it? Thanks!










      share|cite|improve this question













      This question arises while I am learning Continuous Time Markov Chain :




      A machine is working for an exponential time with rate $mu$ before breaking
      down. The repair time of the machine is exponentially distributed with rate $lambda$. Find the probability that the machine is working at a certain time $T$.




      Note : The pdf of an exponentially distributed random variable with rate $lambda$ is $lambda e^{-lambda x}$



      My idea is to conditioning on what time the machine starts breaking down and all I get is
      $$ P[text{Machine working at time $T$}] = int_0^T P[text{Machine working at time T} | text{Machine is breaking down at $x$}] mu e^{-mu x} ~ dx $$
      and I couldn't proceed any further.



      Any ideas on how to solve it? Thanks!







      statistics markov-chains exponential-distribution






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      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Dec 9 at 8:38









      Ricky The Ising

      414




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