Probability Density Function of Random Variable












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I have the jump Markov process $(N_z)_{zgeq0}$ which behaves like a symmetric random walk on teh set of positive integers. For $z$ large enough, $N_z=0$ where $0$ is an absorbing state. I now define a random variable:



$T_infty = 2int_{0}^{infty}N_z dz$



I want to write the probability density function $P^{infty}_p$ of the random variable $T_infty$, with the initial condition $N_0 = p$. I then want to show it satisfies the differential equation



$frac{dP^{infty}_p}{dtau} = frac{p}{2}(P^{infty}_{p+1}-2P^{infty}_p)+P^{infty}_{p-1}),$ where $pgeq1.$



How do I tackle this?










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    I have the jump Markov process $(N_z)_{zgeq0}$ which behaves like a symmetric random walk on teh set of positive integers. For $z$ large enough, $N_z=0$ where $0$ is an absorbing state. I now define a random variable:



    $T_infty = 2int_{0}^{infty}N_z dz$



    I want to write the probability density function $P^{infty}_p$ of the random variable $T_infty$, with the initial condition $N_0 = p$. I then want to show it satisfies the differential equation



    $frac{dP^{infty}_p}{dtau} = frac{p}{2}(P^{infty}_{p+1}-2P^{infty}_p)+P^{infty}_{p-1}),$ where $pgeq1.$



    How do I tackle this?










    share|cite|improve this question

























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      0







      I have the jump Markov process $(N_z)_{zgeq0}$ which behaves like a symmetric random walk on teh set of positive integers. For $z$ large enough, $N_z=0$ where $0$ is an absorbing state. I now define a random variable:



      $T_infty = 2int_{0}^{infty}N_z dz$



      I want to write the probability density function $P^{infty}_p$ of the random variable $T_infty$, with the initial condition $N_0 = p$. I then want to show it satisfies the differential equation



      $frac{dP^{infty}_p}{dtau} = frac{p}{2}(P^{infty}_{p+1}-2P^{infty}_p)+P^{infty}_{p-1}),$ where $pgeq1.$



      How do I tackle this?










      share|cite|improve this question













      I have the jump Markov process $(N_z)_{zgeq0}$ which behaves like a symmetric random walk on teh set of positive integers. For $z$ large enough, $N_z=0$ where $0$ is an absorbing state. I now define a random variable:



      $T_infty = 2int_{0}^{infty}N_z dz$



      I want to write the probability density function $P^{infty}_p$ of the random variable $T_infty$, with the initial condition $N_0 = p$. I then want to show it satisfies the differential equation



      $frac{dP^{infty}_p}{dtau} = frac{p}{2}(P^{infty}_{p+1}-2P^{infty}_p)+P^{infty}_{p-1}),$ where $pgeq1.$



      How do I tackle this?







      calculus probability differential-equations random-variables






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      asked Nov 20 at 11:34









      kroneckerdel69

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