Generating function from recurrence relation of binomial distribution












0














Hello i have given recurrence like this :



$$p_{n,k}=(1-q)p_{n-1,k-1}+qp_{n-1,k}$$



my question is how to get (step by step) generating function from this recurrence?



we know that it's some king of distribution and from how it looks we can say it's binomial distribution.










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  • Which kind of generating function do you want? Probability, moment, cumulant?
    – J.G.
    Nov 28 '18 at 10:02










  • i think Probability would be the best one
    – Gokuruto
    Nov 28 '18 at 10:15
















0














Hello i have given recurrence like this :



$$p_{n,k}=(1-q)p_{n-1,k-1}+qp_{n-1,k}$$



my question is how to get (step by step) generating function from this recurrence?



we know that it's some king of distribution and from how it looks we can say it's binomial distribution.










share|cite|improve this question






















  • Which kind of generating function do you want? Probability, moment, cumulant?
    – J.G.
    Nov 28 '18 at 10:02










  • i think Probability would be the best one
    – Gokuruto
    Nov 28 '18 at 10:15














0












0








0







Hello i have given recurrence like this :



$$p_{n,k}=(1-q)p_{n-1,k-1}+qp_{n-1,k}$$



my question is how to get (step by step) generating function from this recurrence?



we know that it's some king of distribution and from how it looks we can say it's binomial distribution.










share|cite|improve this question













Hello i have given recurrence like this :



$$p_{n,k}=(1-q)p_{n-1,k-1}+qp_{n-1,k}$$



my question is how to get (step by step) generating function from this recurrence?



we know that it's some king of distribution and from how it looks we can say it's binomial distribution.







recurrence-relations generating-functions recursive-algorithms






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Nov 28 '18 at 9:58









Gokuruto

123




123












  • Which kind of generating function do you want? Probability, moment, cumulant?
    – J.G.
    Nov 28 '18 at 10:02










  • i think Probability would be the best one
    – Gokuruto
    Nov 28 '18 at 10:15


















  • Which kind of generating function do you want? Probability, moment, cumulant?
    – J.G.
    Nov 28 '18 at 10:02










  • i think Probability would be the best one
    – Gokuruto
    Nov 28 '18 at 10:15
















Which kind of generating function do you want? Probability, moment, cumulant?
– J.G.
Nov 28 '18 at 10:02




Which kind of generating function do you want? Probability, moment, cumulant?
– J.G.
Nov 28 '18 at 10:02












i think Probability would be the best one
– Gokuruto
Nov 28 '18 at 10:15




i think Probability would be the best one
– Gokuruto
Nov 28 '18 at 10:15










1 Answer
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The probability generating function is $G_n(t):=sum_{k=0}^n p_{n,,k}t^k$, so $G_0=1$ and for $nge 1$ we have $$G_n(t)=q^n+sum_{k=1}^n ((1-q)p_{n-1,,k-1}+qp_{n-1,,k})t^k\=q^n+(1-q)tG_{n-1}(t)+q(G_{n-1}(t)-q^{n-1})\=(q+(1-q)t)G_{n-1}(t).$$Hence $G_n(t)=(q+(1-q)t)^n$ for all $n$.






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    1 Answer
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    The probability generating function is $G_n(t):=sum_{k=0}^n p_{n,,k}t^k$, so $G_0=1$ and for $nge 1$ we have $$G_n(t)=q^n+sum_{k=1}^n ((1-q)p_{n-1,,k-1}+qp_{n-1,,k})t^k\=q^n+(1-q)tG_{n-1}(t)+q(G_{n-1}(t)-q^{n-1})\=(q+(1-q)t)G_{n-1}(t).$$Hence $G_n(t)=(q+(1-q)t)^n$ for all $n$.






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      The probability generating function is $G_n(t):=sum_{k=0}^n p_{n,,k}t^k$, so $G_0=1$ and for $nge 1$ we have $$G_n(t)=q^n+sum_{k=1}^n ((1-q)p_{n-1,,k-1}+qp_{n-1,,k})t^k\=q^n+(1-q)tG_{n-1}(t)+q(G_{n-1}(t)-q^{n-1})\=(q+(1-q)t)G_{n-1}(t).$$Hence $G_n(t)=(q+(1-q)t)^n$ for all $n$.






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        The probability generating function is $G_n(t):=sum_{k=0}^n p_{n,,k}t^k$, so $G_0=1$ and for $nge 1$ we have $$G_n(t)=q^n+sum_{k=1}^n ((1-q)p_{n-1,,k-1}+qp_{n-1,,k})t^k\=q^n+(1-q)tG_{n-1}(t)+q(G_{n-1}(t)-q^{n-1})\=(q+(1-q)t)G_{n-1}(t).$$Hence $G_n(t)=(q+(1-q)t)^n$ for all $n$.






        share|cite|improve this answer












        The probability generating function is $G_n(t):=sum_{k=0}^n p_{n,,k}t^k$, so $G_0=1$ and for $nge 1$ we have $$G_n(t)=q^n+sum_{k=1}^n ((1-q)p_{n-1,,k-1}+qp_{n-1,,k})t^k\=q^n+(1-q)tG_{n-1}(t)+q(G_{n-1}(t)-q^{n-1})\=(q+(1-q)t)G_{n-1}(t).$$Hence $G_n(t)=(q+(1-q)t)^n$ for all $n$.







        share|cite|improve this answer












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        share|cite|improve this answer










        answered Nov 28 '18 at 10:28









        J.G.

        23k22137




        23k22137






























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