Finding an expected value [duplicate]











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  • Compute the mean of $(1 + X)^{-1}$ where $X$ is Poisson$(lambda)$

    3 answers




Below is a problem that I did from Chapter 4 of the book "Intoduction to Probability Theory". The book was written by Hoel, Port and Stone. The answer I got is wrong. I would like to know what I
did wrong.

Thanks,

Bob



Problem:
Let $X$ be a Poisson with parameter $lambda$. Compute the mean of
$(1+X)^{-1}$.

Answer:

The density function for the Poisson distribution is:
$$f(x) = frac{lambda^x e ^ {-x}}{x!}$$
Let $u$ be the mean that we seek.
begin{eqnarray*}
u &=& sum_{x = 0}^{infty} frac{lambda^x e ^ {-x}}{x!((1+x))} =
sum_{x = 0}^{infty} frac{lambda^x e ^ {-x}}{(x+1)!} \
u &=& sum_{x = 1}^{infty} frac{lambda^x e ^ {-(x-1)}}{(x)!} \
u &=& sum_{x = 1}^{infty} frac{lambda^x e ^ {-x + 1}}{(x)!} \
u &=& e sum_{x = 1}^{infty} frac{lambda^x e ^ {-x}}{(x)!} \
end{eqnarray*}

Observe that when $lambda$ is very large that $u$ is very large. Therefore, I conclude
that I am already wrong. The books answer is:
$$ lambda^{-1}(1-e^{-lambda}) $$










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marked as duplicate by StubbornAtom, Lord Shark the Unknown, Trevor Gunn, Gibbs, Shailesh Nov 17 at 0:05


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  • 1




    There are many books of this title. Who wrote it?
    – Sean Roberson
    Nov 15 at 23:40















up vote
2
down vote

favorite













This question already has an answer here:




  • Compute the mean of $(1 + X)^{-1}$ where $X$ is Poisson$(lambda)$

    3 answers




Below is a problem that I did from Chapter 4 of the book "Intoduction to Probability Theory". The book was written by Hoel, Port and Stone. The answer I got is wrong. I would like to know what I
did wrong.

Thanks,

Bob



Problem:
Let $X$ be a Poisson with parameter $lambda$. Compute the mean of
$(1+X)^{-1}$.

Answer:

The density function for the Poisson distribution is:
$$f(x) = frac{lambda^x e ^ {-x}}{x!}$$
Let $u$ be the mean that we seek.
begin{eqnarray*}
u &=& sum_{x = 0}^{infty} frac{lambda^x e ^ {-x}}{x!((1+x))} =
sum_{x = 0}^{infty} frac{lambda^x e ^ {-x}}{(x+1)!} \
u &=& sum_{x = 1}^{infty} frac{lambda^x e ^ {-(x-1)}}{(x)!} \
u &=& sum_{x = 1}^{infty} frac{lambda^x e ^ {-x + 1}}{(x)!} \
u &=& e sum_{x = 1}^{infty} frac{lambda^x e ^ {-x}}{(x)!} \
end{eqnarray*}

Observe that when $lambda$ is very large that $u$ is very large. Therefore, I conclude
that I am already wrong. The books answer is:
$$ lambda^{-1}(1-e^{-lambda}) $$










share|cite|improve this question















marked as duplicate by StubbornAtom, Lord Shark the Unknown, Trevor Gunn, Gibbs, Shailesh Nov 17 at 0:05


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.











  • 1




    There are many books of this title. Who wrote it?
    – Sean Roberson
    Nov 15 at 23:40













up vote
2
down vote

favorite









up vote
2
down vote

favorite












This question already has an answer here:




  • Compute the mean of $(1 + X)^{-1}$ where $X$ is Poisson$(lambda)$

    3 answers




Below is a problem that I did from Chapter 4 of the book "Intoduction to Probability Theory". The book was written by Hoel, Port and Stone. The answer I got is wrong. I would like to know what I
did wrong.

Thanks,

Bob



Problem:
Let $X$ be a Poisson with parameter $lambda$. Compute the mean of
$(1+X)^{-1}$.

Answer:

The density function for the Poisson distribution is:
$$f(x) = frac{lambda^x e ^ {-x}}{x!}$$
Let $u$ be the mean that we seek.
begin{eqnarray*}
u &=& sum_{x = 0}^{infty} frac{lambda^x e ^ {-x}}{x!((1+x))} =
sum_{x = 0}^{infty} frac{lambda^x e ^ {-x}}{(x+1)!} \
u &=& sum_{x = 1}^{infty} frac{lambda^x e ^ {-(x-1)}}{(x)!} \
u &=& sum_{x = 1}^{infty} frac{lambda^x e ^ {-x + 1}}{(x)!} \
u &=& e sum_{x = 1}^{infty} frac{lambda^x e ^ {-x}}{(x)!} \
end{eqnarray*}

Observe that when $lambda$ is very large that $u$ is very large. Therefore, I conclude
that I am already wrong. The books answer is:
$$ lambda^{-1}(1-e^{-lambda}) $$










share|cite|improve this question
















This question already has an answer here:




  • Compute the mean of $(1 + X)^{-1}$ where $X$ is Poisson$(lambda)$

    3 answers




Below is a problem that I did from Chapter 4 of the book "Intoduction to Probability Theory". The book was written by Hoel, Port and Stone. The answer I got is wrong. I would like to know what I
did wrong.

Thanks,

Bob



Problem:
Let $X$ be a Poisson with parameter $lambda$. Compute the mean of
$(1+X)^{-1}$.

Answer:

The density function for the Poisson distribution is:
$$f(x) = frac{lambda^x e ^ {-x}}{x!}$$
Let $u$ be the mean that we seek.
begin{eqnarray*}
u &=& sum_{x = 0}^{infty} frac{lambda^x e ^ {-x}}{x!((1+x))} =
sum_{x = 0}^{infty} frac{lambda^x e ^ {-x}}{(x+1)!} \
u &=& sum_{x = 1}^{infty} frac{lambda^x e ^ {-(x-1)}}{(x)!} \
u &=& sum_{x = 1}^{infty} frac{lambda^x e ^ {-x + 1}}{(x)!} \
u &=& e sum_{x = 1}^{infty} frac{lambda^x e ^ {-x}}{(x)!} \
end{eqnarray*}

Observe that when $lambda$ is very large that $u$ is very large. Therefore, I conclude
that I am already wrong. The books answer is:
$$ lambda^{-1}(1-e^{-lambda}) $$





This question already has an answer here:




  • Compute the mean of $(1 + X)^{-1}$ where $X$ is Poisson$(lambda)$

    3 answers








probability






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edited Nov 15 at 23:58

























asked Nov 15 at 23:31









Bob

840514




840514




marked as duplicate by StubbornAtom, Lord Shark the Unknown, Trevor Gunn, Gibbs, Shailesh Nov 17 at 0:05


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.






marked as duplicate by StubbornAtom, Lord Shark the Unknown, Trevor Gunn, Gibbs, Shailesh Nov 17 at 0:05


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.










  • 1




    There are many books of this title. Who wrote it?
    – Sean Roberson
    Nov 15 at 23:40














  • 1




    There are many books of this title. Who wrote it?
    – Sean Roberson
    Nov 15 at 23:40








1




1




There are many books of this title. Who wrote it?
– Sean Roberson
Nov 15 at 23:40




There are many books of this title. Who wrote it?
– Sean Roberson
Nov 15 at 23:40










3 Answers
3






active

oldest

votes

















up vote
0
down vote



accepted










The Poisson distribution is



$$f(x) = frac{lambda^x e ^ {-{color{red}{lambda}}}}{x!}, x in mathbb{N}. $$



Therefore, the expected value $u$ of $(1+X)^{-1}$ is:



$$u = sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{x!(1+x)} = e ^ {-lambda}sum_{x = 0}^{infty} frac{lambda^x}{(1+x)!}.$$



Now, do a substitution $t = x+1$:



$$u = e ^ {-lambda}sum_{t = 1}^{infty} frac{lambda^{t-1} }{t!} = frac{e^{-lambda}}{lambda}sum_{t = 1}^{infty} frac{lambda^{t}}{t!} = frac{e^{-lambda}}{lambda}left(sum_{t = 0}^{infty} frac{lambda^{t}}{t!} - 1right).$$



It is well-known that:



$$sum_{t = 0}^{infty} frac{lambda^{t} }{t!} = e^{lambda}.$$



You can check this fact here.



Finally:



$$u = frac{e^{-lambda}}{lambda}(e^{lambda}-1) = frac{1}{lambda}(1-e^{-lambda}) = lambda^{-1}(1-e^{-lambda}).$$






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    up vote
    1
    down vote













    Your $f(x)$ is not correct. The term $e^{-x}$ should be $e^{-lambda}$.



    From your first line to the second, when you offset $x$ by $1$, you should have $lambda^{x-1}$ in the numerator. That would lead you to pull a factor $lambda^{-1}$ out of the sum, fixing that part.



    Then the final sum would be $1$ if it went from $0$ to $infty$, so it is $1$ minus the $x=0$ term giving $1-e^{-lambda}$






    share|cite|improve this answer




























      up vote
      0
      down vote













      begin{eqnarray*}
      u &=& sum_{x = 0}^{infty} frac{lambda^x e ^ {-color{red}{lambda}}}{x!((1+x))}\ &=&
      sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{(x+1)!} \
      &=& sum_{x = 1}^{infty} frac{lambda^{x-1} e ^ {-lambda}}{x!} \
      &=& frac 1lambdasum_{x = 1}^{infty} frac{lambda^x e ^ {-lambda}}{x!}
      \ &=& frac 1lambdaleft(sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{x!}-e^{-lambda}right) \ &vdots&
      end{eqnarray*}






      share|cite|improve this answer






























        3 Answers
        3






        active

        oldest

        votes








        3 Answers
        3






        active

        oldest

        votes









        active

        oldest

        votes






        active

        oldest

        votes








        up vote
        0
        down vote



        accepted










        The Poisson distribution is



        $$f(x) = frac{lambda^x e ^ {-{color{red}{lambda}}}}{x!}, x in mathbb{N}. $$



        Therefore, the expected value $u$ of $(1+X)^{-1}$ is:



        $$u = sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{x!(1+x)} = e ^ {-lambda}sum_{x = 0}^{infty} frac{lambda^x}{(1+x)!}.$$



        Now, do a substitution $t = x+1$:



        $$u = e ^ {-lambda}sum_{t = 1}^{infty} frac{lambda^{t-1} }{t!} = frac{e^{-lambda}}{lambda}sum_{t = 1}^{infty} frac{lambda^{t}}{t!} = frac{e^{-lambda}}{lambda}left(sum_{t = 0}^{infty} frac{lambda^{t}}{t!} - 1right).$$



        It is well-known that:



        $$sum_{t = 0}^{infty} frac{lambda^{t} }{t!} = e^{lambda}.$$



        You can check this fact here.



        Finally:



        $$u = frac{e^{-lambda}}{lambda}(e^{lambda}-1) = frac{1}{lambda}(1-e^{-lambda}) = lambda^{-1}(1-e^{-lambda}).$$






        share|cite|improve this answer

























          up vote
          0
          down vote



          accepted










          The Poisson distribution is



          $$f(x) = frac{lambda^x e ^ {-{color{red}{lambda}}}}{x!}, x in mathbb{N}. $$



          Therefore, the expected value $u$ of $(1+X)^{-1}$ is:



          $$u = sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{x!(1+x)} = e ^ {-lambda}sum_{x = 0}^{infty} frac{lambda^x}{(1+x)!}.$$



          Now, do a substitution $t = x+1$:



          $$u = e ^ {-lambda}sum_{t = 1}^{infty} frac{lambda^{t-1} }{t!} = frac{e^{-lambda}}{lambda}sum_{t = 1}^{infty} frac{lambda^{t}}{t!} = frac{e^{-lambda}}{lambda}left(sum_{t = 0}^{infty} frac{lambda^{t}}{t!} - 1right).$$



          It is well-known that:



          $$sum_{t = 0}^{infty} frac{lambda^{t} }{t!} = e^{lambda}.$$



          You can check this fact here.



          Finally:



          $$u = frac{e^{-lambda}}{lambda}(e^{lambda}-1) = frac{1}{lambda}(1-e^{-lambda}) = lambda^{-1}(1-e^{-lambda}).$$






          share|cite|improve this answer























            up vote
            0
            down vote



            accepted







            up vote
            0
            down vote



            accepted






            The Poisson distribution is



            $$f(x) = frac{lambda^x e ^ {-{color{red}{lambda}}}}{x!}, x in mathbb{N}. $$



            Therefore, the expected value $u$ of $(1+X)^{-1}$ is:



            $$u = sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{x!(1+x)} = e ^ {-lambda}sum_{x = 0}^{infty} frac{lambda^x}{(1+x)!}.$$



            Now, do a substitution $t = x+1$:



            $$u = e ^ {-lambda}sum_{t = 1}^{infty} frac{lambda^{t-1} }{t!} = frac{e^{-lambda}}{lambda}sum_{t = 1}^{infty} frac{lambda^{t}}{t!} = frac{e^{-lambda}}{lambda}left(sum_{t = 0}^{infty} frac{lambda^{t}}{t!} - 1right).$$



            It is well-known that:



            $$sum_{t = 0}^{infty} frac{lambda^{t} }{t!} = e^{lambda}.$$



            You can check this fact here.



            Finally:



            $$u = frac{e^{-lambda}}{lambda}(e^{lambda}-1) = frac{1}{lambda}(1-e^{-lambda}) = lambda^{-1}(1-e^{-lambda}).$$






            share|cite|improve this answer












            The Poisson distribution is



            $$f(x) = frac{lambda^x e ^ {-{color{red}{lambda}}}}{x!}, x in mathbb{N}. $$



            Therefore, the expected value $u$ of $(1+X)^{-1}$ is:



            $$u = sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{x!(1+x)} = e ^ {-lambda}sum_{x = 0}^{infty} frac{lambda^x}{(1+x)!}.$$



            Now, do a substitution $t = x+1$:



            $$u = e ^ {-lambda}sum_{t = 1}^{infty} frac{lambda^{t-1} }{t!} = frac{e^{-lambda}}{lambda}sum_{t = 1}^{infty} frac{lambda^{t}}{t!} = frac{e^{-lambda}}{lambda}left(sum_{t = 0}^{infty} frac{lambda^{t}}{t!} - 1right).$$



            It is well-known that:



            $$sum_{t = 0}^{infty} frac{lambda^{t} }{t!} = e^{lambda}.$$



            You can check this fact here.



            Finally:



            $$u = frac{e^{-lambda}}{lambda}(e^{lambda}-1) = frac{1}{lambda}(1-e^{-lambda}) = lambda^{-1}(1-e^{-lambda}).$$







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Nov 15 at 23:45









            the_candyman

            8,54921944




            8,54921944






















                up vote
                1
                down vote













                Your $f(x)$ is not correct. The term $e^{-x}$ should be $e^{-lambda}$.



                From your first line to the second, when you offset $x$ by $1$, you should have $lambda^{x-1}$ in the numerator. That would lead you to pull a factor $lambda^{-1}$ out of the sum, fixing that part.



                Then the final sum would be $1$ if it went from $0$ to $infty$, so it is $1$ minus the $x=0$ term giving $1-e^{-lambda}$






                share|cite|improve this answer

























                  up vote
                  1
                  down vote













                  Your $f(x)$ is not correct. The term $e^{-x}$ should be $e^{-lambda}$.



                  From your first line to the second, when you offset $x$ by $1$, you should have $lambda^{x-1}$ in the numerator. That would lead you to pull a factor $lambda^{-1}$ out of the sum, fixing that part.



                  Then the final sum would be $1$ if it went from $0$ to $infty$, so it is $1$ minus the $x=0$ term giving $1-e^{-lambda}$






                  share|cite|improve this answer























                    up vote
                    1
                    down vote










                    up vote
                    1
                    down vote









                    Your $f(x)$ is not correct. The term $e^{-x}$ should be $e^{-lambda}$.



                    From your first line to the second, when you offset $x$ by $1$, you should have $lambda^{x-1}$ in the numerator. That would lead you to pull a factor $lambda^{-1}$ out of the sum, fixing that part.



                    Then the final sum would be $1$ if it went from $0$ to $infty$, so it is $1$ minus the $x=0$ term giving $1-e^{-lambda}$






                    share|cite|improve this answer












                    Your $f(x)$ is not correct. The term $e^{-x}$ should be $e^{-lambda}$.



                    From your first line to the second, when you offset $x$ by $1$, you should have $lambda^{x-1}$ in the numerator. That would lead you to pull a factor $lambda^{-1}$ out of the sum, fixing that part.



                    Then the final sum would be $1$ if it went from $0$ to $infty$, so it is $1$ minus the $x=0$ term giving $1-e^{-lambda}$







                    share|cite|improve this answer












                    share|cite|improve this answer



                    share|cite|improve this answer










                    answered Nov 15 at 23:41









                    Ross Millikan

                    287k23195364




                    287k23195364






















                        up vote
                        0
                        down vote













                        begin{eqnarray*}
                        u &=& sum_{x = 0}^{infty} frac{lambda^x e ^ {-color{red}{lambda}}}{x!((1+x))}\ &=&
                        sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{(x+1)!} \
                        &=& sum_{x = 1}^{infty} frac{lambda^{x-1} e ^ {-lambda}}{x!} \
                        &=& frac 1lambdasum_{x = 1}^{infty} frac{lambda^x e ^ {-lambda}}{x!}
                        \ &=& frac 1lambdaleft(sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{x!}-e^{-lambda}right) \ &vdots&
                        end{eqnarray*}






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                          up vote
                          0
                          down vote













                          begin{eqnarray*}
                          u &=& sum_{x = 0}^{infty} frac{lambda^x e ^ {-color{red}{lambda}}}{x!((1+x))}\ &=&
                          sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{(x+1)!} \
                          &=& sum_{x = 1}^{infty} frac{lambda^{x-1} e ^ {-lambda}}{x!} \
                          &=& frac 1lambdasum_{x = 1}^{infty} frac{lambda^x e ^ {-lambda}}{x!}
                          \ &=& frac 1lambdaleft(sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{x!}-e^{-lambda}right) \ &vdots&
                          end{eqnarray*}






                          share|cite|improve this answer

























                            up vote
                            0
                            down vote










                            up vote
                            0
                            down vote









                            begin{eqnarray*}
                            u &=& sum_{x = 0}^{infty} frac{lambda^x e ^ {-color{red}{lambda}}}{x!((1+x))}\ &=&
                            sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{(x+1)!} \
                            &=& sum_{x = 1}^{infty} frac{lambda^{x-1} e ^ {-lambda}}{x!} \
                            &=& frac 1lambdasum_{x = 1}^{infty} frac{lambda^x e ^ {-lambda}}{x!}
                            \ &=& frac 1lambdaleft(sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{x!}-e^{-lambda}right) \ &vdots&
                            end{eqnarray*}






                            share|cite|improve this answer














                            begin{eqnarray*}
                            u &=& sum_{x = 0}^{infty} frac{lambda^x e ^ {-color{red}{lambda}}}{x!((1+x))}\ &=&
                            sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{(x+1)!} \
                            &=& sum_{x = 1}^{infty} frac{lambda^{x-1} e ^ {-lambda}}{x!} \
                            &=& frac 1lambdasum_{x = 1}^{infty} frac{lambda^x e ^ {-lambda}}{x!}
                            \ &=& frac 1lambdaleft(sum_{x = 0}^{infty} frac{lambda^x e ^ {-lambda}}{x!}-e^{-lambda}right) \ &vdots&
                            end{eqnarray*}







                            share|cite|improve this answer














                            share|cite|improve this answer



                            share|cite|improve this answer








                            edited Nov 15 at 23:48

























                            answered Nov 15 at 23:42









                            Graham Kemp

                            84k43378




                            84k43378















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