Finding joint pmfs from marginal pmfs












1












$begingroup$


Let a, b > 0. The random variables X and Y are independent and their densities are :



f(x) = 1/gamma(a)*x^(x-1)*e^-x, x>= 0



f(y) = 1/gamma(b)*y^(b-1)*e^-y, y>= 0



Let U=X+Y and V=X/X+Y



Find the joint density of U and V and show they are independent.



So far I have found J(u,v) to find the determinant is -u. I'm confused how to plug this into the marginal pdfs to find the joint pdfs.










share|cite|improve this question









$endgroup$

















    1












    $begingroup$


    Let a, b > 0. The random variables X and Y are independent and their densities are :



    f(x) = 1/gamma(a)*x^(x-1)*e^-x, x>= 0



    f(y) = 1/gamma(b)*y^(b-1)*e^-y, y>= 0



    Let U=X+Y and V=X/X+Y



    Find the joint density of U and V and show they are independent.



    So far I have found J(u,v) to find the determinant is -u. I'm confused how to plug this into the marginal pdfs to find the joint pdfs.










    share|cite|improve this question









    $endgroup$















      1












      1








      1


      1



      $begingroup$


      Let a, b > 0. The random variables X and Y are independent and their densities are :



      f(x) = 1/gamma(a)*x^(x-1)*e^-x, x>= 0



      f(y) = 1/gamma(b)*y^(b-1)*e^-y, y>= 0



      Let U=X+Y and V=X/X+Y



      Find the joint density of U and V and show they are independent.



      So far I have found J(u,v) to find the determinant is -u. I'm confused how to plug this into the marginal pdfs to find the joint pdfs.










      share|cite|improve this question









      $endgroup$




      Let a, b > 0. The random variables X and Y are independent and their densities are :



      f(x) = 1/gamma(a)*x^(x-1)*e^-x, x>= 0



      f(y) = 1/gamma(b)*y^(b-1)*e^-y, y>= 0



      Let U=X+Y and V=X/X+Y



      Find the joint density of U and V and show they are independent.



      So far I have found J(u,v) to find the determinant is -u. I'm confused how to plug this into the marginal pdfs to find the joint pdfs.







      probability-distributions






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      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Nov 14 '13 at 4:16









      fredfred

      1615




      1615






















          1 Answer
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          0












          $begingroup$

          Firstly, when working with absolutely continuous distributions (those with densities), you refer to the density as the pdf (probability density function), not the pmf (probability mass function [used when there are "masses" at singletons]).



          The change of variables formula tells us that
          $$
          f_{(U,V)}(u,v)=f_{(X,Y)}(x,y)|det frac{d(x,y)}{d(u,v)}| = f_X(x)f_Y(y)cdot|-u|.
          $$
          where he we have used the fact that $f_{(X,Y)}=f_Xf_Y$ by independence of $X,Y$.
          Write $x$ and $y$ in terms of $u,v$ and plug them into the $x,y$ in the above formula. You will find that $f_{(U,V)}$ will end up being the product of two familiar looking densities $h_1(u),h_2(v)$. It then immediately follows that $f_U = h_1, f_V = h_2$ and so $f_{(U,V)} = f_U f_V$ which tells us that $U,V$ are independent.



          Can you run through the calculation and see what $h_1,h_2$ appear?



          Edit: Note that $frac{d(x,y)}{d(u,v)}=J(u,v)$ is meant to be evaluated at $(u,v)$.



          Hint 1: $x=uv, y=u(1-v)$, and you correctly calculated $J(u,v)=-u$. Plugging into the densities I am getting
          $$
          f_{(U,V)}(u,v) = left{begin{array}{cc}
          &
          begin{array}{cc}
          frac{e^{-u} (u v)^{a-1} (u(1-v))^b}{(1-v) Gamma (a) Gamma (b)} & 0leq uv,0leq u(1-v) \
          0 & text{else} \
          end{array}
          \
          end{array}right.
          $$
          Do you see what $h_1,h_2$ are now?






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            yes thank you for the help.
            $endgroup$
            – fred
            Nov 14 '13 at 4:42










          • $begingroup$
            Nevermind I'm not sure exactly what h1 and h2 are. Do they have something to do with the gamma function?
            $endgroup$
            – fred
            Nov 14 '13 at 5:01










          • $begingroup$
            Your PDFs are supposed to be $Gamma(a,1),Gamma(b,1)$, correct? You made a typo in the first one writing $x^{x-1}$ instead of $x^{a-1}$.
            $endgroup$
            – nullUser
            Nov 14 '13 at 5:14










          • $begingroup$
            yes that is correct
            $endgroup$
            – fred
            Nov 14 '13 at 5:18











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          1 Answer
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          active

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          0












          $begingroup$

          Firstly, when working with absolutely continuous distributions (those with densities), you refer to the density as the pdf (probability density function), not the pmf (probability mass function [used when there are "masses" at singletons]).



          The change of variables formula tells us that
          $$
          f_{(U,V)}(u,v)=f_{(X,Y)}(x,y)|det frac{d(x,y)}{d(u,v)}| = f_X(x)f_Y(y)cdot|-u|.
          $$
          where he we have used the fact that $f_{(X,Y)}=f_Xf_Y$ by independence of $X,Y$.
          Write $x$ and $y$ in terms of $u,v$ and plug them into the $x,y$ in the above formula. You will find that $f_{(U,V)}$ will end up being the product of two familiar looking densities $h_1(u),h_2(v)$. It then immediately follows that $f_U = h_1, f_V = h_2$ and so $f_{(U,V)} = f_U f_V$ which tells us that $U,V$ are independent.



          Can you run through the calculation and see what $h_1,h_2$ appear?



          Edit: Note that $frac{d(x,y)}{d(u,v)}=J(u,v)$ is meant to be evaluated at $(u,v)$.



          Hint 1: $x=uv, y=u(1-v)$, and you correctly calculated $J(u,v)=-u$. Plugging into the densities I am getting
          $$
          f_{(U,V)}(u,v) = left{begin{array}{cc}
          &
          begin{array}{cc}
          frac{e^{-u} (u v)^{a-1} (u(1-v))^b}{(1-v) Gamma (a) Gamma (b)} & 0leq uv,0leq u(1-v) \
          0 & text{else} \
          end{array}
          \
          end{array}right.
          $$
          Do you see what $h_1,h_2$ are now?






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            yes thank you for the help.
            $endgroup$
            – fred
            Nov 14 '13 at 4:42










          • $begingroup$
            Nevermind I'm not sure exactly what h1 and h2 are. Do they have something to do with the gamma function?
            $endgroup$
            – fred
            Nov 14 '13 at 5:01










          • $begingroup$
            Your PDFs are supposed to be $Gamma(a,1),Gamma(b,1)$, correct? You made a typo in the first one writing $x^{x-1}$ instead of $x^{a-1}$.
            $endgroup$
            – nullUser
            Nov 14 '13 at 5:14










          • $begingroup$
            yes that is correct
            $endgroup$
            – fred
            Nov 14 '13 at 5:18
















          0












          $begingroup$

          Firstly, when working with absolutely continuous distributions (those with densities), you refer to the density as the pdf (probability density function), not the pmf (probability mass function [used when there are "masses" at singletons]).



          The change of variables formula tells us that
          $$
          f_{(U,V)}(u,v)=f_{(X,Y)}(x,y)|det frac{d(x,y)}{d(u,v)}| = f_X(x)f_Y(y)cdot|-u|.
          $$
          where he we have used the fact that $f_{(X,Y)}=f_Xf_Y$ by independence of $X,Y$.
          Write $x$ and $y$ in terms of $u,v$ and plug them into the $x,y$ in the above formula. You will find that $f_{(U,V)}$ will end up being the product of two familiar looking densities $h_1(u),h_2(v)$. It then immediately follows that $f_U = h_1, f_V = h_2$ and so $f_{(U,V)} = f_U f_V$ which tells us that $U,V$ are independent.



          Can you run through the calculation and see what $h_1,h_2$ appear?



          Edit: Note that $frac{d(x,y)}{d(u,v)}=J(u,v)$ is meant to be evaluated at $(u,v)$.



          Hint 1: $x=uv, y=u(1-v)$, and you correctly calculated $J(u,v)=-u$. Plugging into the densities I am getting
          $$
          f_{(U,V)}(u,v) = left{begin{array}{cc}
          &
          begin{array}{cc}
          frac{e^{-u} (u v)^{a-1} (u(1-v))^b}{(1-v) Gamma (a) Gamma (b)} & 0leq uv,0leq u(1-v) \
          0 & text{else} \
          end{array}
          \
          end{array}right.
          $$
          Do you see what $h_1,h_2$ are now?






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            yes thank you for the help.
            $endgroup$
            – fred
            Nov 14 '13 at 4:42










          • $begingroup$
            Nevermind I'm not sure exactly what h1 and h2 are. Do they have something to do with the gamma function?
            $endgroup$
            – fred
            Nov 14 '13 at 5:01










          • $begingroup$
            Your PDFs are supposed to be $Gamma(a,1),Gamma(b,1)$, correct? You made a typo in the first one writing $x^{x-1}$ instead of $x^{a-1}$.
            $endgroup$
            – nullUser
            Nov 14 '13 at 5:14










          • $begingroup$
            yes that is correct
            $endgroup$
            – fred
            Nov 14 '13 at 5:18














          0












          0








          0





          $begingroup$

          Firstly, when working with absolutely continuous distributions (those with densities), you refer to the density as the pdf (probability density function), not the pmf (probability mass function [used when there are "masses" at singletons]).



          The change of variables formula tells us that
          $$
          f_{(U,V)}(u,v)=f_{(X,Y)}(x,y)|det frac{d(x,y)}{d(u,v)}| = f_X(x)f_Y(y)cdot|-u|.
          $$
          where he we have used the fact that $f_{(X,Y)}=f_Xf_Y$ by independence of $X,Y$.
          Write $x$ and $y$ in terms of $u,v$ and plug them into the $x,y$ in the above formula. You will find that $f_{(U,V)}$ will end up being the product of two familiar looking densities $h_1(u),h_2(v)$. It then immediately follows that $f_U = h_1, f_V = h_2$ and so $f_{(U,V)} = f_U f_V$ which tells us that $U,V$ are independent.



          Can you run through the calculation and see what $h_1,h_2$ appear?



          Edit: Note that $frac{d(x,y)}{d(u,v)}=J(u,v)$ is meant to be evaluated at $(u,v)$.



          Hint 1: $x=uv, y=u(1-v)$, and you correctly calculated $J(u,v)=-u$. Plugging into the densities I am getting
          $$
          f_{(U,V)}(u,v) = left{begin{array}{cc}
          &
          begin{array}{cc}
          frac{e^{-u} (u v)^{a-1} (u(1-v))^b}{(1-v) Gamma (a) Gamma (b)} & 0leq uv,0leq u(1-v) \
          0 & text{else} \
          end{array}
          \
          end{array}right.
          $$
          Do you see what $h_1,h_2$ are now?






          share|cite|improve this answer











          $endgroup$



          Firstly, when working with absolutely continuous distributions (those with densities), you refer to the density as the pdf (probability density function), not the pmf (probability mass function [used when there are "masses" at singletons]).



          The change of variables formula tells us that
          $$
          f_{(U,V)}(u,v)=f_{(X,Y)}(x,y)|det frac{d(x,y)}{d(u,v)}| = f_X(x)f_Y(y)cdot|-u|.
          $$
          where he we have used the fact that $f_{(X,Y)}=f_Xf_Y$ by independence of $X,Y$.
          Write $x$ and $y$ in terms of $u,v$ and plug them into the $x,y$ in the above formula. You will find that $f_{(U,V)}$ will end up being the product of two familiar looking densities $h_1(u),h_2(v)$. It then immediately follows that $f_U = h_1, f_V = h_2$ and so $f_{(U,V)} = f_U f_V$ which tells us that $U,V$ are independent.



          Can you run through the calculation and see what $h_1,h_2$ appear?



          Edit: Note that $frac{d(x,y)}{d(u,v)}=J(u,v)$ is meant to be evaluated at $(u,v)$.



          Hint 1: $x=uv, y=u(1-v)$, and you correctly calculated $J(u,v)=-u$. Plugging into the densities I am getting
          $$
          f_{(U,V)}(u,v) = left{begin{array}{cc}
          &
          begin{array}{cc}
          frac{e^{-u} (u v)^{a-1} (u(1-v))^b}{(1-v) Gamma (a) Gamma (b)} & 0leq uv,0leq u(1-v) \
          0 & text{else} \
          end{array}
          \
          end{array}right.
          $$
          Do you see what $h_1,h_2$ are now?







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Nov 14 '13 at 5:55









          Did

          248k23224463




          248k23224463










          answered Nov 14 '13 at 4:37









          nullUsernullUser

          16.7k442104




          16.7k442104












          • $begingroup$
            yes thank you for the help.
            $endgroup$
            – fred
            Nov 14 '13 at 4:42










          • $begingroup$
            Nevermind I'm not sure exactly what h1 and h2 are. Do they have something to do with the gamma function?
            $endgroup$
            – fred
            Nov 14 '13 at 5:01










          • $begingroup$
            Your PDFs are supposed to be $Gamma(a,1),Gamma(b,1)$, correct? You made a typo in the first one writing $x^{x-1}$ instead of $x^{a-1}$.
            $endgroup$
            – nullUser
            Nov 14 '13 at 5:14










          • $begingroup$
            yes that is correct
            $endgroup$
            – fred
            Nov 14 '13 at 5:18


















          • $begingroup$
            yes thank you for the help.
            $endgroup$
            – fred
            Nov 14 '13 at 4:42










          • $begingroup$
            Nevermind I'm not sure exactly what h1 and h2 are. Do they have something to do with the gamma function?
            $endgroup$
            – fred
            Nov 14 '13 at 5:01










          • $begingroup$
            Your PDFs are supposed to be $Gamma(a,1),Gamma(b,1)$, correct? You made a typo in the first one writing $x^{x-1}$ instead of $x^{a-1}$.
            $endgroup$
            – nullUser
            Nov 14 '13 at 5:14










          • $begingroup$
            yes that is correct
            $endgroup$
            – fred
            Nov 14 '13 at 5:18
















          $begingroup$
          yes thank you for the help.
          $endgroup$
          – fred
          Nov 14 '13 at 4:42




          $begingroup$
          yes thank you for the help.
          $endgroup$
          – fred
          Nov 14 '13 at 4:42












          $begingroup$
          Nevermind I'm not sure exactly what h1 and h2 are. Do they have something to do with the gamma function?
          $endgroup$
          – fred
          Nov 14 '13 at 5:01




          $begingroup$
          Nevermind I'm not sure exactly what h1 and h2 are. Do they have something to do with the gamma function?
          $endgroup$
          – fred
          Nov 14 '13 at 5:01












          $begingroup$
          Your PDFs are supposed to be $Gamma(a,1),Gamma(b,1)$, correct? You made a typo in the first one writing $x^{x-1}$ instead of $x^{a-1}$.
          $endgroup$
          – nullUser
          Nov 14 '13 at 5:14




          $begingroup$
          Your PDFs are supposed to be $Gamma(a,1),Gamma(b,1)$, correct? You made a typo in the first one writing $x^{x-1}$ instead of $x^{a-1}$.
          $endgroup$
          – nullUser
          Nov 14 '13 at 5:14












          $begingroup$
          yes that is correct
          $endgroup$
          – fred
          Nov 14 '13 at 5:18




          $begingroup$
          yes that is correct
          $endgroup$
          – fred
          Nov 14 '13 at 5:18


















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