Why are the rows of the table linearly dependent for two independent RVs?












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I don't understand why the rows of this joint-distribution table are dependent for two, independent RVs.



What's the intuition here?










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  • 2




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    Hint: $X$ and $Y$ are independent iff the joint density is the product of the marginal densities.
    $endgroup$
    – Math1000
    Dec 20 '18 at 3:33
















0












$begingroup$


enter image description here



I don't understand why the rows of this joint-distribution table are dependent for two, independent RVs.



What's the intuition here?










share|cite|improve this question









$endgroup$








  • 2




    $begingroup$
    Hint: $X$ and $Y$ are independent iff the joint density is the product of the marginal densities.
    $endgroup$
    – Math1000
    Dec 20 '18 at 3:33














0












0








0





$begingroup$


enter image description here



I don't understand why the rows of this joint-distribution table are dependent for two, independent RVs.



What's the intuition here?










share|cite|improve this question









$endgroup$




enter image description here



I don't understand why the rows of this joint-distribution table are dependent for two, independent RVs.



What's the intuition here?







probability-distributions random-variables






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asked Dec 20 '18 at 3:12









mitmath514mitmath514

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  • 2




    $begingroup$
    Hint: $X$ and $Y$ are independent iff the joint density is the product of the marginal densities.
    $endgroup$
    – Math1000
    Dec 20 '18 at 3:33














  • 2




    $begingroup$
    Hint: $X$ and $Y$ are independent iff the joint density is the product of the marginal densities.
    $endgroup$
    – Math1000
    Dec 20 '18 at 3:33








2




2




$begingroup$
Hint: $X$ and $Y$ are independent iff the joint density is the product of the marginal densities.
$endgroup$
– Math1000
Dec 20 '18 at 3:33




$begingroup$
Hint: $X$ and $Y$ are independent iff the joint density is the product of the marginal densities.
$endgroup$
– Math1000
Dec 20 '18 at 3:33










1 Answer
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The key is what Math1000 says in the comments. We have $f_{XY}(x,y) = f_X(x)f_Y(y).$ A row of the table is for constant $x,$ so we have $$ f_{XY}(0, y) = f_X(0) f_Y(y)\ f_{XY}(1, y) = f_X(1) f_Y(y)$$ etc, so for instance $$ f_{XY}(0,y) = frac{f_X(1)}{f_X(0)}f_{XY}(1,y).$$



Some lingering questions:




  1. What if $f_X(i)=0$ for some or several $i$?

  2. This only shows one direction. How do you show that if the rows of the table are proportional, then $X$ and $Y$ are independent?






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    0












    $begingroup$

    The key is what Math1000 says in the comments. We have $f_{XY}(x,y) = f_X(x)f_Y(y).$ A row of the table is for constant $x,$ so we have $$ f_{XY}(0, y) = f_X(0) f_Y(y)\ f_{XY}(1, y) = f_X(1) f_Y(y)$$ etc, so for instance $$ f_{XY}(0,y) = frac{f_X(1)}{f_X(0)}f_{XY}(1,y).$$



    Some lingering questions:




    1. What if $f_X(i)=0$ for some or several $i$?

    2. This only shows one direction. How do you show that if the rows of the table are proportional, then $X$ and $Y$ are independent?






    share|cite|improve this answer









    $endgroup$


















      0












      $begingroup$

      The key is what Math1000 says in the comments. We have $f_{XY}(x,y) = f_X(x)f_Y(y).$ A row of the table is for constant $x,$ so we have $$ f_{XY}(0, y) = f_X(0) f_Y(y)\ f_{XY}(1, y) = f_X(1) f_Y(y)$$ etc, so for instance $$ f_{XY}(0,y) = frac{f_X(1)}{f_X(0)}f_{XY}(1,y).$$



      Some lingering questions:




      1. What if $f_X(i)=0$ for some or several $i$?

      2. This only shows one direction. How do you show that if the rows of the table are proportional, then $X$ and $Y$ are independent?






      share|cite|improve this answer









      $endgroup$
















        0












        0








        0





        $begingroup$

        The key is what Math1000 says in the comments. We have $f_{XY}(x,y) = f_X(x)f_Y(y).$ A row of the table is for constant $x,$ so we have $$ f_{XY}(0, y) = f_X(0) f_Y(y)\ f_{XY}(1, y) = f_X(1) f_Y(y)$$ etc, so for instance $$ f_{XY}(0,y) = frac{f_X(1)}{f_X(0)}f_{XY}(1,y).$$



        Some lingering questions:




        1. What if $f_X(i)=0$ for some or several $i$?

        2. This only shows one direction. How do you show that if the rows of the table are proportional, then $X$ and $Y$ are independent?






        share|cite|improve this answer









        $endgroup$



        The key is what Math1000 says in the comments. We have $f_{XY}(x,y) = f_X(x)f_Y(y).$ A row of the table is for constant $x,$ so we have $$ f_{XY}(0, y) = f_X(0) f_Y(y)\ f_{XY}(1, y) = f_X(1) f_Y(y)$$ etc, so for instance $$ f_{XY}(0,y) = frac{f_X(1)}{f_X(0)}f_{XY}(1,y).$$



        Some lingering questions:




        1. What if $f_X(i)=0$ for some or several $i$?

        2. This only shows one direction. How do you show that if the rows of the table are proportional, then $X$ and $Y$ are independent?







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 20 '18 at 5:42









        spaceisdarkgreenspaceisdarkgreen

        33.8k21753




        33.8k21753






























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