A random variable in a denominator












0












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For some random variable $X$ & $Y$, I need to calculate the pdf of $Z=frac{X}{Y}$. I've managed to calculate $$F_Z(t)=mathbb{P}left(frac{X}{Y}leq tright)=mathbb{P}(Xleq tcdot Y),,$$ but I didn't treat to the necessity of $Yne 0$. In what way in the answer should I treat this necessity?










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  • 1




    $begingroup$
    What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
    $endgroup$
    – Song
    Dec 14 '18 at 20:16






  • 1




    $begingroup$
    What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
    $endgroup$
    – Song
    Dec 14 '18 at 20:16
















0












$begingroup$


For some random variable $X$ & $Y$, I need to calculate the pdf of $Z=frac{X}{Y}$. I've managed to calculate $$F_Z(t)=mathbb{P}left(frac{X}{Y}leq tright)=mathbb{P}(Xleq tcdot Y),,$$ but I didn't treat to the necessity of $Yne 0$. In what way in the answer should I treat this necessity?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
    $endgroup$
    – Song
    Dec 14 '18 at 20:16






  • 1




    $begingroup$
    What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
    $endgroup$
    – Song
    Dec 14 '18 at 20:16














0












0








0





$begingroup$


For some random variable $X$ & $Y$, I need to calculate the pdf of $Z=frac{X}{Y}$. I've managed to calculate $$F_Z(t)=mathbb{P}left(frac{X}{Y}leq tright)=mathbb{P}(Xleq tcdot Y),,$$ but I didn't treat to the necessity of $Yne 0$. In what way in the answer should I treat this necessity?










share|cite|improve this question











$endgroup$




For some random variable $X$ & $Y$, I need to calculate the pdf of $Z=frac{X}{Y}$. I've managed to calculate $$F_Z(t)=mathbb{P}left(frac{X}{Y}leq tright)=mathbb{P}(Xleq tcdot Y),,$$ but I didn't treat to the necessity of $Yne 0$. In what way in the answer should I treat this necessity?







probability probability-distributions random-variables fractions random-functions






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edited Dec 14 '18 at 21:58









Batominovski

33k33293




33k33293










asked Dec 14 '18 at 19:42









J. DoeJ. Doe

14510




14510








  • 1




    $begingroup$
    What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
    $endgroup$
    – Song
    Dec 14 '18 at 20:16






  • 1




    $begingroup$
    What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
    $endgroup$
    – Song
    Dec 14 '18 at 20:16














  • 1




    $begingroup$
    What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
    $endgroup$
    – Song
    Dec 14 '18 at 20:16






  • 1




    $begingroup$
    What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
    $endgroup$
    – Song
    Dec 14 '18 at 20:16








1




1




$begingroup$
What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
$endgroup$
– Song
Dec 14 '18 at 20:16




$begingroup$
What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
$endgroup$
– Song
Dec 14 '18 at 20:16




1




1




$begingroup$
What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
$endgroup$
– Song
Dec 14 '18 at 20:16




$begingroup$
What you should show is $P(Y=0)=0$. This condition guarantees that $frac{X}{Y}$ is well-defined almost surely.
$endgroup$
– Song
Dec 14 '18 at 20:16










1 Answer
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$begingroup$

If $P(Y = 0) > 0$, then there is a nonzero probability that $Z$ is undefined due to dividing by zero.



However, if $P(Y = 0) = 0$ (for example, if $Y$ has a PDF), then the probability of $Z$ being undefined is zero, so you can essentially ignore that case.






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    $begingroup$

    If $P(Y = 0) > 0$, then there is a nonzero probability that $Z$ is undefined due to dividing by zero.



    However, if $P(Y = 0) = 0$ (for example, if $Y$ has a PDF), then the probability of $Z$ being undefined is zero, so you can essentially ignore that case.






    share|cite|improve this answer









    $endgroup$


















      1












      $begingroup$

      If $P(Y = 0) > 0$, then there is a nonzero probability that $Z$ is undefined due to dividing by zero.



      However, if $P(Y = 0) = 0$ (for example, if $Y$ has a PDF), then the probability of $Z$ being undefined is zero, so you can essentially ignore that case.






      share|cite|improve this answer









      $endgroup$
















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        1








        1





        $begingroup$

        If $P(Y = 0) > 0$, then there is a nonzero probability that $Z$ is undefined due to dividing by zero.



        However, if $P(Y = 0) = 0$ (for example, if $Y$ has a PDF), then the probability of $Z$ being undefined is zero, so you can essentially ignore that case.






        share|cite|improve this answer









        $endgroup$



        If $P(Y = 0) > 0$, then there is a nonzero probability that $Z$ is undefined due to dividing by zero.



        However, if $P(Y = 0) = 0$ (for example, if $Y$ has a PDF), then the probability of $Z$ being undefined is zero, so you can essentially ignore that case.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 14 '18 at 20:13









        angryavianangryavian

        40.9k23380




        40.9k23380






























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