Basic function for CDFs and PDFs of continuous random variables











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Working through some problems in Introduction to Probability (Blitzstein).




Let F be the CDF of a continuous r.v., and f = F' be the PDF



(a) Show that g defined by g(x) = 2F(x)f(x) is also a valid PDF.




Does this have something to do with the fact that a PDF should integrate to 1?




(b) Show that h defined by $h(x) = frac{1}{2}f(-x) + frac{1}{2}f(x)$ is also a valid PDF.




Any hints on how to manipulate functions & their derivatives in ways that is useful for PDFs & CDFs? Are there some general concepts anyone knows?










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  • Yes, just do it!
    – GNUSupporter 8964民主女神 地下教會
    Dec 2 at 14:45















up vote
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down vote

favorite












Working through some problems in Introduction to Probability (Blitzstein).




Let F be the CDF of a continuous r.v., and f = F' be the PDF



(a) Show that g defined by g(x) = 2F(x)f(x) is also a valid PDF.




Does this have something to do with the fact that a PDF should integrate to 1?




(b) Show that h defined by $h(x) = frac{1}{2}f(-x) + frac{1}{2}f(x)$ is also a valid PDF.




Any hints on how to manipulate functions & their derivatives in ways that is useful for PDFs & CDFs? Are there some general concepts anyone knows?










share|cite|improve this question






















  • Yes, just do it!
    – GNUSupporter 8964民主女神 地下教會
    Dec 2 at 14:45













up vote
0
down vote

favorite









up vote
0
down vote

favorite











Working through some problems in Introduction to Probability (Blitzstein).




Let F be the CDF of a continuous r.v., and f = F' be the PDF



(a) Show that g defined by g(x) = 2F(x)f(x) is also a valid PDF.




Does this have something to do with the fact that a PDF should integrate to 1?




(b) Show that h defined by $h(x) = frac{1}{2}f(-x) + frac{1}{2}f(x)$ is also a valid PDF.




Any hints on how to manipulate functions & their derivatives in ways that is useful for PDFs & CDFs? Are there some general concepts anyone knows?










share|cite|improve this question













Working through some problems in Introduction to Probability (Blitzstein).




Let F be the CDF of a continuous r.v., and f = F' be the PDF



(a) Show that g defined by g(x) = 2F(x)f(x) is also a valid PDF.




Does this have something to do with the fact that a PDF should integrate to 1?




(b) Show that h defined by $h(x) = frac{1}{2}f(-x) + frac{1}{2}f(x)$ is also a valid PDF.




Any hints on how to manipulate functions & their derivatives in ways that is useful for PDFs & CDFs? Are there some general concepts anyone knows?







probability-distributions random-variables






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asked Dec 2 at 14:40









user603569

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  • Yes, just do it!
    – GNUSupporter 8964民主女神 地下教會
    Dec 2 at 14:45


















  • Yes, just do it!
    – GNUSupporter 8964民主女神 地下教會
    Dec 2 at 14:45
















Yes, just do it!
– GNUSupporter 8964民主女神 地下教會
Dec 2 at 14:45




Yes, just do it!
– GNUSupporter 8964民主女神 地下教會
Dec 2 at 14:45










1 Answer
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Hints



on a)



If $F(x)$ is a CDF then so is $F(x)^2$.



What will be the looks of an eventual PDF for $F(x)^2$ if $F(x)$ has a derivative?



on b)



A function $k:mathbb Rtomathbb R$ is a PDF if and only if it is nonnegative and integrable with $int_{-infty}^{infty} k(x)dx=1$.



If $f$ indeed has these qualities, then what can be said about $h(x)=frac12f(-x)+frac12f(x)$?






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    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes








    up vote
    0
    down vote













    Hints



    on a)



    If $F(x)$ is a CDF then so is $F(x)^2$.



    What will be the looks of an eventual PDF for $F(x)^2$ if $F(x)$ has a derivative?



    on b)



    A function $k:mathbb Rtomathbb R$ is a PDF if and only if it is nonnegative and integrable with $int_{-infty}^{infty} k(x)dx=1$.



    If $f$ indeed has these qualities, then what can be said about $h(x)=frac12f(-x)+frac12f(x)$?






    share|cite|improve this answer

























      up vote
      0
      down vote













      Hints



      on a)



      If $F(x)$ is a CDF then so is $F(x)^2$.



      What will be the looks of an eventual PDF for $F(x)^2$ if $F(x)$ has a derivative?



      on b)



      A function $k:mathbb Rtomathbb R$ is a PDF if and only if it is nonnegative and integrable with $int_{-infty}^{infty} k(x)dx=1$.



      If $f$ indeed has these qualities, then what can be said about $h(x)=frac12f(-x)+frac12f(x)$?






      share|cite|improve this answer























        up vote
        0
        down vote










        up vote
        0
        down vote









        Hints



        on a)



        If $F(x)$ is a CDF then so is $F(x)^2$.



        What will be the looks of an eventual PDF for $F(x)^2$ if $F(x)$ has a derivative?



        on b)



        A function $k:mathbb Rtomathbb R$ is a PDF if and only if it is nonnegative and integrable with $int_{-infty}^{infty} k(x)dx=1$.



        If $f$ indeed has these qualities, then what can be said about $h(x)=frac12f(-x)+frac12f(x)$?






        share|cite|improve this answer












        Hints



        on a)



        If $F(x)$ is a CDF then so is $F(x)^2$.



        What will be the looks of an eventual PDF for $F(x)^2$ if $F(x)$ has a derivative?



        on b)



        A function $k:mathbb Rtomathbb R$ is a PDF if and only if it is nonnegative and integrable with $int_{-infty}^{infty} k(x)dx=1$.



        If $f$ indeed has these qualities, then what can be said about $h(x)=frac12f(-x)+frac12f(x)$?







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 2 at 14:48









        drhab

        95.3k543126




        95.3k543126






























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