How is the subtraction of a uniform (0, k) and its entire part distributed?












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Let X be a random variable distributed as $U[0, K]$ for an integer K. Find the density function of $Y = f (x) = x- [x]$, where [x] denotes the integer part of the real number x.



I think that [X] represents a discrete uniform but this by definition would be with values at x = 1,2, ... k, and its density would be 1/k which is the same as that of the continuous uniform.



Now, I understand that the distribution [X] is dependent on X, then I could not assume independence to use some kind of transformation because I do not know the joint.



I appreciate if you can give me some other way that I have not considered, thank you very much.










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    0












    $begingroup$


    Let X be a random variable distributed as $U[0, K]$ for an integer K. Find the density function of $Y = f (x) = x- [x]$, where [x] denotes the integer part of the real number x.



    I think that [X] represents a discrete uniform but this by definition would be with values at x = 1,2, ... k, and its density would be 1/k which is the same as that of the continuous uniform.



    Now, I understand that the distribution [X] is dependent on X, then I could not assume independence to use some kind of transformation because I do not know the joint.



    I appreciate if you can give me some other way that I have not considered, thank you very much.










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      Let X be a random variable distributed as $U[0, K]$ for an integer K. Find the density function of $Y = f (x) = x- [x]$, where [x] denotes the integer part of the real number x.



      I think that [X] represents a discrete uniform but this by definition would be with values at x = 1,2, ... k, and its density would be 1/k which is the same as that of the continuous uniform.



      Now, I understand that the distribution [X] is dependent on X, then I could not assume independence to use some kind of transformation because I do not know the joint.



      I appreciate if you can give me some other way that I have not considered, thank you very much.










      share|cite|improve this question









      $endgroup$




      Let X be a random variable distributed as $U[0, K]$ for an integer K. Find the density function of $Y = f (x) = x- [x]$, where [x] denotes the integer part of the real number x.



      I think that [X] represents a discrete uniform but this by definition would be with values at x = 1,2, ... k, and its density would be 1/k which is the same as that of the continuous uniform.



      Now, I understand that the distribution [X] is dependent on X, then I could not assume independence to use some kind of transformation because I do not know the joint.



      I appreciate if you can give me some other way that I have not considered, thank you very much.







      statistics uniform-distribution






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      asked Dec 30 '18 at 23:16









      Cristian PerdomoCristian Perdomo

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          $begingroup$

          So, set ${x}=x-lfloor xrfloor$ to be the fractional part of $x$. Check that ${x} in [0,1)$. Hence, $f_X(x)$ is defined for $xin [0,1)$. Let's compute the CDF. Fix a $cin[0,1)$, and study $mathbb{P}({x}leq c)$. Observe that,
          $$
          {{x} leq c}=bigcup_{k=0}^{K-1}{xin [k,k+c)},
          $$

          hence $mathbb{P}({x}leq c)=Kcdot frac{c}{K}=c$. Hence, it turns out that, ${x}$ is uniform on $[0,1)$ (and also, $lfloor xrfloor$ is uniform on ${0,dots,K-1}$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thanks, I understood.
            $endgroup$
            – Cristian Perdomo
            Dec 31 '18 at 0:26











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          1 Answer
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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          0












          $begingroup$

          So, set ${x}=x-lfloor xrfloor$ to be the fractional part of $x$. Check that ${x} in [0,1)$. Hence, $f_X(x)$ is defined for $xin [0,1)$. Let's compute the CDF. Fix a $cin[0,1)$, and study $mathbb{P}({x}leq c)$. Observe that,
          $$
          {{x} leq c}=bigcup_{k=0}^{K-1}{xin [k,k+c)},
          $$

          hence $mathbb{P}({x}leq c)=Kcdot frac{c}{K}=c$. Hence, it turns out that, ${x}$ is uniform on $[0,1)$ (and also, $lfloor xrfloor$ is uniform on ${0,dots,K-1}$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thanks, I understood.
            $endgroup$
            – Cristian Perdomo
            Dec 31 '18 at 0:26
















          0












          $begingroup$

          So, set ${x}=x-lfloor xrfloor$ to be the fractional part of $x$. Check that ${x} in [0,1)$. Hence, $f_X(x)$ is defined for $xin [0,1)$. Let's compute the CDF. Fix a $cin[0,1)$, and study $mathbb{P}({x}leq c)$. Observe that,
          $$
          {{x} leq c}=bigcup_{k=0}^{K-1}{xin [k,k+c)},
          $$

          hence $mathbb{P}({x}leq c)=Kcdot frac{c}{K}=c$. Hence, it turns out that, ${x}$ is uniform on $[0,1)$ (and also, $lfloor xrfloor$ is uniform on ${0,dots,K-1}$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thanks, I understood.
            $endgroup$
            – Cristian Perdomo
            Dec 31 '18 at 0:26














          0












          0








          0





          $begingroup$

          So, set ${x}=x-lfloor xrfloor$ to be the fractional part of $x$. Check that ${x} in [0,1)$. Hence, $f_X(x)$ is defined for $xin [0,1)$. Let's compute the CDF. Fix a $cin[0,1)$, and study $mathbb{P}({x}leq c)$. Observe that,
          $$
          {{x} leq c}=bigcup_{k=0}^{K-1}{xin [k,k+c)},
          $$

          hence $mathbb{P}({x}leq c)=Kcdot frac{c}{K}=c$. Hence, it turns out that, ${x}$ is uniform on $[0,1)$ (and also, $lfloor xrfloor$ is uniform on ${0,dots,K-1}$.






          share|cite|improve this answer









          $endgroup$



          So, set ${x}=x-lfloor xrfloor$ to be the fractional part of $x$. Check that ${x} in [0,1)$. Hence, $f_X(x)$ is defined for $xin [0,1)$. Let's compute the CDF. Fix a $cin[0,1)$, and study $mathbb{P}({x}leq c)$. Observe that,
          $$
          {{x} leq c}=bigcup_{k=0}^{K-1}{xin [k,k+c)},
          $$

          hence $mathbb{P}({x}leq c)=Kcdot frac{c}{K}=c$. Hence, it turns out that, ${x}$ is uniform on $[0,1)$ (and also, $lfloor xrfloor$ is uniform on ${0,dots,K-1}$.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Dec 30 '18 at 23:21









          AaronAaron

          1,947415




          1,947415












          • $begingroup$
            Thanks, I understood.
            $endgroup$
            – Cristian Perdomo
            Dec 31 '18 at 0:26


















          • $begingroup$
            Thanks, I understood.
            $endgroup$
            – Cristian Perdomo
            Dec 31 '18 at 0:26
















          $begingroup$
          Thanks, I understood.
          $endgroup$
          – Cristian Perdomo
          Dec 31 '18 at 0:26




          $begingroup$
          Thanks, I understood.
          $endgroup$
          – Cristian Perdomo
          Dec 31 '18 at 0:26


















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