Random variable transformation with floor function

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Can someone help me with the following question:



For each $ngeq 1$, let $X_n$ be a random variable following an exponential distribution with mean $n$. Determine $F_n$: the distribution function of $X_n - 10 [fracX_n10]$, where $[u]$ denotes the greatest integer lesser or equal than $u$. What is the limit of $F_n$ when $n rightarrow + infty$.



I've tried to calculate that by using Probability Total Law, but since I have the same variable both in $[X_n/10]$ and out the floor function, I was not able to make it.



Using computational simulation I've found that the answer should be a Uniform distribution (0, 10) but I can't prove it mathematically.







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    up vote
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    Can someone help me with the following question:



    For each $ngeq 1$, let $X_n$ be a random variable following an exponential distribution with mean $n$. Determine $F_n$: the distribution function of $X_n - 10 [fracX_n10]$, where $[u]$ denotes the greatest integer lesser or equal than $u$. What is the limit of $F_n$ when $n rightarrow + infty$.



    I've tried to calculate that by using Probability Total Law, but since I have the same variable both in $[X_n/10]$ and out the floor function, I was not able to make it.



    Using computational simulation I've found that the answer should be a Uniform distribution (0, 10) but I can't prove it mathematically.







    share|cite|improve this question





















      up vote
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      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Can someone help me with the following question:



      For each $ngeq 1$, let $X_n$ be a random variable following an exponential distribution with mean $n$. Determine $F_n$: the distribution function of $X_n - 10 [fracX_n10]$, where $[u]$ denotes the greatest integer lesser or equal than $u$. What is the limit of $F_n$ when $n rightarrow + infty$.



      I've tried to calculate that by using Probability Total Law, but since I have the same variable both in $[X_n/10]$ and out the floor function, I was not able to make it.



      Using computational simulation I've found that the answer should be a Uniform distribution (0, 10) but I can't prove it mathematically.







      share|cite|improve this question











      Can someone help me with the following question:



      For each $ngeq 1$, let $X_n$ be a random variable following an exponential distribution with mean $n$. Determine $F_n$: the distribution function of $X_n - 10 [fracX_n10]$, where $[u]$ denotes the greatest integer lesser or equal than $u$. What is the limit of $F_n$ when $n rightarrow + infty$.



      I've tried to calculate that by using Probability Total Law, but since I have the same variable both in $[X_n/10]$ and out the floor function, I was not able to make it.



      Using computational simulation I've found that the answer should be a Uniform distribution (0, 10) but I can't prove it mathematically.









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      asked Jul 23 at 13:55









      Raul

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          $F_n$ can be computed readily. Let $Y_n=X_n-10[fracX_n10]$. Then for $0le y le 10$,
          $P(Y_n le y)=sum_k=0^inftyP(10kle X_nle 10k+y)=sum_k=0^infty(e^frac-10kn-e^frac-(10k+y)n)=(1-e^frac-yn)frac11-e^frac-10n$ For large n, $F_n(y)approx fracy10$, which is uniform for $0le yle 10$.



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            $F_n$ can be computed readily. Let $Y_n=X_n-10[fracX_n10]$. Then for $0le y le 10$,
            $P(Y_n le y)=sum_k=0^inftyP(10kle X_nle 10k+y)=sum_k=0^infty(e^frac-10kn-e^frac-(10k+y)n)=(1-e^frac-yn)frac11-e^frac-10n$ For large n, $F_n(y)approx fracy10$, which is uniform for $0le yle 10$.



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              $F_n$ can be computed readily. Let $Y_n=X_n-10[fracX_n10]$. Then for $0le y le 10$,
              $P(Y_n le y)=sum_k=0^inftyP(10kle X_nle 10k+y)=sum_k=0^infty(e^frac-10kn-e^frac-(10k+y)n)=(1-e^frac-yn)frac11-e^frac-10n$ For large n, $F_n(y)approx fracy10$, which is uniform for $0le yle 10$.



              .






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                up vote
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                $F_n$ can be computed readily. Let $Y_n=X_n-10[fracX_n10]$. Then for $0le y le 10$,
                $P(Y_n le y)=sum_k=0^inftyP(10kle X_nle 10k+y)=sum_k=0^infty(e^frac-10kn-e^frac-(10k+y)n)=(1-e^frac-yn)frac11-e^frac-10n$ For large n, $F_n(y)approx fracy10$, which is uniform for $0le yle 10$.



                .






                share|cite|improve this answer















                $F_n$ can be computed readily. Let $Y_n=X_n-10[fracX_n10]$. Then for $0le y le 10$,
                $P(Y_n le y)=sum_k=0^inftyP(10kle X_nle 10k+y)=sum_k=0^infty(e^frac-10kn-e^frac-(10k+y)n)=(1-e^frac-yn)frac11-e^frac-10n$ For large n, $F_n(y)approx fracy10$, which is uniform for $0le yle 10$.



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                edited Jul 23 at 17:54


























                answered Jul 23 at 16:58









                herb steinberg

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