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.
probability-distributions uniform-distribution floor-function exponential-distribution
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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.
probability-distributions uniform-distribution floor-function exponential-distribution
add a comment |Â
up vote
0
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.
probability-distributions uniform-distribution floor-function exponential-distribution
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.
probability-distributions uniform-distribution floor-function exponential-distribution
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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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
$F_n$ 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 $0le yle 10$.
.
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up vote
0
down vote
up vote
0
down vote
$F_n$ 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 $0le yle 10$.
.
$F_n$ 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 $0le yle 10$.
.
edited Jul 23 at 17:54
answered Jul 23 at 16:58
herb steinberg
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