Let $U_1$ and $U_2$ be independent and uniform on $[0, 1]$, find and sketch the density function of $S = U_1...












0














I am stuck on this problem during my review for my stats test.



I know I have to use the convolution formula, and I understand that:



$f_{U_1}(U_1) = 1$ for $0≤U_1≤1$



$f_{U_2}(U_2) = 1$ for $0≤U_2≤1$



but I do not know how to continue on from there. How do I use the convolution formula in this question? Thanks










share|cite|improve this question




















  • 2




    what difficulty did you face when you tried the formula?
    – Siong Thye Goh
    Nov 30 '18 at 1:45










  • I'm not sure how to even set up the equation. I'm guessing I start off with $int dU_1dU_2$. Is that correct?
    – peco
    Nov 30 '18 at 1:58
















0














I am stuck on this problem during my review for my stats test.



I know I have to use the convolution formula, and I understand that:



$f_{U_1}(U_1) = 1$ for $0≤U_1≤1$



$f_{U_2}(U_2) = 1$ for $0≤U_2≤1$



but I do not know how to continue on from there. How do I use the convolution formula in this question? Thanks










share|cite|improve this question




















  • 2




    what difficulty did you face when you tried the formula?
    – Siong Thye Goh
    Nov 30 '18 at 1:45










  • I'm not sure how to even set up the equation. I'm guessing I start off with $int dU_1dU_2$. Is that correct?
    – peco
    Nov 30 '18 at 1:58














0












0








0







I am stuck on this problem during my review for my stats test.



I know I have to use the convolution formula, and I understand that:



$f_{U_1}(U_1) = 1$ for $0≤U_1≤1$



$f_{U_2}(U_2) = 1$ for $0≤U_2≤1$



but I do not know how to continue on from there. How do I use the convolution formula in this question? Thanks










share|cite|improve this question















I am stuck on this problem during my review for my stats test.



I know I have to use the convolution formula, and I understand that:



$f_{U_1}(U_1) = 1$ for $0≤U_1≤1$



$f_{U_2}(U_2) = 1$ for $0≤U_2≤1$



but I do not know how to continue on from there. How do I use the convolution formula in this question? Thanks







statistics






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share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Nov 30 '18 at 2:17









Tianlalu

3,09621038




3,09621038










asked Nov 30 '18 at 1:43









pecopeco

758




758








  • 2




    what difficulty did you face when you tried the formula?
    – Siong Thye Goh
    Nov 30 '18 at 1:45










  • I'm not sure how to even set up the equation. I'm guessing I start off with $int dU_1dU_2$. Is that correct?
    – peco
    Nov 30 '18 at 1:58














  • 2




    what difficulty did you face when you tried the formula?
    – Siong Thye Goh
    Nov 30 '18 at 1:45










  • I'm not sure how to even set up the equation. I'm guessing I start off with $int dU_1dU_2$. Is that correct?
    – peco
    Nov 30 '18 at 1:58








2




2




what difficulty did you face when you tried the formula?
– Siong Thye Goh
Nov 30 '18 at 1:45




what difficulty did you face when you tried the formula?
– Siong Thye Goh
Nov 30 '18 at 1:45












I'm not sure how to even set up the equation. I'm guessing I start off with $int dU_1dU_2$. Is that correct?
– peco
Nov 30 '18 at 1:58




I'm not sure how to even set up the equation. I'm guessing I start off with $int dU_1dU_2$. Is that correct?
– peco
Nov 30 '18 at 1:58










2 Answers
2






active

oldest

votes


















0














If you are OK with the convolution formula then it is just a bit of computation. Letting $f_{U_1}(x) = f_{U_2}(x) = 1$ for $x in [0,1]$ and $0$ elsewhere, and $S = U_1 + U_2$. The convolution of $f_{U_1}$ and $f_{U_2}$ gives us the probability density function of $f_S$, it is
$$ f_S(z) = int_{-infty}^infty f_{U_1}(z-x)f_{U_2}(x) , mathrm{d}x. $$
Since $f_{U_2}(x) = 1$ on $[0,1]$ we have
$$f_S(z) = int_0^1 f_{U_1}(z-x) , mathrm{d}x.$$
We now have to consider cases since $f_{U_1}(z-x) = 1$ only when $ 0leq z-x leq 1$, or equivalently when $z-1leq xleq z$. Thus, for $0leq zleq 1$ we have
$$f_S(z) = int_0^z , mathrm{d}x = z.$$
And, for $1leq zleq 2$, we have
$$f_S(z) = int_{z-1}^1 , mathrm{d}x = 2-z.$$






share|cite|improve this answer





















  • thanks, but I don't understand why we need to consider $1≤z≤2$. I have also seen in the textbook answer that we need to have 2 regions, but is it because we have to consider the region of S which goes from 0 to 2 as $S = U_1 + U_2$?
    – peco
    Nov 30 '18 at 2:21








  • 1




    We need to consider $1leq zleq 2$ since it may be the case that $0leq z-x leq 1$ and so $f_{U_1}(z-x) = 1.$ As mentioned above, $f_{U_1}(z-x) = 1$ is satisfied whenever $z-1leq xleq z$ and note that we are only considering $0leq xleq 1$ from the limits of the integral. We need to consider the two regions since both inequalities can be satisfied for each region: for $0leq zleq 1$ - the inequalities are satisfied whenever $0leq xleq z$; for $1leq z leq 2$ - the inequalities are satisfied whenever $z-1leq xleq 1$. Hopefully this helps?
    – Timothy Hedgeworth
    Nov 30 '18 at 3:05



















0














Let $s in [0,2]$



begin{align}
f_S(s) &= int_{-infty}^infty f_{U_1}(t)f_{U_2}(s-t) , dt \
&= int_0^1 1cdot f_{U_2}(s-t) , dt
end{align}



Now we just need to integrate over the region when $f_{U_2}$ is positive.



$$0 le s-t le 1$$



$$-1 le t-s le 0$$



$$s-1 le t le s$$



Hence



$$f_S(s) = int_{max(0,s-1)}^{min{(1,s)}} 1 , dt$$



I will leave the simplication as an exercise.



You might like to consider when $s ge 1$ and $s<1$.



Remark: In the convoltuion formula, we are integrating only over one variable $t$.






share|cite|improve this answer























  • sorry for asking so much, but I know min(1,s) means the minimum. But how do you find what it equals to?
    – peco
    Nov 30 '18 at 2:16










  • If $s< 1$, then we have $min(1,s)=s$ and if we have $s ge 1$, then we have $min(1,s)=1$.
    – Siong Thye Goh
    Nov 30 '18 at 2:22











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2 Answers
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2 Answers
2






active

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active

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0














If you are OK with the convolution formula then it is just a bit of computation. Letting $f_{U_1}(x) = f_{U_2}(x) = 1$ for $x in [0,1]$ and $0$ elsewhere, and $S = U_1 + U_2$. The convolution of $f_{U_1}$ and $f_{U_2}$ gives us the probability density function of $f_S$, it is
$$ f_S(z) = int_{-infty}^infty f_{U_1}(z-x)f_{U_2}(x) , mathrm{d}x. $$
Since $f_{U_2}(x) = 1$ on $[0,1]$ we have
$$f_S(z) = int_0^1 f_{U_1}(z-x) , mathrm{d}x.$$
We now have to consider cases since $f_{U_1}(z-x) = 1$ only when $ 0leq z-x leq 1$, or equivalently when $z-1leq xleq z$. Thus, for $0leq zleq 1$ we have
$$f_S(z) = int_0^z , mathrm{d}x = z.$$
And, for $1leq zleq 2$, we have
$$f_S(z) = int_{z-1}^1 , mathrm{d}x = 2-z.$$






share|cite|improve this answer





















  • thanks, but I don't understand why we need to consider $1≤z≤2$. I have also seen in the textbook answer that we need to have 2 regions, but is it because we have to consider the region of S which goes from 0 to 2 as $S = U_1 + U_2$?
    – peco
    Nov 30 '18 at 2:21








  • 1




    We need to consider $1leq zleq 2$ since it may be the case that $0leq z-x leq 1$ and so $f_{U_1}(z-x) = 1.$ As mentioned above, $f_{U_1}(z-x) = 1$ is satisfied whenever $z-1leq xleq z$ and note that we are only considering $0leq xleq 1$ from the limits of the integral. We need to consider the two regions since both inequalities can be satisfied for each region: for $0leq zleq 1$ - the inequalities are satisfied whenever $0leq xleq z$; for $1leq z leq 2$ - the inequalities are satisfied whenever $z-1leq xleq 1$. Hopefully this helps?
    – Timothy Hedgeworth
    Nov 30 '18 at 3:05
















0














If you are OK with the convolution formula then it is just a bit of computation. Letting $f_{U_1}(x) = f_{U_2}(x) = 1$ for $x in [0,1]$ and $0$ elsewhere, and $S = U_1 + U_2$. The convolution of $f_{U_1}$ and $f_{U_2}$ gives us the probability density function of $f_S$, it is
$$ f_S(z) = int_{-infty}^infty f_{U_1}(z-x)f_{U_2}(x) , mathrm{d}x. $$
Since $f_{U_2}(x) = 1$ on $[0,1]$ we have
$$f_S(z) = int_0^1 f_{U_1}(z-x) , mathrm{d}x.$$
We now have to consider cases since $f_{U_1}(z-x) = 1$ only when $ 0leq z-x leq 1$, or equivalently when $z-1leq xleq z$. Thus, for $0leq zleq 1$ we have
$$f_S(z) = int_0^z , mathrm{d}x = z.$$
And, for $1leq zleq 2$, we have
$$f_S(z) = int_{z-1}^1 , mathrm{d}x = 2-z.$$






share|cite|improve this answer





















  • thanks, but I don't understand why we need to consider $1≤z≤2$. I have also seen in the textbook answer that we need to have 2 regions, but is it because we have to consider the region of S which goes from 0 to 2 as $S = U_1 + U_2$?
    – peco
    Nov 30 '18 at 2:21








  • 1




    We need to consider $1leq zleq 2$ since it may be the case that $0leq z-x leq 1$ and so $f_{U_1}(z-x) = 1.$ As mentioned above, $f_{U_1}(z-x) = 1$ is satisfied whenever $z-1leq xleq z$ and note that we are only considering $0leq xleq 1$ from the limits of the integral. We need to consider the two regions since both inequalities can be satisfied for each region: for $0leq zleq 1$ - the inequalities are satisfied whenever $0leq xleq z$; for $1leq z leq 2$ - the inequalities are satisfied whenever $z-1leq xleq 1$. Hopefully this helps?
    – Timothy Hedgeworth
    Nov 30 '18 at 3:05














0












0








0






If you are OK with the convolution formula then it is just a bit of computation. Letting $f_{U_1}(x) = f_{U_2}(x) = 1$ for $x in [0,1]$ and $0$ elsewhere, and $S = U_1 + U_2$. The convolution of $f_{U_1}$ and $f_{U_2}$ gives us the probability density function of $f_S$, it is
$$ f_S(z) = int_{-infty}^infty f_{U_1}(z-x)f_{U_2}(x) , mathrm{d}x. $$
Since $f_{U_2}(x) = 1$ on $[0,1]$ we have
$$f_S(z) = int_0^1 f_{U_1}(z-x) , mathrm{d}x.$$
We now have to consider cases since $f_{U_1}(z-x) = 1$ only when $ 0leq z-x leq 1$, or equivalently when $z-1leq xleq z$. Thus, for $0leq zleq 1$ we have
$$f_S(z) = int_0^z , mathrm{d}x = z.$$
And, for $1leq zleq 2$, we have
$$f_S(z) = int_{z-1}^1 , mathrm{d}x = 2-z.$$






share|cite|improve this answer












If you are OK with the convolution formula then it is just a bit of computation. Letting $f_{U_1}(x) = f_{U_2}(x) = 1$ for $x in [0,1]$ and $0$ elsewhere, and $S = U_1 + U_2$. The convolution of $f_{U_1}$ and $f_{U_2}$ gives us the probability density function of $f_S$, it is
$$ f_S(z) = int_{-infty}^infty f_{U_1}(z-x)f_{U_2}(x) , mathrm{d}x. $$
Since $f_{U_2}(x) = 1$ on $[0,1]$ we have
$$f_S(z) = int_0^1 f_{U_1}(z-x) , mathrm{d}x.$$
We now have to consider cases since $f_{U_1}(z-x) = 1$ only when $ 0leq z-x leq 1$, or equivalently when $z-1leq xleq z$. Thus, for $0leq zleq 1$ we have
$$f_S(z) = int_0^z , mathrm{d}x = z.$$
And, for $1leq zleq 2$, we have
$$f_S(z) = int_{z-1}^1 , mathrm{d}x = 2-z.$$







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Nov 30 '18 at 2:15









Timothy HedgeworthTimothy Hedgeworth

1366




1366












  • thanks, but I don't understand why we need to consider $1≤z≤2$. I have also seen in the textbook answer that we need to have 2 regions, but is it because we have to consider the region of S which goes from 0 to 2 as $S = U_1 + U_2$?
    – peco
    Nov 30 '18 at 2:21








  • 1




    We need to consider $1leq zleq 2$ since it may be the case that $0leq z-x leq 1$ and so $f_{U_1}(z-x) = 1.$ As mentioned above, $f_{U_1}(z-x) = 1$ is satisfied whenever $z-1leq xleq z$ and note that we are only considering $0leq xleq 1$ from the limits of the integral. We need to consider the two regions since both inequalities can be satisfied for each region: for $0leq zleq 1$ - the inequalities are satisfied whenever $0leq xleq z$; for $1leq z leq 2$ - the inequalities are satisfied whenever $z-1leq xleq 1$. Hopefully this helps?
    – Timothy Hedgeworth
    Nov 30 '18 at 3:05


















  • thanks, but I don't understand why we need to consider $1≤z≤2$. I have also seen in the textbook answer that we need to have 2 regions, but is it because we have to consider the region of S which goes from 0 to 2 as $S = U_1 + U_2$?
    – peco
    Nov 30 '18 at 2:21








  • 1




    We need to consider $1leq zleq 2$ since it may be the case that $0leq z-x leq 1$ and so $f_{U_1}(z-x) = 1.$ As mentioned above, $f_{U_1}(z-x) = 1$ is satisfied whenever $z-1leq xleq z$ and note that we are only considering $0leq xleq 1$ from the limits of the integral. We need to consider the two regions since both inequalities can be satisfied for each region: for $0leq zleq 1$ - the inequalities are satisfied whenever $0leq xleq z$; for $1leq z leq 2$ - the inequalities are satisfied whenever $z-1leq xleq 1$. Hopefully this helps?
    – Timothy Hedgeworth
    Nov 30 '18 at 3:05
















thanks, but I don't understand why we need to consider $1≤z≤2$. I have also seen in the textbook answer that we need to have 2 regions, but is it because we have to consider the region of S which goes from 0 to 2 as $S = U_1 + U_2$?
– peco
Nov 30 '18 at 2:21






thanks, but I don't understand why we need to consider $1≤z≤2$. I have also seen in the textbook answer that we need to have 2 regions, but is it because we have to consider the region of S which goes from 0 to 2 as $S = U_1 + U_2$?
– peco
Nov 30 '18 at 2:21






1




1




We need to consider $1leq zleq 2$ since it may be the case that $0leq z-x leq 1$ and so $f_{U_1}(z-x) = 1.$ As mentioned above, $f_{U_1}(z-x) = 1$ is satisfied whenever $z-1leq xleq z$ and note that we are only considering $0leq xleq 1$ from the limits of the integral. We need to consider the two regions since both inequalities can be satisfied for each region: for $0leq zleq 1$ - the inequalities are satisfied whenever $0leq xleq z$; for $1leq z leq 2$ - the inequalities are satisfied whenever $z-1leq xleq 1$. Hopefully this helps?
– Timothy Hedgeworth
Nov 30 '18 at 3:05




We need to consider $1leq zleq 2$ since it may be the case that $0leq z-x leq 1$ and so $f_{U_1}(z-x) = 1.$ As mentioned above, $f_{U_1}(z-x) = 1$ is satisfied whenever $z-1leq xleq z$ and note that we are only considering $0leq xleq 1$ from the limits of the integral. We need to consider the two regions since both inequalities can be satisfied for each region: for $0leq zleq 1$ - the inequalities are satisfied whenever $0leq xleq z$; for $1leq z leq 2$ - the inequalities are satisfied whenever $z-1leq xleq 1$. Hopefully this helps?
– Timothy Hedgeworth
Nov 30 '18 at 3:05











0














Let $s in [0,2]$



begin{align}
f_S(s) &= int_{-infty}^infty f_{U_1}(t)f_{U_2}(s-t) , dt \
&= int_0^1 1cdot f_{U_2}(s-t) , dt
end{align}



Now we just need to integrate over the region when $f_{U_2}$ is positive.



$$0 le s-t le 1$$



$$-1 le t-s le 0$$



$$s-1 le t le s$$



Hence



$$f_S(s) = int_{max(0,s-1)}^{min{(1,s)}} 1 , dt$$



I will leave the simplication as an exercise.



You might like to consider when $s ge 1$ and $s<1$.



Remark: In the convoltuion formula, we are integrating only over one variable $t$.






share|cite|improve this answer























  • sorry for asking so much, but I know min(1,s) means the minimum. But how do you find what it equals to?
    – peco
    Nov 30 '18 at 2:16










  • If $s< 1$, then we have $min(1,s)=s$ and if we have $s ge 1$, then we have $min(1,s)=1$.
    – Siong Thye Goh
    Nov 30 '18 at 2:22
















0














Let $s in [0,2]$



begin{align}
f_S(s) &= int_{-infty}^infty f_{U_1}(t)f_{U_2}(s-t) , dt \
&= int_0^1 1cdot f_{U_2}(s-t) , dt
end{align}



Now we just need to integrate over the region when $f_{U_2}$ is positive.



$$0 le s-t le 1$$



$$-1 le t-s le 0$$



$$s-1 le t le s$$



Hence



$$f_S(s) = int_{max(0,s-1)}^{min{(1,s)}} 1 , dt$$



I will leave the simplication as an exercise.



You might like to consider when $s ge 1$ and $s<1$.



Remark: In the convoltuion formula, we are integrating only over one variable $t$.






share|cite|improve this answer























  • sorry for asking so much, but I know min(1,s) means the minimum. But how do you find what it equals to?
    – peco
    Nov 30 '18 at 2:16










  • If $s< 1$, then we have $min(1,s)=s$ and if we have $s ge 1$, then we have $min(1,s)=1$.
    – Siong Thye Goh
    Nov 30 '18 at 2:22














0












0








0






Let $s in [0,2]$



begin{align}
f_S(s) &= int_{-infty}^infty f_{U_1}(t)f_{U_2}(s-t) , dt \
&= int_0^1 1cdot f_{U_2}(s-t) , dt
end{align}



Now we just need to integrate over the region when $f_{U_2}$ is positive.



$$0 le s-t le 1$$



$$-1 le t-s le 0$$



$$s-1 le t le s$$



Hence



$$f_S(s) = int_{max(0,s-1)}^{min{(1,s)}} 1 , dt$$



I will leave the simplication as an exercise.



You might like to consider when $s ge 1$ and $s<1$.



Remark: In the convoltuion formula, we are integrating only over one variable $t$.






share|cite|improve this answer














Let $s in [0,2]$



begin{align}
f_S(s) &= int_{-infty}^infty f_{U_1}(t)f_{U_2}(s-t) , dt \
&= int_0^1 1cdot f_{U_2}(s-t) , dt
end{align}



Now we just need to integrate over the region when $f_{U_2}$ is positive.



$$0 le s-t le 1$$



$$-1 le t-s le 0$$



$$s-1 le t le s$$



Hence



$$f_S(s) = int_{max(0,s-1)}^{min{(1,s)}} 1 , dt$$



I will leave the simplication as an exercise.



You might like to consider when $s ge 1$ and $s<1$.



Remark: In the convoltuion formula, we are integrating only over one variable $t$.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Nov 30 '18 at 2:12

























answered Nov 30 '18 at 2:05









Siong Thye GohSiong Thye Goh

99.6k1464117




99.6k1464117












  • sorry for asking so much, but I know min(1,s) means the minimum. But how do you find what it equals to?
    – peco
    Nov 30 '18 at 2:16










  • If $s< 1$, then we have $min(1,s)=s$ and if we have $s ge 1$, then we have $min(1,s)=1$.
    – Siong Thye Goh
    Nov 30 '18 at 2:22


















  • sorry for asking so much, but I know min(1,s) means the minimum. But how do you find what it equals to?
    – peco
    Nov 30 '18 at 2:16










  • If $s< 1$, then we have $min(1,s)=s$ and if we have $s ge 1$, then we have $min(1,s)=1$.
    – Siong Thye Goh
    Nov 30 '18 at 2:22
















sorry for asking so much, but I know min(1,s) means the minimum. But how do you find what it equals to?
– peco
Nov 30 '18 at 2:16




sorry for asking so much, but I know min(1,s) means the minimum. But how do you find what it equals to?
– peco
Nov 30 '18 at 2:16












If $s< 1$, then we have $min(1,s)=s$ and if we have $s ge 1$, then we have $min(1,s)=1$.
– Siong Thye Goh
Nov 30 '18 at 2:22




If $s< 1$, then we have $min(1,s)=s$ and if we have $s ge 1$, then we have $min(1,s)=1$.
– Siong Thye Goh
Nov 30 '18 at 2:22


















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Required, but never shown












Required, but never shown







Required, but never shown







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