find a general formula for $E(X^t)$ when X has the log-normal distribution
Finding the answer to this integral is looking trivial to me.
I have to start with that:
$$E(X^t)=int_0^infty x^t frac
{1}{sqrt {2pi}x}e^{-ln(x)^2/2}dx$$
I am basically stuck on this integral: with $ln x=y$
$$frac{1}{sqrt {2 pi}}int_0^infty e^{yt} e^{-y^2/2}dy$$
I know that the answer is: $$e^{frac{t^2}{2}}$$
probability probability-distributions expected-value
add a comment |
Finding the answer to this integral is looking trivial to me.
I have to start with that:
$$E(X^t)=int_0^infty x^t frac
{1}{sqrt {2pi}x}e^{-ln(x)^2/2}dx$$
I am basically stuck on this integral: with $ln x=y$
$$frac{1}{sqrt {2 pi}}int_0^infty e^{yt} e^{-y^2/2}dy$$
I know that the answer is: $$e^{frac{t^2}{2}}$$
probability probability-distributions expected-value
2
Let $y=ln x-t$.
– Jimmy R.
Nov 29 '18 at 2:29
After the variable change the lower bound of the integral becomes $-infty$ and not $0$.
– Jimmy R.
Nov 29 '18 at 2:40
add a comment |
Finding the answer to this integral is looking trivial to me.
I have to start with that:
$$E(X^t)=int_0^infty x^t frac
{1}{sqrt {2pi}x}e^{-ln(x)^2/2}dx$$
I am basically stuck on this integral: with $ln x=y$
$$frac{1}{sqrt {2 pi}}int_0^infty e^{yt} e^{-y^2/2}dy$$
I know that the answer is: $$e^{frac{t^2}{2}}$$
probability probability-distributions expected-value
Finding the answer to this integral is looking trivial to me.
I have to start with that:
$$E(X^t)=int_0^infty x^t frac
{1}{sqrt {2pi}x}e^{-ln(x)^2/2}dx$$
I am basically stuck on this integral: with $ln x=y$
$$frac{1}{sqrt {2 pi}}int_0^infty e^{yt} e^{-y^2/2}dy$$
I know that the answer is: $$e^{frac{t^2}{2}}$$
probability probability-distributions expected-value
probability probability-distributions expected-value
edited Nov 29 '18 at 2:28
Jimmy R.
33k42157
33k42157
asked Nov 29 '18 at 2:19
Mahamad A. Kanouté
312111
312111
2
Let $y=ln x-t$.
– Jimmy R.
Nov 29 '18 at 2:29
After the variable change the lower bound of the integral becomes $-infty$ and not $0$.
– Jimmy R.
Nov 29 '18 at 2:40
add a comment |
2
Let $y=ln x-t$.
– Jimmy R.
Nov 29 '18 at 2:29
After the variable change the lower bound of the integral becomes $-infty$ and not $0$.
– Jimmy R.
Nov 29 '18 at 2:40
2
2
Let $y=ln x-t$.
– Jimmy R.
Nov 29 '18 at 2:29
Let $y=ln x-t$.
– Jimmy R.
Nov 29 '18 at 2:29
After the variable change the lower bound of the integral becomes $-infty$ and not $0$.
– Jimmy R.
Nov 29 '18 at 2:40
After the variable change the lower bound of the integral becomes $-infty$ and not $0$.
– Jimmy R.
Nov 29 '18 at 2:40
add a comment |
2 Answers
2
active
oldest
votes
Hint:$$e^{yt}e^{-y^2/2}=e^{-frac12(y^2-2yt+t^2)+frac12t^2}=e^{t^2/2}e^{-frac12(y-t)^2}$$
add a comment |
(I believe you've made two small mistakes - in the second integral it should be $dy$ instead of $dx$, and the integral should be taken over $-infty$ to $infty$. Be careful when doing substitutions!)
The trick here is in completing the square:
$$
begin{align}
e^{yt} e^{-y^2/2} &= e^{-frac{1}{2} (y^2 - 2yt)} \
&=e^{-frac{1}{2} (y^2 - 2yt+ t^2)}e^{frac{1}{2}t^2}\
&=e^{-frac{1}{2} (y-t)^2}e^{frac{1}{2}t^2}\
end{align}
$$
Putting this expression back into the original integral that you were stuck on, you'll get:
$$
begin{align}
int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}e^{frac{1}{2}t^2}dy
&=e^{frac{1}{2}t^2}int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}dy
end{align}
$$
Observing that what you have in the integral is the PDF of the Gaussian distribution, which integrates out to 1, you will get what you want:
$$
begin{align}
e^{frac{1}{2}t^2}int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}dy
end{align} = e^{frac{1}{2}t^2}
$$
you're right about the bounds. I completely forgot about it! However, my dx and dy are correctly placed
– Mahamad A. Kanouté
Nov 29 '18 at 3:10
add a comment |
Your Answer
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Hint:$$e^{yt}e^{-y^2/2}=e^{-frac12(y^2-2yt+t^2)+frac12t^2}=e^{t^2/2}e^{-frac12(y-t)^2}$$
add a comment |
Hint:$$e^{yt}e^{-y^2/2}=e^{-frac12(y^2-2yt+t^2)+frac12t^2}=e^{t^2/2}e^{-frac12(y-t)^2}$$
add a comment |
Hint:$$e^{yt}e^{-y^2/2}=e^{-frac12(y^2-2yt+t^2)+frac12t^2}=e^{t^2/2}e^{-frac12(y-t)^2}$$
Hint:$$e^{yt}e^{-y^2/2}=e^{-frac12(y^2-2yt+t^2)+frac12t^2}=e^{t^2/2}e^{-frac12(y-t)^2}$$
answered Nov 29 '18 at 2:31
Jimmy R.
33k42157
33k42157
add a comment |
add a comment |
(I believe you've made two small mistakes - in the second integral it should be $dy$ instead of $dx$, and the integral should be taken over $-infty$ to $infty$. Be careful when doing substitutions!)
The trick here is in completing the square:
$$
begin{align}
e^{yt} e^{-y^2/2} &= e^{-frac{1}{2} (y^2 - 2yt)} \
&=e^{-frac{1}{2} (y^2 - 2yt+ t^2)}e^{frac{1}{2}t^2}\
&=e^{-frac{1}{2} (y-t)^2}e^{frac{1}{2}t^2}\
end{align}
$$
Putting this expression back into the original integral that you were stuck on, you'll get:
$$
begin{align}
int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}e^{frac{1}{2}t^2}dy
&=e^{frac{1}{2}t^2}int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}dy
end{align}
$$
Observing that what you have in the integral is the PDF of the Gaussian distribution, which integrates out to 1, you will get what you want:
$$
begin{align}
e^{frac{1}{2}t^2}int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}dy
end{align} = e^{frac{1}{2}t^2}
$$
you're right about the bounds. I completely forgot about it! However, my dx and dy are correctly placed
– Mahamad A. Kanouté
Nov 29 '18 at 3:10
add a comment |
(I believe you've made two small mistakes - in the second integral it should be $dy$ instead of $dx$, and the integral should be taken over $-infty$ to $infty$. Be careful when doing substitutions!)
The trick here is in completing the square:
$$
begin{align}
e^{yt} e^{-y^2/2} &= e^{-frac{1}{2} (y^2 - 2yt)} \
&=e^{-frac{1}{2} (y^2 - 2yt+ t^2)}e^{frac{1}{2}t^2}\
&=e^{-frac{1}{2} (y-t)^2}e^{frac{1}{2}t^2}\
end{align}
$$
Putting this expression back into the original integral that you were stuck on, you'll get:
$$
begin{align}
int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}e^{frac{1}{2}t^2}dy
&=e^{frac{1}{2}t^2}int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}dy
end{align}
$$
Observing that what you have in the integral is the PDF of the Gaussian distribution, which integrates out to 1, you will get what you want:
$$
begin{align}
e^{frac{1}{2}t^2}int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}dy
end{align} = e^{frac{1}{2}t^2}
$$
you're right about the bounds. I completely forgot about it! However, my dx and dy are correctly placed
– Mahamad A. Kanouté
Nov 29 '18 at 3:10
add a comment |
(I believe you've made two small mistakes - in the second integral it should be $dy$ instead of $dx$, and the integral should be taken over $-infty$ to $infty$. Be careful when doing substitutions!)
The trick here is in completing the square:
$$
begin{align}
e^{yt} e^{-y^2/2} &= e^{-frac{1}{2} (y^2 - 2yt)} \
&=e^{-frac{1}{2} (y^2 - 2yt+ t^2)}e^{frac{1}{2}t^2}\
&=e^{-frac{1}{2} (y-t)^2}e^{frac{1}{2}t^2}\
end{align}
$$
Putting this expression back into the original integral that you were stuck on, you'll get:
$$
begin{align}
int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}e^{frac{1}{2}t^2}dy
&=e^{frac{1}{2}t^2}int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}dy
end{align}
$$
Observing that what you have in the integral is the PDF of the Gaussian distribution, which integrates out to 1, you will get what you want:
$$
begin{align}
e^{frac{1}{2}t^2}int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}dy
end{align} = e^{frac{1}{2}t^2}
$$
(I believe you've made two small mistakes - in the second integral it should be $dy$ instead of $dx$, and the integral should be taken over $-infty$ to $infty$. Be careful when doing substitutions!)
The trick here is in completing the square:
$$
begin{align}
e^{yt} e^{-y^2/2} &= e^{-frac{1}{2} (y^2 - 2yt)} \
&=e^{-frac{1}{2} (y^2 - 2yt+ t^2)}e^{frac{1}{2}t^2}\
&=e^{-frac{1}{2} (y-t)^2}e^{frac{1}{2}t^2}\
end{align}
$$
Putting this expression back into the original integral that you were stuck on, you'll get:
$$
begin{align}
int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}e^{frac{1}{2}t^2}dy
&=e^{frac{1}{2}t^2}int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}dy
end{align}
$$
Observing that what you have in the integral is the PDF of the Gaussian distribution, which integrates out to 1, you will get what you want:
$$
begin{align}
e^{frac{1}{2}t^2}int_{-infty}^infty frac{1}{sqrt{2pi}} e^{-frac{1}{2} (y-t)^2}dy
end{align} = e^{frac{1}{2}t^2}
$$
answered Nov 29 '18 at 2:38
Sean Lee
1578
1578
you're right about the bounds. I completely forgot about it! However, my dx and dy are correctly placed
– Mahamad A. Kanouté
Nov 29 '18 at 3:10
add a comment |
you're right about the bounds. I completely forgot about it! However, my dx and dy are correctly placed
– Mahamad A. Kanouté
Nov 29 '18 at 3:10
you're right about the bounds. I completely forgot about it! However, my dx and dy are correctly placed
– Mahamad A. Kanouté
Nov 29 '18 at 3:10
you're right about the bounds. I completely forgot about it! However, my dx and dy are correctly placed
– Mahamad A. Kanouté
Nov 29 '18 at 3:10
add a comment |
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2
Let $y=ln x-t$.
– Jimmy R.
Nov 29 '18 at 2:29
After the variable change the lower bound of the integral becomes $-infty$ and not $0$.
– Jimmy R.
Nov 29 '18 at 2:40