Expected value of half normal using gamma function
Let $X$ be $N(0,1)$. I want to compute $E(|X|)$. This is what I tried:
$$E(|X|)=frac{1}{sqrt{2pi}}int_{-infty}^infty|x|e^{frac{-x^2}{2}}dx=frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx$$
In order to aim for the gamma function, I do the change of variables $x^2/2=y.$ This results in
$$frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx=frac{2}{sqrt{pi}}int_{0}^infty y^{1/2}e^{-y}dy=frac{2}{sqrt{pi}}Gamma(1/2+1)=frac{2}{sqrt{pi}}frac{sqrt pi}{2}=1$$
This is obviously wrong, but I cannot find my mistake.
probability-distributions moment-problem
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Let $X$ be $N(0,1)$. I want to compute $E(|X|)$. This is what I tried:
$$E(|X|)=frac{1}{sqrt{2pi}}int_{-infty}^infty|x|e^{frac{-x^2}{2}}dx=frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx$$
In order to aim for the gamma function, I do the change of variables $x^2/2=y.$ This results in
$$frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx=frac{2}{sqrt{pi}}int_{0}^infty y^{1/2}e^{-y}dy=frac{2}{sqrt{pi}}Gamma(1/2+1)=frac{2}{sqrt{pi}}frac{sqrt pi}{2}=1$$
This is obviously wrong, but I cannot find my mistake.
probability-distributions moment-problem
add a comment |
Let $X$ be $N(0,1)$. I want to compute $E(|X|)$. This is what I tried:
$$E(|X|)=frac{1}{sqrt{2pi}}int_{-infty}^infty|x|e^{frac{-x^2}{2}}dx=frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx$$
In order to aim for the gamma function, I do the change of variables $x^2/2=y.$ This results in
$$frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx=frac{2}{sqrt{pi}}int_{0}^infty y^{1/2}e^{-y}dy=frac{2}{sqrt{pi}}Gamma(1/2+1)=frac{2}{sqrt{pi}}frac{sqrt pi}{2}=1$$
This is obviously wrong, but I cannot find my mistake.
probability-distributions moment-problem
Let $X$ be $N(0,1)$. I want to compute $E(|X|)$. This is what I tried:
$$E(|X|)=frac{1}{sqrt{2pi}}int_{-infty}^infty|x|e^{frac{-x^2}{2}}dx=frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx$$
In order to aim for the gamma function, I do the change of variables $x^2/2=y.$ This results in
$$frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx=frac{2}{sqrt{pi}}int_{0}^infty y^{1/2}e^{-y}dy=frac{2}{sqrt{pi}}Gamma(1/2+1)=frac{2}{sqrt{pi}}frac{sqrt pi}{2}=1$$
This is obviously wrong, but I cannot find my mistake.
probability-distributions moment-problem
probability-distributions moment-problem
edited Nov 26 at 17:28
mrtaurho
3,3982932
3,3982932
asked Nov 26 at 17:25
julian.marr
349112
349112
add a comment |
add a comment |
2 Answers
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Its just a slight mistake within your substitution. In fact by replacing $x^2/2$ with $y$ you have to consider that your differential changes to $xdx=dy$ and not only to $dy$. Therefore the single $x$ is absorbed within the $dy$ instead of remaining as $y^{1/2}$. This finally leads to
$$int_0^{infty}e^{-frac{x^2}2}(xdx)=int_0^{infty}e^{-y}dy$$
where the last integral turns out to equal $1$ instead of $Gamma(1/2+1)$. Therefore your evaluation has to be finished as
$$E(|X|)=frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx=frac{2}{sqrt{2pi}}int_{0}^infty e^{-y}dy=sqrt{frac{2}{pi}}$$
I see. Now it all makes sense.
– julian.marr
Nov 26 at 17:34
1
@julian.marr In this case you can mark my answer as accepted to show that you are satisfied with the given :)
– mrtaurho
Nov 26 at 17:35
add a comment |
Change of variable is wrong, you should have $int (ldots) frac{dx}{dy} , dy$ and you have omitted the (jacobian) $frac{dx}{dy}$.
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
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votes
active
oldest
votes
Its just a slight mistake within your substitution. In fact by replacing $x^2/2$ with $y$ you have to consider that your differential changes to $xdx=dy$ and not only to $dy$. Therefore the single $x$ is absorbed within the $dy$ instead of remaining as $y^{1/2}$. This finally leads to
$$int_0^{infty}e^{-frac{x^2}2}(xdx)=int_0^{infty}e^{-y}dy$$
where the last integral turns out to equal $1$ instead of $Gamma(1/2+1)$. Therefore your evaluation has to be finished as
$$E(|X|)=frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx=frac{2}{sqrt{2pi}}int_{0}^infty e^{-y}dy=sqrt{frac{2}{pi}}$$
I see. Now it all makes sense.
– julian.marr
Nov 26 at 17:34
1
@julian.marr In this case you can mark my answer as accepted to show that you are satisfied with the given :)
– mrtaurho
Nov 26 at 17:35
add a comment |
Its just a slight mistake within your substitution. In fact by replacing $x^2/2$ with $y$ you have to consider that your differential changes to $xdx=dy$ and not only to $dy$. Therefore the single $x$ is absorbed within the $dy$ instead of remaining as $y^{1/2}$. This finally leads to
$$int_0^{infty}e^{-frac{x^2}2}(xdx)=int_0^{infty}e^{-y}dy$$
where the last integral turns out to equal $1$ instead of $Gamma(1/2+1)$. Therefore your evaluation has to be finished as
$$E(|X|)=frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx=frac{2}{sqrt{2pi}}int_{0}^infty e^{-y}dy=sqrt{frac{2}{pi}}$$
I see. Now it all makes sense.
– julian.marr
Nov 26 at 17:34
1
@julian.marr In this case you can mark my answer as accepted to show that you are satisfied with the given :)
– mrtaurho
Nov 26 at 17:35
add a comment |
Its just a slight mistake within your substitution. In fact by replacing $x^2/2$ with $y$ you have to consider that your differential changes to $xdx=dy$ and not only to $dy$. Therefore the single $x$ is absorbed within the $dy$ instead of remaining as $y^{1/2}$. This finally leads to
$$int_0^{infty}e^{-frac{x^2}2}(xdx)=int_0^{infty}e^{-y}dy$$
where the last integral turns out to equal $1$ instead of $Gamma(1/2+1)$. Therefore your evaluation has to be finished as
$$E(|X|)=frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx=frac{2}{sqrt{2pi}}int_{0}^infty e^{-y}dy=sqrt{frac{2}{pi}}$$
Its just a slight mistake within your substitution. In fact by replacing $x^2/2$ with $y$ you have to consider that your differential changes to $xdx=dy$ and not only to $dy$. Therefore the single $x$ is absorbed within the $dy$ instead of remaining as $y^{1/2}$. This finally leads to
$$int_0^{infty}e^{-frac{x^2}2}(xdx)=int_0^{infty}e^{-y}dy$$
where the last integral turns out to equal $1$ instead of $Gamma(1/2+1)$. Therefore your evaluation has to be finished as
$$E(|X|)=frac{2}{sqrt{2pi}}int_{0}^infty xe^{frac{-x^2}{2}}dx=frac{2}{sqrt{2pi}}int_{0}^infty e^{-y}dy=sqrt{frac{2}{pi}}$$
edited Nov 26 at 17:34
answered Nov 26 at 17:32
mrtaurho
3,3982932
3,3982932
I see. Now it all makes sense.
– julian.marr
Nov 26 at 17:34
1
@julian.marr In this case you can mark my answer as accepted to show that you are satisfied with the given :)
– mrtaurho
Nov 26 at 17:35
add a comment |
I see. Now it all makes sense.
– julian.marr
Nov 26 at 17:34
1
@julian.marr In this case you can mark my answer as accepted to show that you are satisfied with the given :)
– mrtaurho
Nov 26 at 17:35
I see. Now it all makes sense.
– julian.marr
Nov 26 at 17:34
I see. Now it all makes sense.
– julian.marr
Nov 26 at 17:34
1
1
@julian.marr In this case you can mark my answer as accepted to show that you are satisfied with the given :)
– mrtaurho
Nov 26 at 17:35
@julian.marr In this case you can mark my answer as accepted to show that you are satisfied with the given :)
– mrtaurho
Nov 26 at 17:35
add a comment |
Change of variable is wrong, you should have $int (ldots) frac{dx}{dy} , dy$ and you have omitted the (jacobian) $frac{dx}{dy}$.
add a comment |
Change of variable is wrong, you should have $int (ldots) frac{dx}{dy} , dy$ and you have omitted the (jacobian) $frac{dx}{dy}$.
add a comment |
Change of variable is wrong, you should have $int (ldots) frac{dx}{dy} , dy$ and you have omitted the (jacobian) $frac{dx}{dy}$.
Change of variable is wrong, you should have $int (ldots) frac{dx}{dy} , dy$ and you have omitted the (jacobian) $frac{dx}{dy}$.
answered Nov 26 at 17:32
Richard Martin
1,63618
1,63618
add a comment |
add a comment |
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