Proving Y ~ Gamma(α, scale = kβ) from X ~ Gamma(α, scale = β)

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Homework Statement



Suppose X ~ Gamma(α, scale = β and that Y = kX with k > 0 a constant. Show that Y ~ Gamma(α, scale = kβ).

Homework Equations



Gamma distribution, etc.

The Attempt at a Solution



λ = \frac{1}{β}<br /> <br />

f(x) = \frac{λ^{α}}{Γ(α)}x^{α-1}e^{-λx}<br /> <br /> = {(\frac{1}{β})^{α}}{\frac{1}{Γ(α)}}{(\frac{y}{k})}^{α-1}e^{-λ{(\frac{y}{k})}}<br /> <br /> = k{(\frac{1}{kβ})^{α}}{\frac{1}{Γ(α)}}{({y})}^{α-1}e^{-{(\frac{y}{βk})}}<br /> <br />

What's with the extra k?
 
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Shackleford said:

Homework Statement



Suppose X ~ Gamma(α, scale = β and that Y = kX with k > 0 a constant. Show that Y ~ Gamma(α, scale = kβ).

Homework Equations



Gamma distribution, etc.

The Attempt at a Solution



λ = \frac{1}{β}<br /> <br />

f(x) = \frac{λ^{α}}{Γ(α)}x^{α-1}e^{-λx}<br /> <br /> = {(\frac{1}{β})^{α}}{\frac{1}{Γ(α)}}{(\frac{y}{k})}^{α-1}e^{-λ{(\frac{y}{k})}}<br /> <br /> = k{(\frac{1}{kβ})^{α}}{\frac{1}{Γ(α)}}{({y})}^{α-1}e^{-{(\frac{y}{βk})}}<br /> <br />

What's with the extra k?

It comes from ##dy = k dx##, so that ##\int f_X(x) \, dx = \int f_X(y/x) \, dy/x##.
Thus, ##f_Y(y) = (1/k) f_X(y/k) ##.
Shackleford said:

Homework Statement



Suppose X ~ Gamma(α, scale = β and that Y = kX with k > 0 a constant. Show that Y ~ Gamma(α, scale = kβ).

Homework Equations



Gamma distribution, etc.

The Attempt at a Solution



λ = \frac{1}{β}<br /> <br />

f(x) = \frac{λ^{α}}{Γ(α)}x^{α-1}e^{-λx}<br /> <br /> = {(\frac{1}{β})^{α}}{\frac{1}{Γ(α)}}{(\frac{y}{k})}^{α-1}e^{-λ{(\frac{y}{k})}}<br /> <br /> = k{(\frac{1}{kβ})^{α}}{\frac{1}{Γ(α)}}{({y})}^{α-1}e^{-{(\frac{y}{βk})}}<br /> <br />

What's with the extra k?

First, tell us what YOU think.
 
Ray Vickson said:
It comes from ##dy = k dx##, so that ##\int f_X(x) \, dx = \int f_X(y/x) \, dy/x##.
Thus, ##f_Y(y) = (1/k) f_X(y/k) ##.First, tell us what YOU think.

Eh. It's related to the scale factor and property of the gamma function. In the first line, shouldn't it be y/k and dy/k?
 
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Shackleford said:
Eh. It's related to the scale factor and property of the gamma function. In the first line, shouldn't it be y/k and dy/k?

Yes.

Unfortunately, when I was composing the response, I first gave that detailed answer, then changed my mind and went instead with the "non-answer" that would leave the work to you. I thought I had deleted the detailed answer, but the PF editor is tricky: if one is not careful, material one thinks has been deleted turns out to not have been. That is what happened here! I told you more than I wanted to.
 
Ray Vickson said:
Yes.

Unfortunately, when I was composing the response, I first gave that detailed answer, then changed my mind and went instead with the "non-answer" that would leave the work to you. I thought I had deleted the detailed answer, but the PF editor is tricky: if one is not careful, material one thinks has been deleted turns out to not have been. That is what happened here! I told you more than I wanted to.

Hm. Are they fixing the bug? Is my addition below correct?

dy=kdx, so that ∫ fX(x)dx = ∫ fX(y/k)dy/k = ∫ fY(y)dy.

I assume that this is the CDF: FY(y)=(1/k)FX(y/k).[/sub]
 
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There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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