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

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Homework Help Overview

The discussion revolves around proving the relationship between two gamma-distributed random variables, specifically showing that if X follows a Gamma distribution with parameters α and β, then Y, defined as Y = kX (where k is a positive constant), follows a Gamma distribution with parameters α and kβ.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the transformation of the probability density function (PDF) of X to derive the PDF of Y, questioning the appearance of the constant k in the process.

Discussion Status

Some participants have provided insights into the relationship between the variables and the implications of the scale factor in the gamma function. There is an ongoing examination of the mathematical steps involved, with participants questioning specific details and clarifying the transformation process.

Contextual Notes

There are indications of confusion regarding the manipulation of the PDF and the integration process, as well as concerns about the clarity of the responses provided. Participants are also reflecting on the editing process of their contributions.

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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?
 
Last edited:
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]
 
Last edited:

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