What is the Moment Generating Function for the Distribution f(x) = 2x?

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Homework Help Overview

The discussion revolves around finding the moment generating function (MGF) for the probability distribution defined by f(x) = 2x for 0 < x < 1. Participants are exploring the steps necessary to derive the MGF and subsequently use it to find moments about the origin and the third central moment.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the integration process required to find the MGF, with some questioning the handling of variables within the integral. There are attempts to clarify the correct application of integration by parts and the implications of integrating out certain variables.

Discussion Status

The discussion is ongoing, with participants providing feedback on each other's attempts and suggesting alternative methods, such as using power series for simplification. There is no explicit consensus yet, as participants are still working through the details of the calculations and exploring different approaches.

Contextual Notes

There are indications of confusion regarding the integration process and the treatment of variables, particularly concerning the integration limits and the presence of 'x' in the integral. Participants are also considering the implications of differentiating a quotient in their calculations.

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Homework Statement



Let f(x) = 2x 0<x<1

a) Determing the Moment Generating function M(t) of X
b) Use the MGT to determine all moments about the origin
c) Give the 3rd central moment called the skewness

Homework Equations





The Attempt at a Solution



a) [tex]\int^1_0 e^{tx}2x dx = \frac{2xe^{tx}}{t} - \int^1_0 e^{tx}2 dx <br /> = \frac{2}{t}(xe^{tx} - e^t + 1)[/tex]

b)

[tex]E\left(X^n\right)=M^{(n)}(0)=\left.\frac{\mathrm {d}^n M_(t)}{\mathrm{d}t^n}\right|_{t=0}[/tex]

[tex]E\left(X^n\right)=M^{(n)}(0)=\left.\frac{\mathrm {d}^n \frac{2}{t}(xe^{tx} - e^t + 1)}{\mathrm{d}t^n}\right|_{t=0}[/tex]

Is that what I'm supposed to do for part b)?
 
Last edited:
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(a) can't be right because the x should have been integrated out. It's easy to correct what you did wrong.

(b) is the correct method, OR it might be easier to express the answer to (a) as a known power series, depending on what it really turns out to be.
 
Sorry, I'm not sure what you meant by " x should have been integrated out". Does that mean that I did the integral wrong?
 
cse63146 said:
Sorry, I'm not sure what you meant by " x should have been integrated out".

I meant [tex]\int_a^b F(x,t)\,dx[/tex] depends on t only, not x. Your (a) has an x in it so there is an (easy to fix) error.
 
Is the 'x' you're referring to - [tex]\frac{2xe^{tx}}{t}[/tex]. If so, I'm not sure how to get rid of it.

Sorry if I'm being difficult
 
Last edited:
Sorry if I'm being difficult

You're not being difficult.

For integration by parts, you tried

[tex]\int_a^b u\,dv=uv-\int_a^b v\,du[/tex]

but the correct formula

[tex]\int_a^b u\,dv=uv\bigr|_a^b-\int_a^b v\,du[/tex]
 
In [tex]uv|^1_0,[/tex] the [tex]|^1_0[/tex] applies to both u and v, or just v?
 
Both u and v
 
Once I use [tex]uv|^1_0[/tex], I get this:

[tex]\frac{2e^t}{t} - \frac{2}{t}(e^t -1) = \frac{2}{t}[/tex].

So when I apply I take the nth derivative I get:

[tex]- \frac{2}{nt^n}[/tex]

but I can't evaluate it at 0 since the denominator = 0. Did I make a mistake somewhere?
 
  • #10
Double check your integration to see if it should be [tex]\frac{2e^t}{t} - \frac{2}{t^2}(e^t -1)=\frac{2te^t-2e^t+2}{t^2}[/tex]

This is made continuous at t=0, which you can verify by l'Hopital or by substituting the Maclaurin series for e^t. In fact, I think it might be easier to use Maclaurin series for e^t to find the moments as well, but I admit I didn't try differentiating.
 
  • #11
Can I leave it like this (cause I don't know how the to find the nth derivative of a quotient)

[tex]\frac{d^n \frac{2te^t-2e^t+2}{t^2}}{dt}[/tex]
 
  • #12
I would prefer to substitute the power series for e^t, simplify, then get the derivatives at 0 from that, to see if there is a pattern to the nth moment.
 

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