Find the PDF of W when W= X + Y + Z. Random Varibles, Uniform Distrubutions.

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Homework Help Overview

The problem involves finding the probability density function (PDF) of the random variable W, defined as the sum of three independent uniformly distributed random variables X, Y, and Z, each ranging from 0 to 1. The original poster attempts to apply Theorem 3.8.1 to derive the PDF of W through integration, while expressing uncertainty about the bounds of integration and the resulting piecewise function.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • The original poster discusses their approach to finding the PDF by first calculating the PDF of S = X + Y and then considering the intervals for W. They express confusion about the bounds of integration and the correctness of their derived functions. Other participants engage by asking if further help is needed and acknowledging the original poster's progress.

Discussion Status

The discussion reflects an ongoing exploration of the problem, with participants providing encouragement and acknowledging progress. There is no explicit consensus on the final solution, but some guidance has been offered regarding the bounds of integration.

Contextual Notes

The original poster notes uncertainty about the integration bounds and the piecewise nature of the PDF, indicating potential gaps in understanding the setup of the problem.

Dwolfson
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Homework Statement



1. Let X , Y and Z be independent random variables, uniformly distributed on the interval
from 0 to 1. Use Theorem 3.8.1 twice to find the pdf of W = X + Y + Z .

Thm. 3.8.1 States: If X & Y are continuous random varibles wth pdfs fx(x) and fy(y), respectively then

fw(w)=[tex]\int[/tex][tex]^{INF}_{-INF}[/tex] fx(x)fy(w-x) dx

Homework Equations



When setting up the problem I understand how to do it once.. I set S=X+Y and get the PDF of s to be a piece wise defined function:

Keep in mind that I am completely unsure of my bounds of integration -- I do not have any idea if these bounds are correct -- But I tried to use my best logic and intuition to figure them out.

PDF of s = s when 0[tex]\leq[/tex]s<1
PDF of s = 2-s when 1[tex]\leq[/tex]S[tex]\leq[/tex]2

The Attempt at a Solution



I figured that there will be three intervals for the final solution:

0[tex]\leq[/tex]w<1

1[tex]\leq[/tex]w<2

2[tex]\leq[/tex]w[tex]\leq[/tex]3

Some of these may be strictly < or > but that is part of my confusion...

So my intuition tells me:

I should calculate:

[tex]\int[/tex][tex]^{W}_{0}[/tex] S ds
Giving PDF of W = w^2/2 for 0[tex]\leq[/tex]w<1

After this I am very lost:

I Imagine the interval from 1 to 2 will be the sum of two integrals... [tex]\int[/tex][tex]^{w}_{1}[/tex] 2-S ds +
[tex]\int[/tex][tex]^{w-1}_{0}[/tex] S ds
which gives : W+1 as the PDF ( I Think this is incorrect by the way).

I justified my bounds by this logic:

If S is between 0 and 1 we'd use the pdf(s) that = S meaning that if W is between 1 and 2 and S is between 0 and 1 we'd integrate from S=0 to S=w-1

If S is between 1 and 2 we'd use the pdf(s) that = 2-S from 1 to W becuase S has to be at least one and less than W.

For the third interval of W is between 2 and 3:

I used this integral:

[tex]\int[/tex][tex]^{w-1}_{1}[/tex] 2-S ds

I justified my bounds by this logic:

Since W=X+Y+Z and S=X+Y S would have to be atleast 1 for this interval to make sense... Since if S=1 and Z=1 then W=2. The upper bound of this integral would be W-1 because if W is maximized at 3 then S would be 2. So for any number between 2 and 3 the upper bound is W-1.Thank You for your help,
-Derek
 
Last edited:
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the solution:

[tex]f_w(w)=\begin{cases}<br /> \frac{w^2}{2} & 0<w\leq 1 \\<br /> -\frac{3}{2}+3 w-w^2 & 1<w\leq 2 \\<br /> \frac{1}{2} (-3+w)^2 & 2<w\leq 3 \\<br /> 0 & \text{Everywhere } \text{else}<br /> \end{cases}[/tex]
 
Thanks... I like to work backwards.. now I can figure out the bounds.

Appreciated.
 
did you get it? need some more help?
 
I did eventually figure it out.. Thank you for the followup.
 

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