Find the probability distribution

AI Thread Summary
The discussion revolves around finding the probability distribution function (pdf) of Y = X^2 given the initial pdf f(x) = (2/9)(x-1) for -1 < x < 2. The range of Y is established as 1 ≤ y ≤ 4, and the cumulative distribution function (cdf) of Y is being derived. Participants suggest integrating the pdf over the appropriate intervals, emphasizing caution with y > 1 to avoid including the boundary. A participant expresses confusion over the integration limits and the form of the original pdf, questioning if it should be (2/9)(x + 1) instead. The conversation highlights the complexities of transforming the pdf through squaring and integrating correctly.
relinquished™
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Given the probability distribution function

<br /> <br /> f(x) = \frac{2}{9}(x-1), -1&lt;x&lt;2<br /> <br />

find the pdf of Y = X^2

My Solution:

When x = -1, y = 1 and when x = 2, y = 4, so the range of y is

<br /> <br /> 1 \leq y \leq 4<br /> <br />

So to find the pdf of Y = X^2, we need to find the cdf of Y. Since Y is nontrivial over the interval 1 \leq y \leq 4,

<br /> <br /> F(y) = P(1 \leq Y \leq y)<br /> =P(1 \leq x^2 \leq y)<br /> <br />

I'm at a loss here. I do not know how I should deal with square rooting the x, since x^2 \leq y is rewritten as -\sqrt{y} \leq x \leq \sqrt{y}

Any suggestions?
 
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What you have is correct: -\sqrt{y}\leqx\leq\sqrt{y}. Now integrate your pdf for x, (2/9)(x-1) from -y to y (be careful about y> 1!).
 
err... when you mean about be careful of y>1, do you mean that I have to separate the integral like this:

<br /> <br /> \int^{1}_{-\sqrt{y}} f(x)dx + \int^{\sqrt{y}}_{1} f(x)dx<br /> <br />

Because I know that y=1 should not be within the range of y (since y is just greater than 1)

Edit:

I got a cdf of -4\sqrt{y}. I am sure I did something wrong and it must have something to do with that y>1 precaustion...
 
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Hello relinquished! Isn't it that it should be 2/9 (x + 1) as the given?
 
well... if the pdf really is \frac{2}{9}(x+1) then I should look back at the book ^^;
 
I don't think it is found in the book.
 
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