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**George74****Guest**

Suppose R and S are independent and uniformly distributed on (0,1). Let X = R+S and Y = RS. Compute the density of (X,Y), X and Y.

Here is what I have done so far. Since they tell you that X=R+S and Y=RS, this means:

R = Y/S,

S = X-R

and therefore

Y/(X-R) = R

R(X-R) = Y

RX - R^2 = Y

And so

-Y + RX + R^2 = 0

This is equal to R^2 + XR - Y = 0

So now you can use the quadratic formula, with a = 1, b = x, c=-y:

You can have (-x + sqrt(x^2 + 4y))/2

and

(-x - sqrt(x^2 + 4y)/2

The back of my book says that the density is supposed to be

2(x^2 - 4y)^(-1/2), but I'm not sure how to get to that answer from where I left off.

**George74****Guest**

Sorry I meant for that quadratic equation to be R^2 + XR - Y = 0

Therefore a = 1, b = x, c=-y

And so you have (-x + sqrt(x^2 + 4y))/2

or

(-x - sqrt(x^2 + 4y)/2

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