Marginal distribution, double integral clarification

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Gauss M.D.
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Homework Statement



(X,Y) is uniformly distributed over the area

T = {(x,y): 0 < x < 2, -x < 2y < 0}

Find the marginal probability functions ie [itex]f_{x}(x)[/itex] and [itex]f_{y}(y)[/itex].

The Attempt at a Solution



The thing I'm having trouble with is that y depends on x. Am I supposed to rewrite the boundaries for each marginal function? It feels like I'm doing things a roundabout way!

F(x,y) = [itex]\int\int dx dy[/itex]

I.e. to find f(y):

-x < 2y < 0 [itex]\Leftrightarrow[/itex] x > -2y > 0 [itex]\Rightarrow[/itex] -2y < x < 2

Which means I can integrate with respect to x from -2y to 2, leaving me with f(y) = 2 + 2y

And if I instead want to find f(x):

-x < 2y < 0 [itex]\Leftrightarrow[/itex] -(1/2)x < y < 0

Which means I integrate with respect to y from -(1/2)x to 0, leaving me with f(x) = (1/2)x.

Again, it feels pretty roundabout and I wanted to make sure I wasn't missing anything.
 
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Also, if I wanted to find E(X) and E(Y) here after finding f(x) and f(y), what interval should I integrate x*f(x) over, given that they are bounded by each other?