How to prove tail sum formula of XY, given that X and Y are jointly distributed and non-negative?

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I have come up with 2 approaches but I'm not sure which one would be more appropriate.

1) $E[XY] = \sum_{m = 1}^{\infty} kP(X = k) * \sum_{n = 1}^{\infty} tP(Y=t)$

2) $E[XY] = \int_{-\infty}^{\infty}\int_{-\infty}^{\infty}xyf_{X,Y}(x,y)dxdy$

I am asked to prove the following.

$$E[XY] = \sum_{m=1}^{\infty}\sum_{n=1}^{\infty} P(X \geq m, Y \geq n)$$