The Cov(X,Y) on a square dart board

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The discussion centers on calculating the covariance Cov(X, Y) for a point (X, Y) chosen uniformly from a unit square dartboard. The covariance formula is given as Cov(X,Y) = E(XY) - E(X)E(Y), with both E(X) and E(Y) computed as 0.5. Participants express difficulty in calculating E(XY) and explore whether a double integral approach could yield the correct result. One contributor finds that their calculation of E(XY) results in zero, suggesting that X and Y are independent, which is a common outcome in such examples. The conversation emphasizes the relationship between independence and covariance in this context.
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A point (X, Y) is picked at random, uniformly from the square with corners at (0,0), (1,0), (0,1) and (1,1). Compute Cov{X, Y}.

I think of this as darts thrown at a unit square dart board.

Cov(X,Y) = E(XY) - E(X)E(Y).

I compute that E(X)=E(Y)= 0.5 using the integral xf(x).

But I cannot figure out how to approach computing E(XY). Or is there a better strategy for solving this?

THANKS!
 
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Welcome to PF!

BookMark440 said:
I compute that E(X)=E(Y)= 0.5 using the integral xf(x).

But I cannot figure out how to approach computing E(XY).

Hi BookMark440! Welcome to PF! :smile:

(I'm not sure exactly what you mean by f(x))

If you got E(X) from ∫x, why can't you get E(XY) from ∫∫xy ?
 
Thanks. I did that and ended up getting zero for an answer, which always makes me think I made an error. In this case, I guess it just verifies that X,Y are independent.
 
A covariance of zero is very common in textbook examples.
 
I was reading a Bachelor thesis on Peano Arithmetic (PA). PA has the following axioms (not including the induction schema): $$\begin{align} & (A1) ~~~~ \forall x \neg (x + 1 = 0) \nonumber \\ & (A2) ~~~~ \forall xy (x + 1 =y + 1 \to x = y) \nonumber \\ & (A3) ~~~~ \forall x (x + 0 = x) \nonumber \\ & (A4) ~~~~ \forall xy (x + (y +1) = (x + y ) + 1) \nonumber \\ & (A5) ~~~~ \forall x (x \cdot 0 = 0) \nonumber \\ & (A6) ~~~~ \forall xy (x \cdot (y + 1) = (x \cdot y) + x) \nonumber...
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