Simplifying Expectations of Dependent Variables

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SUMMARY

The discussion focuses on the simplification of the expected value of the product of dependent and independent variables, specifically E(x1y1x2y2). It establishes that if x1 and x2 are dependent, and y1 and y2 are dependent, but all x variables are independent of all y variables, then E(x1y1x2y2) can be simplified to E(x1x2)E(y1y2). The key takeaway is that while individual independent variables cannot be separated when multiplied with dependent variables, entire groups of independent variables can be separated from dependent groups.

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MaxManus
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Homework Statement



if x1 and x2 are dependent, and y1 and y2 are dependent, but all the x are independent of all the y.

Then how can one simplify

E(x1y1x2y2)?

the textbook says
E(x1x2)E(y1y2)

So is the rule that you can not just separate two independent variables which they are multiplied with a third variable which are dependent on the first variable? But you can separate a group of variables which all the elements in the first group is independent of all the elements in the other group?
 
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MaxManus said:

Homework Statement



if x1 and x2 are dependent, and y1 and y2 are dependent, but all the x are independent of all the y.

Then how can one simplify

E(x1y1x2y2)?

the textbook says
E(x1x2)E(y1y2)

So is the rule that you can not just separate two independent variables which they are multiplied with a third variable which are dependent on the first variable? But you can separate a group of variables which all the elements in the first group is independent of all the elements in the other group?

Just look at what things are independent. Since the X_i are independent of the Y_j
the product U = X1X2 is independent of the product V = Y1Y2, so E(X1Y1X2Y2) = E(UV) = E(U)E(V).

Note: in principle, the (true) result I used--that the Xi being independent of the Yj implies that X1X2 is independent of Y1Y2--needs proof, although it is more-or-less "obvious".

RGV
 
Thanks for the help.
 

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