Double Expectation: Proving E(aX|Y) = aE(X|Y)

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Therefore, E(aX|Y) = aE(X|Y) holds true according to the definition. This shows that E(aX|Y) = aE(X|Y) is satisfied.
  • #1
oyth94
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For two random variables X and Y , we can define E(X|Y) to be the function of Y that satisfi es
E(Xg(Y)) = E(E(X|Y)g(Y))
for any function g. Using this de finition show that E(aX|Y ) = aE(X|Y ).

so according to the definition do i start with this?:

E(aX|Y) = E(aE(X|Y)|Y)
if so how do i continue from there?
 
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  • #2
Yes, you start with this. Now use the definition to show that E(aE(X|Y)|Y) = aE(X|Y):Let g(Y) = aE(X|Y). ThenE(aX|Y) = E(g(Y)) = E(aE(X|Y)|Y) = aE(E(X|Y)|Y) = aE(X|Y)
 

What is double expectation?

Double expectation is a mathematical concept that involves finding the expected value of a variable when taking into account the expected value of another variable.

What is the formula for E(aX|Y)?

The formula for E(aX|Y) is aE(X|Y), where a is a constant and X and Y are variables.

How is double expectation related to conditional expectation?

Double expectation is related to conditional expectation because it involves finding the expected value of a variable while considering the expected value of another variable, which is the basis of conditional expectation.

Why is it important to prove E(aX|Y) = aE(X|Y)?

Proving E(aX|Y) = aE(X|Y) is important because it ensures that the concept of double expectation is properly understood and applied. It also allows for the use of this formula in more complex mathematical calculations.

How is double expectation used in scientific research?

Double expectation is used in scientific research to analyze and understand the relationship between different variables. It allows for the consideration of multiple factors when making predictions or drawing conclusions, leading to more accurate and reliable results.

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