Conditional Expectation of Sum

In summary, the conversation is discussing the equation E(A+B|C) = E(A|C) + E(B|C) and whether it is true or not. The definition of expectation and conditional expectation is also mentioned and the conversation concludes with a simplification of the equation to show that it is indeed true.
  • #1
CantorSet
44
0
Hi everyone,

I have a feeling the following property is true but I can't find it stated in any textbook/online reference. Maybe it's not true... Can someone verify/disprove this equation?

[itex]E(A+B|C) = E(A|C) + E(B|C)[/itex]
 
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  • #2
CantorSet said:
Hi everyone,

I have a feeling the following property is true but I can't find it stated in any textbook/online reference. Maybe it's not true... Can someone verify/disprove this equation?

[itex]E(A+B|C) = E(A|C) + E(B|C)[/itex]

Is this a homework question?

Regardless of your answer, what do you know about the definition of expectation and in particular conditional expectation?
 
  • #3
If you mean E((A+B)|C) by E(A+ B|C) , yes.
 
  • #4
chiro said:
Is this a homework question?

Regardless of your answer, what do you know about the definition of expectation and in particular conditional expectation?

It's not a homework question.

By definition of conditional expectation, we have in the discrete case
[itex]E(A|C=c) = \sum_{a} a P(A=a|C=c)[/itex]

[itex]E(B|C=c) = \sum_{b} b P(B=b|C=c)[/itex]

[itex]E((A+B)|C=c) = \sum_{a,b} (a+b) P(A=a,B=b|C=c)[/itex]

It doesn't seem like the sum of the first two should equal the last. But maybe my sum formula for the last one is wrong.
 
  • #5
We should be able to make progress in simplifying:
CantorSet said:
[itex]E((A+B)|C=c) = \sum_{a,b} (a+b) P(A=a,B=b|C=c)[/itex]
because proving [itex] E(A+B) = E(A) + E(B) [/itex] would involve dealing with a similar equation.

[itex] \sum_{a,b}(a+b) P(A=a,B=b|C=c) = \sum_{a,b}a P(A=a,B=b|C=c) + \sum_{a,b} b P(A=a,B=b|C=c) [/itex]

[itex] = \sum_a \sum_b a P(A=a,B=b|C=c) + \sum_a \sum_b b P(A=a,B=b|C=c) [/itex]

[itex] = \sum_a a \sum_b P(A=a,B=b|C=c) = \sum_b b \sum_a P(A=a,B=b|C=c) [/itex]

[itex] = \sum_a a P(A=a|C=c) + \sum_b b P(B=b|C=c) [/itex]
 
  • #6
Stephen Tashi said:
We should be able to make progress in simplifying:

because proving [itex] E(A+B) = E(A) + E(B) [/itex] would involve dealing with a similar equation.

[itex] \sum_{a,b}(a+b) P(A=a,B=b|C=c) = \sum_{a,b}a P(A=a,B=b|C=c) + \sum_{a,b} b P(A=a,B=b|C=c) [/itex]

[itex] = \sum_a \sum_b a P(A=a,B=b|C=c) + \sum_a \sum_b b P(A=a,B=b|C=c) [/itex]

[itex] = \sum_a a \sum_b P(A=a,B=b|C=c) = \sum_b b \sum_a P(A=a,B=b|C=c) [/itex]

[itex] = \sum_a a P(A=a|C=c) + \sum_b b P(B=b|C=c) [/itex]
Thanks.
 

What is conditional expectation of sum?

Conditional expectation of sum refers to the expected value of the sum of two or more random variables, given a specific event or condition. It is used to calculate the average outcome of a sum when certain conditions are met.

How is conditional expectation of sum calculated?

Conditional expectation of sum is calculated by taking the sum of the individual conditional expectations of each random variable. This can be expressed as E(X+Y|A) = E(X|A) + E(Y|A), where X and Y are random variables and A is the given condition.

What is the difference between conditional expectation and unconditional expectation?

The unconditional expectation refers to the expected value of a random variable without any conditions or restrictions. On the other hand, conditional expectation takes into account a specific event or condition, and calculates the expected value based on that condition.

What are some applications of conditional expectation of sum?

Conditional expectation of sum has various applications in fields such as finance, economics, and statistics. It is used in risk management to calculate the expected value of a portfolio of assets, and in regression analysis to predict the outcome of a dependent variable based on independent variables.

Can conditional expectation of sum be negative?

Yes, conditional expectation of sum can be negative. This means that the sum of the random variables is more likely to have a lower value than the expected value, given the specific condition. It is important to take this into account when using conditional expectation of sum in decision making or analysis.

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