How to expand the average <(N - <N>)^2>

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The discussion focuses on expanding the expression <(N - <N>)^2> to derive its components. The initial steps involve expanding the square and applying the properties of averages, leading to the expression <N^2> - 2<N><N> + <N>^2. Participants clarify that the last term should be positive, resulting in the simplified form <N^2> - <N>^2. The conversation concludes with the identification of the expression as the variance of N, represented as Var(N) = <N^2> - <N>^2. Understanding this relationship is crucial for further analysis in statistical contexts.
mitch_1211
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Basically I would like to know how to expand:

\left\langle(N - \left\langle N \right\rangle)2\right\rangle

<(N - <N>)^2>

Where < and > represent \left\rangle\right\langle and denote the average of the quantity the enclose.

So this is pretty much the average of [N - N(average)] 2

thank you
 
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Well first expand the square, and the average of three terms you'll get is the sum of their averages.

And note that the average of a constant is the same constant.
 
So by expanding i get:

<N2-2N<N> - <N>2>

and you're saying this is equivalent to:

<N2> - <2N<N>> - <<N>2>

is that right?
 
mitch_1211 said:
So by expanding i get:

<N2-2N<N> - <N>2>

and you're saying this is equivalent to:

<N2> - <2N<N>> - <<N>2>

is that right?

Yes except the last term should be positive.
 
You can simplify <2N<N>> and <<N>2> and combine them to get a nice, short result.
 
mfb said:
You can simplify <2N<N>> and <<N>2> and combine them to get a nice, short result.

Yea I figured that, I simplified

<N2> - 2N<N> + <N>2

into

<N2> - 2<N>2 + <N>2

so I get

<N2> - <N>2

Also I know that <N>2 = <N> + <N>2

Is there a simple way of showing that without resulting to a probability with sums of exponentials etc?
 
mitch_1211 said:
Also I know that <N>2 = <N> + <N>2
I think that equation has an error.

Your expression is simply the variance: <N2> - <N>2 = Var(N)
 
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