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

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Discussion Overview

The discussion centers around the mathematical expansion of the expression <(N - )^2>, specifically focusing on how to manipulate and simplify this expression involving averages and variances in a statistical context.

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant seeks to understand how to expand the expression <(N - )^2>, indicating that < and > denote averages.
  • Another participant suggests that expanding the square leads to the average of three terms being the sum of their averages, noting that the average of a constant remains the same.
  • There is a proposed expansion resulting in - 2>, with a question about its equivalence to - <2N> - <2>.
  • Clarification is provided that the last term in the equivalence should be positive, indicating a potential error in the previous expansion.
  • Participants discuss simplifying <2N> and <2> to achieve a more concise result, with one participant arriving at - 2.
  • Another participant raises a concern about the equation 2 = + 2, suggesting it may contain an error and noting that the expression represents the variance: - 2 = Var(N).

Areas of Agreement / Disagreement

Participants express differing views on the correctness of certain expansions and simplifications, particularly regarding the interpretation of the equation 2 = + 2. There is no consensus on the final form of the expression or its implications.

Contextual Notes

Some assumptions about the properties of averages and constants are not explicitly stated, and the discussion includes unresolved mathematical steps and potential errors in the proposed equations.

mitch_1211
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Basically I would like to know how to expand:

[itex]\left\langle[/itex](N - [itex]\left\langle[/itex] N [itex]\right\rangle[/itex])2[itex]\right\rangle[/itex]

<(N - <N>)^2>

Where < and > represent [itex]\left\rangle\right\langle[/itex] 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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