How to compute a mean square average

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SUMMARY

The discussion focuses on computing the mean square average of the expression ##<(x_3 - x_1)^2>## using known equations involving ##<(x_1 - x_2)^2>## and ##<(x_2 - x_3)^2>##. The user successfully deduces that the cross products are zero, leading to the conclusion that ##<(x_3 - x_1)^2> = - ##. The solution involves expanding the squared terms and simplifying the expressions based on the properties of expected values.

PREREQUISITES
  • Understanding of statistical mechanics concepts, particularly mean square averages.
  • Familiarity with the properties of expected values in probability theory.
  • Knowledge of algebraic manipulation of expressions involving squared terms.
  • Basic understanding of the variables involved in the equations, such as ##K_b##, ##T##, and ##\gamma##.
NEXT STEPS
  • Study the properties of expected values in statistical mechanics.
  • Learn about the implications of zero cross terms in statistical equations.
  • Explore more complex examples of mean square averages in different contexts.
  • Review algebraic techniques for manipulating polynomial expressions involving squares.
USEFUL FOR

Students and professionals in physics, particularly those studying statistical mechanics, as well as mathematicians interested in probability theory and algebraic expressions.

JD_PM
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Homework Statement



We know that

$$< (x_1 - x_2)^2 > = \frac{K_bT}{K}$$

$$< (x_2 - x_3)^2 > = \frac{K_bT}{\gamma}$$

What's ##< (x_3 - x_1)^2 >## equal to?

Homework Equations

The Attempt at a Solution



I have tried: ##< (x_2 - x_3)^2 > - < (x_1 - x_2)^2 >## but did not get ##< (x_3 - x_1)^2 >##

How can I get it?

Thanks
[/B]
 
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##<(x_1 - x_2)^2> = <x_1^2 - 2x_1x_2 + x_2^2 > = <x_1^2> - 2<x_1 x_2> + <x_2^2>## and similarly for ##<(x_3 - x_1)^2>## and ##<(x_2 - x_3)^2>##.

That should give you a clue on how to combine them to get your desired result, but you need to know something about the cross terms like ##<x_1 x_2>##. You didn't tell us what these variables are, but information you have on them will probably tell you what those terms are (perhaps 0).

I'm just guessing here. I don't know what it is you're trying to get or what you've tried and why you didn't get the desired result. Perhaps show your work so far?
 
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RPinPA said:
##<(x_1 - x_2)^2> = <x_1^2 - 2x_1x_2 + x_2^2 > = <x_1^2> - 2<x_1 x_2> + <x_2^2>## and similarly for ##<(x_3 - x_1)^2>## and ##<(x_2 - x_3)^2>##.

That should give you a clue on how to combine them to get your desired result, but you need to know something about the cross terms like ##<x_1 x_2>##. You didn't tell us what these variables are, but information you have on them will probably tell you what those terms are (perhaps 0).

I'm just guessing here. I don't know what it is you're trying to get or what you've tried and why you didn't get the desired result. Perhaps show your work so far?

Yes thanks I think I got it. The key is that the cross products are zero. I expanded both and did ##< (x_2 - x_3)^2 > - < (x_1 - x_2)^2 >##

$$<(x_1 - x_2)^2> = <x_1^2 - 2x_1x_2 + x_2^2 > = <x_1^2> - 2<x_1 x_2> + <x_2^2>$$

$$<(x_2 - x_3)^2> = <x_2^2 - 2x_2x_3 + x_3^2 > = <x_2^2> - 2<x_2 x_3> + <x_3^2>$$

$$< (x_2 - x_3)^2 > - < (x_1 - x_2)^2 > = <x_3^2> - 2<x_2 x_3> + 2<x_1 x_2> - <x_1^2> = <x_3^2> - <x_1^2> = < (x_3 - x_1)^2 >$$

I think it is OK but please let me know if you agree.
 

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