Unclear about the Heisenberg uncertainty principle

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Discussion Overview

The discussion centers around the Heisenberg uncertainty principle, specifically focusing on the mathematical expressions involved in calculating expectation values and standard deviations in quantum mechanics. Participants explore the definitions and implications of these expressions, as well as their relationship to classical statistical mechanics.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Conceptual clarification

Main Points Raised

Areas of Agreement / Disagreement

Participants generally agree on the mathematical definitions related to the uncertainty principle, but the discussion introduces a new perspective on the relationship between quantum and classical concepts, which remains unresolved.

Contextual Notes

The discussion includes assumptions about the definitions of operators and their eigenvalues, as well as the interpretation of standard deviations in different contexts, which are not fully explored or resolved.

Nerro
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Hi everybody,

I have a slightly noobish question and I've searched for the answer unsuccesfully so I'm posting it here.

I'm was reading up on the uncertainty principle when I ran into two phrases that I don't quite understand. They are <A²> and <A>². Am I too apply this as \int \psi^* A^2 \psi d\tau and \int(\psi^*A\psi)^2 d\tau?

Without understanding this the Heisenberg uncertainty principle makes not much sense to me...
 
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Your <A^2> is correct, but &lt;A&gt;^2=[\int\psi^* A\psi d\tau]^2.
 
So \Delta A = \sqrt{\int{\psi^* A^2 \psi d\tau} - (\int{\psi^* A \psi d\tau})^2}?
 
Yes. If you're wondering where that formula comes from, one starts by defining \Delta A as the square root of the expectation value of the square of the deviation of A from <A>, i.e. as the standard deviation of A:

\Delta A = \sqrt { &lt; A - &lt;A&gt; &gt;^2}

By multiplying out the square and collecting terms one arrives at

\Delta A = \sqrt { &lt;A^2&gt; - &lt;A&gt;^2 }

which is usually easier to calculate.
 
jtbell said:
If you're wondering where that formula comes from, one starts by defining \Delta A as the square root of the expectation value of the square of the deviation of A from <A>. i.e. as the standard deviation of A.

I start by defining delta (x) as the size of the single QM object (eigenvalue=1 of the s-aj number operator, which commute with the Hamiltonian). And I am wondering how it happens that it is closely related (but not identical) to the standard deviation of X which is the macroscopic quantity. Then I ask what the standard deviation of X describes in the classical statistical mechanics: the size of the statistical sub ensemble or the size of the volume (ball) occupied by that sub ensemble. Please explain all that.

Regards, Dany.
 
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