How to Calculate Uncertainty of an Operator with Known State

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    Operator Uncertainty
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SUMMARY

The calculation of uncertainty for an operator, represented as \(\Delta\Omega^2 = \langle \Psi | (\Omega - \langle \Omega \rangle)^2 | \Psi \rangle\), involves understanding the definition of \((\Omega - \langle \Omega \rangle)\). This expression represents an operator minus a scalar, where the scalar is multiplied by the identity operator, allowing for proper subtraction. Additionally, uncertainty can be calculated by summing the products of probabilities of all states with their deviations from the expected value squared, which is equivalent to the operator method discussed.

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Vaal
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Given the state and an operator I know the uncertainty of this operator can be calculated via

(see next post latex is being weird, sorry)
 
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\Delta\Omega2=<\Psi|(\Omega - <\Omega>)2|\Psi> (hope that is legible)

but I'm confused as to how the middle, (\Omega -<\Omega>) is defined. Isn't this an operator minus a scalar?

I know I can also find \Delta\Omega2 by summing the the products of the probabilities of all the states with the states deviation from the expected value squared, but I thought there was a way to do this without having to know all the probabilities. Thanks.
 
Vaal said:
\Delta\Omega2=<\Psi|(\Omega - <\Omega>)2|\Psi> (hope that is legible)

but I'm confused as to how the middle, (\Omega -<\Omega>) is defined. Isn't this an operator minus a scalar?
The scalar is multiplied by the identity operator. Then you can subtract them, and things work out like you'd expect.

Vaal said:
I know I can also find \Delta\Omega2 by summing the the products of the probabilities of all the states with the states deviation from the expected value squared, but I thought there was a way to do this without having to know all the probabilities. Thanks.

I think that's exactly what the above is doing. Whenever you have \langle\Psi|\Omega|\Psi\rangle, you can envision breaking down the state into a weighted average of eigenstates of the operator. Then you know that the operator's effect on each eigenstate will just be multiplying it by the eigenvalue, so that allows you to turn the calculation into a weighted average of eigenvalues. For the above expression, I believe you can do the same thing: break down \Psi into weighted eigenstates, then apply the operator to each eigenstate separately to get the eigenvalue, subtract the expectation value from it, square it, and then sum them all up according to the original weights on the states.
 
Yeah, I thought that might be that case but I wasn't sure. Thanks.

The two definitely are pretty much equivalent, I just wasn't quite seeing how so, thanks again.
 

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