Eigenfunctions and dirac notation for a quantum mechanical system.

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The discussion focuses on finding a complete orthonormal set of eigenfunctions for the operator \widehat{A} in a quantum mechanical system, where the operator has specific actions on the states |1> and |2>, and annihilates states |n> for n ≥ 3. Participants explore the implications of the operator's action, particularly how it relates to eigenvalues and eigenvectors, concluding that |1> + |2> is an eigenvector with an eigenvalue of +1, while |1> - |2> has an eigenvalue of -1. There is confusion around bra-ket notation and the calculation of probabilities for repeated measurements of the observable. The conversation highlights the importance of understanding the definitions of eigenvectors and eigenvalues in quantum mechanics. Overall, the thread reflects a struggle to grasp these concepts and their applications in quantum systems.
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QUESTION
A quantum mechanical system has a complete orthonormal set of energy eigenfunctions,
|n> with associate eigenvalues, En. The operator \widehat{A} corresponds to an observable such that
Aˆ|1> = |2>
Aˆ|2> = |1>
Aˆ|n> = |0>, n ≥ 3
where |0> is the null ket. Find a complete orthonormal set of eigenfunctions for
\widehat{A}. The observable is measured and found to have the value +1. The system is unperturbed and then after a time t is remeasured . Calculate the probability
that +1 is measured again.


I would really appreciate any guidance on this. I cannot find this in my book at all. I know my teacher has spoken about it bra-ket notation and such. but it never really made sense. where can I find examples of problems like this but not this.
 
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Paintjunkie said:
QUESTION
A quantum mechanical system has a complete orthonormal set of energy eigenfunctions,
|n> with associate eigenvalues, En. The operator \widehat{A} corresponds to an observable such that
Aˆ|1> = |2>
Aˆ|2> = |1>
Aˆ|n> = |0>, n ≥ 3
where |0> is the null ket. Find a complete orthonormal set of eigenfunctions for
\widehat{A}. The observable is measured and found to have the value +1. The system is unperturbed and then after a time t is remeasured . Calculate the probability
that +1 is measured again.


I would really appreciate any guidance on this. I cannot find this in my book at all. I know my teacher has spoken about it bra-ket notation and such. but it never really made sense. where can I find examples of problems like this but not this.

You could start out by telling me what ##{\widehat A}(|1>+|2>)## and ##{\widehat A}(|1>-|2>)## are.
 
Aˆ(|1>+|2>) = |2> + |1> ?
Aˆ(|1>−|2>) = |2> - |1> ? I really don't know
 
I found this I feel like it should help me but I don't know...

For every observable A, there is an operator \hat{A} which acts upon the
wavefunction so that, if a system is in a state described by |ψ>, the
expectation value of A is
<A>= <ψ|\hat{A}|ψ>= ∫ dx ψ*(x) \hat{A} ψ(x)

that integral is from -∞ to ∞
 
ok so I am reading a little more and.

Aˆ(|1>+|2>) = Aˆ|1>+Aˆ|2> ==>α=1, β=1
Aˆ(|1>−|2>) = Aˆ|1>-Aˆ|2> ==>α=1,β=-1

<1|2> = <-2|1>


idk this does not really make sense to me
 
Paintjunkie said:
Aˆ(|1>+|2>) = |2> + |1> ?
Aˆ(|1>−|2>) = |2> - |1> ? I really don't know

Yes, A^(|1>+|2>)=|1>+|2> and A^(|1>-|2>)=|2>-|1>=(-1)*(|1>-|2>). What does that tell about eigenvalues and eigenvectors of A^?
 
that they are linear and Hermitian

or I guess that's for A^...
 
Paintjunkie said:
that they are linear and Hermitian

or I guess that's for A^...

Be more specific. Looking at those two equations I see two eigenvectors of A^ and their corresponding eigenvalues.
 
maybe that En is 1 and 2 ?
 
  • #10
Paintjunkie said:
maybe that En is 1 and 2 ?

Noo. x is an eigenvector of A^ if A^(x)=cx for some constant c. What does A^(|1>+|2>)=|1>+|2> tell you?
 
  • #11
is the probability that |1> will give 2 at t=0 |En|2 and that equals 1 ?
 
  • #12
Dick said:
Noo. x is an eigenvector of A^ if A^(x)=cx for some constant c. What does A^(|1>+|2>)=|1>+|2> tell you?

I guess that means that α and β are 1?
 
  • #13
Paintjunkie said:
I guess that means that α and β are 1?

That's still not saying anything about eigenvalues or eigenvectors. Look, A^(|1>+|2>)=|1>+|2> tells me that |1>+|2> is an eigenvector of A^. Why do I say that and what's the corresponding eigenvalue?
 
  • #14
I don't know I give up. thanks for trying man.
 
  • #15
Paintjunkie said:
I don't know I give up. thanks for trying man.

Yeah, something isn't clicking here. But in case you decide to take another crack at it, I'm trying to get you to see that |1>+|2> is an eigenvector of A^ with an eigenvalue of +1 and |1>-|2> is an eigenvector of A^ with an eigenvalue of -1. Review the definition of eigenvector, there's nothing very hard about this part. You are just getting confused by other stuff.
 

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