QM Oscillator: Find Eigenvalues & Eigenvectors of \hat{a}^2

  • Thread starter Thread starter div curl F= 0
  • Start date Start date
  • Tags Tags
    Oscillator Qm
Join the discussion
Ask a follow-up here, or get your own question answered by working scientists, mathematicians and engineers — people, not an autocomplete.
Real named experts · corrections over time · the nuance an AI answer skips
2 replies · 2K views
div curl F= 0
Messages
18
Reaction score
0

Homework Statement



"Write down the operator [tex]\hat{a}^2[/tex] in the basis of the energy states [tex]|n>[/tex]. Determine the eigenvalues and eigenvectors of the operator [tex]\hat{a}^2[/tex] working in the same basis.

You may use the relation: [tex]\sum_{k = 0}^{\infty} \frac{|x|^{2k}}{(2k)!} = cosh(|x|)[/tex]"


Homework Equations





The Attempt at a Solution




For the first part, I've got the abstract version of the operator to be:

[tex]\hat{a}^2 = \sum_{n=0}^{\infty} \sqrt{n(n-1)} |n-2><n|[/tex]

but the second part is giving me some trouble. I'm not too sure how to set about it, I've tried a few different approaches but nothing ends up using the above relation. I've tried a coherent state: [tex]\hat{a} |n> = \lambda |n>[/tex], and I've tried a ket composed on the basis n: [tex]|\psi> = \sum_{n=0}^{\infty} C_n |n>[/tex].


I'd be grateful if somebody could show me the way with this question, I've just hit a brick wall with it.
 
Physics news on Phys.org
Well, [itex]\hat{a}^2[/itex] commutes with [itex]\hat{a}[/itex] so any eigenvector of the latter is an eigenvector of the former. So to compute the eigenvalues, just operate [itex]\hat{a}^2[/itex] on a coherent state.
 
To continue along the lines of the previous post, assume |A> is an eigenvector of a^2 with eigenvalue A^2. Does this mean it is an eigenvector of a with eigenvalue A? Well, first of all, we see it could just as well have eigenvalue -A. And because of this, we could in general expect to find:

|A> = |B> + |C>

where a|B>=A|B> and a|C>=-A|C>, giving:

a|A> = A |B> - A |C>

so that |A> is not an eigenvector of a unless either |B> or |C> is zero, and yet:

a^2 |A> = A^2 |B> + A^2 |C> = A^2 |A>

In other words, while all the eigenvectors of a will still be eigenvectors of a^2, there will in general be some new ones as well, given by linear combinations of a-eigenvectors with eigenvalues that are negatives of each other. With a little work you can show these are the only new eigenvectors.