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

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SUMMARY

The discussion focuses on finding the eigenvalues and eigenvectors of the operator \(\hat{a}^2\) in the basis of energy states \(|n\rangle\). The operator is expressed as \(\hat{a}^2 = \sum_{n=0}^{\infty} \sqrt{n(n-1)} |n-2\rangle\langle n|\). It is established that \(\hat{a}^2\) commutes with \(\hat{a}\), indicating that any eigenvector of \(\hat{a}\) is also an eigenvector of \(\hat{a}^2\). The analysis reveals that while all eigenvectors of \(\hat{a}\) remain eigenvectors of \(\hat{a}^2\), new eigenvectors can emerge from linear combinations of eigenvectors of \(\hat{a}\) with eigenvalues that are negatives of each other.

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  • Proficiency in summation notation and series expansions, particularly hyperbolic functions
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Homework Statement



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

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


Homework Equations





The Attempt at a Solution




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

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

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: \hat{a} |n> = \lambda |n>, and I've tried a ket composed on the basis n: |\psi> = \sum_{n=0}^{\infty} C_n |n>.


I'd be grateful if somebody could show me the way with this question, I've just hit a brick wall with it.
 
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Well, \hat{a}^2 commutes with \hat{a} so any eigenvector of the latter is an eigenvector of the former. So to compute the eigenvalues, just operate \hat{a}^2 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.
 

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