Possible outcomes of angular momentum state

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EricTheWizard
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Homework Statement


A particle is in the state [itex]\psi = R(r)(\sqrt{\frac{1}{3}}Y_{11} + i\sqrt{\frac{2}{3}}Y_{10})[/itex]]. If a measurement of the x component of angular momentum is made, what are the possible outcomes and what are the probabilites of each?

Homework Equations


[tex]L_{\pm}Y_{lm}=\sqrt{l(l+1)-m(m \pm 1)}Y_{l(m\pm 1)}[/tex]
[tex]L_x = \frac{1}{2}(L_+ + L_-)[/tex]
[tex]\psi = \sum \alpha_{lm} Y_{lm}[/tex]

The Attempt at a Solution


I understand how to get the expectation value of [itex]L_x[/itex] for the entire wavefunction through the inner product [itex]\langle \psi |L_x| \psi \rangle[/itex] and how to get the Fourier coefficients for the state probabilities, but I don't see how to get the "possible outcomes". Expectation values of individual eigenstates [itex]\langle Y_{lm} |L_x| L_{lm} \rangle[/itex] are always equal to 0, so I don't see how you can measure any outcome but 0 for definite eigenstates. Shouldn't the only outcome be the expectation value of the entire wavefunction?
 
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vela said:
You need to expand the state in terms of the eigenfunctions of Lx.

Could you explain this a bit more? I was under the impression that there were no [itex]L_x Y_{lm}[/itex] eigenstates because the effect of the operator on the spherical harmonics is to raise and lower the "m" index, a la [itex]L_x Y_{lm} = \frac{1}{2}(L_+ +L_-)Y_{lm} = \frac{\hbar}{2}(\sqrt{l(l+1)-m(m+1)}Y_{l(m+1)}+\sqrt{l(l+1)-m(m-1)}Y_{l(m-1)})[/itex], changing the basis vectors. Taking the expectation value of the entire wavefunction only leads to 0 as well, so I'm starting to think that that's it.
 
Is it valid to just take x as equivalent to the z direction (since the coordinates are arbitrary anyways) and define [itex]L_x Y_{lm} = m \hbar Y_{lm}[/itex] and just solve it that way?
 
No, it's not. The wave function as written implies a coordinate system, and the problem is asking you questions with respect to this coordinate system.

Find the matrix representation of Lx, and then find the eigenvalues and eigenvectors of that matrix.