Possible outcomes of angular momentum state

EricTheWizard
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Homework Statement


A particle is in the state \psi = R(r)(\sqrt{\frac{1}{3}}Y_{11} + i\sqrt{\frac{2}{3}}Y_{10})]. 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


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

The Attempt at a Solution


I understand how to get the expectation value of L_x for the entire wavefunction through the inner product \langle \psi |L_x| \psi \rangle 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 \langle Y_{lm} |L_x| L_{lm} \rangle 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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You need to expand the state in terms of the eigenfunctions of Lx.
 
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 L_x Y_{lm} eigenstates because the effect of the operator on the spherical harmonics is to raise and lower the "m" index, a la 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)}), 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.
 
That's right. The spherical harmonics are not eigenstates. You have to find linear combinations which are eigenstates of Lx.
 
Is it valid to just take x as equivalent to the z direction (since the coordinates are arbitrary anyways) and define L_x Y_{lm} = m \hbar Y_{lm} 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.
 
To solve this, I first used the units to work out that a= m* a/m, i.e. t=z/λ. This would allow you to determine the time duration within an interval section by section and then add this to the previous ones to obtain the age of the respective layer. However, this would require a constant thickness per year for each interval. However, since this is most likely not the case, my next consideration was that the age must be the integral of a 1/λ(z) function, which I cannot model.
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