Linear Combos of Y; eigenfunction of L_x

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Homework Statement



I have to find the linear combinations of Y_10, Y_11, and Y_1-1 that are eigenfunctions of L_y. There are three such combinations...

Homework Equations





The Attempt at a Solution



Starting from (L_y)(psi_y)=(alpha)(psi_y),
Using the relationshiP: psi_y= aY_11 + bY_10 + cY_1-1
And: L_y=(i/2)(L_(-) - L_(+))

I solved it to the point where I got to:
(alpha)(psi_y) = (alpha)aY_11 + (alpha)bY_10 + (alpha)cY_1-1 = (i/sqrt(2))(bY_1-1 - bY_11 + (a-c)Y_10)

What I have to solve is this system of equations for when alpha=0, 1, -1:
(ib/sqrt(2)) = (alpha)c
(-ib/sqrt(2) = (alpha)a
i(a-c)/sqrt(2) = (alpha)b

So for instance, when alpha=-1, the answers I know are: a=1/2, c=-1/2, b=-i/sqrt(2).

Which gives one of the three linear combinations: psi_y=(1/2)Y_11 - (i/sqrt(2))Y_10 - (1/2)Y_1-1.



However, I have no idea how to solve that system of equations, though I really feel like I should :( So I guess it really boils down to me not knowing the math... help..?
 
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Do you know how to find eigenvalues and eigenvectors? You have three simultaneous relations between a,b and c. Write down the whole set as matrix multiplying the column vector (a,b,c)^t. Then use the fact that a matrix equation of the form A \mathbf{a} = \mathbf{0} has nontrivial solutions iff det A = 0. The solution of the charcteristic polynomial gives you the possible values of alpha. Substituting those back into your matrix equation will give you the appropriate values of a,b and c.
 
Can you lead me to a website that explains how to solve it that way? I think I've heard of that method but never done it myself...
 
Actually, unless I misunderstood you, I guess I already know the possible values of alpha, 0, 1, and -1. I'm just having a brain freeze and cannot figure out how to solve this set of equations for values of a, b, and c after substituting in each value of alpha...
 
You need to prove that alpha = -1,0,1. You do this by finding the eigenvalues of that matrix.

Do you know how to write the system of equations

(ib/sqrt(2)) = (alpha)c
(-ib/sqrt(2) = (alpha)a
i(a-c)/sqrt(2) = (alpha)b

as a matrix?
 
No :(
 
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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