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This lecture had two main sections. In the first section, we talked about the expectation values of Sx, Sy, Sz, and S^2
In the second section, we began to talk about the addition of angular momenta.
We know that <math><s^2> = \frac{3}{4}\hbar^2</math> and we know that <math><s_y>^2 = (\frac{1}{2}\hbar)^2</math>
so we can say that <math><s^2> \; > \; (\frac{1}{2}\hbar)^2</math>
Another way to look at this is to note that <math><s^2>=<s_x^2>+<s_y^2>+<s_z^2> </math>
and <math>\sigma_s_x = <s_x^2> - <s_x>^2</math>
but we also know that <math>\sigma_s_x > 0</math>. We know that because we consider <math><s_z></math> to be a 'special' axis in which we know the spin, which makes the spin of the other two axes have some nonzero uncertainty.
Therefore, we can say that <math><s_x^2> \:>\: <s_x>^2</math>.
In other news, let's look at <math>s_z</math>. Remember that <math>\uparrow</math> and <math>\chi_+</math> mean the same thing. We can also represent this spin up state as the column vector <math>$\begin{pmatrix} 1\\ 0\end{pmatrix}$</math>
So, therefore, <math> <s_z> = (1 \: 0) s_z \left( \begin{array}{c}
1
0 \end{array} \right) = \frac{1}{2}\hbar </math>
Squaring this, we have <math> <s_z>^2 = (\frac{1}{2}\hbar)^2 </math>
We also know that <math> <s_z>^2 = <s_z^2> </math> because <math>s_z</math> is an eigenstate with 0 uncertainty. Also, we have <math> <s_x> = <s_y> = 0</math>
Yuichi at this point asked a good question: How can we have <math><s_x> = <s_y> = 0</math> but <math><s_x^2> = <s_y^2> = (\frac{1}{2}\hbar)^2</math>? That seems a little strange when you first look at it.
Here's the answer: If you measure <math>s_x</math> you will always get <math>\pm\frac{1}{2}\hbar</math>. If you don't square your results, the average will be zero. But if you do square the results, you will always get <math>(\frac{1}{2}\hbar)^2</math>. The same thing goes for <math>s_y</math> and <math>s_y^2</math>.
On the subject of what you can measure when, we briefly discussed a Stern-Gerlach thought experiment: If you send a beam of 1/2 spin particles through a S-G apparatus and separate particles in the z-direction, you have separated your particles into two groups, one with spin up in the z-direction and one with spin down in the z-direction.
Now, take the z-spin up particles, and run them through a second S-G apparatus which is aligned in the x direction. Now, you have two groups of particles, one with spin up in the x-direction and one with spin down in the x-direction, all of which have z-spin up, right?
Wrong! When you separate the particles based on their x-direction spin, you lose all your knowledge of the z-direction spin. In fact, you cause the z-direction spin to become indeterminate. This is because x-direction spin and z-direction spin are incompatible observables.
Example: when looking at fine structure, <math>\vec{L}</math> and <math>\vec{S}</math> will be important and useful. In a magnetic field, the hamiltonian will have an extra term, so that <math>\hat{H} = \alpha \vec{L} \cdot \vec{S} + (\frac{p^2}{2m} + V)</math> , and <math>\alpha</math> can be determined from E&M, which can be seen in chapter 6.
Notice that we are going to ignore the <math>(\frac{p^2}{2m} + V)</math> term of the hamiltonian since that part isn't changing from the magnetic field; we're not interested in that part of it right now.
Anyway, if the magnetic field we apply is in the <math>\hat{z}</math> direction, then we have <math>\vec{B}=B_z</math> and <math>\hat{H}=-\alpha B_z S_z</math> In that case, which is associated with the Zeeman Effect, <math>S_z</math> is an eigenfunction of <math>\hat{H}</math>
If the magnetic field is not on, then the <math>\vec{L} \cdot \vec{S}</math> becomes important, and <math>[\vec{L} \cdot \vec{S},S_z] \neq 0</math>
So, we want to find eigenfunctions of <math>\vec{L} \cdot \vec{S}</math>, and in some situations, we may also want to find <math>\vec{S_1} \cdot \vec{S_2}</math> eigenfunctions.
Well, if we let <math>\vec{J} = \vec{L}+\vec{S}</math>, we'll have the following… <math>[J^2,\vec{L} \cdot \vec{S}] = 0</math> and <math>[J_z,\vec{L} \cdot \vec{S}] = 0</math>, and then we can use J to play with <math>\vec{L} \cdot \vec{S}</math> in a simple useful way that will come up in Chapter 6.
In short, let's just trust that this addition of angular momentum technique we develop in this chapter will be very useful later, and move on to the technique itself.
Me or the other guy will finish the notes later; happy Thanksgiving!
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