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Motivation.
Chapter V notes for [1].
Notes
Problems
Problem 1.
Statement.
Obtain
for spin 1 in the representation in which
and
are diagonal.
Solution.
For spin 1, we have

and are interested in the states
. If, like angular momentum, we assume that we have for 

and introduce a column matrix representations for the kets as follows

then we have, by inspection

Note that, like the Pauli matrices, and unlike angular momentum, the spin states
have not been considered. Do those have any physical interpretation?
That question aside, we can proceed as in the text, utilizing the ladder operator commutators

to determine the values of
and
indirectly. We find
![\begin{aligned}\left[{S_{+}},{S_{-}}\right] &= 2 \hbar S_z \\ \left[{S_{+}},{S_{z}}\right] &= -\hbar S_{+} \\ \left[{S_{-}},{S_{z}}\right] &= \hbar S_{-}.\end{aligned} \hspace{\stretch{1}}(3.8) \begin{aligned}\left[{S_{+}},{S_{-}}\right] &= 2 \hbar S_z \\ \left[{S_{+}},{S_{z}}\right] &= -\hbar S_{+} \\ \left[{S_{-}},{S_{z}}\right] &= \hbar S_{-}.\end{aligned} \hspace{\stretch{1}}(3.8)](http://s0.wp.com/latex.php?latex=%5Cbegin%7Baligned%7D%5Cleft%5B%7BS_%7B%2B%7D%7D%2C%7BS_%7B-%7D%7D%5Cright%5D+%26%3D+2+%5Chbar+S_z+%5C%5C+%5Cleft%5B%7BS_%7B%2B%7D%7D%2C%7BS_%7Bz%7D%7D%5Cright%5D+%26%3D+-%5Chbar+S_%7B%2B%7D+%5C%5C+%5Cleft%5B%7BS_%7B-%7D%7D%2C%7BS_%7Bz%7D%7D%5Cright%5D+%26%3D+%5Chbar+S_%7B-%7D.%5Cend%7Baligned%7D+%5Chspace%7B%5Cstretch%7B1%7D%7D%283.8%29&bg=fafcff&fg=2a2a2a&s=0)
Let

Looking for equality between
, we find

so we must have

Furthermore, from
, we find

We must have
. We could probably pick any
, and
, but assuming we have no reason for a non-zero phase we try

Putting all the pieces back together, with
, and
, we finally have

A quick calculation verifies that we have
, as expected.
Problem 2.
Statement.
Obtain eigensolution for operator
. Call the eigenstates
and
, and determine the probabilities that they will correspond to
.
Solution.
The first part is straight forward, and we have

Taking
we get

with eigenvectors proportional to

The normalization constant is
. Now we can call these
, and
but what does the last part of the question mean? What’s meant by
?
Asking the prof about this, he says:
“I think it means that the result of a measurement of the x component of spin is
. This corresponds to the eigenvalue of
being
. The spin operator
has eigenvalue
”.
Aside: Question to consider later. Is is significant that
?
So, how do we translate this into a mathematical statement?
First let’s recall a couple of details. Recall that the x spin operator has the matrix representation

This has eigenvalues
, with eigenstates
. At the point when the x component spin is observed to be
, the state of the system was then

Let’s look at the ways that this state can be formed as linear combinations of our states
, and
. That is

or

Letting
, this is

We can solve the
and
with Cramer’s rule, yielding

or

It is
and
that are probabilities, and after a bit of algebra we find that those are

so if the x spin of the system is measured as
, we have a $50\
Is that what the question was asking? I think that I’ve actually got it backwards. I think that the question was asking for the probability of finding state
(measuring a spin 1 value for
) given the state
or
.
So, suppose that we have

or (considering both cases simultaneously),

or

Unsurprisingly, this mirrors the previous scenario and we find that we have a probability
of measuring a spin 1 value for
when the state of the operator
has been measured as
(ie: in the states
, or
respectively).
No measurement of the operator
gives a biased prediction of the state of the state
. Loosely, this seems to justify calling these operators orthogonal. This is consistent with the geometrical antisymmetric nature of the spin components where we have
, just like two orthogonal vectors under the Clifford product.
Problem 3.
Statement.
Obtain the expectation values of
for the case of a spin
particle with the spin pointed in the direction of a vector with azimuthal angle
and polar angle
.
Solution.
Let’s work with
instead of
to eliminate the
factors. Before considering the expectation values in the arbitrary spin orientation, let’s consider just the expectation values for
. Introducing a matrix representation (assumed normalized) for a reference state

we find

Each of these expectation values are real as expected due to the Hermitian nature of
. We also find that

So a vector formed with the expectation values as components is a unit vector. This doesn’t seem too unexpected from the section on the projection operators in the text where it was stated that
, where
was a unit vector, and this seems similar. Let’s now consider the arbitrarily oriented spin vector
, and look at its expectation value.
With
as the the rotated image of
by an azimuthal angle
, and polar angle
, we have

that is

The
projections of this operator

are just the Pauli matrices scaled by the components of 

so our
expectation values are by inspection

Is this correct? While
is a unit norm operator, we find that the expectation values of the coordinates of
cannot be viewed as the coordinates of a unit vector. Let’s consider a specific case, with
, where the spin is oriented in the
plane. That gives us

so the expectation values of
are

Given this is seems reasonable that from 3.43 we find

(since we don’t have any reason to believe that in general
is true).
The most general statement we can make about these expectation values (an average observed value for the measurement of the operator) is that

with equality for specific states and orientations only.
Problem 4.
Statement.
Take the azimuthal angle,
, so that the spin is in the
x-z plane at an angle
with respect to the z-axis, and the unit vector is
. Write

for this case. Show that the probability that it is in the spin-up state in the direction
with respect to the z-axis is

Also obtain the expectation value of
with respect to the state
.
Solution.
For this orientation we have

Confirmation that our eigenvalues are
is simple, and our eigenstates for the
eigenvalue is found to be

This last has unit norm, so we can write

If the state has been measured to be

then the probability of a second measurement obtaining
is

Expanding just the inner product first we have

So our probability of measuring spin up state
given the state was known to have been in spin up state
is

Finally, the expectation value for
with respect to
is

Sanity checking this we observe that we have
as desired for the
case.
Problem 5.
Statement.
Consider an arbitrary density matrix,
, for a spin
system. Express each matrix element in terms of the ensemble averages
where
.
Solution.
Let’s omit the spin direction temporarily and write for the density matrix

For the ensemble average (no sum over repeated indexes) we have
![\begin{aligned}[S] = \left\langle{{S}}\right\rangle_{av} &= w_{+} {\langle {+} \rvert} S {\lvert {+} \rangle} +w_{-} {\langle {-} \rvert} S {\lvert {-} \rangle} \\ &= \frac{\hbar}{2}( w_{+} -w_{-} ) \\ &= \frac{\hbar}{2}( w_{+} -(1 - w_{+}) ) \\ &= \hbar w_{+} - \frac{1}{{2}}\end{aligned} \begin{aligned}[S] = \left\langle{{S}}\right\rangle_{av} &= w_{+} {\langle {+} \rvert} S {\lvert {+} \rangle} +w_{-} {\langle {-} \rvert} S {\lvert {-} \rangle} \\ &= \frac{\hbar}{2}( w_{+} -w_{-} ) \\ &= \frac{\hbar}{2}( w_{+} -(1 - w_{+}) ) \\ &= \hbar w_{+} - \frac{1}{{2}}\end{aligned}](http://s0.wp.com/latex.php?latex=%5Cbegin%7Baligned%7D%5BS%5D+%3D+%5Cleft%5Clangle%7B%7BS%7D%7D%5Cright%5Crangle_%7Bav%7D+%26%3D+w_%7B%2B%7D+%7B%5Clangle+%7B%2B%7D+%5Crvert%7D+S+%7B%5Clvert+%7B%2B%7D+%5Crangle%7D+%2Bw_%7B-%7D+%7B%5Clangle+%7B-%7D+%5Crvert%7D+S+%7B%5Clvert+%7B-%7D+%5Crangle%7D+%5C%5C+%26%3D+%5Cfrac%7B%5Chbar%7D%7B2%7D%28+w_%7B%2B%7D+-w_%7B-%7D+%29+%5C%5C+%26%3D+%5Cfrac%7B%5Chbar%7D%7B2%7D%28+w_%7B%2B%7D+-%281+-+w_%7B%2B%7D%29+%29+%5C%5C+%26%3D+%5Chbar+w_%7B%2B%7D+-+%5Cfrac%7B1%7D%7B%7B2%7D%7D%5Cend%7Baligned%7D+&bg=fafcff&fg=2a2a2a&s=0)
This gives us
![\begin{aligned}w_{+} = \frac{1}{{\hbar}} [S] + \frac{1}{{2}}\end{aligned} \begin{aligned}w_{+} = \frac{1}{{\hbar}} [S] + \frac{1}{{2}}\end{aligned}](http://s0.wp.com/latex.php?latex=%5Cbegin%7Baligned%7Dw_%7B%2B%7D+%3D+%5Cfrac%7B1%7D%7B%7B%5Chbar%7D%7D+%5BS%5D+%2B+%5Cfrac%7B1%7D%7B%7B2%7D%7D%5Cend%7Baligned%7D+&bg=fafcff&fg=2a2a2a&s=0)
and our density matrix becomes
![\begin{aligned}\rho &=\frac{1}{{2}} ( {\lvert {+} \rangle}{\langle {+} \rvert} +{\lvert {-} \rangle}{\langle {-} \rvert} )+\frac{1}{{\hbar}} [S] ({\lvert {+} \rangle}{\langle {+} \rvert} -{\lvert {+} \rangle}{\langle {+} \rvert}) \\ &=\frac{1}{{2}} I+\frac{1}{{\hbar}} [S] ({\lvert {+} \rangle}{\langle {+} \rvert} -{\lvert {+} \rangle}{\langle {+} \rvert}) \\ \end{aligned} \begin{aligned}\rho &=\frac{1}{{2}} ( {\lvert {+} \rangle}{\langle {+} \rvert} +{\lvert {-} \rangle}{\langle {-} \rvert} )+\frac{1}{{\hbar}} [S] ({\lvert {+} \rangle}{\langle {+} \rvert} -{\lvert {+} \rangle}{\langle {+} \rvert}) \\ &=\frac{1}{{2}} I+\frac{1}{{\hbar}} [S] ({\lvert {+} \rangle}{\langle {+} \rvert} -{\lvert {+} \rangle}{\langle {+} \rvert}) \\ \end{aligned}](http://s0.wp.com/latex.php?latex=%5Cbegin%7Baligned%7D%5Crho+%26%3D%5Cfrac%7B1%7D%7B%7B2%7D%7D+%28+%7B%5Clvert+%7B%2B%7D+%5Crangle%7D%7B%5Clangle+%7B%2B%7D+%5Crvert%7D+%2B%7B%5Clvert+%7B-%7D+%5Crangle%7D%7B%5Clangle+%7B-%7D+%5Crvert%7D+%29%2B%5Cfrac%7B1%7D%7B%7B%5Chbar%7D%7D+%5BS%5D+%28%7B%5Clvert+%7B%2B%7D+%5Crangle%7D%7B%5Clangle+%7B%2B%7D+%5Crvert%7D+-%7B%5Clvert+%7B%2B%7D+%5Crangle%7D%7B%5Clangle+%7B%2B%7D+%5Crvert%7D%29+%5C%5C+%26%3D%5Cfrac%7B1%7D%7B%7B2%7D%7D+I%2B%5Cfrac%7B1%7D%7B%7B%5Chbar%7D%7D+%5BS%5D+%28%7B%5Clvert+%7B%2B%7D+%5Crangle%7D%7B%5Clangle+%7B%2B%7D+%5Crvert%7D+-%7B%5Clvert+%7B%2B%7D+%5Crangle%7D%7B%5Clangle+%7B%2B%7D+%5Crvert%7D%29+%5C%5C+%5Cend%7Baligned%7D+&bg=fafcff&fg=2a2a2a&s=0)
Utilizing

We can easily find

So we can write the density matrix in terms of any of the ensemble averages as
![\begin{aligned}\rho =\frac{1}{{2}} I+\frac{1}{{\hbar}} [S_i] \sigma_i=\frac{1}{{2}} (I + [\sigma_i] \sigma_i )\end{aligned} \begin{aligned}\rho =\frac{1}{{2}} I+\frac{1}{{\hbar}} [S_i] \sigma_i=\frac{1}{{2}} (I + [\sigma_i] \sigma_i )\end{aligned}](http://s0.wp.com/latex.php?latex=%5Cbegin%7Baligned%7D%5Crho+%3D%5Cfrac%7B1%7D%7B%7B2%7D%7D+I%2B%5Cfrac%7B1%7D%7B%7B%5Chbar%7D%7D+%5BS_i%5D+%5Csigma_i%3D%5Cfrac%7B1%7D%7B%7B2%7D%7D+%28I+%2B+%5B%5Csigma_i%5D+%5Csigma_i+%29%5Cend%7Baligned%7D+&bg=fafcff&fg=2a2a2a&s=0)
Alternatively, defining
, for any of the directions
we can write

In equation (5.109) we had a similar result in terms of the polarization vector
, and the individual weights
, and
, but we see here that this
factor can be written exclusively in terms of the ensemble average. Actually, this is also a result in the text, down in (5.113), but we see it here in a more concrete form having picked specific spin directions.
Problem 6.
Statement.
If a Hamiltonian is given by
where
, determine the time evolution operator as a 2 x 2 matrix. If a state at
is given by

then obtain
.
Solution.
Before diving into the meat of the problem, observe that a tidy factorization of the Hamiltonian is possible as a composition of rotations. That is

So we have for the time evolution operator

Does this really help? I guess not, but it is nice and tidy.
Returning to the specifics of the problem, we note that squaring the Hamiltonian produces the identity matrix

This allows us to exponentiate
by inspection utilizing

Writing
, and
, we have

and thus

Note that as a sanity check we can calculate that
as expected.
Now for
, we have

It doesn’t seem terribly illuminating to multiply this all out, but we can factor the results slightly to tidy it up. That gives us

Problem 7.
Statement.
Consider a system of spin
particles in a mixed ensemble containing a mixture of 25\
Solution.
We have

Giving us

Note that we can also factor the identity out of this for

which is just:

Recall that the ensemble average is related to the trace of the density and operator product

But this, by definition of the ensemble average, is just

We can use this to compute the ensemble averages of the Pauli matrices

We can also find without the explicit matrix multiplication from 3.70

(where to do so we observe that
for
and
, and
.)
We see that the traces of the density operator and Pauli matrix products act very much like dot products extracting out the ensemble averages, which end up very much like the magnitudes of the projections in each of the directions.
Problem 8.
Statement.
Show that the quantity
, when simplified, has a term proportional to
.
Solution.
Consider the operation

With
, we have

which gives us the commutator
![\begin{aligned}\left[{ \boldsymbol{\sigma} \cdot \mathbf{p}},{V(r)}\right]&=- \frac{i \hbar}{r} \frac{\partial {V(r)}}{\partial {r}} (\boldsymbol{\sigma} \cdot \mathbf{x}) \end{aligned} \hspace{\stretch{1}}(3.72) \begin{aligned}\left[{ \boldsymbol{\sigma} \cdot \mathbf{p}},{V(r)}\right]&=- \frac{i \hbar}{r} \frac{\partial {V(r)}}{\partial {r}} (\boldsymbol{\sigma} \cdot \mathbf{x}) \end{aligned} \hspace{\stretch{1}}(3.72)](http://s0.wp.com/latex.php?latex=%5Cbegin%7Baligned%7D%5Cleft%5B%7B+%5Cboldsymbol%7B%5Csigma%7D+%5Ccdot+%5Cmathbf%7Bp%7D%7D%2C%7BV%28r%29%7D%5Cright%5D%26%3D-+%5Cfrac%7Bi+%5Chbar%7D%7Br%7D+%5Cfrac%7B%5Cpartial+%7BV%28r%29%7D%7D%7B%5Cpartial+%7Br%7D%7D+%28%5Cboldsymbol%7B%5Csigma%7D+%5Ccdot+%5Cmathbf%7Bx%7D%29+%5Cend%7Baligned%7D+%5Chspace%7B%5Cstretch%7B1%7D%7D%283.72%29&bg=fafcff&fg=2a2a2a&s=0)
Insertion into the operator in question we have

With decomposition of the
into symmetric and antisymmetric components, we should have in the second term our 
![\begin{aligned}(\boldsymbol{\sigma} \cdot \mathbf{x}) (\boldsymbol{\sigma} \cdot \mathbf{p} )=\frac{1}{{2}} \left\{{\boldsymbol{\sigma} \cdot \mathbf{x}},{\boldsymbol{\sigma} \cdot \mathbf{p}}\right\}+\frac{1}{{2}} \left[{\boldsymbol{\sigma} \cdot \mathbf{x}},{\boldsymbol{\sigma} \cdot \mathbf{p}}\right]\end{aligned} \hspace{\stretch{1}}(3.74) \begin{aligned}(\boldsymbol{\sigma} \cdot \mathbf{x}) (\boldsymbol{\sigma} \cdot \mathbf{p} )=\frac{1}{{2}} \left\{{\boldsymbol{\sigma} \cdot \mathbf{x}},{\boldsymbol{\sigma} \cdot \mathbf{p}}\right\}+\frac{1}{{2}} \left[{\boldsymbol{\sigma} \cdot \mathbf{x}},{\boldsymbol{\sigma} \cdot \mathbf{p}}\right]\end{aligned} \hspace{\stretch{1}}(3.74)](http://s0.wp.com/latex.php?latex=%5Cbegin%7Baligned%7D%28%5Cboldsymbol%7B%5Csigma%7D+%5Ccdot+%5Cmathbf%7Bx%7D%29+%28%5Cboldsymbol%7B%5Csigma%7D+%5Ccdot+%5Cmathbf%7Bp%7D+%29%3D%5Cfrac%7B1%7D%7B%7B2%7D%7D+%5Cleft%5C%7B%7B%5Cboldsymbol%7B%5Csigma%7D+%5Ccdot+%5Cmathbf%7Bx%7D%7D%2C%7B%5Cboldsymbol%7B%5Csigma%7D+%5Ccdot+%5Cmathbf%7Bp%7D%7D%5Cright%5C%7D%2B%5Cfrac%7B1%7D%7B%7B2%7D%7D+%5Cleft%5B%7B%5Cboldsymbol%7B%5Csigma%7D+%5Ccdot+%5Cmathbf%7Bx%7D%7D%2C%7B%5Cboldsymbol%7B%5Csigma%7D+%5Ccdot+%5Cmathbf%7Bp%7D%7D%5Cright%5D%5Cend%7Baligned%7D+%5Chspace%7B%5Cstretch%7B1%7D%7D%283.74%29&bg=fafcff&fg=2a2a2a&s=0)
where we expect
. Alternately in components

Problem 9.
Statement.
Solution.
TODO.
References
[1] BR Desai. Quantum mechanics with basic field theory. Cambridge University Press, 2009.