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A physics homework assignment for a course named phys 560, due on october 1, 2007. The assignment involves calculating various properties of a given wave function, including expectation values and uncertainties of position and momentum operators. The wave function is given by ψ(x) = cxe−((x−a)2/2σ2), and the students are asked to find the expectation values and uncertainties of position and momentum operators, as well as the relationship between position and momentum uncertainties. The document also includes a brief discussion on the gamma function and its properties, which may be useful for solving some of the integrals. The assignment also includes a problem on an ensemble of particles and their measurement probabilities.
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Homework FOUR Ch 4: due October 1, 2007 PHYS 560
lem. If using Mathematica, Maple, etc for evaluating some of the integrals, of course
please note this. It is in your interests to examine the integrals carefully to consider how
one might do them given only some integral tables. Also, the section on Γ functions
at the end of the book will be very useful. I have changed the notation from Shankar
slightly so that we use σ as the parameter of width in the function. Although the valid
interval is not stated, note that wave function appears to be valid from −∞ to +∞ (that
is, it is normalizable). Given the wave equation below, calculate many things. Note, this
is NOT the same wavefunction in book (because of that extra x!)
ψ(x) = Cxe
−(x−a)
2
2 σ
2
(a) Find expectation value of 〈
X〉 and 〈
2 〉.
(b) Find the uncertainty (or the root mean square deviation) of
(c) Find the wave function expressed in momentum space,
ψ(p).
(d) Find the the expectation values 〈
P 〉 and 〈
2 〉.
(e) Find the uncertainty in
2
.
(f) Using work from above, Find the ∆
where |l z
= 1, 0 , − 1 〉 are the possible eigenstates of the operator
z
. (See the text book
problem in the chapter for the operators
Lz ,
Lx,
Ly. These eigenstates are orthonormal.
Although it is not necessary to turn it in, convince yourself that these operators do not
commute (and find the commutation rules), and convince yourself that, (as they are all
represented in the same basis set), that basis set for the representation is that of the
eigenkets of
z
(a) The state |ψ 0 〉 as given is not normalized. Normalize it. That is now |ψ 0 〉.
(b) Calculate the eigenkets and eigenvalues for the
x
operator. Calculate the eigenkets
and eigenvalues for
2
z
(These are used in next problem). Write down (because it
should be trivial) the eigenkets and eigenvalues for
z
(c) For this ensemble, find 〈
z
〉 and 〈
x
(d) For the ensemble of particles in |ψ 0
〉, an experimenter measures the observable l x
associated with
x
. Calculate the probability that the observer measures l x
and l x
= 0, and l x
= −1? What is the probability that the observer measures
l x
= .2? (Trick question).
(e) Experimenter takes ensemble of particles in |ψ 0 〉 and measures Lx, then takes those
particles with l x
= 0 and performs a second measurement L z
. What is the prob-
ability in that second measurement, that the experimenter measures any particles
with l z
revision printed: September 24, 2007 Professor Thompson
Due October 1, 2007
(f) Now, Experimenter takes ensemble in |ψ 0
〉, and measures L z
, then takes those par-
ticles with l z
= 0 and performs second measurements, L x
. What is the probability
in that second measurement, that the experimenter measures any particles with
l x
tonian is
2
z
. (Particles fixed, momentum separated out, solution to that part
trivial as free particle, so don’t worry about it). What is the time dependent probability
for measuring l
2
x
= 1, P (1, t)?
Now a short digression that might help in problem 1. Most integral tables and formula
sheets will give the following integrals,
+∞
0
t
n− 1
e
−t
dt = Γ(n), n 6 = 0, − 1 , − 2 , − 3 , · · ·
+∞
0
e
−t
2
dt = Γ
and much information about the gamma function such as
Γ(n) = (n − 1)! if n is positive integer
Γ(n)Γ(1 − n) =
π
sin(nπ)
π
Γ is finite if n > 0 , Γ(n + 1) = nΓ(n)
n +
1 · 3 · 5 · · · (2n − 1)
n
π
Also check out the appendix of Shankar for additional tools to memorize that make Gamma
functions easy. Please also remember that one must be a little careful when applying the
idea of odd and even integrals. Here are trivial examples that point out a problem that
occasionally arises for students who are being too sloppy in ascertaining if a function is even
or odd about 0.
∞
−∞
dx(x − a) 6 = 0, and
∞
−∞
dx(x − a)
2
6 = 2
∞
0
dx(x − a)
2
. (However, these
functions are even or odd about x = a so, in more the more complicated cases, a change a
variable might be helpful in getting a few pieces to come out that are trivial)
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