Assignment 11 Solutions - Quantum Physics I | PHYS 401, Assignments of Quantum Physics

Material Type: Assignment; Professor: Cohen; Class: Quantum Physics I; Subject: Physics; University: University of Maryland; Term: Unknown 1989;

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Physics 401---Due November 28
1. Suppose we have two physical observables S and T which in quantum mechanics are
associated with Hermitian operators
S
ˆ
and
T
ˆ
. These operators do not necessarily
commute. Further, suppose that the system is in an eignenstate of
S
ˆ
with eigenvalue
n
s
:
ψψ n
sS =
ˆ
. Suppose one were to make two consecutive measurements of
the system, say first measure T and then S. There is some probability that the
measurement would yield
m
t
when measuring T and then
n
s
when measuring S.
We can denote this probability
nmst
P
. Alternatively one could first measure S and
obtian
n
s
and then measure T and obtain
m
t
. We can denote this probalitiy
mn ts
P
.
Show that
2
mnnm tsst PP =
. Recall that after a measurement the system is an
eigenstate of the measured operator; the probability that one is in this state is the
absolute value squared of the inner product state of the system and the eigenstate
in question.
2. Consider the infinites square-well from 0 to a that we studied earlier in the semester.
The state
represents the nth energy eigenstate of the system.
a. Show that the operator
x
ˆ
is given by
( ) ( )
a
xk
a
xj
a
a
kj
xdxkjx ππ sinsin
ˆ
0
2
,
=
b. Show that operator
2
ˆ
x
is given by
( ) ( )
a
xk
a
xj
a
a
kj
xdxkjx ππ sinsin
ˆ2
0
2
,
2
=
c. Show that the matrix elements for
x
ˆ
are given by
( )
+
=
=+
jia
kj
kj
jka
kxj
kj
for
)(
)1(14
for
ˆ
2222
2
1
π
.
d. Show that the diagonal matrix elements for
2
ˆ
x
are given by
2
22
2
2
1
3
1
ˆa
j
jxj
= π
.
3. This problem explores the relationship between the diagonal matrix elements of the
square of an operator to the off-diagonal matrix elements
pf2

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Physics 401---Due November 28

  1. Suppose we have two physical observables S and T which in quantum mechanics are associated with Hermitian operators (^) S ˆ^ and (^) T ˆ^. These operators do not necessarily commute. Further, suppose that the system is in an eignenstate of (^) S ˆ^ with eigenvalue s n (^) : S ˆ^ ψ = sn ψ. Suppose one were to make two consecutive measurements of the system, say first measure T and then S. There is some probability that the measurement would yield t^ m when measuring T and then sn^ when measuring S. We can denote this probability Ptm^ sn. Alternatively one could first measure S and obtian sn^ and then measure T and obtain tm^. We can denote this probalitiy Ps^ ntm. Show that 2 Pt (^) m sn = Psnt m. Recall that after a measurement the system is an eigenstate of the measured operator; the probability that one is in this state is the absolute value squared of the inner product state of the system and the eigenstate in question.
  2. Consider the infinites square-well from 0 to a that we studied earlier in the semester. The state n^ represents the nth energy eigenstate of the system.

a. Show that the operator x ˆ is given by (^ )^ (^ a )

k x a j x a a j k x j k dx x π π ˆ sin sin 0 2 ,

b. Show that operator (^) x ˆ^2 is given by

( j a^ x ) ( ka^ x )

a a j k x j k dx x π π ˆ (^) sin sin 2 0 2 , 2

c. Show that the matrix elements for (^) x ˆ are given by

a i j j k j k a k j j x k jk for ( )

for ˆ 2 2 2 2 2 1 π

d. Show that the diagonal matrix elements for (^) x ˆ^2 are given by 2 2 2 2 2

ˆ (^) a j j x j  

π

  1. This problem explores the relationship between the diagonal matrix elements of the square of an operator to the off-diagonal matrix elements

a. Explain on general grounds why =^ ∑

k j O j jO k 2 2 ˆ ˆ where O ˆ^ is an operator and the set of states denoted j^ form an orthonormal basis. (Hint: First show that j O ˆ^ k jO ˆ k kO ˆ j 2 =

b. From part a we have for O ˆ^ = x ˆ: = ∑

k j x j jx k 2 2 ˆ ˆ. Verify numerically that this is true for 1 ˆ^1 x^2 using the eigenbasis of states of the infinite square well from problem 1. Note that the sum is over an infinite number of states but it converges rapidly. How many states do you need to get accuracy to 1 part in 1000? How many to get accuracy to 1 part in 10000? Griffihs 3.23, 3.