






Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
This document delves into the principles of quantum mechanics, focusing on the uncertainty principle and the role of operators in the physical hilbert space. It covers the hermitian operators ˆx and ˆp, their matrix elements, and the concept of observables. The document also discusses the concept of eigenvalues and eigenvectors, and how measurements affect the state vector of a particle.
Typology: Study notes
1 / 10
This page cannot be seen from the preview
Don't miss anything!







Northern Illinois University
Fall 2007
(Dated: version printed September 12, 2007)
Brief (well fairly expanded) notes on concepts and topics from Chapter 4, section 1 and 2 and 3.
Shankar’s Chapter Four: The postulates - a general discussion
4.1. THE POSTULATES
more than 4 postulates, but it is merely separating them differently.
X and
X are 〈x
′ |
X|x〉 = xδ(x − x
′ ) and 〈x
′ |
P |x〉 = −iℏδ
′ (x − x
′ )
X are 〈p
′ |
X|p〉 = iℏδ
′ (p − p
′ ) and 〈p
′ |
P |p〉 = pδ(p − p
′ )
P ) ⇔ ω(x →
X, p →
Ω will yield ONE of its eigenvalues ω. If another
particle in state |ψ〉 is measured, also measurement will yield ONE of the eigenvalues of
Ω but not necessarily
the same one. The probability of measuring any particular eigenvalue ωi is P (ωi) ∝ |〈ωi|ψ〉|
2 .
And, upon the measurment, the state vector (i.e., wave function) describing the particle will no longer be
|ψ〉, but will be the |ω i
〉 that is
Ω’s eigenket associated with the eigenvalue ω i
H is the quantized Hamiltonian operator that is related to H for
classical problem (with the x and p changed to corresponding operators
X and
iℏ
d
dt
|Ψ(t)〉 =
H|Ψ(t)〉
4.2. DISCUSSION OF POSTULATES I, II, AND III
fluent in expanding a ket in arbitrary basis sets? Also, how does it apply to the whole endeavour that the eigen-
kets of an operator (assuming non-degenerate eigenvalues) form a complete basis set, (and that of a Hermitian
operators, a complete orthonormal basis set)?
i
|ω i
〉〈ω i
|ψ〉
2 = 〈ψ|ω〉〈ω|ψ〉
means that final state vector of particle will be the eigenket of
Ω. The state changes! (Unless, of course, |ψ〉 is
already an eigenket of
〉 state. All
subsequent measurements of
Ω will give ω i
with 100% probability!
(until we alter the state vector by measuring
Λ and
Ω and that these operators do not commute. Therefore,
they do NOT have the same eigenkets and at least two terms will be non-zero in following expansion
|λ i
j
|ω j
〉〈ω j
|λ i
〉. And vice versa.
associated with
Ω we measure a particular ω i
Λ, the system is in a mixed state with respect to
the eigenkets |λ〉.
Let [
Γ] = 0. Then, the same eigenkets describe both operators.
|ωi〉 and |γi〉 eigenket equations below. Different values for the eigenvalues but same eigenkets.
Ω|ωi〉 = ωi|ωi〉 ≡ ωi|ωi, γi〉 and
Γ|γi〉 = γi|γi〉 ≡ γi|ωi, γi〉
, then the system is in the ket |ω i
〉 ≡ |ω i
, γ i
〉. Just as
any subsequent measurements of
Ω are performed, 100% of the time that particular ωi is measured. And,
if
Γ is measured, 100% of the time the associated, γ i
is measured.
Λ which does not commute with
or
ciated operators commute, the observables/variables are compatible, and if the operators do not commute, the
variables are incompatible.
Occasionally there may be some common eigenkets between two operators, even though the operators do
not commute. (If all eigenkets were the same, then obviously the two operators would commute). However,
doesn’t change the way we would use the postulates.
this later.
i
P (ω i
) = 1, and other things will be auto-
matically a bit easier.
〉 and |ω 2
|ψ〉 =
α|ω 1
〉 + β|ω 2
(|α|
2
2 )
1 / 2
Complications
Eigenkets are distinct and different, even though the eigenvalues are the same (or at least someone
should have gone to the trouble to complete the eigenket basis set)
ω
over i degeneracies
|ω, i〉〈ω, i|
P (ω) =
over i degeneracies
|〈ω, i|ψ〉|
2
But if the initial state were unknown (i.e., the coefficients of the expansion are not known), and a measure-
ment gave a particular results ω that was part of a degenerate subspace in
Ω, we only know that the final state
is mixture. For example, the α’s are unknown below, and are just denoting a mixture of the degenerate states.
|ψ〉 =
over i degen
α i
|ω i
over i degen
α
2
i
1 / 2
However, then the fun begins as theorists and experimentalists can apply various models of the system and
its interactions, and whoever correctly predicts the measurements wins.
The Uncertainty
when measured on an ensemble of systems prepared in the same initial state |ψ〉) is 〈
Ω〉 = 〈ψ|
Ω|ψ〉.
σy =
N ∑
n
(yn − y)
2
1 / 2
where y is the average of the measurements of y. Note that y is in our notation, 〈y〉.
values of y, each distinct value denoted by y i
. Let N i
be the the number of times a particular y i
value is
measured and N the total number of measurements, then Ni/N is the weighting (the probability, P (yi))
of a particular yi in the set. Using this notation, I can rewrite the exact same equation above as
σy =
K ∑
i
P (yi)(yi − y)
2
1 / 2
root-mean-square deviation or y, or the Fluctuations in y, or (important sound effects please go
here) the Uncertainty in y, ∆y.
spectrum)
i
P (ω i
)(ω i
2
1 / 2
or
P (ω)(ω − 〈
2
1 / 2
〈ψ|(
2 |ψ〉
1 / 2
Ω can be a bit confusing, as it is not an operator, (nor is it two operators ∆ and Ω
acting is succession), but it denotes the scalar quantity as calculated by the above equations. Sometimes it will
be noted by ∆ω.
2 〉 − 〈
2
1 / 2
. Derive it as practice in playing
with the notation. (See page 136 Shankar).
Finding Uncertainty as applied to get the famous result on ∆
ˆ X∆
ˆ P , and coincidentally, working with continuous function
The ∆
ˆ X construction
|ψ(x)|dx = 1, and positioned at x = a is given by
ψ(x) =
(π∆
2 )
1 / 4
exp
−(x − a)
2 /2∆
2
and it is valid in range from x = −∞ to x = +∞.
normalization. Gaussians pop up everywhere in life.
X operator are |x〉. The eigenvalues are x. Thus, the eigenvalue spectrum for
X is continuous and P (x) = |〈x|ψ〉|
2 must be interpreted and used as a probability density.
P (x)dx = |〈x|ψ〉|
2 dx is the probability of measuring the position of a particle between x and x + dx
(when the initial state vector of the particle is described by ket |ψ〉).
X for the particle described by the |ψ〉 noted above. It should be equal to (〈
2 〉 − 〈
2 )
1 / 2 , also as
noted even earlier.
∞
−∞
dx〈ψ|x〉〈x|
X|ψ〉
∞
−∞
∞
−∞
dxdx
′
〈ψ|x〉〈x|
X|x
′
〉〈x
′
|ψ〉
∞
−∞
∞
−∞
dxdx
′
〈ψ|x〉(xδ(x − x
′
))〈x
′
|ψ〉 =
∞
−∞
dx〈ψ|x〉x〈x|ψ〉 =
∞
−∞
dx ψ(x)
∗
x ψ(x) =
∞
−∞
dx |ψ(x)|
2
x
Do the same for 〈
2 〉. If one wanted to go through each insertion of identity operators without taking
shortcuts that experienced quantum operators eventually recognize, it would eventually give something that
looked like this,
〈ψ|
2 |ψ〉 =
∞
−∞
∞
−∞
∞
−∞
dxdx
′ dx
′′ 〈ψ|x〉〈x|
X|x
′′ 〉〈x
′′ |
X|x
′ 〉〈x
′ |ψ〉 =
∞
−∞
dx|ψ(x)|x
2
The ∆
ˆ P construction
ψ(p). We only have a representation in x, ψ(x). But,
〈p|ψ〉 =
dx〈p|x〉〈x|ψ〉. Note that p = ℏk and thus we already know (Class Notes set 4 regarding 〈k|x〉) that
〈p|x〉 =
e
−ipx/ℏ
√
2 πℏ
and 〈x|p〉 =
e
+ipx/ℏ
√
2 πℏ
. So
ψ(p) and its complex conjugate, are related to the Fourier transforms of
ψ(x) and ψ
∗ (x). Example, 〈p|ψ〉 =
dx
e
−ipx/ℏ
√
2 πℏ
ψ(x) =
ψ(p). Assuming that we can do those, continue.
〈ψ|
P |ψ〉 =
dpdp
′ 〈ψ|p〉〈p|
P |p
′ 〉〈p
′ |ψ〉
dpdp
′ ˜ ψ
∗ (p) pδ(p − p
′
)
ψ(p
′
) =
dp p|
ψ(p)|
2
〈ψ|
P |ψ〉 =
dxdx
′ 〈ψ|x〉〈x|
P |x
′ 〉〈x
′ |ψ〉
dxdx
′
〈ψ|x〉 (−iℏδ
′
(x − x
′
)) 〈x
′
|ψ〉
= −iℏ
dx〈ψ|x〉
d
dx
〈x|ψ〉
= −iℏ
dxψ
∗
(x)
dψ(x)
dx
Note, the order stays quite important here. It is not equal to −iℏ
dx d(|ψ(x)|
2 )/dx.
P 〉 = 0 for the particular gaussian wavefunction ψ(x) is left as exercise. (Exercise 4.2.
It is zero for any real wavefunction, i.e., when ψ(x) = ψ
∗ (x)).
2 〉, similar shenanigans can be used inserting identity operators until all the terms are terms
that we know.
and the ( ) notation of taking the mean (classical averaging).
i
ρi〈i|
Ω|i〉
that you can repeat the steps) proving
〈Ω〉 = Tr(
Ωˆρ)
This is the expected value that an experimenter would report for the observable
Ω if she performed the
measurement on the ensemble.
probability with a particular ensemble for obtaining a particular measurement ωα, (assuming that the experiment
could pull out one system at random and measure it independently.)
P (ωα) = Tr(Pω α
ρˆ)
caution: distinguish between notation for probability P and projection operator P.
of
), is this the probability of measuring a particular eigenvalue of
Ω or the
probability of measuring a particular eigenvalue of
Λ for which the kets were an orthonormal basis?
ρˆ
†
= ˆρ , Trˆρ = 1 , Trˆρ
2
≤ 1
ρˆ =
k
I : for uniform distribution over k states, (i.e., same number in each state)
ρˆ
2
= ˆρ , Trˆρ
2
= 1 : for pure ensembles
Generalization to more degrees of freedom
P ) when trying to work in spherical coordinates. This is in Chapter 7 The Harmonic Oscillator, for
the last few pages of section 4. (on page 214 (in second edition), and right after exercise 7.4.10 in 1st and 2nd
editions). No wonder we usually do the changes when it is ‘easy’ and in cartesian coordinates.
Corresponding to N Cartesian coordinates x 1 ,... , xN in classical, exist N mutually commuting operators
1
N
. Eigenbasis is coordinate basis |x 1
, x 2
, · · · , x N
′
1
, x
′
2
, · · · , x
′
N
〉 = δ(x 1 − x
′
1
)δ(x 2 − x
′
2
) · · · δ(xN − x
′
N
Xi|ψ〉 = xiψ(x 1 , x 2 , · · · , xN )
, x 2
, · · · , x N
i
|ψ〉 = −iℏ
∂
∂xi
ψ(x 1
, x 2
, · · · , x N
Xi,
Pi).
, x 2
, · · · x N
2 dx 1
dx 2
· · · dx N
is the probability that particle coordinates lie between x 1
, x 2
, · · · , x N
and
x 1 + dx 1 , x 2 + dx 2 , · · · , xN + dxN
assignments xi →
Xi and pi →
Pi → iℏ
∂
∂xi
that is, what if we were already in spherical coordinates? What is 〈r|
Pr |ψ〉? Is it −iℏ
∂
∂r
? More discussion
on this topic and some subtleties in Chapter 7 section 4 after exercise 7.4.10.
4.3. THE SCHRODINGER EQUATION (DOTTING YOUR i’S AND CROSSING YOUR ℏ’S
d
dt
|Ψ(t)〉 =
H|Ψ(t)〉
Often, one will see Ψ as statevector with time dependence, and ψ for time independent solution. However,
it will usually be clear from the context, even if the notation is not consistent.
S, (like spin on electrons) which have no classical counterpart,
(i.e., what is
S in
i
and
j
). See Chapter 14.
2 / 2 m + mω
2 x
2 /2 convert to
2 / 2 m + mω
2 / 2
A is
ambiguous as the two operators do not commute, however, the classical equation it was quantized from
|p − (q/c)A|
2 does not specify order from any fundamental physics involved. Answer becomes to keep the
same functional form
P ˆA but to convert it into form that does not depend on order.
|p − (q/c)A(r, t)|
2
2 m
P − (q/c)
A − (q/c)
2 m
φ (2)
H has No explicit time dependence then |E(t)〉 = |E〉e
−iEt/ℏ The |E〉 are the stationary states. (In the
harmonic oscillator problem, also called the normal modes. In this chapter, Shankar is calling |E〉 normal
modes, mostly because he motivated some equations in this sub section with referring to derivations in Chapter
1 using a simple harmonic oscillator, however, I think it is a bit non-standard to call them normal modes unless
we are specifying
H that have a bit of harmonic oscillator logic. The results are valid anywhere.)
We have seen (review discussion Chapter one) that for NO explicit time dependence of an operator, then
the time dependent eigenkets are merely,
|Ψ(t)〉 = U (t)|Ψ(0)〉
H|E〉 = E|E〉 is time-independent Schrodinger equation
It is just an eigenvalue equation. Find the eigenvalues and eigenkets.
H is hermitian (or better be) and those eigenkets from basis set that spans the relevant space.
U (t) =
E
|E〉〈E|e
−iEt/ℏ
U (t) =
dE|E〉〈E|e
−iEt/ℏ
Choosing a basis set for solving Schrodinger’s equation
where can solve it without referring to either of these bases but staying in the energy representation.
one can convert back to the other basis if necessary. The solution is STILL a solution.
rather in
X already (and the only operator that depends on
P is the same for many Hamiltonians, as it enters
only in the kinetic energy term
P / 2 m. However, it is possible that V can depend on momentum or velocity
(friction?), although I don’t remember any examples that we solve in this class.
V (x) = f x.