This is based on a course by Chris O’Donovan (Spring 2005). All
errors are the responsibility of the author.
The
wave function
This course will mainly be about the (time-independent)
Schrödinger Equation
(1) and it’s solutions, or
approximate solutions.
here is known as the wave function and is found by solving
Equation (1) which is a wave
equation.
Another wave equation is
which is equivalent to
where
.
This is the simple harmonic oscillator and has solutions
with
constants or
with
constant. We note that the constants give boundary conditions.
In the Schrödinger equation (1) with
in one-dimension one gets
with
.
Recall that
here is Plank’s constant
().
The equation
can be solved similarly using Fourier Analysis.
Born interpretation of the wave function
The Born interpretation is that
is the probability of finding a particle in the interval
.
All that quantum mechanics tells us is statistical information.
is the probability density and measuring the position of the particle
collapses the wave function as we know where it is.
Probability
Let
be a probability density then
which is a “normalization condition” (a type of boundary condition). We
calculate the average position
.
Similarly
and
.
One measures the width of a distribution by standard
deviation
However, in quantum theory we usually work with the variance
instead.
Normalization
If
is a solution to Equation (1) then so it
for any constant
and as we said
is a boundary condition. This is how normalized distributions can always
be achieved.
Momentum
In quantum mechanics momentum is different from classical mechanics.
We can work out
.
Then since momentum
so we can guess that
Theorem 2.1 (Ehrenfest’s Theorem).
where we note that
.
Uncertainty principle
A consistent sinusoidal wave has well defined wave length, but not so
well-defined position. If the wave is given a sudden jolt then position
becomes easy to recognize and wavelength is all of a sudden not so
simple to determine.
Debroglies formula states that
where
.
This means that a well-defined wavelength corresponds to a well-defined
momentum.
In fact, position and momentum are conjugate variables and
Heisenberg’s Uncertainty principle states that
Also,
Time
independent Schrödinger equation
If the potential function is time independent then we may separate
the spatial and temporal parts of the Schdödinger equation. Introduce
that
.
Then,
and
.
Now, imposing Schrödinger’s Equations yields
which is equivalent to
so now the left hand side depends on
and the right hand side depends on
which implies both sides are equal to a constant, call it
.
Examining the left hand side; then
meaning
where we have left out the constant because it will go into the
-part.
Examining the right hand side; then
(2) and this is the
Time-Independent Schrödinger Equation.
Solutions to the time-independent Schrödinger equation are called
Stationary states because they have no time dependence.
However, the
will change the phase. Euler’s formula may be useful
(
- proven by Taylor expansion) and the phase will change by
.
The time independent Schrödinger equation is a differential equation
which we write as
where
is called the Hamiltonian differential operator.
Solutions to (2) are enumerated as
and the general solution is
where
are constants. We can write a representation of
as
.
Also
and
which together imply
.
The
infinite square well
This is defined by having our potential
on
and
.
This means that
(our boundary conditions) and inside the well, we seek to solve
implying that
where
.
The solution to this is
.
Boundary condition 1 implies that
,
normalization implies that
,
and boundary condition 2 implies
with
.
So,
meaning that
and
for each
.
Note:
If eigenfunction is bounded, we get discrete eigenvalues (that
is, quantized energy). Otherwise they are continuous.
The
above is called the quantum number
The energies are quantized which means only certain values
are allows by Equation (2) and boundary conditions.
The lowest energy state is called the ground state and
the next lowest is called the first excited state,
etc.
The solutions
are orthonormal. That is
.
Furthermore, the set
is complete in the sense that they span the function space.
is a fourier series representation of
If we operate with
on
from above, we find
as follows;
Notationally we write functions
and operate with
to get
and so
.
Proposition 3.1. Properties of bound state
solutions;
Alternate between odd and even parity - only if
is even (i.e. not semi-infinite)
Increasing number of nodes at each increase in energy
state
Solutions are orthogonal
Completeness
We can write
as well.
Algebraic preliminaries
Matrices
The transpose will be denoted
and
.
The conjugate
.
The Hermitian-conjugate
.
is symmetric if
,
antisymmetric if
,
real if
,
imaginary if
,
Hermitian if
and skew-Hermitian if
.
Inner products will be written as
.
In general, matrix multiplication is not commutative and we define
the commutator
Note that
and
.
The unit matrix (with 1’s on the diagonal) is denoted by
so that inverses
and exists if and only if
.
It is also easy to verify that
.
A matrix is unitary if
and this holds if and only if
.
The rows and columns of unitary matrices form an orthonormal set.
If we have two orthonormal bases
and
we can represent one as a linear combination of the other as
.
This is a linear transformation and so we know the components of a
vector transformation are
meaning that
and we can work out the matrix representing a linear transformation in a
new basis. Let
be a vector that has been transformed by
in basis
.
Then
and thus
(a similarity relation).
One can furthermore show that if both bases
and
are orthonormal, then
is unitary. Because of this, the determinant and trace of matrix
representations for
are unchanged by unitary transform.
Eigenvalues and eigenvectors
is an eigenvector of
is
and if so, then
here is an eigenvalue. In real vector spaces there may or may
not be eigenvalues, but in complex vector spaces every linear
transformation will have eigenvectors and
may be real or complex depending on
.
So, we are looking for solutions
to the equation
.
This will have non-trivial solutions if
which gives a characteristic polynomial equation having
complex roots (where
is the dimension of the space) which are all eigenvalues.
Substituting the
’s
and solving for the kernels provides the eigenvectors and if these span
the space, they form a basis. The matrix representing
with respect to the basis of its eigenvectors will be the diagonal
whose normalized eigenvectors take the form
etc.
A matrix
which cane brought to diagonal form is called diagonalizable
and can be constructed using the normalized eigenvectors as column
vector for
so that
.
Function spaces
A function space is an inner product space where vectors are
functions and inner products are integrals. Note that this definition
where
satisfies all axioms of a vector space and inner product space.
All, except for one thing works here; For an inner product to be
well-defined, the integral must exist (i.e. it is necessary that the
functions be “square-integrable” =
)
and this turns out to be sufficient. Thus, we consider the space of
square-integrable functions.
Example 4.2. The set of polynomials of degree
on the interval
.
A basis is
.
In a function space we have operators such as
and these will behave as linear transformations. The eigenvectors of
linear transformations in a function space are called
eigenfunctions and hermitian operators satisfy the usual
.
Example 4.3. Is
hermitian?
In quantum mechanics
is the boundary term which is usually zero. This would imply that
is skew-hermitian.
Now what about
?
so if the boundary term is zero then
is hermitian.
Hilbert spaces
A prime example of a Hilbert space is the set of all
square-integrable functions on a relevant interval including all
square-integrable convergent sequences of functions (e.g. Dirac delta
functions).
The state of a quantum system is a vector in a Hilbert space. Its
dimension is infinite, however this can invalidate property 3 of
hermitian transformations (that eigenvectors of a hermitian operator
span the space).
Example 4.4. What are the eigenvectors of the operator
defined via multiplication by
?
That is, solve
.
So if
,
then
which has no solutions meaning there is no polynomial eigenvector.
Lets try the function
;
then
.
How about
?
means that
and has solutions
.
Note that for
,
the eigenvalues are continuous and real. The set of all eigenvalues of
an operator is called the spectrum. However, neither of these
functions are square-integrable so the are not strictly part of a
Hilbert space, but they are so useful that we normalize them as
follows;
so
and we treat these as elements of the Hilbert space.
If we want to represent a state vector in the
-representation
(i.e. the eigenvector in terms of the
-operator)
with
for the finite dimensional space with discrete spectra. In the
continuous spectrum we have
where
.
So if we have a state vector represented by
then in the
-representation
we have
so
is the
-representation!
In the
-representation
we have
where
is the Fourier transformation of
.
Note that
is the state vector and
are representations of
.
The
quantum oscillator
The hamiltonian for a classical oscillator is
So postulate 3 in quantum mechanics is that
and the time-independent Schrödinger equation (with
)
gives the second order linear differential equation
with solutions
where
,
are Hermite polynomials and
are integers.
The first few Hermite polynomials are
and the eigenvalues for these solutions are
.
Now, we know the eigenvalues and eigenvectors of
.
We can write the T.I.S.E. as
which is the energy representation. So we will be able to compute
quantities
or
.
We can write
introduce the operators
and calculate
We need to compute the
commutator
.
Using the
-representation;
So,
implying that
and this is how
is represented in terms of the
operators. These operators,
,
are not hermitian, but together
it is! Furthermore,
so that
if and only if
(3) Often we write
and call it the number operator and the eigenvectors of
are the same as those of
.
Proposition 5.1. Properties of our
operators;
Using this, then
so
which, together with equation (3),
implies
Similarly, we may show that
which means
and
are also eigenvectors of
(also
)
with
increased or decreased by one. Hence,
and
are called Ladder operators. More particularly, these are
called creation and annihilation operators
respectively.
With this information, we compute the
’s
as follows;
and equivalently, that is
Hence,
and similarly
.
Now,
and
thats fine but what is
?
so the eigenvalues are real, positive and there can only be a lower
limit for
if
is an integer so that
.
Otherwise, the sequence
would not terminate and would violate
.
Note
.
We have
.
So the ground state is
and
with
and more generally, by induction,
Since
and
,
then
,
and
implying
Similarly,
Now we can easily work out
Finally, we can find the ground state wave vector in the
-representation
so if
this is
which means (because
and
)
that
and finally, implying that the ground state vector in the
-representation
is
(4)
Comparable observables
In quantum mechanics when an observation is made of a quantity, then
the operator corresponding to that quantity must be hermitian (so that
its expectation value will be real) and the measurement will result in
one of the eigenvalues. If there is a second observable whose operator
commutes with the first then, mathematically, we have
and there is
such that
.
So
and
is also an eigenvector of
with eigenvalue
.
If
is a non-degenerate eigenvalue then
and the
are the eigenvalues of
.
If
are degenerate of order
with linear independent eigenvectors
for
,
then (inside the degenerate subspace) since
we have
as an eigenvector of
with eigen value
and so can expand this in terms of the set
.
That is,
and some combination of the
’s
will be eigenvectors of
with eigenvalues
.
Using this, then we have
which is
and yields a characteristic equation (polynomial of degree
)
with roots
.
These are the eigenvalues of
within the degeneracy.
Note that
may also be degenerate in which case one must find another comparable
observable and do it again. This process can be continued until we have
removed all the degeneracy and have a complete set of comparable
observables.
Anyway, for each
there will be an eigenvector
determining the combination of degenerate eigenvectors of
which are simultaneous eigenvectors of
.
Write
and notice
so the eigenvalue
of
along with the eigenvalue
of
specify a particular simultaneous eigen vector of both
and
.
Often such a state is written as
and if another observable was necessary to remove the degeneracy, we
would write something like
.
2
dimensional quantum oscillator
The Hamiltonian here is
where
and all other commutators are zero. This Hamiltonian is separable; so
set
and solve
.
That is
so that
which has solutions
with
and similarly
with
.
So solutions to the 2 dimensional quantum oscillator are
with
and this system acts as two independent 1 dimensional oscillators. An
interesting difference here is that the system is now
-fold
degenerate where
.
Looking at the ladder operators
and
along with they hermitian conjugates (adjoints), we can write
with eigenvector
where
is the ground state in number or energy representation (since
or
have the same eigenvectors). We have
and
with commutators
.
To pass between bases set
and
(so that
and
).
For the
-fold
degeneracy, we require a comparable observable which leads us to
examining the angular momentum
.
For the 2 dimensional system this has only one non-zero component
which after simplification becomes
.
Is
compatible with
?
For compatibility, we require commutativity so check
We now have two sets of comparable observables
and
and we may use either to completely specify the state of the system with
eigenvectors
and/or
(depending on choice of representation). Either representation is fine
to work with, but the
is more likely to be measurable.
Quickly recapping, for the 1 dimensional oscillator we had
which were simultaneous eigenvectors of
and
and there was no degeneracy. For the 2 dimensional oscillator the
eigenvalues of
are
-fold
degenerate. We have found a second observable
which is compatible with
so it remains to find a set of simultaneous eigenvectors of both for the
purpose of removing the degeneracy.
Introduce,
and
so that
and
Now
can be represented in terms of these new operators as
and similarly
The operators
can be used, as before, to create eigenvectors
These states are simultaneous eigenvectors of
where
however, it is more common
to use the eigenvalues of
and
as quantum numbers so that
where
is the energy and
with
is the angular momentum.
Time-independent perturbation theory
We would like to solve the TISE equation (2) for a
potential
that is similar to one for which we already know the exact solution, say
.
Mathematically we have
.
This means our Hamiltonian is now
If the solutions to the known problem are
with
,
then for the perturbed problem we have
where
and
is use the count the order of approximation. That is
will be used to count the first order correction to the
energy level and
will be the first oder correction to the
eigenvector of
.
Substituting these power series into the above formulation gives
expands (in powers of
)
as
and implies (comparing coefficients) that
and so on for higher orders.
First order correction
Now, taking the inner product of
and the
coefficients yields
which reduces to
and hence merely that
(5) since
.
Going back, and rearranging the
-coefficient
as
then expanding
in terms of our basis
as
where we have excluded
since it already appears in the expansion
.
These together imply that
Taking the inner product of this with
(with
so not to get equation (5) again) reads
and implies that the coefficients are
(6) Note that this holds only
in a non degenerate system because of the denominator.
Second order correction
Taking the inner product of
with the
coefficient of our above power series simplifies to yield
We had that
which implies
and
So,
(7)
Degenerate perturbation theory
Suppose we now have 2-fold degeneracy and the two degenerate states
are
and
with energies
.
That is, two eigenfunctions
have the same energies so that
and
where
.
The first thing to notice is that any (normalized) combination of
these states will also be an eigenvector for
.
That is
is an eigenvector and having
keeps things normalized.
With
,
the states
will no longer be eigenvectors of
,
but to first order, a linear combination will be. Furthermore, they will
not longer be degenerate.
Starting with the TISE equation (2)
where
,
make the following substitutions;
,
and
.
Extracting the
coefficient reads
and for two new equations, take the inner product of this with
and
.
The first inner product simplifies to say
which, along with the fact that
,
gives
where
.
Similarly, from the second inner product, we get
This provides us with the matrix equation
and the new characteristic polynomial is
which implies
(8) where we have declared
that
(9) The eigenvectors of
determine the linear combinations of degenerate unperturbed system that
are the non-degenerate eigenvectors of the perturbed system. If
then
are already the answers we seek and
and
respectively so would be the first order corrections to the energy.
Theorem 6.1. If
and
are degenerate eigenvectors of
and
is a hermitian operator commuting with
having distinct eigenvalues
then
and
will be the eigenvectors of
.
Proof. Having
and
compute
◻
Variational principle
The variational principle states that calculating
with any wave vector, then the result will be greater than, or equal to
the ground state energy. That is The ground state energy is a lower
bound for the entire function space and this can be useful information
if we do not know the ground state.
Proof of this is straight forward if we denote the unknown
eigenvectors of
as
and since they form a complete set, we can write any
where
is an arbitrary normalized test function.
Now,
The ground state is the infimum of
so that
.
Hence,
If we didn’t know the ground state wave vector for the 1 dimensional
simple harmonic oscillator (which is gaussian) we might guess that
and follow the proceeding four steps;
Normalize;
Compute
;
Note that it is very
important to analyze the dimension (units) of this result - and it
should be in energy units.
Minimize
with respect to
;
vanishes when
Substitue
in to
to get
We could have initially guessed that
(a Gaussian distribution) and gotten
so that
which is the exact ground state energy because
is the ground state vector as found in (4).
We could also guess that
where
are adjustable parameters and the
are some subset of orthonormal vectors. In this case, we would then
compute
and
for each
gives
equations in
unknowns.
Often one may choose a set of functions
which are already familiar and orthonormal (this is a key fact) so to
calculate
and
.
For example, if
then the
from the simple harmonic oscillator would be a good guess to begin with
(since easy to compute
and
).
Angular momentum
Classically, the angular momentum is
and in quantum mechanics we set
.
The commutation relations for angular momentum operators are important
so
and similarly
.
Also, the total angular momentum is
and we can show that
and
.
This means, for one, that
commutes with its components but its components don’t commute.
Consider the commutator of two operators acting upon an eigenvector
of the first. That is
and we seek to compute
If these operators commute (i.e.
),
then
is also an eigenvector of
with eigenvalue
and
are called comparable operators. In this case, we can find
simultaneous eigenvectors of both operators.
Since
let
be a simultaneous eigenvector of
and
with eigenvalues
respectively. Using a ladder technique similar to the quantum harmonic
oscillator we introduce
.
It can be shown that
,
both
are hermitian and
they commute with
.
So, if
is an eigenvector of
then it is also an eigenvector of both
.
Also,
and
which is an eigenvalue
equation with eigenvector
and eigenvalue
.
We thus call
the raising and lowering operators respectively since
the increase/decrease the eigenvalues.
For a given eigenvalue
of
,
the operators
increase/decrease the eigenvalues of
,
however there is an upper and lower bound for the eigenvalues of
(coming from the fact that the
-component
of angular momentum cannot be larger in magnitude than the total). This
means there must be top and bottom rungs. Denote the top eigenvector by
so we must have
.
Let
denote the maximum eigenvalues of
so that
and, of course,
.
Through operator composition we obtain the following relation
which says that
.
Using this relation, then
implying that
Applying the same technique to the bottom rung
with
,
we find that
so that
Equating these two values for
implies
means that
or
.
The first possibility is not valid because then the bottom rung would be
higher than the top, so
.
Thus, the eigenvalues of
are
(integer multiples of
running from
to
in
-steps.
This implies that
so is either an integer or a half integer. Finally, the eigenfunctions
are characterized by
and
.
Quantum
mechanics in 3 dimensions
Here we write our Hamiltonian as
(10) where we recall that
.
Normalization here looks like the 3-dimensional integral
however, when the potential is a function of
we would probably rather use spherical coordinates and the normalization
integral looks more like
Some potential examples include
(the 3 dimensional infinite square well)
- the potential for a hydrogen-like atom. For other atoms with different
number of protons/neutrons in the nucleus, use
.
The gradient operator in spherical coordinates looks like
and
so the angular momentum becomes
Now, with the spherical Laplacian given as
so the time independent S.E. becomes
which is separable when
.
Indeed, in this case simplification reveals
so we set both sides to be equal the constant
.
Solving for angular component
Upon further separation of variables with
we find the right hand side from above to be
and again, we set both sides equal to the constant
.
One equation is then
and solved by
.
We require
to be single-valued so
must be an integer. This constant integer
is called the azimuthal quantum number or magnetic quantum
number.
Now, t he
part of this has associate Legendre functions as solutions.
That is,
where
and
are the Legendre polynomials which are orthogonal and
not normalized on
.
Note; there are
possible values for
then
Putting all of this together yields the angular equation,
(11) where
and these satisfy the orthonormality constraint that
Solving for the radial component
We have
which is simplified by substituting
so that
and
which gives us
and, except for the term
is the 1 dimensional TISE. This is called the radial equation
and the extra term (involving
)
is called the centrifugal term because it pushes the particle
from the origin.
Note; that
here.
3
dimensional infinite potential well
Let us illustrate what we have just shown with an example,
Example 7.1. Suppose
.
Then inside radius
our radial equation becomes
where
.
First, when
this has solution
,
but
implies the second term would be
which tends to
as
.
Since we must be able to normalize these solutions, this means the
constant
and so
.
Furthermore, the boundary condition requires
so we must have
meaning
.
So, with
and
then we have found
The general solution to the infinite potential well is
where
However, we still require
to be normalizable implying, again, that
and energies
are given by the zeros of the
.
Finally, then the wave functions are
with
.
Hydrogen atom
We seek to solve the radial equation for the potential
(or
).
That is
Upon solving this, the eigenvalues are found to be
for
.
We introduce the constant
the Bohr radius so then
where
is the fine structure constant.
Coming back to the potential for the radial equation, we get
where
and
is the
Leguerre polynomial. Furthermore, as usual, we have
and
.
In summary, then we have
and
form a complete set of commuting observables. Sometimes, when examining
only the angular momentum we use
instead of
.
Spin
Elementary particles such as electrons, protons, neutrons, photons,
gravitons, gluons, etc... have properties such as mass and charge which
are characteristic intrinsic properties. Another such property is
spin which is defined as an intrinsic angular momentum.
For the hydrogen atom, the electron will have both orbital
angular momentum
and spin angular momentum
The theory of spin is very similar to that of angular momentum. We
have the following analogous operators and relations;
so
Now, unlike the orbital angular momentum operator which can only yield
integers because the wave function must be single valued, the spin
quantum number can also take on half integers
.
Now we may classify particles into those with integral spin (called
bosons) and those with half integer spin (called
fermions).
The solutions for spin 1/2 are as follows;
implying that
,
and
.
If we suppose that
then
and
.
Note that the possible states are represented in the following
ways;
Furthermore, we can deduce some facts about the matrix
representations of our operators
The general spin state is
.
That is
with
.
To measure
and
we need to get their matrix representations. Recall that
and
.
So then
.
Thus, the eigenvalues of
are clearly
with eigenvectors
and
and hence, in this basis, a general
.
It will be convent to introduce the Pauli spin matrices
and
.
We first notice that
and commutators look like
.
The
electron in a magnetic field
The electron is both charged and has angular momentum, so it will
have a magnetic moment. Classically, we have
where
.
However, with a relativistic equation (Dirac) we get
and in quantum electrodynamics
where
with
as the fine structure constant.
introduce the Bohr magnetron
so that
with
as the Pauli spin vector. If there exists an external magnetic field
then the Hamiltonian gains the term
.
There are two state vectors for an electron and these are
so we can compute the possible energies;
choose
parallel to
so that
and
.
Now,
Similarly,
and from this we can see that
.
The time-dependent Schrödinger equation for the general spin state
is then
which, according to our eigen decomposition of
,
has solutions
and it is convenient to write
so that, in vector form,
Now we may compute
as a function of time
where
is called the Larmour frequency.
Similarly,
and
and we note that
has no time dependence.
Addition of angular momentum
If we have two different spin
particles (i.e. an electron and a proton) then there are 4 possible
states
and the total angular momentum will be
.
Compute,
and the possible results
are
but wait! Aren’t we
supposed to have
in integer steps? Let us try operating with the lower operator
on
.
We find that
and again
Thus, these states
are eigenstates of
and
,
but we want those of
and
.
Tensor products
The state
is defined as an element of a new Hilbert space with inner product
specified as
so that normalizing gives vectors
which evidently have total angular momentum
(called triplet states) and
with
called singlet state.
Thus, we claim that two spin 1/2 particles carry a total spin of 1 or
0 depending on whether they occupy the singlet or triplet state. To
prove this, we must show that triplet states are eigenvectors of
with eigenvalue
and that the single state is an eigenvector with eigenvalue 0. Indeed,
and this is verified as follows;
First notice that
and that
Now,
as required. The same
calculation can be performed for the other claimed triple and singlet
states.
Example 7.2. For two particles with spin 1 and 1/2 we
get 6 possible states; These are beginning with
and each of
are achieved by successively applying the lowing operator to the first.
Finally, we can also achieve a total spin of
in this system when the particles are aligned anti-parallel to each
other. This gives states
and
.
These ideas lead to the Clebsch-Gordon coefficient tables which will
not be defined in great detail except to say that they can be use to
solve the following exercise;
As an exercise, suppose we are given two particles with
so that total angular momentum is either
or 1/2 since
so that
.
Show that
These Clebsch-Gordon coefficient tables can be used the other way to
show that
Identical particles and the exchange operator
If we had two identical particles at positions
and
the the TISE will be
.
Since the particle are identical, then the energy will be degenerate
with the state
.
That is to say
.
We can guess that the good states will be the even and odd linear
combinations of these and the operator with distinct eigenvalues will be
the exchange operator
which essentially permutes
.
Clearly
has eigenvalues
and if two particles are identical then
must treat
the same as
so to say
.
Hence, we can find a complete set of functions which are simultaneous
eigenstates of both.
The
eigenstates
are called symmetric and the other is the anti-symmetric wave function.A
general function can be expressed as a combination of the symmetric and
anti-symmetric parts.
The Pauli exclusion principle and the vague allusion to quantum
statistics suggests that bosons have symmetric wave functions and
fermions are anti-symmetric. This is due to the claim that two identical
fermions cannot occupy the same space, whereas bosons can... I do not
understand this and encourage the reader to investigate this in much
greater detail.
Thus we examine three cases of identical particles
Distinguishable particles
identical bosons (symmetric)
identical fermions (anti-symmetric)
We compute probability densities as follows;
for distinguishable particles and
in 2 and 3. We will see the
consequences of this are non-intuitive and there is no classical
analogue to identical particles.
We compute
;
Distinguishable;
and similarly,
and
so
Indistinguishable;
Similarly, we find
and
meaning that
This result is nearly identical to the distinguishable particle case
except for the term
so let us examine this carefully;
and this is called the overlap or exchange integral. This is
only important if particles are close enough to each other that their
wave function overlaps. The effect of this term is to make
smaller for bosons and bigger for fermions which is sometimes attributed
to a non-existent exchange force because it is soley a
consequence of the statistics.
There is, of course, one more twist.. spin. That is, the overall
state vector, rather than just the spatial part, must be either
symmetric or anti-symmetric.
Solids
For the 1 dimensional infinite square well we have
with energies
where
.
For the 3 dimensional infinite square well we get
by ignoring the coloumb potential and this is called the free
electron model (a.k.a the Sommerfield model). Here, we
have
where
.
Examining the grid formed in
-space,
the volume of each allowed point is
.
Suppose now that our sample contains
atoms where each atom has
electrons (so that
will be the order of Avagadro’s number if we have a very small sample)
If the electrons were bosons they would all settle down to the ground
state,
but in reality electrons are fermions subject to the Pauli exclusion
principle meaning that only 2 of them can occupy any given state. They
will fill up one octant of the sphere in
-space
whose radius is
which is determined by the fact that every pair of electrons requires
amount of volume. Hence,
where
is the charge density.
The boundary separating occupied and unoccupied states in
-space
is called the fermi-surface and the corresponding energy is the
fermi-energy
which evaluates to
for a typical metal.
Now, the total energy of the electron gas can be computed as
follows;
A shell of thickness
contained a volume
so that
and this summation more concretely expressed as the sum over all
integers
such that
and this summation is approximately expressed as the integral
Degeneracy pressure
We would like to compute the total energy of a fermi-gas by noting
that a shell (in
-space)
of thickness
has a volume
.
This implies that it contains
fermions with energy
so the energy of these is
and the total energy becomes
and this is interesting if we look at
(the pressure). This implies that
and this is called degeneracy pressure.