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LECTURE 13
Maxwell-Boltzmann, Fermi, and Bose Statistics
Suppose we have a gas of N identical point particles in a box of
volume V. When we say ``gas'', we mean that the particles are not
interacting with one another. Suppose we know the single particle
states in this gas. We would like to know what are the possible states
of the system as a whole. There are 3 possible cases. Which one is
appropriate depends on whether we use Maxwell-Boltzmann, Fermi or Bose
statistics. Let's consider a very simple case in which we have 2 particles
in the box and the box has 2 single particle states. How many distinct
ways can we put the particles into the 2 states?
Maxwell-Boltzmann Statistics: This is sometimes called
the classical case. In this case the particles are distinguishable so
let's label them A and B. Let's call the 2 single particle states 1 and
2. For Maxwell-Boltzmann statistics any number of particles can be
in any state. So let's enumerate the states of the system:
Single Particle State 1 2
-----------------------------------------------------------------------
AB
AB
A B
B A
We get a total of 4 states of the system as a whole. Half of the
states have the particles bunched in the same state and half have
them in separate states.
Bose-Einstein Statistics: This is a quantum mechanical case.
This means that the particles are indistinguishable. Both particles
are labelled A.
Recall that bosons have integer spin: 0, 1, 2, etc. For Bose statistics
any number of particles can be in one state. So let's again
enumerate the states of the system:
Single Particle State 1 2
-----------------------------------------------------------------------
AA
AA
A A
We get a total of 3 states of the system as a whole. 2/3 of the
states have the particles bunched in the same state and 1/3 of the
states have them in separate states.
Fermi Statistics: This is another quantum mechanical case.
Again the particles are indistinguishable. Both particles
are labelled A. Recall that fermions have half-integer spin:
1/2, 3/2, etc. According to the Pauli exclusion principle, no more
than one particle can be in any one single particle state. So let's again
enumerate the states of the system:
Single Particle State 1 2
-----------------------------------------------------------------------
A A
We get a total of 1 state of the system as a whole. None of
the states have the particles bunched up; the Pauli exclusion principle
forbids that. 100% of the states have the particles in separate states.
This simple example shows how the type of statistics influences the
possible states of the system.
Distribution Functions
We can formalize this somewhat. We consider a gas of identical particles
in a volume in equilibrium at the temperature . We shall use the
following notation:
- Label the possible quantum states of a single particle by or .
- Denote the energy of a particle in state by
.
- Denote the number of particles in state by .
- Label the possible quantum states of the whole gas by .
Since the particles in the gas are not interacting or are interacting
weakly, we can describe the state of the system as having
particles in state , particles in state , etc. The total
energy of the state is
|
(1) |
Since the total number of particles is , then we must have
|
(2) |
The partition function is given by
|
(3) |
Here the sum is over all the possible states of the whole gas,
i.e., essentially over all the various possible values of the numbers
, , , ...
Now we want to find the mean number
of particles in a state
. Since
|
(4) |
is the probability of finding the gas in a particular state where
there are particles in state 1, particles in state 2,
etc., one can write for the mean number of particles in a state :
|
(5) |
We can rewrite this as
|
(6) |
or
|
(7) |
So to calculate the mean number of particles in a given
single-particle state , we just have to calculate the partition
function and take the appropriate derivative.
We want to calculate
for Maxwell-Boltzmann,
Bose and Fermi statistics.
Maxwell-Boltzmann Statistics
Let us begin by considering the classical case of Maxwell-Boltzmann
statistics. In this case the particles are distinguishable but identical,
so each particle has the same set of single particle energy levels.
As a result we can write the partition function as
|
(8) |
where the single particle partition function is
|
(9) |
Then
|
(10) |
Now we can calculate the mean occupation number
|
(11) |
or
|
(12) |
This is called the ``Maxwell-Boltzmann distribution.'' It is the same as
our previous result when we applied the canonical distribution to
independent single particles in a classical system. The sum over is
a sum over single particle states.
Alternative Derivation of Maxwell-Boltzmann Partition Function
We can write the partition function of the gas as
|
(13) |
Here we are summing over all possible states of the gas, i.e.,
over all values
|
(14) |
subject to the restriction
|
(15) |
Since this is a classical system, the particles have to be considered
distinguishable. Thus any permutation of two particles in different
states must be counted as a distinct state of the whole gas even though
the numbers
are left unchanged. This was the case
in our simple example. It is not enough to specify how many particles
are in each single-particle state, but it is necessary to specify which
particular particle is in which state. For a given set of values
, there are
|
(16) |
possible ways in which the particles can be put into the given single
particle states with particles in state 1, particles in
state 2, etc. This is the number of distinct states since the particles
are distinguishable. Hence
Because of (15), this last expression is just a multinomial
expansion. So we can write
|
(18) |
or
|
(19) |
where
is just the partition function for
a single particle. This is what we got before.
Bose-Einstein and Photon Statistics
Here the particles are to be considered as indistinguishable, so
that the state of the gas can be specified by merely listing the
number of particles in each single particle state:
, , , .... Since there is no limit to the
number of particles that can occupy a state, can equal
0,1,2,3,... for each state . For photons the total number of
particles is not fixed since photons can readily be emitted or
absorbed by the walls of the container. Let's calculate
for the case of photon statistics.
The partition function is given by
|
(20) |
where the summation is over all values
for
each , without any further restriction. We can rewrite (20)
as
|
(21) |
or
|
(22) |
But each sum is a geometric series whose first term is 1 and
where the ratio between successive terms is
. Thus it can be easily summed:
|
(23) |
Hence eq. (22) becomes
|
(24) |
or
|
(25) |
So if we plug this into eqn. (7), we get
|
(26) |
or
|
(27) |
This is called the ``Planck distribution.'' We'll come back to this
a bit later when we talk about black body radiation.
Photons are bosons, but their total number is not conserved
because they can be absorbed and emitted. Other types of bosons, however,
do have their total number conserved. One example is He atoms.
A He atom is a boson because if you add the spin of the
proton, neutron, and 2 electrons, you always will get an integer.
If the number of bosons is conserved, then
must satisfy
the condition
|
(28) |
where is the total number of bosons in the system.
In order to satisfy this condition, one slightly modifies the
Planck distribution. The result is known as the Bose-Einstein distribution
|
(29) |
where is the chemical potential. is adjusted so that
eq. (28) is satisfied. Physically is the change
in the energy of the system when one particle is added.
Eqn. (29) is called the Bose-Einstein distribution function or
the Bose distribution function for short.
Often one writes this as a function of energy:
|
(30) |
is also called the Bose-Einstein distribution.
=3.0 true in
Notice that if
, then
which
doesn't make much sense. The Bose distribution only makes sense for
.
We can explicitly derive (29). In order to satisfy the condition
(28), one multiplies
the partition function by a fudge factor
.
is then adjusted to satisfy eqn. (28).
is an example of what is called a Lagrange multiplier.
We use instead of because we have an extra factor of
. is the ``grand partition function''
that we met when we discussed the grand canonical ensemble.
This is just a product of simple geometric series. Hence
|
(32) |
or
|
(33) |
Recall that when we discussed the grand canonical ensemble and the grand
partition function, we set
|
(34) |
where is the chemical potential. We are basically assuming that
we have a system of weakly interacting interacting bosons in
contact with both an energy and particle number reservoir, and that
the temperature and the chemical potential are fixed by the
reservoir. So we can rewrite (34) to obtain the grand partition
function:
|
(35) |
We can now calculate the average value of :
is fixed by setting
where is the total number
of bosons in the system.
Finally we will calculate the average number of bosons in state :
or
|
(38) |
Note that we can recover the result
for photons by setting . Also note that
|
(39) |
We will return to the Bose-Einstein distribution when we discuss
black body radiation.
Fermi-Dirac Statistics
Recall that fermions have half-integer spin statistics and that at most
one fermion can occupy each single particle state. This means that
or 1. We can easily get some idea of what
is
by considering the very simple case of a system with just one single
particle state. In this case
|
(40) |
In this case the sums just have 2 terms. The denominator is
|
(41) |
The numerator is
|
(42) |
So we have
|
(43) |
or
|
(44) |
For a real system we have many single particle states and many particles.
The expression for
in this case must
satisfy the condition that the number of particles is a constant:
|
(45) |
The correct formula which satisfies this condition (46) is
|
(46) |
Often one writes this as a function of energy:
|
(47) |
is called the Fermi distribution function.
is adjusted to satisfy the constraint (46). As in the
Bose-Einstein case, is called the chemical potential. This is
basically the same as the Fermi energy. Notice that
. This is always true of the Fermi distribution.
=3.0 true in
We can formally derive the Fermi distribution in much the same way as
we derived the Bose distribution. We once again consider a system of
weakly interacting fermions in contact with both an energy and a
particle number reservoir. The grand partition function is given by
and
|
(49) |
So the mean number of particles in the system is
|
(50) |
or
|
(51) |
The mean number of fermions in state is
|
(52) |
or
|
(53) |
Note that
|
(54) |
We will return to this when we discuss metals.
Summary
For future reference the two expressions for the average number of
particles in the th state for bosons and fermions are:
A more succinct way to write our results for the quantum statistics of ideal
gases is
|
(57) |
where the upper sign refers to Fermi statistics and the lower sign
refers to Bose statistics. If the gas consists of a fixed number of
particles, is determined by
|
(58) |
In general the number of particles is much smaller than the total
number of single particle states .
Classical Limit
Let us consider 2 limiting cases. Consider the low density limit where
is very small. The relation (60) can then only
be satisfied if each term in the sum over all states is
sufficiently small, i.e., if
or
for all states .
The other
case to consider is the high temperature limit. Since
,
the high temperature limit corresponds to small . Now if
were 0, we would have
|
(59) |
which is a disaster for both the Fermi-Dirac and Bose-Einstein cases.
But means that . Let's assume that the temperature
is high but not infinite, so that is small but not 0. At high
temperatures, lots of high energy states are occupied. By
``high energy,'' I mean that
. In order
to satisfy the fixed constraint of eqn. (60), it is
necessary to have
|
(60) |
such that
|
(61) |
for all states . (Remember that there are many more
states than particles .) This is the same condition that
came up in the low density case. We call the limit of sufficiently
low concentration or sufficiently high temperature where (62)
or (63) are satisfied the ``classical limit.'' In this
limit
reduces to
|
(62) |
Plugging this into (60), we get
|
(63) |
or
|
(64) |
Thus
|
(65) |
Hence we see that in the classical limit of sufficiently low density
or sufficiently high temperature, the Fermi-Dirac and Bose-Einstein
distribution laws reduce to the Maxwell-Boltzmann distribution.
Relation of
and
In deriving the Bose-Einstein and Fermi-Dirac distributions, we used
the grand canonical partition function. We can use to obtain
an excellent approximation to the canonical partition function. We can
write
where is the canonical partition function for
particles. Since is a rapidly increasing function
of and
is a rapidly decreasing
function of (for ), the grand
partition function is sharply peaked at
.
So we can write
where the width of the peak is
.
Thus
since
is negligible. Or
|
(69) |
This is the relation between the partition function and the
grand partition function .
Chemical Potential
Since
is a sharply peaked function
at
, we can use this to derive an expression
for the chemical potential . Consider
.
By definition the maximum of this is given by
|
(70) |
or
|
(71) |
This is useful for calculating the chemical potential .
truein
Other Conventions for the Grand Canonical Ensemble
In some books, the fugacity is defined by
|
(72) |
(Some books use or to denote the fugacity.)
The grand partition function is given in terms of the fugacity by
|
(73) |
with .
In the grand canonical ensemble, pressure is defined by
|
(74) |
where is volume.
Some books define a thermodynamic potential by
|
(75) |
(Do not confuse the thermodynamic potential with the number of microstates
of a system, even though both are sometimes denoted by .)
In terms of the grand partition function, the mean number of particles is
|
(76) |
and the mean energy is
|
(77) |
(One can compare this to Eq. (70) in Lecture 9
|
(78) |
to see the importance of noting what is kept constant and what isn't in taking
derivatives.)
The first law of thermodynamics then becomes
|
(79) |
or, in differential form,
|
(80) |
Gibbs' Paradox Revisited
Now back to eq. (71).
Plugging in for bosons from (34), we have
|
(81) |
Similarly for fermions eq. (50) yields
|
(82) |
We can combine these two expressions:
|
(83) |
At high temperatures
is small and
we can expand the logarithm to obtain
|
(84) |
where in the last step we used the high temperature limit of the
Bose and Fermi distributions:
Taking the logarithm of both sides of (87) yields
|
(86) |
or
|
(87) |
Plugging this into (86), we get
The first two terms are Stirling's approximation to :
|
(89) |
The last term in (90) is the Maxwell-Boltzmann partition
function.
|
(90) |
So (90) becomes
|
(91) |
or
|
(92) |
This was the resolution to the Gibbs paradox. Without quantum mechanics
we had to put in the factor by hand. But now we see that the
indistinguishability of the particles comes out naturally.
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Clare Yu
2009-03-11