61
Dr Roger Bennett [email protected] Rm. 23 Xtn. 8559 Lecture 22

Dr Roger Bennett [email protected] Rm. 23 Xtn. 8559 Lecture 22

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Page 1: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Dr Roger [email protected]

Rm. 23 Xtn. 8559

Lecture 22

Page 2: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Negative Temperature• From our previous derivation we had

• If n < N/2 then more than half the dipoles are anti-parallel and T becomes negative!

• What is a negative temperature?• We know that as the temperature T the populations of spin-up and

spin-down only become equal!• A negative temperature state must therefore be hotter than T= as its is a

more energetic state of the system.

nN

n

B

k

n

nN

B

k

Tln

2ln

2

1

Page 3: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Negative Temperature• For a negative temperature the entropy and statistical weight must

be decreasing functions of E.• This can happen if the system possess a state of finite maximum

energy – such as our paramagnet with U=NB.• No systems exist where this happens for all particular aspects (I.e.

vibrational energies, electronic energies and magnetic energies). However, if one such aspect or subsystem is effectively decoupled from the others, so they do not interact, that subsystem may be considered to reach internal equilibrium without being in equilibrium with the others.

• This is the case for magnetic systems where the relaxation times between atomic spins is much quicker than the relaxation between spins and the vibrational modes of the lattice.

Page 4: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Negative Temperature• In the paramagnet the lowest possible

energy is U=-NB and the highest U=+NB. These are both unique microstates so S=0.

• In between we can only reach states with positive energy with a negative temperature.

-5 -4 -3 -2 -1 0 1 2 3 4 5

-1.0

-0.5

0.0

0.5

1.0

En

erg

y /

NB

Temperature

System Energy

-20 -10 0 10 20

-1.0

-0.5

0.0

0.5

1.0

En

erg

y /

NB

1 / Temperature

System Energy

Page 5: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Paramagnets – Adiabatic cooling

• We can use a paramagnet to cool a sample by cycling the magnetic fields and allowing or blocking heat exchange.

• If the B field is reduced while keeping magnetic entropy constant the temperature must fall to keep the same degree of order.

• To do this we need to find the entropy and how that depends on temperature in this system.

• We know U, T is our variable and we want to find S.

• What connects all these?

Page 6: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Paramagnets – Adiabatic cooling

• Helmholtz free energy F = U-TS

kT

BNBxNBUNU

tanhtanh

1lnln ZkNTZkTTSUF

xkT

BeeeZ kT

B

kT

B

i

kT

U i

cosh2cosh21

)tanh()ln(cosh2ln xxxNkT

FUS

Page 7: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Paramagnets – Adiabatic cooling

• Paramagnet in contact with a heat bath• Apply and external B field – entropy is

reduced as spins align. Temperature fixed by heat bath.

• Heat bath removed –sample now isolated

• Magnetic field slowly reduced reversibly – not quite to zero because of residual alignment of spins (Bapplied~100 Bresidual).

• No heat flows into the system so ordering remains same.

Page 8: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Paramagnets – Adiabatic cooling

)tanh()ln(cosh2ln xxxNkT

FUS

0 1 2 3-0.1

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

A-B Isothermal magnetisationB-C Reversible adiabatic demagnetisation (slow)

CB

A

S /

Nk

Temperature

Low Field High Field

A

B

C

2B

Page 9: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Paramagnets – Adiabatic cooling )tanh()ln(cosh2ln xxxNkS

A

B

C

• How big an effect is it?• S is a function of B / T only• S remains constant during

adiabatic reversible demagnetisation.

• Ratio B/ T therefore constant.

• Can use nuclear spins to T=10-6 K

kT

Bx

100* inital

applied

residualinitalfinal

T

B

BTT

Page 10: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Dr Roger [email protected]

Rm. 23 Xtn. 8559

Lecture 23

Page 11: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics• In lectures and workshop we have considered model

systems to develop/predict thermodynamic properties. Don’t focus on the mathematics – think of it as a systematic method to getting to the thermodynamic properties of the system.

1. Create a simple model of the system2. Identify the energetic states of the system3. Calculate the partition function from the energy

levels.4. Deduce the free energy5. Differentiate to get the entropy, pressure use a 2nd

derivative to get response functions –Heat capacity and elastic moduli.

6. Compare with real data – is it a good fit – refine model.

Page 12: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics• So far we have taken a classical viewpoint

where particles are distinguishable – think about the way we labelled lattice sites in a crystal or position along a chain of paramagnetic atoms.

• Quantum mechanics complicates matters slightly as particles cannot be localised and the wavelike nature results in problems in identifying unique quantum microstates.

• We will now start on this problem – safe in the knowledge that we already have the tools to get to the thermodynamics if we can just get the quantum states and partition function right.

Page 13: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics• We shall start with a quantum particle in a

box. We replicate the box (M-1) times to make the entire system. We work as previously for the Canonical Ensemble.

• We localise each particle in the box and then make each box distinguishable (i.e. we can label the boxes).

• As before to determine the thermodynamics we need to list the independent quantum states, determine the energies and calculate the partition function.

Page 14: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics• Simple problem first -

imagine a 1-D potential well of width L with zero potential inside and infinite potential defining the walls located at x=0 and x=L.

• Schrödingers wave equation gives us the quantum states that are allowed

)()()()(

2 2

22

xxxVx

x

m

L

Page 15: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics• Simple problem first - imagine a 1-D potential well of width L with zero potential inside and infinite potential

defining the walls.• Schrödingers wave equation gives us the quantum states that are allowed

• Boundary conditions satisfied provided n is a positive non zero integer.

)()()()(

2 2

22

xxxVx

x

m

L

xnAxn

sin)(

Page 16: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics• Schrödingers wave equation gives us the

quantum states that are allowed. From the wavefunction we also get the energy eigenvalues.

)()()()(

2 2

22

xxxVx

x

m

L

xnAxn

sin)(

2

2

222

2n

mL

nn

Page 17: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics

• The energy scale is set by For an electron in a 1cm box ~ 6×10-34 J – pretty small in comparison to room temperature where kT = 4×10-21 J (~25meV).

• We now have the number of allowed states and their energies –we can proceed to find the partition function for our single particle in the box.

L

xnAxn

sin)( 2

2

222

2n

mL

nn

Page 18: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics

• We have an infinite series with the factor very small so it converges very slowly.

• Because is very small we can approximate the sum to an integral:

2

2

222

2n

mL

nn

11

1

2

n

n

n

kT eeZn

2

22

2kTmL

01

1

22

dneeZ n

n

n

Page 19: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics• This is almost the standard integral:

• Change variable

• Can now use our existing framework to calculate thermodynamics

21

2

221

01 24

2

πmkTL

dneZ n

21

0 4

2

dxe x

nx

Page 20: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics• Find the free energy of the single particle

• Differentiate w.r.t. T to find entropy and again for Cv

• The translational motion of a single particle in 1-D gives this contribution to Cv

21

2

2

1 2

πmkTL

Z

2

221

2

2

2ln

22lnln

π

mkTLkT

π

mkTLkTZkTF

12

ln2 2

2

πmkTLk

T

FS

V

2

k

T

STC

V

V

Page 21: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

1-D Quantum summary1. Create a simple model of the system

– Identical 1-D wells each with one particle2. Identify the energetic states of the system

– Eigenstates of the well with defined energy eigenvalues

3. Calculate the partition function from the energy levels– Summation becomes an integral “do the math!”

4. Deduce the free energy– Remember F = -kTln(Z)

5. Differentiate to get the entropy, pressure use a 2nd derivative to get response functions – Heat capacity and elastic moduli.

6. Compare with real data – is it a good fit – refine model.– Looks OK – what about 3-D real systems?

Page 22: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Dr Roger [email protected]

Rm. 23 Xtn. 8559

Lecture 24

Page 23: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

1-D Quantum summary1. Create a simple model of the system

– Identical 1-D wells each with one particle2. Identify the energetic states of the system

– Eigenstates of the well with defined energy eigenvalues

3. Calculate the partition function from the energy levels– Summation becomes an integral “do the math!”

4. Deduce the free energy– Remember F = -kTln(Z)

5. Differentiate to get the entropy, pressure use a 2nd derivative to get response functions – Heat capacity and elastic moduli.

6. Compare with real data – is it a good fit – refine model.– Looks OK – what about 3-D real systems?

Page 24: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

1-D Quantum statistics – single particle

• The free energy of the single particle.

• The entropy.

• The constant volume heat capacity Cv.

2

2

2ln

2ln

πmkTLkT

ZkTF

12

ln2 2

2

πmkTLk

T

FS

V

2

k

T

STC

V

V

Page 25: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

3-D Quantum statistics – single particle

• We can use the same methodology to extend our analysis to 3D.• Imagine our single particle now trapped in a cube of side L aligned with the X,Y,Z axis for convenience.• The three directions are independent so we can simply write the wave function as the product of the separate

functions.

• This is a standing wave in three dimensions where the subscript i on the wave function signifies a unique set of quantum numbers (n1,n2,n3) – a microstate.

L

zn

L

yn

L

xnAzyxi

321 sinsinsin),,(

Page 26: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

3-D Quantum statistics – single particle• The energy of the free particle of mass m can be found from the Schrödingers wave

equation

• The boundary conditions of infinite potential bounding the box with zero potential inside dictate that n1, n2 and n3 are all positive, non zero, integers.

),,(),,(),,(),,(2

22

zyxzyxzyxVzyxm iiii

)(2

2

3

2

2

2

12

22

nnnmLi

Page 27: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

3-D Quantum statistics – single particle• From these energies we can construct

the partition function for the translational motion

)(2

2

3

2

2

2

12

22

nnnmLi

1 1 1

)(

1 1 2 3

23

22

21

n n n

nnn

i

kTTrans eeZ

i

2

22

2kTmL

Page 28: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

3-D Quantum statistics – single particle

111 3

23

2

22

1

21

n

n

n

n

n

n

Trans eeeZ

1 1 1

)(

1 1 2 3

23

22

21

n n n

nnn

i

kTTrans eeZ

i

• We can solve these summations as per the 1-D case – same assumptions apply.

23

2

23

2

33

1 22

mkT

VmkT

LZZTrans

Page 29: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

3-D Quantum statistics – single particle

• Once we have the partition function – get free energy

• And the pressure

23

22

mkT

VZTrans

22ln2

3)ln(ln

πmkT

VkTZkTF

V

kT

V

FP

T

Page 30: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

3-D Quantum statistics – single particle

• This should be familiar! It’s the ideal gas law for a single particle. If we have N particles it becomes PV=NkT provided the particles do not interact.

• And the entropy and heat capacity

2

3

2ln2

3)ln(

2πmkT

VkT

FS

V

V

kT

V

FP

T

kTPV

2

3k

T

STC

V

V

Page 31: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

3-D Quantum statistics – summary• We recover the ideal gas law from first

principles under the assumption the particles do not interact.

• We have to take care about multiplying by N to scale up the single particle result to many particles. It works for the heat capacity but not for free energy or the entropy. To do it properly we need to find the partition function for an N atom quantum system.

2

3

2ln2

3)ln(

2πmkT

VkS

V

kT

V

FP

T

NkTPV 2

3k

T

STC

V

V

Page 32: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Expressions for heat and work• We have a model that seems to give us the ideal

gas behaviour – can we link processes variables like heat and work to the microscopic details.

• The average internal energy is

• If in a heat bath then the probabilities are given for each quantum (micro-) state I with energy eigenvalue Ei.

• For an infinitesimal quasistatic processZ

eP

kTE

i

i

i

iiEpU

i

iii

ii dEpEdpUd

Page 33: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Expressions for heat and work• We already have a thermodynamic meaning of

these terms.

dU = đQR + đWR

• Which term is which?• If we fix all external parameters such as volume,

magnetic fields etc we fix the positions of the energy levels as they only depend on those parameters. So đEi=0. In this case the only way to increase energy is to add heat to the system.

i

iii

ii dEpEdpUd

i

iiEdpdQ

Page 34: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Expressions for heat and work• It follows that the work done on the system is

given by.

• Doing work is the same as the weighted average change of the energy levels.

i

iidEpdW

i

iiEdpdQ i

iidEpdW

E1

E2

E3

E1

E2

E3

E1

E2

E3P2

P1

P1

P1P2

P2

P3P3

P3

Initial State

Page 35: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Dr Roger [email protected]

Rm. 23 Xtn. 8559

Lecture 24

Page 36: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

3-D Quantum statistics – summary• We recover the ideal gas law from first

principles under the assumption the particles do not interact.

• We have to take care about multiplying by N to scale up the single particle result to many particles. It works for the heat capacity but not for free energy or the entropy. To do it properly we need to find the partition function for an N atom quantum system.

2

3

2ln2

3)ln(

2πmkT

VkS

V

kT

V

FP

T

NkTPV 2

3k

T

STC

V

V

Page 37: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Multiple particles- what’s the problem?• Lets re-visit the partition function for the single

particle in a 3-D box.

• Where we have defined a new quantity nQ which is the quantum concentration. Since the particle concentration for this single atom case is 1/V we see that Ztrans is the ratio of the quantum concentration to the particle concentration.

QTrans VnmkT

VZ

23

22

Page 38: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum concentration• The quantum concentration is the

concentration associated with a particle in a cube whose length of side is given (roughly) by the thermal average de Broglie wavelength.

• For helium at room temperature the atomic concentration n = 1/V ~2.5 1019 cm-3 and quantum concetration nQ ~0.8 1025 cm-3. Thus n/nQ ~10-6 which makes He very dilute under normal conditions.

323

22

mkT

nQ

Page 39: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum concentration• If the system under consideration is very dilute

I.e. nQV = nQ/n<<1 then the quantum mechanical “size” of the particle is much smaller than the box its effectively trapped in.

• If nQV = nQ/n<<1 the gas may be considered to be in the classical regime and quantum effects can be neglected.

323

22

mkT

nQ

Page 40: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Mean energy of the particle

• We previously established (L19) that the mean energy of a subsystem in contact with a heat bath was given by:

• We have Z for our single atom

T

ZkTU

ln2

23

22

mkT

VZTrans

2

3

2

3ln 222 kT

T

Z

Z

kT

T

Z

Z

kT

T

ZkTU trans

trans

trans

trans

trans

Page 41: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

N atoms (at last!)

• Lets extend our model to N atoms in the box. We’ll do this in 2 stages: first we assume we can distinguish between the atoms somehow.

• N distinguishable particles in the box that do not interact with each other the system energy is the sum of their individual energies.

• The partition function is the sum of the Boltzmann factors over every possible state of the system (as always - this isn't new).

• These states can be found by taking every possible state of atom 1 with every possible state of atom 2 with every possible state of all the other atoms……

Page 42: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

N distinguishable atoms• These states can be found by taking every possible state of

atom 1 with every possible state of atom 2 with every possible state of all the other atoms……

• The partition function of the system is the product of the partition functions for the individual particles.

1

....)(

1

321

i

kT

i

kTdist

iatomatomatomi

eeZ

N

i

kT

i

kTdist

iiatomatomatom

eeZ

11

....)( 321

i

N

idist ZZ

1

Page 43: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

N distinguishable atoms - summary• The partition function of the system is the product

of the partition functions for the individual particles.

• This implies the free energy is is extensive:-

• If our particles were all distinguishable but had the same single particle partition function then the partition function for the system would be:

i

N

idist ZZ

1

N

ii

N

iidist FZkTZkTF

11

lnln

N

idist ZZ

Page 44: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

N indistinguishable atoms• 2nd stage N indistinguishable particles in the box

that do not interact with each other the system energy is the sum of their individual energies.

• The partition function is the sum of the Boltzmann factors over every possible state of the system (as always - this isn't new).

• However, as we now have indistinguishable particles we massively over count the number of distinct states.

• If it can be assumed that the number of available states is much larger than the number of particles then the probability of finding any two particles in the same state is very low. We then have N! different ways of assigning those states to the particles. But as the particles are indistinguishable all of these would be the same state!

Page 45: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

N indistinguishable atoms• We then have N! different ways of assigning those

states to the particles. But as the particles are indistinguishable all of these would be the same state!

• We have over-counted by a factor of N! for which we can correct:-

• The assumption that the number of states is far greater than the number of particles is true if we are in the classical regime nQ>>n.

• This adjustment is called corrected classical counting.

!N

ZZ

N

iN

Page 46: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

N indistinguishable atoms• Energy of an N particle gas.

• Free energy of N particle gas (using Stirling’s approx.)

)ln(lnln NNNkTZNkTZkTF transN

NkTNZNT

kT

N

Z

TkT

T

ZkTU

trans

N

transN

2

3)!lnln(

!ln

ln

2

22

Page 47: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

N indistinguishable atoms• Pressure of an N particle gas.

• Entropy of N particle gas the Sackur-Tetrode equation

2

5ln1ln

2

3ln

)1ln(ln,

VNn

NkNZNk

NNkT

Z

Z

kTZkN

T

FS

Q

trans

trans

trans

trans

NV

V

NkT

V

Z

ZNkT

V

FP trans

transNT

1

,

Page 48: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Dr Roger [email protected]

Rm. 23 Xtn. 8559

Lecture 25

Page 49: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum statistics

1. Create a simple model of the system2. Identify the energetic states of the system3. Calculate the partition function from the

energy levels.4. Deduce the free energy5. Differentiate to get the entropy, pressure

use a 2nd derivative to get response functions –Heat capacity and elastic moduli.

6. Compare with real data – is it a good fit – refine model.

Page 50: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Quantum concentration• If the system under consideration is very dilute

i.e. nQV = nQ/n<<1 then the quantum mechanical “size” of the particle is much smaller than the box its effectively trapped in.

• If nQV = nQ/n<<1 the gas may be considered to be in the classical regime and quantum effects can be neglected.

323

22

mkT

nQ

Page 51: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

N distinguishable atoms• These states can be found by taking every possible

state of atom 1 with every possible state of atom 2 with every possible state of all the other atoms……

• The partition function of the system is the product of the partition functions for the individual particles.

• If our particles have internal structure (molecules) then we can separate centre of mass motion (solved already) from internal motions. Etotal = Etrans + Einternal

N

i

kT

i

kTdist

iiatomatomatom

eeZ

11

....)( 321

i

N

idist ZZ

1)(

1transint

N

idist ZZZ

Page 52: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

N indistinguishable atoms• We then have N! different ways of assigning those

states to the particles. But as the particles are indistinguishable all of these would be the same state!

• We have over-counted by a factor of N! for which we can correct:-

• The assumption that the number of states is far greater than the number of particles is true if we are in the classical regime nQ>>n.

• This adjustment is called corrected classical counting.

!N

ZZ

N

iN

Page 53: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

N indistinguishable atoms• Pressure of an N particle gas.

• Entropy of N particle gas the Sackur-Tetrode equation

2

5ln

, VNn

NkT

FS Q

NV

V

NkT

V

Z

ZNkT

V

FP trans

transNT

1

,

Page 54: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

What’s the difference?• Compare the Sackur-Tetrode equation

• To the entropy of a single gas particle in a volume V

• The corrected classical counting ensures the ratio V/N appears in the entropy. This term is constant as the size of the system is scaled and ensures entropy is extensive.

2

5

2ln2

3ln

2

5ln

2mkT

N

VNk

VNn

NkS Q

2

3

2ln2

3ln

2mkT

VkS

Page 55: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Example – Ne • Ne (m=20.18 amu) at its boiling point (27.2K)

under 1atm (1.013 105 Pa)

• For 1 mole PV=NakT, Na/V = P/kT = 2.70 1026 m-3

• nQ = 2.417 1030 m-3

• ln (nQ/(N/V)) = ln(8951) = 9.1 (c.f. 5/2)• S=Nak[ln (nQ/(N/V)) +5/2] = 96.45 J mol-1 K-1

• Measured value S = 96.40 J mol-1 K-1

2

5

2ln2

3ln

2

5ln

2mkT

N

VNk

VNn

NkS Q

Page 56: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

Non- examples! Not dilute• Liquid He• From the density of the liquid we find n=N/V= 2

1028 m-3 • At 10K the de Broglie wavelength ~ 4 10-10 m• So nQ = 1.56 1028 m-3 • nQ/n<<1 is therefore not true – it’s a truly quantum

system as the atoms overlap

• Conduction electrons in a metal – assume one electron per atom so N/V ~ 1.25 10-10 1029 m-3

• This is equivalent to a box of side 210-10m

• With electrons of mass only 9.110-23kg, 210-10m as a thermal average de Broglie length corresponds to 3105K

Page 57: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

The Maxwell velocity distribution• We now have a working appreciation of ideal gases

from first principles - revisit the velocity distribution. We want to find n(u)du – the number of atoms with speeds between u and du.

• Consider a gas of N particles enclosed in a volume V in thermal equilibrium at temperature T.

• Probability of particular atom is in a micro (q.m) state with speed u (and hence kinetic energy ½mu2) is:-

1

2

1

2

Z

e

Z

ep

kTmu

kT

u

u

QVnmkT

VZ

23

21 2

Page 58: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

The Maxwell velocity distribution• Probability of any atom is in this micro (q.m) state is

Npu

• What we need to find is the number of states for each atom which have speeds in the desired range u to u+du.

• Recall

• Q.M. doesn’t deal with velocities but momenta. A momentum measurement in the x direction would yield ±ħkx where:

x

x L

nk 1

L

zn

L

yn

L

xnAzyxi

321 sinsinsin),,(

y

y L

nk 2

z

z L

nk 3

Page 59: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

The Maxwell velocity distribution• As these are directional we can construct a wave-vector

• This is reciprocal or momentum space and will crop up over and over again. For each solution of the wave equation defined by integer values of (n1, n2, n3) there is a unique state and hence point in k-space spaced apart by a length /L – each point occupies volume = (/L)3 = 3/V .

• The number of states with magnitudes between k and k+dk would therefore be (the 1/8 comes from only +ve n1, n2, n3):

x

x L

nk 1

y

y L

nk 2

z

z L

nk 3

zyx kkkjkik ˆˆˆ

32481

Vdkk

Page 60: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

The Maxwell velocity distribution• This defines a density of states in momentum

space:

• We want speeds in real space so use de Broglie relation

dkVk

dkkf2

2

2)(

kh

mumomentum

||

m

ku

dk

mdu

duumV

duug 2

3

22)(

Page 61: Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559 Lecture 22

The Maxwell velocity distribution• The number of particles in this range is therefore• The number of states in that range × probability of an atom in such a

state.

• Note no ħ in the expression – it’s a classical result that we derived in lecture 4!

duumV

mkTV

eNduun

kTmu

2

3

223

2

2

2

2

)(

2

dueukT

mNduun kT

mu22

23

22)(