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Lecture 2 – The First Law (Ch. 1)Lecture 2 – The First Law (Ch. 1)Wednesday January 9Wednesday January 9thth
•Statistical mechanics
•What will we cover (cont...)
•Chapter 1
•Equilibrium
•The zeroth law
•Temperature and equilibrium
•Temperature scales and thermometers
Reading: Reading: All of chapter 1 (pages 1 - 23)All of chapter 1 (pages 1 - 23)1st homework set due next Friday 1st homework set due next Friday
(18th).(18th).Homework assignment available on web Homework assignment available on web
page.page.Assigned problems: 2, 6, 8, 10, 12Assigned problems: 2, 6, 8, 10, 12
Probability and StatisticsProbability and Statistics
PHY 3513 (Fall 2006)
50 55 60 65 70 75 80 85 90 95 1000
1
2
3
4 Mean 78%Median 81%
D
C+
BB+
A
Num
ber
of s
tude
nts
Score (%)
Probability and StatisticsProbability and StatisticsProbability distribution functionProbability distribution function
0
2
4
6
8
10
12
14
16
18
0 20 40 60 80 1000
Num
ber
of s
tude
nts
Final score (%)
PHY2048 - Fall 2002458 studentsMean 63±0.5
Sigma 27.5±1.5Area 470±33
Input parameters: Quality of teacher and level of difficultyAbilities and study habits of the students
2
2
1exp
22
x xf x
Gaussian statistics:
0 1 2 3 4 5 6 7 80
20
40
60
80
100
120
PHY2048 - Fall 2002 (test 2)
Mean 3.03±0.09Sigma 3.41±0.32Area 561±75
522 students
Num
ber
of s
tude
nts
Score (out of 8) 2
2
1exp
22
x xf x
Input parameters: Quality of teacher and level of difficultyAbilities and study habits of the students
Probability and StatisticsProbability and StatisticsProbability distribution functionProbability distribution function
Gaussian statistics:
The connection to thermodynamicsThe connection to thermodynamics
1/ 2
1/ 2
1/ 2
2
8
3
m
rms
kTv
m
kTv
m
kTv
m
3/ 2
2 24 exp / 22
mf v v mv kT
kT
Maxwell-Boltzmann Maxwell-Boltzmann speedspeed distribution function distribution function
2 21 2 1 2
3 3 2 3PV Nmv N mv N NkT
Equation of state:
Input parameters:Temperature and mass (T/m)
Probability and EntropyProbability and Entropy
Suppose you toss 4 coins. There are 16 (24) possible outcomes. Each one is equally probably, i.e. probability of each result is 1/16. Let W be the number of configurations, i.e. 16 in this case, then:
1 1
1; 1tot i
i
p P p W pW
Boltzmann’s hypothesis concerning entropy:
lnBS k Wwhere kB = 1.38 × 1023 J/K is Boltzmann’s constant.
The bridge to thermodynamics The bridge to thermodynamics through through ZZ exp / ;j
j
Z E kT js represent different configurations
1/ kT
Quantum statistics and identical Quantum statistics and identical particlesparticlesIndistinguishable events
Heisenberguncertaintyprinciple
The indistinguishability of identical particles has a profound effect on statistics. Furthermore, there are two fundamentally different types of particle in nature: bosons and fermions. The statistical rules for each type of particle differ!
The connection to thermodynamicsThe connection to thermodynamics
1/ 2
1/ 2
1/ 2
2
8
3
m
rms
kTv
m
kTv
m
kTv
m
3/ 2
2 24 exp / 22
mf v v mv kT
kT
Maxwell-Boltzmann Maxwell-Boltzmann speedspeed distribution function distribution function
Input parameters:Temperature and mass (T/m)
ConsiderConsider T T 00
Energy
# of
bos
ons
1110987654321
0
Bose particles (bosons)Bose particles (bosons)
Internal energy = 0Entropy = 0
Energy
# of
fer
mio
ns
1
0
Fermi-Dirac particles (fermions)Fermi-Dirac particles (fermions)
Pauli exclusion principle
EF
Internal energy ≠ 0Free energy = 0Entropy = 0
Particles are indistinguishable
ApplicationsApplications
Insulating solid Diatomic molecular gas
Specific heats:
Fermi and Bose gases
Thermal equilibriumThermal equilibrium
System 1
System 2Heat
Pi, Vi Pe, Ve
If If PPii = = PPee and and VVii = = VVee, then system 1 and systems 2 are already in , then system 1 and systems 2 are already in
thermal equilibrium. thermal equilibrium.
Different aspects of equilibriumDifferent aspects of equilibrium
1 kg
1 kg
Mechanical equilibrium:
Pe, Ve
Piston
gas
Already in thermalequilibrium
When Pe and Ve no longer change (static) mechanical equilibrium
P, nl, Vl
P, nv, Vv
Different aspects of equilibriumDifferent aspects of equilibrium
Chemical equilibrium:
Already in thermal and mechanical equilibrium
liquid
vapor
nl ↔ nv nl + nv = const.
When nl, nv, Vl & Vv no longer change (static) chemical equilibrium
A, B & AB
Different aspects of equilibriumDifferent aspects of equilibrium
Chemical reaction:
A + B ↔ AB # molecules ≠ const.
Already in thermal and mechanical equilibrium
When nA, nB & nAB no longer change (static) chemical equilibrium
Different aspects of equilibriumDifferent aspects of equilibrium
If all three conditions are met:
•Thermal•Mechanical•Chemical
Then we talk about a system being thermodynamic equilibrium.
Question:Question:
How do we characterize the equilibrium state of a system?How do we characterize the equilibrium state of a system?
In particular, thermal equilibrium.....In particular, thermal equilibrium.....
The Zeroth LawThe Zeroth Law
AA CC CCBBa)a) b)b)
VVAA, , PPAA VVCC, , PPCC VVCC, , PPCCVVBB, , PPBB
“If two systems are separately in thermal equilibrium with a third system, they are in equilibrium with each other.”
AA BBc)c)
VVAA, , PPAA VVBB, , PPBB
The Zeroth LawThe Zeroth Law
AA CC CCBBa)a) b)b)
VVAA, , PPAA VVCC, , PPCC VVCC, , PPCCVVBB, , PPBB
“If two systems are separately in thermal equilibrium with a third system, they are in equilibrium with each other.”
•This leads to an equation of state, f(P,V ), where the parameter, (temperature), characterizes the equilibrium.
•Even more useful is the fact that this same value of also characterizes any other system which is in thermal equilibrium with the first system, regardless of its state.
More on thermal equilibriumMore on thermal equilibrium
characterizes (is a measure of) the equilibrium.
•Continuum of different mechanical equilibria (P,V) for each thermal equilibrium, .
•Experimental fact: for an ideal, non-interacting gas, PV = constant (Boyle’s law).
•Why not have PV proportional to ; Kelvin scale.
Each equilibrium is unique. Erases all information on history.
Equations of stateEquations of state•An equation of state is a mathematical relation between state variables, e.g. P, V & .
•This reduces the number of independent variables to two.
General form:General form: ff ((PP,,VV,,) = 0 or ) = 0 or = = ff ((PP,,VV))
Example:Example: PVPV = = nRnR (ideal gas law)(ideal gas law)
•Defines a 2D surface in P-V- state space.
•Each point on this surface represents a unique equilibrium state of the system.
ff ((PP,,VV,,) = 0) = 0
Equilibrium state
-300 -200 -100 0 100 200
-273.15 oCPr
essu
re
Temperature (oC)
P = aP = a[[TT((ooC)C) + + 273.15]273.15]
Gas Pressure ThermometerGas Pressure Thermometer
Celsius scale
Steam point
Ice point
LN2
0
10
20
-300 -250 -200 -150 -100 -50 0 50 100
T = aP + bValue Error
b -267.2 2.8a 19.5 0.2 = 2.2
Data Linear fit
Temperature (oC)
Pres
sure
(ar
b. u
nits
)
P T17.7 7913.8 03.63 -195.97
An experiment that I did in PHY3513An experiment that I did in PHY3513
0 100 200 300 400
Pres
sure
Temperature (K)
TT(K)(K) = T = T((ooC) + 273.15C) + 273.15
The ‘absolute’ kelvin scaleThe ‘absolute’ kelvin scale
Triple pointof water:273.16 K