phy304: statistical mechanics · 2021. 2. 15. · that is, a certain reversible work is required to...
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PHY304: StatisticalMechanicsLecture 5,Wednesday, January 13, 2021
Dr. Anosh JosephIISER Mohali
Microstates and Macrostates
Equal probability of all compatible microstates is anassumption ...
... that can be justified by an experimentalexamination of the consequences.
As of today no one has invented an experiment whichdisproves this assumption.
Can say that for every macroscopic thermodynamicstate, there exists a large number of microscopicrealization possibilities.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
We may understand the effort of a system to reach amaximum in entropy ...
... as a transition into the most probable state.
That is, to a state with the largest number ofmicroscopic realization of possibilities.
S is thus a measure for the number of possiblemicrostates of a system ...
... when a macrostate is given.
Can formulate the second law of thermodynamics indifferent ways.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
(a.) There is no perpetual motion machine of thesecond kind.
That is, an engine that does nothing but performwork while cooling a heat bath cannot exist.
An engine of this type, if it exists, will transformheat into work with 100% efficiency.
(b.) Each isolated macroscopic system wants toassume the most probable state, that is, the statewhich is characterized by the largest number ofmicroscopic realization possibilities.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
Let us use both the laws to derive some consequences...
... for the state variables T , p,µ,φ, · · · in an isolatedsystem in equilibrium.
Imagine that the completely isolated system is dividedinto two parts.
The total system is characterized by the state variablesS, V , and N .
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
U1 U2S1, T1V1, p1N1, μ1
S2, T2V2, p2N2, μ2
⋯ ⋯
Figure: A system with two sub-systems separated by a wall.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
Internal energy U is a function of these variables.
All these state variables are constants since the totalsystem is isolated.
However, the partial systems can exchange work andheat between themselves.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
We have
U = U1 + U2 = constant, (1)
V = V1 + V2 = constant, (2)
S = S1 + S2 = constant, (3)
N = N1 + N2 = constant, (4)...
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
The first law for a reversible change of state for bothpartial systems tells us
dU1 = T1dS1 − p1dV1 + µ1dN1 + · · · , (5)
dU2 = T2dS2 − p2dV2 + µ2dN2 + · · · . (6)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
Since U = constant we must have
dU1 + dU2 = 0. (7)
Now, if we add Eqs. (5) and (6) we get
0 = (T1 − T2)dS1 − (p1 − p2)dV1
+(µ1 − µ2)dN1 + · · · . (8)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
In the above we used
dS1 = −dS2, dV1 = −dV2, · · · . (9)
Since change of variables S1, V1, N1, · · · in system 1underlies no restrictions, ...
... above equation is true if it separately holds that
T1 = T2, p1 = p2, µ1 = µ2, · · · . (10)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
These are the necessary conditions for thermodynamicequilibrium.
Note that the imagined partition is arbitrarily chosen.
Thus we can conclude that ...
... if an isolated system is in equilibrium, then it willhave the same constant temperature, pressure,chemical potential, etc. everywhere.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
Suppose there is a real wall instead of a fictitious wall,...
... and this prevents the change of volume or of theparticle number: dN1 = 0, dV1 = 0.
In that case, only the condition
T1 = T2 (11)
remains.
And the system is in thermal equilibrium.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Microstates and Macrostates
If p1 = p2 we have mechanical equilibrium.
If µ1 = µ2, we have chemical equilibrium.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Global and Local Equilibrium
If a system is in thermodynamic equilibrium, that is,...
... if it has the same temperature, pressure, andchemical potential everywhere, then we have a globalequilibrium.
If the system can be divided into partial systems andthey themselves have their own values for thethermodynamic quantities ...
... then we have a system with local equilibrium.
Differences in thermodynamic quantities induce flowsin fluxes coming from differences in thermodynamicpotentials.PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Global and Local Equilibrium
As an example we can look at heavy iron collisions(nucleus - nucleus collisions).
Drops of nuclear matter collide and different parts ofthe nuclei have, at a given time, very differenttemperatures, densities, particle numbers etc.
Here we can assume partial regions to beapproximately in (local) equilibrium.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Global and Local Equilibrium
Another example is the different parts of a star.
Studying systems with local potential differencesrequires the use of transport theories ...
... and it is beyond the scope of this course.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
We benefit from cyclic heat engines in our day to daylives.
Nuclear power plants and combustion engines areexamples of such engines.
Can invoke the first and second laws ofthermodynamics to arrive at far reaching conclusions...
... concerning the transformation of heat into work.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
Figure: A steam engine is a heat engine that performsmechanical work using steam as its working fluid.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
The experience from the second law tells us that ...
... the work performed in reversible processes issmallest and the heat largest
δWirr > δWrev = −pdV , (12)
δQirr < δQrev = T dS. (13)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
If the ideal gas expands into vacuum withoutperforming work, we have δWirr = 0.
If the gas expands reversibly (always in equilibriumwith the external force) ...
... then it performs the work
δWrev = −pdV . (14)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
If dV > 0, we have
δWirr = 0 > δWrev = −pdV . (15)
If the gas is reversibly compressed, we have
δWrev = −pdV > 0. (16)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
That is, a certain reversible work is required tocompress the gas.
To compress the gas irreversibly, we require morework than in the reversible case.
We have
δWirr > δWrev = −pdV (dV < 0). (17)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
In the irreversible expansion system performs lesswork than in the reversible case.
For irreversible compression we require more workthan in the reversible case.
If we have a cyclic engine, which leads the workingmaterial back to the initial state after one cycle, ...
... it holds according to the first law that∮dU = 0. (18)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
Thus,0 = ∆Wrev + ∆Qrev = ∆Wirr + ∆Qirr. (19)
From the above considerations we see that among allpossible processes, ...
... reversible processes produce the largest amount ofutilizable work.
Let us compute the efficiency of a general reversiblecyclic process.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
Heat Bath
Heat BathTc
Th
engine cycleprocessΔU = 0
ΔQh
ΔQc
ΔW
Figure: Working parts of a heat engine.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
Each engine needs a heat reservoir (T = Th) fromwhich to extract the heat energy and ...
... a second reservoir (T = Tc) to absorb the waste heatof the process (that is, to cool the engine).
An engine which works with only one reservoir cannotperform utilizable work in a cyclic process.
According to the first law
0 = ∆W + ∆Qh + ∆Qc. (20)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
In the earlier lecture we saw the definition of efficiencyη as the fraction
η =|∆W |
∆Qh. (21)
This tells us how much heat energy ∆Qh istransformed into work
(∆W < 0,∆Qh > 0,∆Qc < 0):
ηirr < ηrev = −∆W∆Qh
=∆Qh + ∆Qc
∆Qh. (22)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
The engine must work reversibly.
So it must hold that
δQh = Th dS, (23)
δQc = −Tc dS. (24)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
In above, dS is the change in entropy, in a smallpartial step of the cycle.
dS 6= 0 here, although only equilibrium states occur.
The reason is that the engine (the working material) isnot an isolated system.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
The signs in Eq. (23) indicate the directions given inthe figure above.
Since ∆W < 0 (performed work) we have
η =|∆W |
∆Qh=
Th − Tc
Th. (25)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
We also note thatη 6 1. (26)
Equation (25) always holds, ...
... independent of the working material and thetechnical realization of the engine.
If there were two reversible cycles with differentefficiencies, then ...
... we could construct a perpetual motion machine ofthe second kind.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
Th
Tc
WA (WB − WA)QhA QhB
QcA QcB
A B
Figure: Perpetual motion machine of the second kind.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
Suppose we have two heat engines A and B withefficiencies ηA and ηB.
Consider the case ηB > ηA.
We can connect the two engines as shown in the figureabove.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
Engine A works here in the reverse direction (as arefrigerator).
It expels energy WA and the heat QcA from coldreservoir (T = Tc) as heat QhA into the hot reservoir(T = Th).
The energy WA is generated by the process B.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
We assume that the process B has higher efficiencythan process A.
An amount or work WB − WA remains as useful work.
Choosing the signs according to the figure, we have
WA = ηAQhA, (27)
WB = ηBQhB, (28)
QcA = QhA − WA, (29)
QcB = QhB − WB. (30)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
Now adjust the engine such that QhA = QhB = Qh .
Then there will be no change in the hot reservoir in along time scale since the amount of heat is taken offas pumped back.
Then,
QcA = (1 − ηA)Qh > QcB = (1 − ηB)Qh (31)
since ηB > ηA.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
Thus the heat
∆Qc = QcA − QcB = (ηB − ηA)Qh (32)
is effectively drawn off from the cold reservoir.
Hence the engine performs the work
WB − WA = (ηB − ηA)Qh (33)
while cooling the cold reservoir.
This is nothing but the perpetual motion machine ofthe second kind.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Thermodynamic Engines
It permanently performs work and merely cools a heatreservoir.
All the failed attempts to construct such a machine ...
... (one that respects the energy conservation law buyviolates the entropy law) ...
... resulted in the common understanding that
∆Qc = WB − WA = 0, (34)
orηA = ηB =
Th − Tc
Th(35)
for all reversible processes given at Th and Tc.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Work Diagrams of Engines
In the figure below we show the pV diagrams and TSdiagrams of the Carnot and Otto engines.
The work performed per cycle corresponds to theshaded area.
∆W = −
∮pdV =
∮T dS. (36)
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Work Diagrams of Engines
P
T V
S
Otto engine Carnot process
Figure: Work diagrams of Otto and Carnot engines.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
Work Diagrams of Engines
It is exactly as large as the difference of the heats
∆Qh = Th∆S (37)
and∆Qc = Tc∆S. (38)
Real processes (for example, the Otto engine) deviatemore or less from this diagram.
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
References
I W. Greiner, L. Neise, H. Stocker, and D. Rischke,Thermodynamics and Statistical Mechanics,Springer (2001).
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali
End
PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali