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PHY304: Statistical Mechanics Lecture 5, Wednesday, January 13, 2021 Dr. Anosh Joseph IISER Mohali

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Page 1: PHY304: Statistical Mechanics · 2021. 2. 15. · That is, a certain reversible work is required to compress the gas. To compress the gas irreversibly, we require more work than in

PHY304: StatisticalMechanicsLecture 5,Wednesday, January 13, 2021

Dr. Anosh JosephIISER Mohali

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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End

PHY304: Statistical Mechanics Dr. Anosh Joseph, IISER Mohali