WEBVTT

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[SQUEAKING]

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[RUSTLING]

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[CLICKING]

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GIAN PAOLO BERETTA:
So where do we stand?

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We've gone a long way,
not yet done heat,

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but we've done temperature.

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And we introduced this
diagram, energy versus entropy,

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that allows us to represent
most of the results

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that we have discussed so far.

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So I want to do a little
more with this diagram.

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Notice that it took us a
while to get to temperature

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because in order to
define temperature,

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we need the state principle
and the fundamental relation

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for the stable
equilibrium states.

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Because it's only
for those states

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that we can define the
slope of this curve, which

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is the temperature.

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In other words, states
that are inside the region,

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these are non-stable, in
general, non-equilibrium states.

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There is no temperature
defined there.

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Although, we will
see as we go on

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that we may be able to represent
the system as a composite

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of several smaller systems that
are close to equilibrium, so

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that somehow, we can
assign temperatures.

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That's what we do
in fluid mechanics.

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That's an interesting
application of what we're doing.

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We have seen that
with this diagram,

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if I have a generic
state here and I

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want to represent what
I can do-- the best

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I can do in a
weight process, best

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in the sense of trying to
extract as much energy as

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possible from our
system in such a way

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that we make something
useful, like lifting a weight,

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the maximum we can do
in a weight process

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is the adiabatic availability
of that state, which

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is represented here by
the difference in energy

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on the vertical line.

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And in fact, the final state,
when we do this maximum,

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we have done the
process reversibly.

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Otherwise, you get less.

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And in a reversible
weight process,

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the entropy remains constant.

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We've seen that as one of the
theorems that we had cited.

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And so the process
that extracts--

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the weight process that extracts
the adiabatic availability,

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moves vertically down until
you reach the lowest energy

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state with that entropy.

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You cannot go below, so you
cannot extract more energy

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because there are no
states below that one.

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We've discussed the fact
that the thermal reservoir

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has a constant temperature.

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And you actually had in the
homework this discussion

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to try to reproduce it, the
definition of temperature

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for a reservoir.

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So for the reservoir, the
stable equilibrium state curve

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is just a straight line.

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The allowed states
are on the left.

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Also, reservoirs can have
non-equilibrium states.

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But most of the time,
we are interested in

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their stable equilibrium ones.

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And then we also constructed
the available energy.

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And I want to somehow do
this again on the blackboard,

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just so that we can see
together this construction.

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And I'm going to do it in
a slightly different way,

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so that we can--

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so, say that this
is our system A,

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and this is its E
versus S diagram.

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And this time, let's do--

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you see in the
viewgraph, state A1

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is to the left of the final
mutual equilibrium state

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with reservoir R, which is AR.

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So I'm going to do it just
for a change differently.

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So I assume now that
the state is here, A1,

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and that the final
state, when I will

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reach mutual equilibrium
with the reservoir,

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it's going to be here.

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That means that the temperature
of the reservoir is this one.

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Because when they are
in mutual equilibrium,

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the system and the reservoir
have the same temperature.

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We haven't proved that yet,
but we will do it, hopefully,

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today just after this example.

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So let me draw below
here, also, the E versus S

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diagram for the reservoir.

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So you see that in order to go
from here-- from this state,

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to this state, the system
must decrease its entropy.

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Definitely, it cannot do
it in a weight process,

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because in a weight process,
the most you can do is keep

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the entropy constant.

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But if you're not doing
things reversibly,

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you generate entropy.

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So you're going to move to
the right, not to the left.

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So in order to do that, this
is the reason why I wanted to--

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we can use the reservoir
because we are considering--

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we are starting the
adiabatic availability.

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The available energy is
the adiabatic availability

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of a composite system in
which there is a reservoir.

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So my initial state is here.

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I have a reservoir,
and what I want to do

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is lift the weight
as much as possible.

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So the reservoir is
available to do this job.

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We need to remove
entropy from the system.

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So we can transfer that entropy
from system A to the reservoir.

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So the system must decrease
its entropy from S1 to SR.

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The reservoir can take it.

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OK, so the reservoir has
a stable equilibrium state

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with this slope.

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So it's this.

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It must take entropy so
its entropy will increase.

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So the initial state
will be here, R1,

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and the final state
will be here, R2.

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And the entropy of the reservoir
will go from S1R to S1, to S2R.

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Now, so you would like to give
just entropy to the reservoir.

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Because, look, so far--

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suppose you consider here
this is the initial energy

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of A, and this is the final
energy of A. And we call omega

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1R the energy that we
transfer to the weight.

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So if we could do that
process without the need

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of the reservoir, it would be
a weight process for system A.

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And we would extract
this much energy.

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But we cannot do it
in a weight process,

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because we cannot
subtract entropy.

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We cannot destroy entropy.

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So we need to transfer
it to the reservoir.

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So we need to give
it to the reservoir.

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And the reservoir, in
order to accept entropy--

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you see, we want to move this
initial state of the reservoir

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to the right.

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But there are no
states to the right,

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because that's the
maximum entropy

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for that value for the energy.

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You need to give it
also some energy.

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And that energy is the
difference between E2 and E1

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for the reservoir.

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So E2, you must subtract that.

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And so you take this segment,
and you put it up here,

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if you want.

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And it's this much.

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It's not precise in scale,
but this much is that much.

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So you subtract from this
energy difference, this energy

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difference, and what
you are left with is,

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again, you see from this
point to that point.

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And that's omega 1R.

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Notice that this point is equal
to a geometrical construction.

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It doesn't correspond
to a state,

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because it's below the stable
equilibrium state curve.

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It's just the construction
of bringing from--

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translating this energy
difference into there.

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So that I subtract
it from the segment

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that represents the difference
in energy for the rest.

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And then all I have
to do is remember

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that the stable equilibrium
state curve for a reservoir

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is a straight line.

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So I can rewrite this as
TR times S2R minus S1R.

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And then I also remember
that the amount of entropy

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that the reservoir must take is
equal to the decrease in entropy

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that I need for my system.

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So S2 minus S1 is equal to
S1A minus SRA. And so we

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finally get the expression
for the available energy

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that we have--

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we started with, we wanted
to represent graphically.

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OK.

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So this brings us to a
very important concept

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for applications, for
applications in engineering,

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where you want to extract,
convert energy from systems.

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And often, the
systems you start with

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are in stable equilibrium
states, maybe hot, but still

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stable equilibrium states.

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For example, when you--

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in a steam power plant,
you just heat up water.

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You make steam,
and that steam is

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some sort of a high temperature
stable equilibrium state.

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So here is the state.

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And you would like to extract
as much energy as possible.

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So you would like to go down.

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But going down on the diagram,
it would be an impossibility,

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I mean, a perpetual motion
machine of the second kind.

00:14:29.350 --> 00:14:31.620 align:middle line:90%
So it's impossible.

00:14:31.620 --> 00:14:33.960 align:middle line:84%
In order to go
down in energy, you

00:14:33.960 --> 00:14:39.040 align:middle line:84%
need to subtract
also some entropy.

00:14:39.040 --> 00:14:46.960 align:middle line:84%
But then you need a system
that takes up that entropy.

00:14:46.960 --> 00:14:50.650 align:middle line:84%
And usually, that role is played
by the environment, or maybe

00:14:50.650 --> 00:15:00.010 align:middle line:84%
the nearby river, or lake,
or the sea, or the air.

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That is the system in which
you dump the entropy that you

00:15:07.990 --> 00:15:10.380 align:middle line:90%
must extract from your system.

00:15:10.380 --> 00:15:13.070 align:middle line:90%


00:15:13.070 --> 00:15:18.350 align:middle line:84%
So it's like you use the
environment as an entropy sink.

00:15:18.350 --> 00:15:21.030 align:middle line:84%
But the environment
has its own needs.

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It does not take
entropy for free.

00:15:25.670 --> 00:15:29.030 align:middle line:84%
It takes entropy only
if you give it, also,

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enough energy so that it can
climb in the stable equilibrium

00:15:33.320 --> 00:15:33.850 align:middle line:90%
state curve.

00:15:33.850 --> 00:15:38.800 align:middle line:90%


00:15:38.800 --> 00:15:41.830 align:middle line:84%
So that energy
that you are giving

00:15:41.830 --> 00:15:47.650 align:middle line:84%
to the environment in a typical
energy systems application

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is not a waste.

00:15:53.030 --> 00:15:55.140 align:middle line:84%
Sometimes, you say,
well, I'm wasting energy.

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No, no, it's not waste.

00:15:58.310 --> 00:16:01.770 align:middle line:84%
You're using the environment
for a very important function.

00:16:01.770 --> 00:16:03.900 align:middle line:90%
You're using the energy there.

00:16:03.900 --> 00:16:07.010 align:middle line:84%
That's not where the
inefficiency of your power plant

00:16:07.010 --> 00:16:08.490 align:middle line:90%
is.

00:16:08.490 --> 00:16:12.450 align:middle line:84%
The inefficiencies come from
the internal irreversibilities

00:16:12.450 --> 00:16:15.860 align:middle line:90%
that are in your machinery.

00:16:15.860 --> 00:16:23.240 align:middle line:84%
Instead, the role
of the reservoir

00:16:23.240 --> 00:16:29.900 align:middle line:84%
here is important because
otherwise, you wouldn't

00:16:29.900 --> 00:16:33.470 align:middle line:90%
be able to do anything useful.

00:16:33.470 --> 00:16:36.890 align:middle line:84%
We'll come back
to this when I do

00:16:36.890 --> 00:16:43.730 align:middle line:84%
a quick review of heat
engines and exergy stuff

00:16:43.730 --> 00:16:48.400 align:middle line:90%
in a couple of lectures.

00:16:48.400 --> 00:16:57.130 align:middle line:84%
But today, I want to go
into some details on how

00:16:57.130 --> 00:17:04.200 align:middle line:84%
we show that for systems to
be in mutual equilibrium,

00:17:04.200 --> 00:17:05.750 align:middle line:84%
you need equality
of temperatures

00:17:05.750 --> 00:17:07.470 align:middle line:90%
when they can exchange energy.

00:17:07.470 --> 00:17:11.400 align:middle line:84%
You need equality of pressures
when they can exchange volume.

00:17:11.400 --> 00:17:14.000 align:middle line:84%
You need equality of
chemical potentials

00:17:14.000 --> 00:17:17.240 align:middle line:84%
of the various constituents
for those constituents

00:17:17.240 --> 00:17:22.010 align:middle line:84%
that can be transferred from
one system to the other.

00:17:22.010 --> 00:17:29.750 align:middle line:84%
And the way we prove this is
by means of the maximum entropy

00:17:29.750 --> 00:17:30.500 align:middle line:90%
principle.

00:17:30.500 --> 00:17:39.770 align:middle line:84%
You remember that we proved that
the stable equilibrium state is

00:17:39.770 --> 00:17:43.190 align:middle line:84%
the maximum entropy one
among those states that

00:17:43.190 --> 00:17:46.470 align:middle line:84%
have the same energy and
amounts and parameters.

00:17:46.470 --> 00:17:48.960 align:middle line:84%
I'm not going to repeat
amounts and parameters.

00:17:48.960 --> 00:17:52.670 align:middle line:84%
Let's keep them fixed
for the entire day.

00:17:52.670 --> 00:18:01.200 align:middle line:90%
So how does the proof work?

00:18:01.200 --> 00:18:04.695 align:middle line:84%
You say, all right, let's
start from two systems,

00:18:04.695 --> 00:18:09.910 align:middle line:84%
A and B, that are in
mutual equilibrium.

00:18:09.910 --> 00:18:11.950 align:middle line:84%
Therefore, the
composite system C,

00:18:11.950 --> 00:18:15.660 align:middle line:84%
this is the E versus S diagram
of the composite system

00:18:15.660 --> 00:18:16.300 align:middle line:90%
of the two.

00:18:16.300 --> 00:18:18.910 align:middle line:90%


00:18:18.910 --> 00:18:27.650 align:middle line:84%
So the composite system is on
the stable equilibrium state

00:18:27.650 --> 00:18:32.220 align:middle line:84%
curve because by definition
of mutual equilibrium,

00:18:32.220 --> 00:18:33.750 align:middle line:90%
it's when the two systems--

00:18:33.750 --> 00:18:36.406 align:middle line:84%
the composite, is in
stable equilibrium.

00:18:36.406 --> 00:18:39.120 align:middle line:90%


00:18:39.120 --> 00:18:43.990 align:middle line:84%
So now what we do is, all right,
let's construct another state.

00:18:43.990 --> 00:18:53.850 align:middle line:84%
We'll call it C1, with the same
energy, but a different state.

00:18:53.850 --> 00:18:56.500 align:middle line:84%
Being a different state
with the same energy,

00:18:56.500 --> 00:19:01.280 align:middle line:84%
it necessarily has
lesser entropy.

00:19:01.280 --> 00:19:06.050 align:middle line:84%
We have many choices
for this other state C1.

00:19:06.050 --> 00:19:09.950 align:middle line:84%
So we are going to choose
one that is easy for us

00:19:09.950 --> 00:19:10.615 align:middle line:90%
in some sense.

00:19:10.615 --> 00:19:13.290 align:middle line:90%


00:19:13.290 --> 00:19:24.810 align:middle line:84%
So for example, here is my
system A. Here is my system B.

00:19:24.810 --> 00:19:26.790 align:middle line:84%
In the mutual
equilibrium state--

00:19:26.790 --> 00:19:30.240 align:middle line:90%
so now these are the partial--

00:19:30.240 --> 00:19:36.810 align:middle line:84%
the local
energy-entropy diagrams.

00:19:36.810 --> 00:19:41.100 align:middle line:84%
Sometimes I forget to write
the ES because I give it

00:19:41.100 --> 00:19:45.020 align:middle line:90%
for granted, but I shouldn't.

00:19:45.020 --> 00:19:50.510 align:middle line:84%
So let's say that this is
temperature T0 of system A,

00:19:50.510 --> 00:19:58.190 align:middle line:84%
and this is temperature T0 of
system B. And we want to prove,

00:19:58.190 --> 00:20:01.760 align:middle line:84%
so I'll build it in already
in this construction,

00:20:01.760 --> 00:20:04.800 align:middle line:84%
that the two temperatures
must be equal.

00:20:04.800 --> 00:20:13.910 align:middle line:84%
So I start from for them being
in a stable equilibrium state.

00:20:13.910 --> 00:20:15.940 align:middle line:84%
And then I consider
another state,

00:20:15.940 --> 00:20:23.200 align:middle line:84%
which is this one, with the
same energy for the composite,

00:20:23.200 --> 00:20:26.350 align:middle line:90%
but different for the parts.

00:20:26.350 --> 00:20:28.930 align:middle line:90%
So let's see.

00:20:28.930 --> 00:20:35.410 align:middle line:84%
Let me arbitrarily choose a
small amount of energy, dE,

00:20:35.410 --> 00:20:41.270 align:middle line:84%
and therefore, assume
that my system A--

00:20:41.270 --> 00:20:44.380 align:middle line:84%
I'll make it bigger so
as to represent it--

00:20:44.380 --> 00:20:52.890 align:middle line:84%
has an energy higher
by an amount dE.

00:20:52.890 --> 00:20:59.870 align:middle line:84%
And B has an energy
smaller by the same amount,

00:20:59.870 --> 00:21:01.580 align:middle line:84%
so that since
energy is additive,

00:21:01.580 --> 00:21:03.070 align:middle line:84%
the total energy
remains constant.

00:21:03.070 --> 00:21:04.810 align:middle line:84%
And therefore, the
composite system

00:21:04.810 --> 00:21:08.040 align:middle line:90%
is still at the same energy.

00:21:08.040 --> 00:21:12.640 align:middle line:84%
Plus, I mean, I have many
choices on how to do this,

00:21:12.640 --> 00:21:16.860 align:middle line:84%
but I'm going to choose the
easy way, easy for our proof,

00:21:16.860 --> 00:21:22.860 align:middle line:84%
so that both system A and
system B change their energies,

00:21:22.860 --> 00:21:24.790 align:middle line:84%
but remain in stable
equilibrium states.

00:21:24.790 --> 00:21:28.900 align:middle line:90%


00:21:28.900 --> 00:21:36.270 align:middle line:84%
So this is how I construct
state A1 and B1 so as

00:21:36.270 --> 00:21:37.955 align:middle line:90%
to make up the composite C1.

00:21:37.955 --> 00:21:43.510 align:middle line:90%


00:21:43.510 --> 00:21:49.400 align:middle line:84%
Since I want to do, also,
equality of pressure,

00:21:49.400 --> 00:21:51.790 align:middle line:90%
I want to prove also that.

00:21:51.790 --> 00:21:57.840 align:middle line:84%
Think also of the
volume that changes.

00:21:57.840 --> 00:22:00.390 align:middle line:84%
So this becomes a
three-dimensional surface.

00:22:00.390 --> 00:22:01.640 align:middle line:90%
I'm not going to represent it.

00:22:01.640 --> 00:22:03.980 align:middle line:90%
Otherwise, it gets too messy.

00:22:03.980 --> 00:22:09.950 align:middle line:84%
But imagine that in addition
to changing the energy,

00:22:09.950 --> 00:22:13.620 align:middle line:84%
I'm also going to
change the volume.

00:22:13.620 --> 00:22:22.030 align:middle line:84%
So the partition between
system A and B is movable.

00:22:22.030 --> 00:22:26.530 align:middle line:84%
And let's move the partition
slightly to the right

00:22:26.530 --> 00:22:29.620 align:middle line:84%
so that A gains a
little volume dV,

00:22:29.620 --> 00:22:34.030 align:middle line:90%
and B yields a little volume dV.

00:22:34.030 --> 00:22:34.810 align:middle line:90%
OK.

00:22:34.810 --> 00:22:39.510 align:middle line:84%
So now we constructed
this state C1,

00:22:39.510 --> 00:22:41.880 align:middle line:84%
that has the same energy
and also, the same volume

00:22:41.880 --> 00:22:54.270 align:middle line:84%
for system C. And what
we want to make use of

00:22:54.270 --> 00:22:57.503 align:middle line:90%
is the fact that--

00:22:57.503 --> 00:22:58.920 align:middle line:84%
the maximum entropy
principle-- so

00:22:58.920 --> 00:23:05.850 align:middle line:84%
that the entropy of C in
state 0 is greater than that

00:23:05.850 --> 00:23:07.470 align:middle line:90%
in, say, in C1.

00:23:07.470 --> 00:23:11.820 align:middle line:90%
So that I can write it this way.

00:23:11.820 --> 00:23:16.050 align:middle line:84%
S1C minus S10 must
be less than 0.

00:23:16.050 --> 00:23:17.730 align:middle line:90%
So we start.

00:23:17.730 --> 00:23:19.320 align:middle line:90%
We want to compute this.

00:23:19.320 --> 00:23:26.780 align:middle line:84%
And we end up imposing
that it must be negative.

00:23:26.780 --> 00:23:33.290 align:middle line:84%
Then the next steps are simply
using the additivity of entropy.

00:23:33.290 --> 00:23:36.120 align:middle line:90%


00:23:36.120 --> 00:23:39.690 align:middle line:84%
So in state initial and
final state, the entropy of C

00:23:39.690 --> 00:23:46.830 align:middle line:84%
is the sum of the entropies
of A and B. We just rearrange,

00:23:46.830 --> 00:23:50.990 align:middle line:84%
so that it's the additivity
of the entropy differences.

00:23:50.990 --> 00:23:53.100 align:middle line:84%
And then because of
our construction,

00:23:53.100 --> 00:23:58.910 align:middle line:84%
because we selected this
particular state that still

00:23:58.910 --> 00:24:02.340 align:middle line:84%
belongs to the stable
equilibrium state curve,

00:24:02.340 --> 00:24:06.860 align:middle line:84%
we can use a Taylor
series expansion

00:24:06.860 --> 00:24:08.750 align:middle line:84%
of the fundamental
relation, which

00:24:08.750 --> 00:24:11.720 align:middle line:84%
describes this
curve, to represent

00:24:11.720 --> 00:24:14.510 align:middle line:84%
how the entropy changes
for the subsystems.

00:24:14.510 --> 00:24:18.560 align:middle line:90%


00:24:18.560 --> 00:24:24.350 align:middle line:90%
You remember-- let's see--

00:24:24.350 --> 00:24:32.790 align:middle line:84%
yeah, we had S for
stable equilibrium

00:24:32.790 --> 00:24:35.040 align:middle line:90%
is a function like that.

00:24:35.040 --> 00:24:47.720 align:middle line:84%
And if I want to
compute the value of--

00:24:47.720 --> 00:24:51.190 align:middle line:90%
so this represents this curve.

00:24:51.190 --> 00:24:59.360 align:middle line:84%
So if I want to compute the
difference of, say, S2 minus S1,

00:24:59.360 --> 00:25:04.760 align:middle line:84%
this being state 1 and
this being state 2--

00:25:04.760 --> 00:25:15.240 align:middle line:84%
or actually, sorry, let's make
it 0 and 1, so S1 minus S0.

00:25:15.240 --> 00:25:16.270 align:middle line:90%
That's what we want.

00:25:16.270 --> 00:25:16.770 align:middle line:90%
Yeah.

00:25:16.770 --> 00:25:21.450 align:middle line:90%


00:25:21.450 --> 00:25:25.020 align:middle line:84%
I can do a Taylor
series expansion

00:25:25.020 --> 00:25:28.200 align:middle line:84%
around the initial
state, the initial point

00:25:28.200 --> 00:25:29.820 align:middle line:90%
of the function, so around E0.

00:25:29.820 --> 00:25:32.700 align:middle line:90%


00:25:32.700 --> 00:25:39.550 align:middle line:84%
So let me do it only as if it
were only a function of energy.

00:25:39.550 --> 00:25:43.200 align:middle line:84%
So forget about these
ones for the moment.

00:25:43.200 --> 00:26:01.700 align:middle line:84%
So that would be S of E0 plus
S prime of E0 times E1 minus E0

00:26:01.700 --> 00:26:09.650 align:middle line:84%
plus S double prime divided by
2, or 2 factorial, whatever--

00:26:09.650 --> 00:26:10.820 align:middle line:90%
it's the same--

00:26:10.820 --> 00:26:16.310 align:middle line:84%
times E1 minus E0 squared
plus dot, dot, dot.

00:26:16.310 --> 00:26:17.990 align:middle line:90%
And the series continues.

00:26:17.990 --> 00:26:20.660 align:middle line:90%


00:26:20.660 --> 00:26:26.750 align:middle line:84%
And of course, in the limit,
as E1 minus E0 is small,

00:26:26.750 --> 00:26:29.570 align:middle line:84%
the dominant terms
are the first ones

00:26:29.570 --> 00:26:31.540 align:middle line:90%
that you find in the expansion.

00:26:31.540 --> 00:26:33.880 align:middle line:84%
So that's what we
are doing here,

00:26:33.880 --> 00:26:38.770 align:middle line:84%
with the notion that
this S prime is what we

00:26:38.770 --> 00:26:40.430 align:middle line:90%
call the inverse temperature.

00:26:40.430 --> 00:26:42.960 align:middle line:90%


00:26:42.960 --> 00:26:44.670 align:middle line:84%
And when you do
this, also, in terms

00:26:44.670 --> 00:26:48.150 align:middle line:84%
of the second variable,
which is the volume,

00:26:48.150 --> 00:26:52.940 align:middle line:84%
that's what we call the
pressure over temperature.

00:26:52.940 --> 00:27:01.080 align:middle line:84%
So here is that
expansion for system A.

00:27:01.080 --> 00:27:08.670 align:middle line:84%
The second derivatives,
let me write them as d2

00:27:08.670 --> 00:27:11.430 align:middle line:84%
because it contains
several terms.

00:27:11.430 --> 00:27:16.340 align:middle line:84%
Since I'm doing that in
terms of two variables,

00:27:16.340 --> 00:27:19.620 align:middle line:84%
subsequent slide will
have the details.

00:27:19.620 --> 00:27:23.270 align:middle line:84%
And we'll do the
same for system B.

00:27:23.270 --> 00:27:26.180 align:middle line:90%
Then we use the fact--

00:27:26.180 --> 00:27:28.500 align:middle line:90%
well, then we combine terms.

00:27:28.500 --> 00:27:34.550 align:middle line:84%
And here is what we get, 1
over T minus 1 over T for A

00:27:34.550 --> 00:27:40.058 align:middle line:84%
and B times dE, P over T
minus P over T, A and B,

00:27:40.058 --> 00:27:45.540 align:middle line:84%
dV, plus the second
differentials of S plus dot,

00:27:45.540 --> 00:27:46.040 align:middle line:90%
dot, dots.

00:27:46.040 --> 00:27:51.150 align:middle line:90%


00:27:51.150 --> 00:27:52.720 align:middle line:90%
So what can we infer?

00:27:52.720 --> 00:27:58.280 align:middle line:84%
And this must be a
negative, strictly negative.

00:27:58.280 --> 00:28:03.110 align:middle line:84%
Of course, notice and remember,
that when you do a series

00:28:03.110 --> 00:28:08.060 align:middle line:84%
expansion, the terms
here, like this one,

00:28:08.060 --> 00:28:11.220 align:middle line:84%
are evaluated at
the initial state.

00:28:11.220 --> 00:28:17.450 align:middle line:84%
So they do not depend on
how much you move around.

00:28:17.450 --> 00:28:23.200 align:middle line:84%
So these terms in parentheses,
and that term in parentheses,

00:28:23.200 --> 00:28:29.430 align:middle line:84%
is fixed by the
initial state, state 0.

00:28:29.430 --> 00:28:34.630 align:middle line:84%
It's independent of how you
move around to another state.

00:28:34.630 --> 00:28:36.817 align:middle line:84%
So it's independent
of dE and dV.

00:28:36.817 --> 00:28:40.610 align:middle line:90%


00:28:40.610 --> 00:28:45.160 align:middle line:84%
On the other hand,
you see here, I

00:28:45.160 --> 00:28:51.030 align:middle line:84%
could have chosen another
state of A with higher energy,

00:28:51.030 --> 00:28:52.740 align:middle line:90%
but also, one with lower energy.

00:28:52.740 --> 00:28:56.750 align:middle line:84%
So I could have chosen dE
to be positive or negative,

00:28:56.750 --> 00:29:01.040 align:middle line:84%
large or small, positive or
negative, whatever, as long,

00:29:01.040 --> 00:29:06.450 align:middle line:84%
of course, B gets the
opposite, equal and opposite.

00:29:06.450 --> 00:29:12.760 align:middle line:84%
So that means that
dE and dV can be

00:29:12.760 --> 00:29:17.530 align:middle line:84%
chosen arbitrarily,
positive or negative.

00:29:17.530 --> 00:29:20.890 align:middle line:84%
And if these terms
in parentheses

00:29:20.890 --> 00:29:25.760 align:middle line:84%
were different than 0,
suppose they were positive,

00:29:25.760 --> 00:29:27.950 align:middle line:84%
then I could choose
a positive dE,

00:29:27.950 --> 00:29:32.880 align:middle line:84%
and this would be a
dominating term in the series,

00:29:32.880 --> 00:29:37.750 align:middle line:84%
violating the fact that
that sum must be negative.

00:29:37.750 --> 00:29:40.890 align:middle line:84%
So the only possibility,
due to the arbitrariness

00:29:40.890 --> 00:29:45.360 align:middle line:84%
of the choice of dV and dE is
that these terms in parentheses

00:29:45.360 --> 00:29:46.360 align:middle line:90%
be equal to 0.

00:29:46.360 --> 00:29:48.920 align:middle line:90%


00:29:48.920 --> 00:29:53.750 align:middle line:84%
And of course, then the burden
to keep the inequality satisfied

00:29:53.750 --> 00:29:56.990 align:middle line:84%
is going to be shifted
to the second order terms

00:29:56.990 --> 00:30:02.320 align:middle line:84%
in the expansion, which
are going to be negative.

00:30:02.320 --> 00:30:05.570 align:middle line:84%
So, essentially,
what we proved here

00:30:05.570 --> 00:30:08.540 align:middle line:84%
is that in order
for that system here

00:30:08.540 --> 00:30:12.320 align:middle line:84%
to be in a stable
equilibrium state,

00:30:12.320 --> 00:30:16.710 align:middle line:84%
the two temperatures
must be equal

00:30:16.710 --> 00:30:18.680 align:middle line:84%
and also, the two
pressures must be equal.

00:30:18.680 --> 00:30:25.030 align:middle line:90%


00:30:25.030 --> 00:30:28.270 align:middle line:84%
So above here is
the same as before.

00:30:28.270 --> 00:30:32.890 align:middle line:84%
I simply wrote more
explicitly the expression

00:30:32.890 --> 00:30:38.580 align:middle line:84%
for the second
order differential,

00:30:38.580 --> 00:30:42.390 align:middle line:90%
which must be non-positive.

00:30:42.390 --> 00:30:47.610 align:middle line:90%
So it's either 0 or negative.

00:30:47.610 --> 00:30:50.700 align:middle line:84%
If it is 0, it's the third
order terms and fourth

00:30:50.700 --> 00:30:58.710 align:middle line:84%
and go on, that must
obey, must take up

00:30:58.710 --> 00:31:00.520 align:middle line:90%
and satisfy this inequality.

00:31:00.520 --> 00:31:05.830 align:middle line:84%
For example, see, if
I have a reservoir,

00:31:05.830 --> 00:31:09.830 align:middle line:84%
the second derivative
is equal to 0

00:31:09.830 --> 00:31:11.390 align:middle line:90%
of the fundamental relation.

00:31:11.390 --> 00:31:20.290 align:middle line:84%
So for this reservoir, I need
that somewhere along the line,

00:31:20.290 --> 00:31:24.550 align:middle line:84%
there is a derivative
which is negative.

00:31:24.550 --> 00:31:32.340 align:middle line:84%
And since a straight
line isn't like that,

00:31:32.340 --> 00:31:36.000 align:middle line:84%
it means that this
straight line in practice

00:31:36.000 --> 00:31:37.960 align:middle line:90%
is really an approximation.

00:31:37.960 --> 00:31:43.230 align:middle line:84%
So in other words, a real
reservoir with a true straight

00:31:43.230 --> 00:31:47.250 align:middle line:84%
line as a stable equilibrium
straight curve cannot exist.

00:31:47.250 --> 00:31:48.690 align:middle line:90%
It would violate this.

00:31:48.690 --> 00:31:54.720 align:middle line:84%
So the reservoir is an
approximation, extremely good

00:31:54.720 --> 00:31:59.640 align:middle line:84%
approximation if you make it
like water at the triple point,

00:31:59.640 --> 00:32:01.540 align:middle line:90%
with sufficient amount of water.

00:32:01.540 --> 00:32:07.050 align:middle line:84%
But if you go to small,
very small amounts,

00:32:07.050 --> 00:32:12.940 align:middle line:84%
then you may have difficulties
constructing a real reservoir.

00:32:12.940 --> 00:32:19.324 align:middle line:90%


00:32:19.324 --> 00:32:22.720 align:middle line:84%
So we proved equality of
temperature and equality

00:32:22.720 --> 00:32:26.950 align:middle line:84%
of pressure, and
we proved, also,

00:32:26.950 --> 00:32:29.050 align:middle line:84%
the sign of the
second derivatives

00:32:29.050 --> 00:32:33.100 align:middle line:90%
of the fundamental relation.

00:32:33.100 --> 00:32:38.320 align:middle line:84%
The reason why I have drawn
the E versus S diagram this way

00:32:38.320 --> 00:32:43.420 align:middle line:84%
and not the other way, so
with the concavity upward,

00:32:43.420 --> 00:32:46.092 align:middle line:90%
is now proved here.

00:32:46.092 --> 00:32:48.130 align:middle line:84%
The second derivative
of S with respect to E

00:32:48.130 --> 00:32:54.600 align:middle line:90%
is negative or 0, negative or 0.

00:32:54.600 --> 00:32:57.580 align:middle line:90%
The same, you can prove.

00:32:57.580 --> 00:32:59.770 align:middle line:84%
Since this form,
differential form,

00:32:59.770 --> 00:33:06.010 align:middle line:84%
must be negative for
all possible values,

00:33:06.010 --> 00:33:12.250 align:middle line:84%
you need that it's
a quadratic form,

00:33:12.250 --> 00:33:14.830 align:middle line:84%
and you need that the
coefficient, the matrix

00:33:14.830 --> 00:33:17.170 align:middle line:90%
of coefficients, be positive--

00:33:17.170 --> 00:33:19.750 align:middle line:90%
I mean negative definite--

00:33:19.750 --> 00:33:23.150 align:middle line:84%
or actually, non-positive
definite, meaning that,

00:33:23.150 --> 00:33:26.240 align:middle line:84%
for example, not only the
terms on the diagonal,

00:33:26.240 --> 00:33:30.310 align:middle line:84%
which are these two, but
also, the determinant must be

00:33:30.310 --> 00:33:31.390 align:middle line:90%
non-negative--

00:33:31.390 --> 00:33:38.270 align:middle line:84%
I mean non-positive, which gives
us, also, this expression here.

00:33:38.270 --> 00:33:39.320 align:middle line:90%
OK.

00:33:39.320 --> 00:33:47.450 align:middle line:84%
Now, we can do, also, but more
quickly the proof for when,

00:33:47.450 --> 00:33:56.150 align:middle line:84%
instead of putting
the movable piston--

00:33:56.150 --> 00:34:00.110 align:middle line:90%
I must change this drawing.

00:34:00.110 --> 00:34:08.030 align:middle line:84%
So this should be replaced with
a porous material, non-movable.

00:34:08.030 --> 00:34:12.380 align:middle line:84%
So this is going to be
a porous material that

00:34:12.380 --> 00:34:18.050 align:middle line:84%
would allow the transfer
of constituent i,

00:34:18.050 --> 00:34:22.409 align:middle line:84%
so of molecules or atoms
of type i, only one type.

00:34:22.409 --> 00:34:27.969 align:middle line:90%


00:34:27.969 --> 00:34:32.770 align:middle line:84%
So they are in mutual
equilibrium in state 0.

00:34:32.770 --> 00:34:38.110 align:middle line:84%
And we construct another
state with the same energy

00:34:38.110 --> 00:34:46.929 align:middle line:84%
by shifting some energy from
A to B and also, some amounts.

00:34:46.929 --> 00:34:52.500 align:middle line:84%
So I take A with some more
particles of that type

00:34:52.500 --> 00:34:55.170 align:middle line:90%
and B with less particles.

00:34:55.170 --> 00:34:59.920 align:middle line:84%
So it's like moving
them from B to A.

00:34:59.920 --> 00:35:03.400 align:middle line:84%
Well, exactly the
same procedure,

00:35:03.400 --> 00:35:08.560 align:middle line:84%
I'm going to exploit the
fact that the entropy of S1

00:35:08.560 --> 00:35:11.770 align:middle line:90%
must be less than that of S0.

00:35:11.770 --> 00:35:16.430 align:middle line:84%
Only that when I do the series
expansion for the energy,

00:35:16.430 --> 00:35:17.890 align:middle line:90%
it's still the same.

00:35:17.890 --> 00:35:22.100 align:middle line:84%
But now I'm not I'm not
changing the volume.

00:35:22.100 --> 00:35:24.460 align:middle line:90%
I'm changing the amount.

00:35:24.460 --> 00:35:29.350 align:middle line:84%
So instead of P over T,
the partial derivative

00:35:29.350 --> 00:35:32.920 align:middle line:84%
with respect to amounts is
minus the chemical potential

00:35:32.920 --> 00:35:40.480 align:middle line:90%
over T. Combine in the same way.

00:35:40.480 --> 00:35:45.180 align:middle line:84%
And this term by
the arbitrariness

00:35:45.180 --> 00:35:52.680 align:middle line:84%
of our choice of state
C1, so the amounts dni,

00:35:52.680 --> 00:35:57.310 align:middle line:84%
the difference are
arbitrary, like the energy.

00:35:57.310 --> 00:35:59.370 align:middle line:84%
And therefore, we find
the same conclusion,

00:35:59.370 --> 00:36:01.460 align:middle line:84%
that these
coefficients must be 0.

00:36:01.460 --> 00:36:05.290 align:middle line:90%


00:36:05.290 --> 00:36:13.470 align:middle line:84%
And of course, also, that
second order differential

00:36:13.470 --> 00:36:15.900 align:middle line:90%
must be non-positive.

00:36:15.900 --> 00:36:19.590 align:middle line:84%
We prove, therefore, that we
need equality of temperature

00:36:19.590 --> 00:36:22.680 align:middle line:84%
and equality of the
chemical potentials

00:36:22.680 --> 00:36:28.220 align:middle line:84%
of that constituent in the two
systems for mutual equilibrium.

00:36:28.220 --> 00:36:32.700 align:middle line:84%
And we prove some
other convexity

00:36:32.700 --> 00:36:34.666 align:middle line:90%
or concavity relations.

00:36:34.666 --> 00:36:38.160 align:middle line:90%


00:36:38.160 --> 00:36:43.660 align:middle line:84%
In fact, if you do it
for several variables,

00:36:43.660 --> 00:36:51.910 align:middle line:84%
you end up with the fact that
all these second derivatives

00:36:51.910 --> 00:36:53.085 align:middle line:90%
must be 0.

00:36:53.085 --> 00:36:55.770 align:middle line:90%


00:36:55.770 --> 00:36:59.760 align:middle line:84%
But more than that,
this matrix, which

00:36:59.760 --> 00:37:07.230 align:middle line:84%
is the S matrix of partial,
all the possible second order

00:37:07.230 --> 00:37:13.570 align:middle line:84%
partial derivatives, must be
negative definite or negative

00:37:13.570 --> 00:37:14.760 align:middle line:90%
semi-definite.

00:37:14.760 --> 00:37:17.860 align:middle line:90%


00:37:17.860 --> 00:37:22.065 align:middle line:84%
And therefore, you
can apply all that you

00:37:22.065 --> 00:37:25.350 align:middle line:84%
know about positive
definite matrices,

00:37:25.350 --> 00:37:30.660 align:middle line:84%
and so on, and obtain a
number of inequalities.

00:37:30.660 --> 00:37:32.180 align:middle line:84%
For example, from
some of these--

00:37:32.180 --> 00:37:34.710 align:middle line:90%


00:37:34.710 --> 00:37:37.830 align:middle line:84%
one of these inequalities
that is well-known

00:37:37.830 --> 00:37:41.640 align:middle line:84%
is that the specific
heat of a substance,

00:37:41.640 --> 00:37:43.860 align:middle line:84%
which is related to the
second derivative of S

00:37:43.860 --> 00:37:47.768 align:middle line:84%
with respect to E,
must be positive.

00:37:47.768 --> 00:37:51.360 align:middle line:90%


00:37:51.360 --> 00:37:56.240 align:middle line:84%
But as you see here,
that's only one result.

00:37:56.240 --> 00:37:58.665 align:middle line:90%
You could obtain several.

00:37:58.665 --> 00:38:04.750 align:middle line:90%


00:38:04.750 --> 00:38:10.860 align:middle line:84%
Now, by the same technique
to prove the inequalities,

00:38:10.860 --> 00:38:15.460 align:middle line:84%
we can also prove another
interesting relation,

00:38:15.460 --> 00:38:19.500 align:middle line:84%
which is known as the
Young-Laplace equation

00:38:19.500 --> 00:38:21.540 align:middle line:90%
for surface tension.

00:38:21.540 --> 00:38:27.610 align:middle line:84%
So let me do this
because it's also

00:38:27.610 --> 00:38:33.970 align:middle line:84%
useful for those of you
who are in fluid mechanics

00:38:33.970 --> 00:38:36.030 align:middle line:90%
or mechanics of interfaces.

00:38:36.030 --> 00:38:49.050 align:middle line:84%
For example, take the system
which contains a drop--

00:38:49.050 --> 00:38:51.660 align:middle line:90%
so D stands for drops, say--

00:38:51.660 --> 00:39:02.875 align:middle line:84%
of one phase immersed or
surrounded by another phase.

00:39:02.875 --> 00:39:05.630 align:middle line:90%


00:39:05.630 --> 00:39:07.830 align:middle line:84%
And there are many
examples here.

00:39:07.830 --> 00:39:09.360 align:middle line:90%
I just put three of them.

00:39:09.360 --> 00:39:12.380 align:middle line:90%


00:39:12.380 --> 00:39:14.110 align:middle line:90%
Let's start with the last one.

00:39:14.110 --> 00:39:18.550 align:middle line:84%
It could be liquid and
vapor, so a drop of liquid,

00:39:18.550 --> 00:39:21.450 align:middle line:84%
and outside, you've got
vapor, like water vapor

00:39:21.450 --> 00:39:23.470 align:middle line:90%
or a vapor of any substance.

00:39:23.470 --> 00:39:27.045 align:middle line:90%


00:39:27.045 --> 00:39:35.600 align:middle line:84%
Or you could have air on the
outside, which is partially

00:39:35.600 --> 00:39:36.860 align:middle line:90%
dissolved.

00:39:36.860 --> 00:39:41.120 align:middle line:84%
Here is a drop of water in which
there is some air dissolved.

00:39:41.120 --> 00:39:46.130 align:middle line:84%
Or if it's not air, like
CO2 or some other substance.

00:39:46.130 --> 00:39:48.890 align:middle line:84%
Or you could have two
liquids, like oil and water,

00:39:48.890 --> 00:39:50.840 align:middle line:90%
that are not miscible.

00:39:50.840 --> 00:39:58.670 align:middle line:84%
So in the bulk of each one, you
don't find any of the other.

00:39:58.670 --> 00:40:03.710 align:middle line:84%
But in the interfacial
region, they

00:40:03.710 --> 00:40:09.656 align:middle line:84%
must live together, these
different molecules.

00:40:09.656 --> 00:40:12.380 align:middle line:90%


00:40:12.380 --> 00:40:16.040 align:middle line:84%
So in this region,
the properties

00:40:16.040 --> 00:40:19.400 align:middle line:84%
of this layer, which
is generally very

00:40:19.400 --> 00:40:27.530 align:middle line:84%
thin, and therefore, these
properties of the substance

00:40:27.530 --> 00:40:33.740 align:middle line:84%
feel the different forces,
intermolecular forces,

00:40:33.740 --> 00:40:35.850 align:middle line:90%
than any of the two bulks.

00:40:35.850 --> 00:40:37.850 align:middle line:84%
Because here, you
have just forces

00:40:37.850 --> 00:40:41.700 align:middle line:90%
between the same gray molecules.

00:40:41.700 --> 00:40:46.160 align:middle line:84%
Here, you have just
intermolecular forces

00:40:46.160 --> 00:40:48.210 align:middle line:90%
of the dark molecules.

00:40:48.210 --> 00:40:52.350 align:middle line:84%
And here, you have
some and some.

00:40:52.350 --> 00:40:54.245 align:middle line:84%
So they are really
different systems.

00:40:54.245 --> 00:40:58.460 align:middle line:90%


00:40:58.460 --> 00:41:01.190 align:middle line:84%
And the fact that
the interface is--

00:41:01.190 --> 00:41:04.400 align:middle line:84%
or interfacial region
is generally very, very

00:41:04.400 --> 00:41:07.590 align:middle line:90%
thin, allows you to model it.

00:41:07.590 --> 00:41:11.800 align:middle line:84%
You can model it, of
course, in a continuous way.

00:41:11.800 --> 00:41:15.190 align:middle line:84%
But here, we're going
to do it like when you

00:41:15.190 --> 00:41:17.650 align:middle line:90%
do a Young-Laplace equation.

00:41:17.650 --> 00:41:20.900 align:middle line:84%
You model it in a
much simpler way,

00:41:20.900 --> 00:41:32.440 align:middle line:84%
as if it was just another very
thin system, which can exchange

00:41:32.440 --> 00:41:37.260 align:middle line:90%
molecules on both sides.

00:41:37.260 --> 00:41:42.140 align:middle line:84%
But on the right, it can
exchange only dark molecule,

00:41:42.140 --> 00:41:45.650 align:middle line:84%
on the left, only
gray molecules.

00:41:45.650 --> 00:41:50.360 align:middle line:84%
Whereas, a situation in which
you have coexistence of the two

00:41:50.360 --> 00:41:58.400 align:middle line:84%
can only move along the
surface in a 2D geometry.

00:41:58.400 --> 00:42:04.680 align:middle line:84%
So it's only by moving
along this circle here,

00:42:04.680 --> 00:42:09.380 align:middle line:84%
if it is a spherical
geometry, that you can

00:42:09.380 --> 00:42:14.106 align:middle line:90%
find this coexisting situation.

00:42:14.106 --> 00:42:17.980 align:middle line:90%


00:42:17.980 --> 00:42:21.400 align:middle line:84%
And it's the same
kind of idea when

00:42:21.400 --> 00:42:26.950 align:middle line:84%
you have phase separation,
when the system in order

00:42:26.950 --> 00:42:38.710 align:middle line:84%
to reach a stable equilibrium,
doesn't find the maximum entropy

00:42:38.710 --> 00:42:42.710 align:middle line:84%
state by remaining
homogeneous, but it separates.

00:42:42.710 --> 00:42:47.860 align:middle line:84%
So molecules like to
bump to each other

00:42:47.860 --> 00:42:49.490 align:middle line:90%
and become a liquid on one side.

00:42:49.490 --> 00:42:51.490 align:middle line:84%
And on the other side,
you've got a water vapor.

00:42:51.490 --> 00:42:54.600 align:middle line:90%


00:42:54.600 --> 00:42:58.290 align:middle line:84%
The interface,
interfacial region,

00:42:58.290 --> 00:43:03.990 align:middle line:84%
is a very, very thin region
in which the density changes

00:43:03.990 --> 00:43:05.650 align:middle line:90%
drastically.

00:43:05.650 --> 00:43:09.030 align:middle line:84%
Now, the factor of 1,000 is
the density difference between

00:43:09.030 --> 00:43:13.860 align:middle line:84%
the liquid and the vapor,
like, for example, for water.

00:43:13.860 --> 00:43:20.150 align:middle line:84%
So the density drops
in a matter of few--

00:43:20.150 --> 00:43:23.760 align:middle line:90%


00:43:23.760 --> 00:43:24.490 align:middle line:90%
what is it?

00:43:24.490 --> 00:43:27.100 align:middle line:90%


00:43:27.100 --> 00:43:28.030 align:middle line:90%
Nanometers.

00:43:28.030 --> 00:43:31.750 align:middle line:90%


00:43:31.750 --> 00:43:37.060 align:middle line:90%
It drops by a factor of 1,000.

00:43:37.060 --> 00:43:49.180 align:middle line:84%
So if we have a system like
that, it's confined on a layer.

00:43:49.180 --> 00:43:53.440 align:middle line:84%
So its extension is not
measured in terms of thickness,

00:43:53.440 --> 00:43:57.820 align:middle line:84%
but it's only in terms
of the surface area

00:43:57.820 --> 00:44:02.070 align:middle line:90%
where it can develop.

00:44:02.070 --> 00:44:04.350 align:middle line:84%
So for that system,
the parameter

00:44:04.350 --> 00:44:12.120 align:middle line:84%
of the geometrical
container, or let's say,

00:44:12.120 --> 00:44:18.000 align:middle line:84%
mental container, where
those molecules are confined,

00:44:18.000 --> 00:44:23.690 align:middle line:84%
is not the volume, but
it's the surface area.

00:44:23.690 --> 00:44:25.680 align:middle line:84%
Or if you want, it
is still the volume,

00:44:25.680 --> 00:44:28.100 align:middle line:84%
but the volume can be
split in the surface

00:44:28.100 --> 00:44:30.100 align:middle line:90%
area and a very thin layer.

00:44:30.100 --> 00:44:34.200 align:middle line:90%


00:44:34.200 --> 00:44:39.350 align:middle line:84%
So area of the surface
becomes a parameter

00:44:39.350 --> 00:44:46.900 align:middle line:84%
for that system, which plays
a parallel role of that played

00:44:46.900 --> 00:44:51.740 align:middle line:90%
by volume for bulk systems.

00:44:51.740 --> 00:44:58.610 align:middle line:84%
And like we define the partial
derivative of fundamental

00:44:58.610 --> 00:45:02.780 align:middle line:84%
for the stable equilibrium
state with respect to volume,

00:45:02.780 --> 00:45:10.640 align:middle line:84%
we call it P over T, for
this particular system,

00:45:10.640 --> 00:45:12.720 align:middle line:84%
the derivative of S
with respect to A,

00:45:12.720 --> 00:45:17.850 align:middle line:90%
we call it minus sigma over T.

00:45:17.850 --> 00:45:22.110 align:middle line:84%
And if we invert
the function, we

00:45:22.110 --> 00:45:25.330 align:middle line:84%
see that you can see,
for the bulk system,

00:45:25.330 --> 00:45:27.000 align:middle line:84%
the pressure is
minus the derivative

00:45:27.000 --> 00:45:34.920 align:middle line:84%
of the energy with respect
to volume of the energy form

00:45:34.920 --> 00:45:37.020 align:middle line:90%
of the fundamental relation.

00:45:37.020 --> 00:45:43.110 align:middle line:84%
And for the interface
system, it's sigma--

00:45:43.110 --> 00:45:44.640 align:middle line:90%
we call it surface tension--

00:45:44.640 --> 00:45:46.980 align:middle line:84%
is the partial of the
energy with respect to A

00:45:46.980 --> 00:45:48.790 align:middle line:90%
without the minus sign.

00:45:48.790 --> 00:45:51.440 align:middle line:84%
That's why one is a pressure,
the other is a tension.

00:45:51.440 --> 00:45:54.120 align:middle line:90%


00:45:54.120 --> 00:45:57.940 align:middle line:84%
OK, so that is for
the definition.

00:45:57.940 --> 00:46:08.150 align:middle line:84%
So now we can play the
same role, the same trick,

00:46:08.150 --> 00:46:10.940 align:middle line:84%
of applying the maximum
entropy principle,

00:46:10.940 --> 00:46:14.150 align:middle line:84%
to see what happens at mutual
equilibrium between those three

00:46:14.150 --> 00:46:22.790 align:middle line:84%
phases, those three systems,
B, D, and the interface C.

00:46:22.790 --> 00:46:27.270 align:middle line:84%
And the trick is to
construct another state.

00:46:27.270 --> 00:46:28.490 align:middle line:90%
We call it F1.

00:46:28.490 --> 00:46:31.620 align:middle line:84%
Because now I'm
running out of letters.

00:46:31.620 --> 00:46:36.510 align:middle line:84%
So F is the composite
system of BCD.

00:46:36.510 --> 00:46:43.410 align:middle line:84%
So this overall system is F. I'm
not using letter A, because now.

00:46:43.410 --> 00:46:44.930 align:middle line:90%
A is the area.

00:46:44.930 --> 00:46:49.250 align:middle line:90%
So that's used up.

00:46:49.250 --> 00:46:53.850 align:middle line:84%
So we need to construct
another state.

00:46:53.850 --> 00:46:57.810 align:middle line:84%
And the way we do
it is by changing--

00:46:57.810 --> 00:47:00.930 align:middle line:90%
we do it in a particular way--

00:47:00.930 --> 00:47:09.670 align:middle line:84%
by changing the
shape, perturbing

00:47:09.670 --> 00:47:12.955 align:middle line:90%
the shape of the original drop.

00:47:12.955 --> 00:47:18.560 align:middle line:90%


00:47:18.560 --> 00:47:24.690 align:middle line:84%
And then we proceed
in the same way.

00:47:24.690 --> 00:47:30.340 align:middle line:84%
We want to prove that
this thing is negative--

00:47:30.340 --> 00:47:32.860 align:middle line:90%


00:47:32.860 --> 00:47:38.110 align:middle line:84%
yeah here is the minus,
the negative sign.

00:47:38.110 --> 00:47:39.800 align:middle line:90%
We apply additivity.

00:47:39.800 --> 00:47:40.995 align:middle line:90%
We now have three systems.

00:47:40.995 --> 00:47:45.590 align:middle line:90%


00:47:45.590 --> 00:47:53.040 align:middle line:84%
So the one, B and D, are
like we've done before.

00:47:53.040 --> 00:47:57.840 align:middle line:84%
But now we have, also, system
C, for which the Taylor series

00:47:57.840 --> 00:48:00.960 align:middle line:84%
expansion in the first
terms in the expansion

00:48:00.960 --> 00:48:06.340 align:middle line:90%
contain the surface tension.

00:48:06.340 --> 00:48:11.500 align:middle line:84%
Of course, it's the value,
like the pressure evaluated

00:48:11.500 --> 00:48:16.300 align:middle line:84%
at the stable
equilibrium state F0.

00:48:16.300 --> 00:48:20.595 align:middle line:84%
Here the dots
represent many things.

00:48:20.595 --> 00:48:21.970 align:middle line:84%
I should have
written also, but I

00:48:21.970 --> 00:48:25.690 align:middle line:84%
didn't have space enough on
the viewgraph, the derivative

00:48:25.690 --> 00:48:30.315 align:middle line:84%
with respect to the amounts
and the second-order terms.

00:48:30.315 --> 00:48:33.440 align:middle line:90%


00:48:33.440 --> 00:48:39.080 align:middle line:84%
But in order to focus on the
interesting part, new part,

00:48:39.080 --> 00:48:47.470 align:middle line:84%
let me choose a particular
situation in which--

00:48:47.470 --> 00:48:49.410 align:middle line:90%
this very particular value--

00:48:49.410 --> 00:49:00.130 align:middle line:84%
state F1, in which
I have already

00:49:00.130 --> 00:49:05.930 align:middle line:84%
satisfied the temperature
equality condition.

00:49:05.930 --> 00:49:12.550 align:middle line:84%
I already satisfied the
chemical potential equality.

00:49:12.550 --> 00:49:20.750 align:middle line:84%
And so all I am interested
in is changing the volume.

00:49:20.750 --> 00:49:23.660 align:middle line:84%
So that allows us
to, essentially,

00:49:23.660 --> 00:49:27.990 align:middle line:84%
concentrate on these three
terms, this one, that one,

00:49:27.990 --> 00:49:29.050 align:middle line:90%
and that one.

00:49:29.050 --> 00:49:32.390 align:middle line:90%


00:49:32.390 --> 00:49:34.230 align:middle line:90%
And by getting rid of--

00:49:34.230 --> 00:49:37.210 align:middle line:84%
yeah, there shouldn't be 1
over T here that disappeared.

00:49:37.210 --> 00:49:46.183 align:middle line:84%
I have to fix also
that on the viewgraph

00:49:46.183 --> 00:49:49.180 align:middle line:84%
because these temperatures
are assumed to be equal.

00:49:49.180 --> 00:49:52.540 align:middle line:90%
So I'm left with this equation.

00:49:52.540 --> 00:50:00.700 align:middle line:84%
And this equation has to be
negative, strictly negative.

00:50:00.700 --> 00:50:05.450 align:middle line:84%
But as we will find
out, is that, again,

00:50:05.450 --> 00:50:10.630 align:middle line:84%
because of the
arbitrariness of the choices

00:50:10.630 --> 00:50:19.010 align:middle line:84%
of the change in the
geometry, in the volume,

00:50:19.010 --> 00:50:22.640 align:middle line:84%
it will turn out
to have to be 0.

00:50:22.640 --> 00:50:25.130 align:middle line:84%
And so the burden
for the inequality

00:50:25.130 --> 00:50:31.225 align:middle line:84%
will be carried by the
extra additional terms.

00:50:31.225 --> 00:50:37.350 align:middle line:90%


00:50:37.350 --> 00:50:41.020 align:middle line:84%
So yes, again, also here, I
have to fix the viewgraph.

00:50:41.020 --> 00:50:43.805 align:middle line:84%
So this is just in order to
make room for something else.

00:50:43.805 --> 00:50:47.200 align:middle line:90%


00:50:47.200 --> 00:50:50.580 align:middle line:84%
So now there is an easy
way of proceeding here,

00:50:50.580 --> 00:50:52.630 align:middle line:90%
is assume a geometry.

00:50:52.630 --> 00:50:57.710 align:middle line:84%
If we assume a geometry,
just to see what comes out--

00:50:57.710 --> 00:51:05.690 align:middle line:84%
so we assume, for example,
spherical geometry of the drop,

00:51:05.690 --> 00:51:10.770 align:middle line:84%
and we assume that
we change the volume.

00:51:10.770 --> 00:51:16.430 align:middle line:84%
So we consider a perturbed state
with a volume slightly increased

00:51:16.430 --> 00:51:18.680 align:middle line:90%
by an amount.

00:51:18.680 --> 00:51:21.830 align:middle line:84%
If R was the radius
of the drop, it

00:51:21.830 --> 00:51:26.448 align:middle line:84%
becomes R plus dR or d
epsilon, epsilon to stress

00:51:26.448 --> 00:51:27.490 align:middle line:90%
the fact that it's small.

00:51:27.490 --> 00:51:30.290 align:middle line:90%


00:51:30.290 --> 00:51:31.850 align:middle line:90%
OK.

00:51:31.850 --> 00:51:37.280 align:middle line:84%
So the area of the interface
of the surface of the sphere

00:51:37.280 --> 00:51:38.485 align:middle line:90%
is 4 pi R squared.

00:51:38.485 --> 00:51:42.530 align:middle line:90%


00:51:42.530 --> 00:51:44.720 align:middle line:90%
The volume that is--

00:51:44.720 --> 00:51:49.360 align:middle line:90%


00:51:49.360 --> 00:51:52.570 align:middle line:84%
if I increase this sphere
from this solid line

00:51:52.570 --> 00:51:55.870 align:middle line:84%
to the dashed line,
the increase in volume

00:51:55.870 --> 00:52:04.100 align:middle line:84%
is equal to the surface
area times the shift in--

00:52:04.100 --> 00:52:06.040 align:middle line:90%
so times d epsilon.

00:52:06.040 --> 00:52:10.480 align:middle line:84%
So that's dV, and that's
what happens to what appears

00:52:10.480 --> 00:52:12.195 align:middle line:90%
in this part of the equation.

00:52:12.195 --> 00:52:14.980 align:middle line:90%


00:52:14.980 --> 00:52:19.190 align:middle line:84%
Also, since I am going
from small to large,

00:52:19.190 --> 00:52:21.990 align:middle line:90%
also the area changes.

00:52:21.990 --> 00:52:27.440 align:middle line:84%
Now, the area changes because
the radius has changed.

00:52:27.440 --> 00:52:35.738 align:middle line:84%
So I go from 4 pi R squared to
4 pi R plus d epsilon squared.

00:52:35.738 --> 00:52:39.950 align:middle line:90%


00:52:39.950 --> 00:52:44.230 align:middle line:84%
And if I forget about
the d epsilon square

00:52:44.230 --> 00:52:46.270 align:middle line:84%
because it's small
with respect to d

00:52:46.270 --> 00:52:51.570 align:middle line:84%
epsilon put into the
others, what I'm left is--

00:52:51.570 --> 00:52:54.090 align:middle line:84%
so one of these
cancels with that.

00:52:54.090 --> 00:52:57.005 align:middle line:90%
I'm left with 8 pi R d epsilon.

00:52:57.005 --> 00:53:00.130 align:middle line:90%


00:53:00.130 --> 00:53:05.940 align:middle line:84%
And this is the change
in area that I put here.

00:53:05.940 --> 00:53:11.280 align:middle line:84%
Still, the d epsilon
is arbitrary.

00:53:11.280 --> 00:53:15.210 align:middle line:84%
So that expression now
becomes this expression.

00:53:15.210 --> 00:53:18.750 align:middle line:90%
And it should be equal to 0--

00:53:18.750 --> 00:53:22.280 align:middle line:84%
I mean, negative, for arbitrary
values of the epsilon.

00:53:22.280 --> 00:53:24.030 align:middle line:84%
I could have chosen,
also, d epsilon

00:53:24.030 --> 00:53:27.870 align:middle line:84%
negative instead of
positive, and still that

00:53:27.870 --> 00:53:29.250 align:middle line:90%
should be satisfied.

00:53:29.250 --> 00:53:31.830 align:middle line:84%
So essentially, it's
just what multiplies

00:53:31.830 --> 00:53:35.510 align:middle line:90%
d epsilon that has to be 0.

00:53:35.510 --> 00:53:41.450 align:middle line:84%
So the 4 pi R cancels, and
you get this expression here.

00:53:41.450 --> 00:53:47.130 align:middle line:84%
There is a 2 that emerges
from the 8 divided by 4.

00:53:47.130 --> 00:53:50.670 align:middle line:84%
And so you find that the
condition for mutual equilibrium

00:53:50.670 --> 00:53:53.640 align:middle line:84%
between those three systems
is that the pressure

00:53:53.640 --> 00:54:02.900 align:middle line:84%
inside the drop must be greater
than the pressure of the outside

00:54:02.900 --> 00:54:10.060 align:middle line:84%
by the surface tension
multiplied by 2 over R.

00:54:10.060 --> 00:54:17.156 align:middle line:84%
Now, if you repeat that
for a cylindrical shape,

00:54:17.156 --> 00:54:19.430 align:middle line:90%
we just skip that.

00:54:19.430 --> 00:54:22.590 align:middle line:90%
But here are the details.

00:54:22.590 --> 00:54:28.970 align:middle line:84%
You get a similar expression,
only with 1 over R.

00:54:28.970 --> 00:54:37.150 align:middle line:84%
But a true story is that
we don't know this shape.

00:54:37.150 --> 00:54:41.970 align:middle line:84%
So we shouldn't, in
principle, assume that shape,

00:54:41.970 --> 00:54:49.770 align:middle line:84%
because in principle,
who tells us

00:54:49.770 --> 00:54:54.240 align:middle line:84%
that the shape should be
spherical or geometry or

00:54:54.240 --> 00:54:55.830 align:middle line:90%
cylindrical?

00:54:55.830 --> 00:55:02.650 align:middle line:84%
That is also a result of this
maximum entropy principle

00:55:02.650 --> 00:55:04.630 align:middle line:90%
and the Young-Laplace.

00:55:04.630 --> 00:55:08.610 align:middle line:90%


00:55:08.610 --> 00:55:12.450 align:middle line:84%
It's a bit complicated,
so it took me days

00:55:12.450 --> 00:55:16.330 align:middle line:90%
to construct these pictures.

00:55:16.330 --> 00:55:19.450 align:middle line:84%
So I'm not going to spend
too much time on them.

00:55:19.450 --> 00:55:22.980 align:middle line:84%
But simply, I
assume that you know

00:55:22.980 --> 00:55:26.100 align:middle line:84%
that if I have a
surface in space,

00:55:26.100 --> 00:55:31.030 align:middle line:84%
I can define principal
radii of curvature.

00:55:31.030 --> 00:55:38.110 align:middle line:84%
And like in a sphere
or in an ellipsoid,

00:55:38.110 --> 00:55:42.360 align:middle line:84%
you could have the
centers of curvature

00:55:42.360 --> 00:55:46.800 align:middle line:90%
on the same side of the surface.

00:55:46.800 --> 00:55:50.170 align:middle line:84%
But in a saddle point
of your surface,

00:55:50.170 --> 00:55:53.040 align:middle line:84%
you could have the
centers of curvature

00:55:53.040 --> 00:55:55.140 align:middle line:90%
on the two opposite sides.

00:55:55.140 --> 00:55:57.455 align:middle line:84%
So for example, suppose
this is the drop.

00:55:57.455 --> 00:56:00.520 align:middle line:90%


00:56:00.520 --> 00:56:03.700 align:middle line:84%
In this situation,
you have one center

00:56:03.700 --> 00:56:07.640 align:middle line:84%
of curvature inside the
drop and one outside.

00:56:07.640 --> 00:56:09.885 align:middle line:84%
Whereas here, they
are both inside.

00:56:09.885 --> 00:56:15.214 align:middle line:90%


00:56:15.214 --> 00:56:19.450 align:middle line:84%
But, you see, this
is a local picture.

00:56:19.450 --> 00:56:23.200 align:middle line:84%
If you have an arbitrary shape,
if you have a drop of arbitrary

00:56:23.200 --> 00:56:26.890 align:middle line:84%
shape, like, for
example, when you

00:56:26.890 --> 00:56:32.752 align:middle line:84%
have a drop of water
in gravity field,

00:56:32.752 --> 00:56:33.990 align:middle line:90%
you know this is the shape.

00:56:33.990 --> 00:56:37.670 align:middle line:90%


00:56:37.670 --> 00:56:45.860 align:middle line:84%
So the local curvature
and the surface

00:56:45.860 --> 00:56:48.470 align:middle line:84%
must be represented
somehow by running

00:56:48.470 --> 00:56:53.280 align:middle line:84%
over the entire surface with
local variables and integrating.

00:56:53.280 --> 00:56:55.770 align:middle line:84%
So in order to calculate
the entire area,

00:56:55.770 --> 00:57:03.000 align:middle line:84%
you have to do an integral
of these local areas.

00:57:03.000 --> 00:57:06.900 align:middle line:84%
So here is a lot of
expressions that I hope

00:57:06.900 --> 00:57:09.270 align:middle line:90%
are correct that allows you--

00:57:09.270 --> 00:57:14.820 align:middle line:84%
that describe these
geometrical situations,

00:57:14.820 --> 00:57:20.430 align:middle line:84%
one for the system when the
two centers are on the two

00:57:20.430 --> 00:57:24.090 align:middle line:84%
sides of the surface and one
for this, the case in which they

00:57:24.090 --> 00:57:27.400 align:middle line:90%
are both on the same side.

00:57:27.400 --> 00:57:32.510 align:middle line:84%
The difference,
you see, locally,

00:57:32.510 --> 00:57:35.330 align:middle line:84%
the purpose of this
formula here is

00:57:35.330 --> 00:57:43.780 align:middle line:84%
to compute the ratio of the area
change to the volume change.

00:57:43.780 --> 00:57:46.750 align:middle line:84%
As you shift to C,
remember that we were

00:57:46.750 --> 00:57:48.140 align:middle line:90%
talking about this situation.

00:57:48.140 --> 00:57:53.590 align:middle line:84%
We want to perturb
the shape of the drop

00:57:53.590 --> 00:57:58.960 align:middle line:90%
and go to another state.

00:57:58.960 --> 00:58:02.900 align:middle line:84%
And we want to compute
the volume and the area.

00:58:02.900 --> 00:58:06.220 align:middle line:84%
So what is important
is the ratio

00:58:06.220 --> 00:58:10.330 align:middle line:84%
of the area change
over the volume change.

00:58:10.330 --> 00:58:15.570 align:middle line:84%
And that's why here, we
compute it for locally.

00:58:15.570 --> 00:58:20.930 align:middle line:84%
So as I perturb,
move the surface,

00:58:20.930 --> 00:58:25.940 align:middle line:84%
that entails a change in
volume, delta V, and a change

00:58:25.940 --> 00:58:31.190 align:middle line:84%
in surface area, delta
A. And this ratio

00:58:31.190 --> 00:58:33.120 align:middle line:90%
is related to the inverse.

00:58:33.120 --> 00:58:38.780 align:middle line:84%
It's called the mean
local curvature.

00:58:38.780 --> 00:58:40.800 align:middle line:84%
It's the sum of
two contributions,

00:58:40.800 --> 00:58:42.290 align:middle line:90%
but it is an algebraic sum.

00:58:42.290 --> 00:58:44.540 align:middle line:90%
Because one of the--

00:58:44.540 --> 00:58:48.000 align:middle line:84%
when the radius is
on the other side,

00:58:48.000 --> 00:58:50.635 align:middle line:90%
it has a negative in front.

00:58:50.635 --> 00:58:53.286 align:middle line:90%


00:58:53.286 --> 00:58:55.620 align:middle line:84%
So if we go back
to our picture here

00:58:55.620 --> 00:59:03.570 align:middle line:84%
and try to compute these areas
and these change in volume,

00:59:03.570 --> 00:59:07.980 align:middle line:84%
we have to integrate somehow
over the entire surface.

00:59:07.980 --> 00:59:11.980 align:middle line:84%
That's why you need a double
integral over some variables.

00:59:11.980 --> 00:59:20.100 align:middle line:84%
So theta 1 and theta 2 maybe is
a way to describe local angles.

00:59:20.100 --> 00:59:23.670 align:middle line:90%


00:59:23.670 --> 00:59:31.290 align:middle line:84%
And then if you go on and do
all the math, you calculate,

00:59:31.290 --> 00:59:35.490 align:middle line:84%
again, the change in
area, it's, again, R plus

00:59:35.490 --> 00:59:41.070 align:middle line:84%
d epsilon and R. Now it's
plus or minus d epsilon

00:59:41.070 --> 00:59:46.470 align:middle line:84%
because when you move
the surface on one side,

00:59:46.470 --> 00:59:54.980 align:middle line:84%
in this case, one radius
of curvature increases,

00:59:54.980 --> 01:00:01.430 align:middle line:84%
and the other decreases
by the amount d epsilon.

01:00:01.430 --> 01:00:11.700 align:middle line:84%
And so in the end, you get a
double integral over the surface

01:00:11.700 --> 01:00:13.410 align:middle line:90%
coordinates.

01:00:13.410 --> 01:00:19.680 align:middle line:84%
And the d epsilon, now
you can choose arbitrarily

01:00:19.680 --> 01:00:24.540 align:middle line:84%
the d epsilon at every
location in the surface.

01:00:24.540 --> 01:00:25.970 align:middle line:90%
And that's arbitrary.

01:00:25.970 --> 01:00:31.550 align:middle line:84%
So that integral
must be equal to 0

01:00:31.550 --> 01:00:34.370 align:middle line:84%
for arbitrary choices
of how you want

01:00:34.370 --> 01:00:35.725 align:middle line:90%
to distribute the d epsilons.

01:00:35.725 --> 01:00:38.420 align:middle line:90%


01:00:38.420 --> 01:00:43.130 align:middle line:84%
Which says that, therefore,
it's the integrand that

01:00:43.130 --> 01:00:44.230 align:middle line:90%
must be equal to 0.

01:00:44.230 --> 01:00:48.260 align:middle line:90%


01:00:48.260 --> 01:00:53.185 align:middle line:84%
And so you find that you
can rewrite it this way.

01:00:53.185 --> 01:00:58.100 align:middle line:90%


01:00:58.100 --> 01:01:01.040 align:middle line:84%
And you find that
therefore, the sum

01:01:01.040 --> 01:01:05.750 align:middle line:84%
of the inverse of the
radii of curvature, so

01:01:05.750 --> 01:01:09.740 align:middle line:84%
the mean curvature,
which, in principle, could

01:01:09.740 --> 01:01:15.050 align:middle line:84%
be different locally
from point to point,

01:01:15.050 --> 01:01:18.650 align:middle line:84%
must be equal to this
ratio of difference

01:01:18.650 --> 01:01:23.980 align:middle line:84%
in pressure and the
surface tension.

01:01:23.980 --> 01:01:27.840 align:middle line:84%
Which is something
that doesn't depend

01:01:27.840 --> 01:01:29.200 align:middle line:90%
on location of the surface.

01:01:29.200 --> 01:01:33.560 align:middle line:90%


01:01:33.560 --> 01:01:41.930 align:middle line:84%
So this result means that
the average curvature

01:01:41.930 --> 01:01:45.800 align:middle line:84%
must be uniform, must be equal
everywhere on the surface

01:01:45.800 --> 01:01:54.580 align:middle line:84%
when you are in mutual
equilibrium, like in a sphere,

01:01:54.580 --> 01:01:57.010 align:middle line:90%
like in a cylindrical situation.

01:01:57.010 --> 01:02:02.080 align:middle line:84%
There are some other
interesting surfaces--

01:02:02.080 --> 01:02:08.320 align:middle line:84%
if you look up in the
Wikipedia, Surfaces

01:02:08.320 --> 01:02:13.420 align:middle line:84%
of constant mean
curvature, you find

01:02:13.420 --> 01:02:20.040 align:middle line:84%
that somebody has found a
very interesting shape where

01:02:20.040 --> 01:02:26.650 align:middle line:84%
it's more complicated than
a sphere, plus, of course--

01:02:26.650 --> 01:02:29.490 align:middle line:84%
so this is the main
result, the uniformity

01:02:29.490 --> 01:02:31.860 align:middle line:90%
of the mean curvature.

01:02:31.860 --> 01:02:36.420 align:middle line:84%
And this is the standard
Young-Laplace equation

01:02:36.420 --> 01:02:43.330 align:middle line:84%
for a surface with the two
different radii of curvature.

01:02:43.330 --> 01:02:52.890 align:middle line:90%


01:02:52.890 --> 01:02:59.640 align:middle line:84%
So now we are ready
for the next move.

01:02:59.640 --> 01:03:06.030 align:middle line:84%
We want to prove the Clausius
statement of the Second Law.

01:03:06.030 --> 01:03:08.700 align:middle line:84%
We want to capitalize
now on the fact

01:03:08.700 --> 01:03:20.005 align:middle line:84%
that systems can exchange
energy and entropy.

01:03:20.005 --> 01:03:26.290 align:middle line:90%


01:03:26.290 --> 01:03:29.030 align:middle line:84%
And we would like to consider
this particular situation,

01:03:29.030 --> 01:03:35.340 align:middle line:84%
two systems A and B, initially
in stable equilibrium states.

01:03:35.340 --> 01:03:39.030 align:middle line:90%


01:03:39.030 --> 01:03:41.160 align:middle line:84%
For simplicity, for
the moment, we just

01:03:41.160 --> 01:03:43.205 align:middle line:84%
consider fixed
volume, fixed amounts.

01:03:43.205 --> 01:03:48.100 align:middle line:90%


01:03:48.100 --> 01:03:52.485 align:middle line:84%
And we want to transfer some
energy from one to the other.

01:03:52.485 --> 01:03:55.480 align:middle line:90%


01:03:55.480 --> 01:03:58.770 align:middle line:84%
The question is, Is
it always possible,

01:03:58.770 --> 01:04:00.005 align:middle line:90%
or when is it possible?

01:04:00.005 --> 01:04:05.190 align:middle line:90%


01:04:05.190 --> 01:04:08.060 align:middle line:84%
Do I need to transfer,
also, some entropy

01:04:08.060 --> 01:04:11.250 align:middle line:90%
in order to make it possible?

01:04:11.250 --> 01:04:16.910 align:middle line:84%
So that's the question
answered by the Clausius--

01:04:16.910 --> 01:04:24.810 align:middle line:84%
the inequalities that
we will prove right now.

01:04:24.810 --> 01:04:28.990 align:middle line:84%
So, look, it's, again, the
same story as we started with.

01:04:28.990 --> 01:04:33.750 align:middle line:84%
If my system A starts in a
stable equilibrium state here,

01:04:33.750 --> 01:04:38.910 align:middle line:84%
and I want to extract the energy
so that I give it to system B,

01:04:38.910 --> 01:04:40.950 align:middle line:90%
I need to go down in energy.

01:04:40.950 --> 01:04:43.060 align:middle line:84%
But in order to
go down in energy,

01:04:43.060 --> 01:04:44.945 align:middle line:84%
I also need to go
down in entropy.

01:04:44.945 --> 01:04:50.070 align:middle line:90%


01:04:50.070 --> 01:04:56.920 align:middle line:84%
So already from the picture,
we see a geometrical proof.

01:04:56.920 --> 01:05:01.860 align:middle line:84%
We will have viewgraphs
that do that more in detail,

01:05:01.860 --> 01:05:03.730 align:middle line:90%
but also more complicated.

01:05:03.730 --> 01:05:07.030 align:middle line:90%


01:05:07.030 --> 01:05:10.550 align:middle line:84%
But first, let's do
it with equations.

01:05:10.550 --> 01:05:12.410 align:middle line:90%
So how do we model a system?

01:05:12.410 --> 01:05:14.740 align:middle line:84%
We make energy balances
and entropy balances.

01:05:14.740 --> 01:05:18.260 align:middle line:90%


01:05:18.260 --> 01:05:24.490 align:middle line:84%
And let's consider
a small change in--

01:05:24.490 --> 01:05:28.460 align:middle line:84%
a small amount of
energy transferred.

01:05:28.460 --> 01:05:31.930 align:middle line:84%
So if I make the energy
balance for system

01:05:31.930 --> 01:05:34.150 align:middle line:90%
A simply says that the rate--

01:05:34.150 --> 01:05:36.430 align:middle line:84%
I mean that the change
in the energy of A

01:05:36.430 --> 01:05:43.750 align:middle line:84%
is equal to minus the amount
that I gave to B, that I

01:05:43.750 --> 01:05:47.680 align:middle line:84%
extracted from A.
And for system B,

01:05:47.680 --> 01:05:53.610 align:middle line:84%
its energy change is equal to
the amount that it received.

01:05:53.610 --> 01:05:54.800 align:middle line:90%
Notice the arrows.

01:05:54.800 --> 01:05:57.740 align:middle line:90%


01:05:57.740 --> 01:06:04.360 align:middle line:84%
The arrows tell you, when
these symbols are positive,

01:06:04.360 --> 01:06:08.015 align:middle line:84%
it means that the flow has been
in the direction of the arrow.

01:06:08.015 --> 01:06:12.860 align:middle line:90%


01:06:12.860 --> 01:06:13.660 align:middle line:90%
Entropy balance.

01:06:13.660 --> 01:06:17.020 align:middle line:90%


01:06:17.020 --> 01:06:26.110 align:middle line:84%
The change in the entropy of
system A as it goes to the left

01:06:26.110 --> 01:06:28.310 align:middle line:90%
is equal to two contributions.

01:06:28.310 --> 01:06:34.530 align:middle line:84%
One is the entropy that has been
transferred out of system A,

01:06:34.530 --> 01:06:37.710 align:middle line:84%
and the other, if
any, is the entropy

01:06:37.710 --> 01:06:42.000 align:middle line:84%
that has been produced by
irreversibility within system A,

01:06:42.000 --> 01:06:45.720 align:middle line:90%
if the process is irreversible.

01:06:45.720 --> 01:06:48.690 align:middle line:84%
If you do it reversibly,
this one isn't there.

01:06:48.690 --> 01:06:53.580 align:middle line:84%
But if you do it irreversibly,
this one, this term,

01:06:53.580 --> 01:06:56.400 align:middle line:90%
must be greater than 0.

01:06:56.400 --> 01:06:58.990 align:middle line:84%
For system B, the
entropy balance

01:06:58.990 --> 01:07:03.420 align:middle line:84%
says that the change
in the entropy of B

01:07:03.420 --> 01:07:11.260 align:middle line:84%
is equal to the entropy that it
received from A plus, if any,

01:07:11.260 --> 01:07:18.650 align:middle line:84%
the entropy that was generated
within B by irreversibility.

01:07:18.650 --> 01:07:30.990 align:middle line:90%
Now, again-- this state A1--

01:07:30.990 --> 01:07:37.600 align:middle line:90%


01:07:37.600 --> 01:07:38.100 align:middle line:90%
Yeah.

01:07:38.100 --> 01:07:41.980 align:middle line:90%


01:07:41.980 --> 01:07:48.850 align:middle line:84%
And we extracted
this much energy.

01:07:48.850 --> 01:08:01.990 align:middle line:84%
I call it delta EA out
of A and goes into B.

01:08:01.990 --> 01:08:09.560 align:middle line:84%
I do not necessarily have to go
to the stable equilibrium state.

01:08:09.560 --> 01:08:18.380 align:middle line:84%
I could go to any of these
states, in principle.

01:08:18.380 --> 01:08:21.770 align:middle line:84%
Well, maybe I cannot
go all that far.

01:08:21.770 --> 01:08:23.600 align:middle line:90%
But that will depend.

01:08:23.600 --> 01:08:25.770 align:middle line:84%
Because if I want
to go this far,

01:08:25.770 --> 01:08:28.939 align:middle line:84%
I need a system
on the other side.

01:08:28.939 --> 01:08:32.029 align:middle line:84%
Since I reduce the
entropy, I need a system

01:08:32.029 --> 01:08:33.750 align:middle line:90%
that picks up that entropy.

01:08:33.750 --> 01:08:38.240 align:middle line:84%
So it has to have the
ability to do that.

01:08:38.240 --> 01:08:44.630 align:middle line:84%
So at a certain stage, we will
see that we cannot go too far

01:08:44.630 --> 01:08:46.850 align:middle line:90%
to the left.

01:08:46.850 --> 01:08:52.310 align:middle line:84%
But in any case, these
are the possible changes

01:08:52.310 --> 01:09:01.930 align:middle line:84%
of state of system
A. What I know

01:09:01.930 --> 01:09:07.330 align:middle line:84%
is that the stable equilibrium
state for the new value

01:09:07.330 --> 01:09:09.130 align:middle line:84%
of the energy is
the one that has

01:09:09.130 --> 01:09:13.810 align:middle line:84%
the highest entropy, so again,
maximum entropy principle.

01:09:13.810 --> 01:09:18.525 align:middle line:84%
So the entropy S2,
I'll define it.

01:09:18.525 --> 01:09:23.958 align:middle line:84%
The entropy of state A2,
suppose that's this one,

01:09:23.958 --> 01:09:28.529 align:middle line:84%
is less than the maximum
entropy corresponding

01:09:28.529 --> 01:09:30.180 align:middle line:84%
to that value of
the energy, which

01:09:30.180 --> 01:09:36.010 align:middle line:84%
is the entropy of the stable
equilibrium state corresponding

01:09:36.010 --> 01:09:42.149 align:middle line:90%
to the new value of the energy.

01:09:42.149 --> 01:09:50.600 align:middle line:84%
So here is the inequality, and
here the fundamental relation,

01:09:50.600 --> 01:09:57.500 align:middle line:84%
for which we can do, as usual,
a Taylor series expansion

01:09:57.500 --> 01:10:01.720 align:middle line:90%
around state 1.

01:10:01.720 --> 01:10:04.690 align:middle line:90%
It will have a linear term.

01:10:04.690 --> 01:10:11.380 align:middle line:84%
And let's keep, also, the second
order term, plus dots, dots.

01:10:11.380 --> 01:10:20.960 align:middle line:90%


01:10:20.960 --> 01:10:23.580 align:middle line:90%
So you see this expression.

01:10:23.580 --> 01:10:33.980 align:middle line:84%
It's S2, S1, but
S2 is S1 plus dS.

01:10:33.980 --> 01:10:38.150 align:middle line:84%
So we can take the S1 on
the left-hand side here.

01:10:38.150 --> 01:10:39.720 align:middle line:90%
It becomes dS.

01:10:39.720 --> 01:10:42.330 align:middle line:90%
And here is the rewriting.

01:10:42.330 --> 01:10:50.740 align:middle line:84%
So dS is equal to dE over T plus
the second derivative plus dots,

01:10:50.740 --> 01:10:52.530 align:middle line:90%
dots, dots.

01:10:52.530 --> 01:10:55.870 align:middle line:84%
What do we know about
the second derivatives?

01:10:55.870 --> 01:11:01.286 align:middle line:84%
Well, we just proved
that they are negative.

01:11:01.286 --> 01:11:08.230 align:middle line:84%
So if this is a negative number,
and this is a squared number,

01:11:08.230 --> 01:11:09.750 align:middle line:90%
this thing will subtract.

01:11:09.750 --> 01:11:12.280 align:middle line:90%


01:11:12.280 --> 01:11:20.490 align:middle line:84%
Therefore, this will be
less than just dE over T.

01:11:20.490 --> 01:11:23.370 align:middle line:90%
There is an exception, though.

01:11:23.370 --> 01:11:27.480 align:middle line:84%
If the system is a reservoir,
that second derivative

01:11:27.480 --> 01:11:28.340 align:middle line:90%
is equal to 0.

01:11:28.340 --> 01:11:33.540 align:middle line:90%


01:11:33.540 --> 01:11:39.180 align:middle line:84%
So here, we would have an
equal sign if A is a reservoir.

01:11:39.180 --> 01:11:48.860 align:middle line:84%
And the same identical
treatment goes for system B.

01:11:48.860 --> 01:11:51.653 align:middle line:84%
So now we can put
these all together.

01:11:51.653 --> 01:11:54.310 align:middle line:90%


01:11:54.310 --> 01:11:58.490 align:middle line:84%
Just to shuffle things
around, up to here,

01:11:58.490 --> 01:12:00.310 align:middle line:84%
it's the same that
we've seen so far.

01:12:00.310 --> 01:12:04.750 align:middle line:84%
Now let me combine
those equations.

01:12:04.750 --> 01:12:12.930 align:middle line:90%


01:12:12.930 --> 01:12:17.400 align:middle line:90%
We have 1, 2, 3, 4, 5, 6.

01:12:17.400 --> 01:12:20.640 align:middle line:84%
And we can eliminate
four variables

01:12:20.640 --> 01:12:24.250 align:middle line:90%
and remain two equations.

01:12:24.250 --> 01:12:28.520 align:middle line:90%


01:12:28.520 --> 01:12:30.300 align:middle line:90%
I'll let you do the algebra.

01:12:30.300 --> 01:12:36.140 align:middle line:90%
It's easy enough.

01:12:36.140 --> 01:12:39.350 align:middle line:84%
And since I want to concentrate
on the energy and entropy

01:12:39.350 --> 01:12:43.340 align:middle line:84%
transfers, so the delta
E and the delta S,

01:12:43.340 --> 01:12:45.370 align:middle line:84%
these are the
variables that I keep.

01:12:45.370 --> 01:12:48.370 align:middle line:84%
I eliminate the other
four, the changes.

01:12:48.370 --> 01:12:51.570 align:middle line:90%


01:12:51.570 --> 01:12:57.480 align:middle line:84%
So this is for system A, from
the balances from system A,

01:12:57.480 --> 01:13:02.100 align:middle line:90%
and this is from system B.

01:13:02.100 --> 01:13:07.510 align:middle line:84%
They both contain delta
S, so I can combine

01:13:07.510 --> 01:13:12.670 align:middle line:84%
these two in a single
train of inequalities,

01:13:12.670 --> 01:13:20.370 align:middle line:84%
where delta S, the entropy
exchanged, is at the center.

01:13:20.370 --> 01:13:26.670 align:middle line:84%
And it's less than
if I add entropy

01:13:26.670 --> 01:13:28.420 align:middle line:90%
produced by reversibility.

01:13:28.420 --> 01:13:32.820 align:middle line:84%
And this must be less than
delta, the energy over T1B.

01:13:32.820 --> 01:13:37.650 align:middle line:84%
And on the other
side, this is greater

01:13:37.650 --> 01:13:40.530 align:middle line:84%
than if I subtract
something positive,

01:13:40.530 --> 01:13:46.180 align:middle line:84%
and it is, in turn, greater
than the energy over T1A.

01:13:46.180 --> 01:13:49.270 align:middle line:90%


01:13:49.270 --> 01:13:58.540 align:middle line:84%
So this is interesting by
itself because it says--

01:13:58.540 --> 01:14:01.470 align:middle line:84%
all right, remember, we
started from our two systems

01:14:01.470 --> 01:14:07.440 align:middle line:84%
in two different stable
equilibrium states

01:14:07.440 --> 01:14:09.150 align:middle line:90%
with different temperatures.

01:14:09.150 --> 01:14:13.990 align:middle line:90%
So T1A and T1B are different.

01:14:13.990 --> 01:14:19.230 align:middle line:90%


01:14:19.230 --> 01:14:24.320 align:middle line:84%
And here, we find that
if we forget about--

01:14:24.320 --> 01:14:27.180 align:middle line:84%
if you look only at
the central and the two

01:14:27.180 --> 01:14:33.840 align:middle line:84%
extremes of these inequalities,
it says that definitely,

01:14:33.840 --> 01:14:36.815 align:middle line:90%
if you want to have a finite--

01:14:36.815 --> 01:14:40.700 align:middle line:84%
I mean, not a finite, but a
non-zero transfer of energy

01:14:40.700 --> 01:14:50.480 align:middle line:84%
from A to B, you need
an entropy change,

01:14:50.480 --> 01:14:55.620 align:middle line:84%
an entropy transfer,
with some value

01:14:55.620 --> 01:15:01.380 align:middle line:84%
that stays within this interval
of the energy transfer divided

01:15:01.380 --> 01:15:05.333 align:middle line:84%
by the two temperatures
of the two systems.

01:15:05.333 --> 01:15:15.650 align:middle line:90%


01:15:15.650 --> 01:15:17.350 align:middle line:90%
So let me do it.

01:15:17.350 --> 01:15:21.710 align:middle line:90%


01:15:21.710 --> 01:15:28.810 align:middle line:90%
So it says, What is it?

01:15:28.810 --> 01:15:32.970 align:middle line:84%
I could write that
inequality this way.

01:15:32.970 --> 01:15:39.930 align:middle line:90%


01:15:39.930 --> 01:15:43.710 align:middle line:84%
Take things on the
left-hand side.

01:15:43.710 --> 01:15:46.685 align:middle line:90%
And am I right if I do this?

01:15:46.685 --> 01:15:50.940 align:middle line:90%


01:15:50.940 --> 01:15:51.960 align:middle line:90%
Yeah.

01:15:51.960 --> 01:15:58.060 align:middle line:84%
I'm taking this all the
way to the other side.

01:15:58.060 --> 01:16:01.540 align:middle line:90%
So what does that tell me?

01:16:01.540 --> 01:16:08.940 align:middle line:84%
If I want delta EA
positive, in other words,

01:16:08.940 --> 01:16:11.300 align:middle line:84%
if I want to transfer
energy from A

01:16:11.300 --> 01:16:17.540 align:middle line:84%
to B, if this is positive,
that has to be negative.

01:16:17.540 --> 01:16:22.100 align:middle line:84%
If this has to be negative, it
means that the second term must

01:16:22.100 --> 01:16:24.010 align:middle line:90%
be bigger than the first one.

01:16:24.010 --> 01:16:26.990 align:middle line:90%


01:16:26.990 --> 01:16:31.640 align:middle line:84%
So that means that the
denominator must be smaller.

01:16:31.640 --> 01:16:39.990 align:middle line:84%
So that implies T1A
greater than T1B.

01:16:39.990 --> 01:16:41.480 align:middle line:90%
Is that what we expected?

01:16:41.480 --> 01:16:43.960 align:middle line:90%
Yeah.

01:16:43.960 --> 01:16:51.010 align:middle line:84%
We can transfer energies only
in the direction from the hot

01:16:51.010 --> 01:16:54.210 align:middle line:90%
to the cold.

01:16:54.210 --> 01:16:57.180 align:middle line:84%
That's Clausius's statement
of the Second Law.

01:16:57.180 --> 01:17:00.120 align:middle line:84%
Of course, if you
want this negative,

01:17:00.120 --> 01:17:02.680 align:middle line:84%
it can do it only in
the opposite situation.

01:17:02.680 --> 01:17:14.500 align:middle line:90%


01:17:14.500 --> 01:17:20.932 align:middle line:84%
So by looking at
the two end parts,

01:17:20.932 --> 01:17:23.870 align:middle line:84%
we proved the Clausius
statement of the Second Law,

01:17:23.870 --> 01:17:29.560 align:middle line:84%
that energy cannot
flow spontaneously.

01:17:29.560 --> 01:17:32.620 align:middle line:84%
And spontaneously
is, well, while there

01:17:32.620 --> 01:17:35.785 align:middle line:90%
are no other external effects.

01:17:35.785 --> 01:17:41.280 align:middle line:84%
You're considering a system in
which this composite A and B is

01:17:41.280 --> 01:17:43.790 align:middle line:90%
isolated.

01:17:43.790 --> 01:17:50.260 align:middle line:84%
So, it can only occur
from hot to cold,

01:17:50.260 --> 01:17:52.280 align:middle line:84%
from high temperature
to low temperature.

01:17:52.280 --> 01:17:56.920 align:middle line:90%


01:17:56.920 --> 01:18:07.220 align:middle line:84%
If the two systems initially
are at different temperatures,

01:18:07.220 --> 01:18:11.800 align:middle line:84%
It says that there must be
also an entropy transfer

01:18:11.800 --> 01:18:15.070 align:middle line:90%
between the two.

01:18:15.070 --> 01:18:20.860 align:middle line:84%
And this entropy transfer must
be contained between these two

01:18:20.860 --> 01:18:21.360 align:middle line:90%
extremes.

01:18:21.360 --> 01:18:24.080 align:middle line:90%


01:18:24.080 --> 01:18:28.950 align:middle line:84%
It doesn't have to have a
specific value as long as it

01:18:28.950 --> 01:18:30.080 align:middle line:90%
is within that interval.

01:18:30.080 --> 01:18:36.490 align:middle line:90%


01:18:36.490 --> 01:18:45.650 align:middle line:84%
And clearly, if the
temperatures are positive,

01:18:45.650 --> 01:18:51.230 align:middle line:84%
as they are for most systems,
that entropy transfer

01:18:51.230 --> 01:18:55.420 align:middle line:84%
occurs in the same direction
as the energy transfer.

01:18:55.420 --> 01:19:02.480 align:middle line:84%
So the sign of delta S, I
mean, if this is positive,

01:19:02.480 --> 01:19:03.740 align:middle line:90%
temperature is positive.

01:19:03.740 --> 01:19:06.850 align:middle line:84%
So this is a positive number,
and delta S must be greater

01:19:06.850 --> 01:19:08.000 align:middle line:90%
than a positive number.

01:19:08.000 --> 01:19:11.220 align:middle line:90%
So it's positive, too.

01:19:11.220 --> 01:19:15.810 align:middle line:84%
So I need, also, to transfer
entropy, which is also

01:19:15.810 --> 01:19:17.360 align:middle line:90%
the geometrical idea here.

01:19:17.360 --> 01:19:22.063 align:middle line:90%


01:19:22.063 --> 01:19:23.230 align:middle line:90%
AUDIENCE: I have a question.

01:19:23.230 --> 01:19:24.220 align:middle line:90%
PROFESSOR: Yeah?

01:19:24.220 --> 01:19:27.290 align:middle line:84%
AUDIENCE: Under the
inequalities, what do a 2A, 3A,

01:19:27.290 --> 01:19:30.310 align:middle line:90%
1A, 1B means at that?

01:19:30.310 --> 01:19:31.390 align:middle line:90%
PROFESSOR: Yes.

01:19:31.390 --> 01:19:33.110 align:middle line:90%
Yeah, let's discuss that.

01:19:33.110 --> 01:19:35.980 align:middle line:90%


01:19:35.980 --> 01:19:39.680 align:middle line:84%
This is just a way to
identify the inequalities.

01:19:39.680 --> 01:19:42.640 align:middle line:84%
Because I'm interested,
also, in, When

01:19:42.640 --> 01:19:47.870 align:middle line:84%
are the strict equalities valid
in these various situations?

01:19:47.870 --> 01:19:50.710 align:middle line:90%


01:19:50.710 --> 01:19:55.300 align:middle line:84%
And so I kept trace of
where they came from.

01:19:55.300 --> 01:19:58.900 align:middle line:90%
For example, 1A comes from here.

01:19:58.900 --> 01:20:04.290 align:middle line:84%
If system A undergoes
a reversible process,

01:20:04.290 --> 01:20:10.114 align:middle line:84%
so that there is no
entropy produced in A,

01:20:10.114 --> 01:20:15.245 align:middle line:90%
this becomes a strict equality.

01:20:15.245 --> 01:20:21.560 align:middle line:84%
And so here's 1A, so this
becomes a strict equality when

01:20:21.560 --> 01:20:27.840 align:middle line:84%
this is 0; that
also for system B.

01:20:27.840 --> 01:20:35.640 align:middle line:84%
Then we have 3A-- and
I'm sorry, 2A is here.

01:20:35.640 --> 01:20:39.570 align:middle line:84%
When is the strict
equality valid?

01:20:39.570 --> 01:20:45.990 align:middle line:84%
OK, remember, there is where we
did the Taylor series expansion.

01:20:45.990 --> 01:20:49.410 align:middle line:90%


01:20:49.410 --> 01:20:53.980 align:middle line:84%
So if we remain on the curve for
the stable equilibrium state,

01:20:53.980 --> 01:20:59.850 align:middle line:84%
so if state 2 of system
A is stable equilibrium,

01:20:59.850 --> 01:21:04.890 align:middle line:84%
we have strict equality because
we are in the maximum entropy

01:21:04.890 --> 01:21:06.420 align:middle line:90%
state here.

01:21:06.420 --> 01:21:11.850 align:middle line:84%
If you, instead, go
somewhere inside,

01:21:11.850 --> 01:21:15.960 align:middle line:84%
then you have an inequality,
a strict inequality.

01:21:15.960 --> 01:21:17.580 align:middle line:84%
So in other words,
that inequality

01:21:17.580 --> 01:21:20.200 align:middle line:84%
measures how distant you
are from equilibrium.

01:21:20.200 --> 01:21:23.560 align:middle line:90%


01:21:23.560 --> 01:21:29.470 align:middle line:84%
So that means that if system A
ends up in a stable equilibrium

01:21:29.470 --> 01:21:36.340 align:middle line:84%
state, you have the equality
here in 2A, idem for 2B.

01:21:36.340 --> 01:21:39.526 align:middle line:90%


01:21:39.526 --> 01:21:49.650 align:middle line:84%
3A and 3B are, when do
I have equality there?

01:21:49.650 --> 01:21:50.840 align:middle line:90%
We said it.

01:21:50.840 --> 01:21:53.120 align:middle line:90%
If we have a reservoir.

01:21:53.120 --> 01:21:57.470 align:middle line:84%
If we have a reservoir, the
second derivatives are 0.

01:21:57.470 --> 01:22:00.230 align:middle line:90%
And therefore, this is equal.

01:22:00.230 --> 01:22:11.000 align:middle line:84%
So in order for dSA to be
strictly equal to dEA over T1,

01:22:11.000 --> 01:22:16.470 align:middle line:84%
I need both these inequalities
to be strict equality.

01:22:16.470 --> 01:22:19.860 align:middle line:84%
So I need system A to end in
a stable equilibrium state

01:22:19.860 --> 01:22:30.620 align:middle line:84%
and system A to be a
reservoir, idem for B.

01:22:30.620 --> 01:22:37.210 align:middle line:84%
Now, it's clear, also, that
since these two extreme values

01:22:37.210 --> 01:22:43.380 align:middle line:84%
are different, if I started
from different temperatures,

01:22:43.380 --> 01:22:52.180 align:middle line:84%
it's impossible that all the
strict equalities apply at once.

01:22:52.180 --> 01:22:56.190 align:middle line:84%
Otherwise, I would have a
situation in which one number is

01:22:56.190 --> 01:22:57.470 align:middle line:90%
equal to a different number.

01:22:57.470 --> 01:23:03.040 align:middle line:90%


01:23:03.040 --> 01:23:09.040 align:middle line:84%
But for example, suppose
system A is a reservoir.

01:23:09.040 --> 01:23:13.190 align:middle line:84%
And suppose it does end in
a stable equilibrium state.

01:23:13.190 --> 01:23:15.740 align:middle line:84%
And suppose that there
is no entropy produced

01:23:15.740 --> 01:23:19.730 align:middle line:84%
by irreversibility
within A. That

01:23:19.730 --> 01:23:23.510 align:middle line:84%
is enough for this
strict equality to apply

01:23:23.510 --> 01:23:25.510 align:middle line:84%
and that strict
equality to apply.

01:23:25.510 --> 01:23:32.600 align:middle line:84%
So that means that the amount of
entropy that is extracted from A

01:23:32.600 --> 01:23:36.260 align:middle line:84%
is equal to the amount of
energy extracted divided

01:23:36.260 --> 01:23:43.140 align:middle line:90%
by the temperature of A.

01:23:43.140 --> 01:23:50.040 align:middle line:84%
And we are converging to the
idea of a heat interaction.

01:23:50.040 --> 01:23:53.040 align:middle line:84%
Because that will be
a heat interaction.

01:23:53.040 --> 01:23:58.590 align:middle line:84%
When the ratio of the energy
to the entropy exchange

01:23:58.590 --> 01:24:04.110 align:middle line:84%
is equal to the
temperature of the system

01:24:04.110 --> 01:24:07.030 align:middle line:90%
that gives the energy.

01:24:07.030 --> 01:24:12.340 align:middle line:90%


01:24:12.340 --> 01:24:19.000 align:middle line:84%
So if A is a reservoir and ends
up in an equilibrium state,

01:24:19.000 --> 01:24:24.600 align:middle line:84%
then either this
one or the other one

01:24:24.600 --> 01:24:27.190 align:middle line:90%
must not be strictly equal.

01:24:27.190 --> 01:24:28.510 align:middle line:90%
It cannot be strict equality.

01:24:28.510 --> 01:24:35.670 align:middle line:84%
So if system B, if you
insist that system B also

01:24:35.670 --> 01:24:38.440 align:middle line:84%
ends in a stable
equilibrium state,

01:24:38.440 --> 01:24:42.120 align:middle line:84%
and maybe it's also a
reservoir, so now we are having

01:24:42.120 --> 01:24:48.120 align:middle line:90%
two reservoirs, it means--

01:24:48.120 --> 01:24:49.830 align:middle line:90%
so this one is equal.

01:24:49.830 --> 01:24:53.190 align:middle line:84%
So it means that this
one cannot be equal.

01:24:53.190 --> 01:24:55.980 align:middle line:84%
And therefore, it
means that you need

01:24:55.980 --> 01:25:02.760 align:middle line:84%
to generate some entropy by
irreversibility in system B,

01:25:02.760 --> 01:25:15.105 align:middle line:90%
which we can picture this way.

01:25:15.105 --> 01:25:18.754 align:middle line:90%


01:25:18.754 --> 01:25:21.460 align:middle line:90%
Oh, no, sorry, reservoirs.

01:25:21.460 --> 01:25:24.690 align:middle line:90%


01:25:24.690 --> 01:25:38.950 align:middle line:84%
We'll do it here, system A,
system B. So just say A and B.

01:25:38.950 --> 01:25:43.110 align:middle line:84%
And you know what we mean,
energy versus entropy.

01:25:43.110 --> 01:25:52.750 align:middle line:84%
So if I extract
energy from A, it

01:25:52.750 --> 01:26:01.110 align:middle line:84%
ends up in a stable equilibrium
state and no entropy production

01:26:01.110 --> 01:26:05.020 align:middle line:90%
by irreversibility here.

01:26:05.020 --> 01:26:08.655 align:middle line:84%
Now, system B must
take that same energy.

01:26:08.655 --> 01:26:11.990 align:middle line:90%


01:26:11.990 --> 01:26:15.625 align:middle line:84%
So somehow, I should take
a segment of this match.

01:26:15.625 --> 01:26:19.360 align:middle line:90%


01:26:19.360 --> 01:26:26.540 align:middle line:84%
It receives an entropy,
which is equal to this.

01:26:26.540 --> 01:26:34.070 align:middle line:90%
So it goes here.

01:26:34.070 --> 01:26:37.210 align:middle line:84%
So the effect of the
interaction with A

01:26:37.210 --> 01:26:44.170 align:middle line:84%
is to transfer this much energy
and this much entropy to B. B

01:26:44.170 --> 01:26:47.290 align:middle line:84%
ends up in a
non-equilibrium state.

01:26:47.290 --> 01:26:51.220 align:middle line:84%
And if you wanted to go
to an equilibrium state,

01:26:51.220 --> 01:26:55.412 align:middle line:84%
it needs to generate this
entropy by irreversibility.

01:26:55.412 --> 01:27:06.280 align:middle line:90%


01:27:06.280 --> 01:27:10.130 align:middle line:84%
So this is a
complicated picture.

01:27:10.130 --> 01:27:15.490 align:middle line:84%
It's another couple of days
of playing with PowerPoint.

01:27:15.490 --> 01:27:29.660 align:middle line:84%
But it does provide a
geometrical explanation

01:27:29.660 --> 01:27:35.880 align:middle line:84%
of this train of
inequalities, essentially

01:27:35.880 --> 01:27:44.420 align:middle line:84%
showing that the entropy
change, or actually the entropy

01:27:44.420 --> 01:27:49.680 align:middle line:84%
transferred is between a
minimum and a maximum value that

01:27:49.680 --> 01:27:55.260 align:middle line:84%
is related to the
slopes, the local slopes

01:27:55.260 --> 01:28:02.890 align:middle line:84%
of the stable equilibrium states
of the two systems A and B.

01:28:02.890 --> 01:28:06.810 align:middle line:84%
And I think there is, also,
an even more complicated one.

01:28:06.810 --> 01:28:12.030 align:middle line:90%


01:28:12.030 --> 01:28:21.760 align:middle line:90%
You see, Clausius's statement.

01:28:21.760 --> 01:28:28.305 align:middle line:84%
We proved it for infinitesimal
amounts of energy transferred.

01:28:28.305 --> 01:28:31.190 align:middle line:90%


01:28:31.190 --> 01:28:34.130 align:middle line:84%
But what about you
want to extract

01:28:34.130 --> 01:28:35.965 align:middle line:90%
a finite amount of energy?

01:28:35.965 --> 01:28:41.150 align:middle line:90%


01:28:41.150 --> 01:28:54.430 align:middle line:84%
Well, finite amount of energy,
again, we can reason this way.

01:28:54.430 --> 01:28:58.660 align:middle line:84%
I'm starting from
system A in state A1,

01:28:58.660 --> 01:29:02.055 align:middle line:84%
and I want to extract
this much energy.

01:29:02.055 --> 01:29:05.180 align:middle line:90%


01:29:05.180 --> 01:29:09.395 align:middle line:84%
So as I said, it could go
in any of these states.

01:29:09.395 --> 01:29:12.140 align:middle line:90%


01:29:12.140 --> 01:29:14.905 align:middle line:90%
System B starts from here.

01:29:14.905 --> 01:29:18.990 align:middle line:90%


01:29:18.990 --> 01:29:20.510 align:middle line:90%
It receives that energy.

01:29:20.510 --> 01:29:23.890 align:middle line:90%


01:29:23.890 --> 01:29:27.255 align:middle line:84%
And in principle, it can
go in any of these states.

01:29:27.255 --> 01:29:32.330 align:middle line:90%


01:29:32.330 --> 01:29:36.200 align:middle line:84%
So that means that if you
give to B this much energy,

01:29:36.200 --> 01:29:41.850 align:middle line:84%
it is able to accommodate
only this much entropy.

01:29:41.850 --> 01:29:44.510 align:middle line:84%
It cannot go off to the right,
because there are no states

01:29:44.510 --> 01:29:45.010 align:middle line:90%
there.

01:29:45.010 --> 01:29:50.460 align:middle line:84%
So this is the maximum amount of
entropy that we can accommodate.

01:29:50.460 --> 01:29:56.550 align:middle line:84%
And therefore, that's the
maximum amount of entropy

01:29:56.550 --> 01:29:59.970 align:middle line:90%
that A can decrease.

01:29:59.970 --> 01:30:08.490 align:middle line:84%
So that means that somehow,
A can only go down to here.

01:30:08.490 --> 01:30:13.300 align:middle line:84%
And that is the meaning
of these constructions.

01:30:13.300 --> 01:30:17.970 align:middle line:84%
So there is a limited
range of possible values.

01:30:17.970 --> 01:30:24.270 align:middle line:84%
And here is the
analytic expression

01:30:24.270 --> 01:30:26.620 align:middle line:90%
for the Clausius inequality.

01:30:26.620 --> 01:30:31.450 align:middle line:84%
Let's call it Clausius
inequality for this.

01:30:31.450 --> 01:30:37.110 align:middle line:90%


01:30:37.110 --> 01:30:39.660 align:middle line:90%
OK.

01:30:39.660 --> 01:30:40.700 align:middle line:90%
We have five minutes.

01:30:40.700 --> 01:30:43.840 align:middle line:90%


01:30:43.840 --> 01:30:45.080 align:middle line:90%
I think it's enough.

01:30:45.080 --> 01:30:46.470 align:middle line:90%
Oops.

01:30:46.470 --> 01:30:48.820 align:middle line:90%
No, next, yeah, sorry.

01:30:48.820 --> 01:30:53.300 align:middle line:84%
I decided that I
couldn't get this far.

01:30:53.300 --> 01:30:55.180 align:middle line:84%
So I don't have
viewgraphs anymore.

01:30:55.180 --> 01:30:58.730 align:middle line:84%
So next time, we'll
do work and heat.

01:30:58.730 --> 01:31:02.470 align:middle line:90%
But let me anticipate the idea.

01:31:02.470 --> 01:31:09.980 align:middle line:84%
First of all, we define work
as an interaction in which

01:31:09.980 --> 01:31:12.355 align:middle line:90%
there is no entropy transfer.

01:31:12.355 --> 01:31:15.700 align:middle line:90%


01:31:15.700 --> 01:31:21.640 align:middle line:84%
See that we shifted the order
of typical presentation,

01:31:21.640 --> 01:31:22.700 align:middle line:90%
usually we define--

01:31:22.700 --> 01:31:27.910 align:middle line:90%


01:31:27.910 --> 01:31:29.895 align:middle line:84%
so here, we are using
entropy to define work.

01:31:29.895 --> 01:31:34.650 align:middle line:90%


01:31:34.650 --> 01:31:41.140 align:middle line:84%
And the other, anything
that transfers entropy

01:31:41.140 --> 01:31:43.040 align:middle line:90%
is a non-work interaction.

01:31:43.040 --> 01:31:45.570 align:middle line:90%


01:31:45.570 --> 01:31:52.120 align:middle line:84%
And if there is an
entropy transfer,

01:31:52.120 --> 01:31:55.800 align:middle line:84%
it's not necessarily
always heat.

01:31:55.800 --> 01:32:01.120 align:middle line:84%
We're going to call heat a very
special limiting situation.

01:32:01.120 --> 01:32:03.190 align:middle line:84%
Essentially, that
limiting situation

01:32:03.190 --> 01:32:07.990 align:middle line:84%
that is captured by this
train of inequalities

01:32:07.990 --> 01:32:16.190 align:middle line:84%
here, when you squeeze
the interval in which

01:32:16.190 --> 01:32:21.440 align:middle line:84%
the entropy transfer
values are confined,

01:32:21.440 --> 01:32:23.900 align:middle line:84%
and you squeeze
that interval, it

01:32:23.900 --> 01:32:27.848 align:middle line:84%
becomes just a
single possibility.

01:32:27.848 --> 01:32:29.390 align:middle line:84%
Now, how do you
squeeze that interval

01:32:29.390 --> 01:32:35.410 align:middle line:84%
is by having the two systems
begin at temperatures

01:32:35.410 --> 01:32:36.970 align:middle line:90%
close and close.

01:32:36.970 --> 01:32:39.880 align:middle line:84%
Or actually, in the limit in
which the two systems have

01:32:39.880 --> 01:32:46.430 align:middle line:84%
the same temperature,
the entropy transfer

01:32:46.430 --> 01:32:48.840 align:middle line:90%
has a precise value.

01:32:48.840 --> 01:32:50.730 align:middle line:84%
It doesn't have
any more a range,

01:32:50.730 --> 01:32:53.180 align:middle line:84%
just a precise
single value, which

01:32:53.180 --> 01:32:55.700 align:middle line:84%
is equal to the
energy transferred

01:32:55.700 --> 01:32:59.410 align:middle line:84%
divided by the temperature
of the two systems.

01:32:59.410 --> 01:33:01.220 align:middle line:90%
We call it heat.

01:33:01.220 --> 01:33:05.000 align:middle line:84%
And so energy, we
will call it Q,

01:33:05.000 --> 01:33:09.500 align:middle line:84%
so Q over T. So the
entropy transfer

01:33:09.500 --> 01:33:13.460 align:middle line:84%
will be the heat over
the temperature, which

01:33:13.460 --> 01:33:20.810 align:middle line:84%
I'm sure is the way
you have seen probably

01:33:20.810 --> 01:33:23.500 align:middle line:84%
the definition of entropy
in previous courses.

01:33:23.500 --> 01:33:28.640 align:middle line:90%


01:33:28.640 --> 01:33:34.050 align:middle line:84%
So, yeah, I think we
can stop here for today.

01:33:34.050 --> 01:33:38.000 align:middle line:90%