WEBVTT

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[SQUEAKING]

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[RUSTLING]

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[CLICKING]

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GIAN PAOLO BERETTA: OK.

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Good afternoon.

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Here we are March
19, lecture 13.

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We are still in the
process of studying

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mixtures, the wonderful
world of mixtures.

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And so let me just
briefly see where we are.

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You remember that we
discussed the properties

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of isothermobaric mixing, which
are measurable properties that

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allow us to infer the
chemical potentials thanks

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to this expression here.

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We discussed the intermolecular
forces between molecules

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and, for example, the fact that
in the gas or ideal gas, regime,

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molecules spend
most of their time

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far away from each
other in spite

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of having an enormous amount
of collisions per second,

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during which they do get close.

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But the time they spend
close is small with respect

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to the average.

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And so since the properties
are determined by the average,

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the effect of the
intermolecular interactions

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is relatively negligible and
that's the ideal gas regime.

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We will see more
about that today

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from another point of view,
which we will see in a moment.

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We introduced a first
ideal behavior model

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based on this idea of particles
not interacting, which

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is the ideal Gibbs-Dalton
mixture model in which, as you

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remember, the idea
is that we represent

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the properties of the mixture
as equivalent to the properties

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of a composite system in which
the various components are

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separate.

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They occupy the same volume.

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They are the same temperature.

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And they are at the
partial pressure.

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According to this model,
if each of the substances

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behaves as an ideal gas, so
obeys the ideal gas pV equals

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RT equation of state, we found
that the partial pressures

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add up to the pressure
of the mixture.

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That's Dalton law, this here.

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And the partial
pressures are given

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by the pressure of the mixture
times the mole fraction.

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Plus, the chemical
potential of the components

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in the mixture of
each component is

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equal to this important
expression that

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is the sum of the chemical
potential of the pure component

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at the same temperature
and pressure of the mixture

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plus RT, the log
of a mole fraction.

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We then proved also the
Amagat law of additive volumes

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whereby an ideal
gas mixture is such

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that you can also
view it as a composite

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of separate pure gases,
all at the same temperature

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and pressure but each occupying
the so-called proper volume,

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which is given at the volume
that they would occupy

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when pure in the same amount
at the same temperature

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and pressure.

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Then we discussed
spontaneous mixing.

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What happens when we
have separate gases

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kept separate by
partitions that are

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movable so they are all at the
same temperature and pressure.

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And without any
external effect--

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you see the weight is
at the same level--

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you just let them mix.

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You take the partitions
away and let them mix.

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We found that the mixing
under these conditions

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yields the final temperature
and the final pressure

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equal to the initial ones.

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And the entropy increases by
the so-called entropy of mixing,

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which is given by this term,
minus the number of particles,

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total number of particles, the
gas constant, and the sum of y

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log y, so the mole fractions
times the logarithm

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of the mole fractions.

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We also noticed
that we could have

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done that mixing
in a better way,

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better from the thermodynamic
point of view, in other words

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reversibly, in a weight process.

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And we computed how
much work we could--

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so therefore how much
weight lifting we

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could get if we did
that, indeed, reversibly.

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And here's the formula.

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And the last thing we
discussed was a pictorial idea

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of how that extraction of
the adiabatic availability

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could be done if we have
semi-permeable membranes.

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So here we picture,
first of all,

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the idea is that when
we have a gas confined

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in a volume by a partition
and on the other side

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of the partition
there is volume--

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I mean, there is vacuum--

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the pressure of the
molecules here on the piston

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will tend to push it so
as to increase the volume.

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And that will lift the
weight if properly connected.

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Similarly, the black particles.

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Now the idea here is that in
an ideal Gibbs-Dalton mixture

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behavior, the particles
essentially, even in a mixture,

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ignore each other.

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They live in the
entire volume even as

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if the others weren't there.

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So for the gray particles to
expand, to here whether there

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is the black particles or not,
isn't really a difference.

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So that is the idea
that we can achieve

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with these
semi-permeable membranes.

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This one allows the black
particles to go through

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but not the gray.

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So the gray will push it to the
right and pull up this weight.

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This other membrane is permeable
to the gray particles but not

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the black so the black
will push it leftward

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and pull up this other weight.

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OK.

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You asked, do we have
membranes in reality?

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And yes, we do.

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We can manufacture them.

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We engineer materials.

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These are some YouTube
videos that you

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may want to google and watch.

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Not doing it here.

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And so you can, essentially,
have a wall of material

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with holes.

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And if the holes
are the proper size,

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they can allow the
passage of some particles

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and prevent the other
particles to pass.

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So that is the way we achieve
a semi-permeable membrane.

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In nature, also in
biology, this is

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very important on the surface
of cells where you may have a--

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you may have active
and passive transport.

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Active transport is
a different story

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because it requires some energy
for the particles to move.

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But also there is passive
transport and the fact

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that membranes can be changed by
the cell depending on its needs.

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So for example, if the cell
needs to eat, so to speak,

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it could open little holes so
that the, say, oxygen comes in.

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If the cell needs to
discharge maybe CO2,

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then it needs to open
a little bigger holes

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so that these
molecules can go out.

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I'll have another reference
about biological structures

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but I don't want to talk
about them because I'm not

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at all expert on this.

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But so the world is
full of membranes.

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And we will see more
in a few moments.

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Now there is one historical
topic that is maybe interesting,

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just fun to discuss.

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It's called the Gibbs paradox.

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And we have the tools to
now understand what it means

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and essentially to resolve it.

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The idea is this.

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We just mentioned what happens
when we have particles that mix.

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So here suppose we have
just a binary mixture, only

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two types of particles,
the gray and the black.

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And the spontaneous
mixing occurs this way.

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And if you compute
the entropy of mixing,

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this summation, when you have
only two types of particles,

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becomes a sum of just two terms.

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And of course,
the mole fractions

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when you have two particles
are not independent

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because they must add up to 1.

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So the mole fraction
of second type

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must be equal to 1
minus the mole fraction

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of the first type of particles.

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In the particular case in
which you have 50% of 1 and 50%

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of the other, so the mole
fractions are 50% or 1/2,

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this entropy of mixing
becomes nR log of 2.

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Now if we consider, for example,
a case in which I have one

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particle, if we express one
particle in terms of moles,

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that's 1 over the Avogadro's
number mole because in one mole

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you have these many particles,
6.0 times 10 to the 23rd.

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Right?

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So nR in that case is equal
to R over the Avogadro number.

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And this is called
the Boltzmann constant

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which is one of the
physical constants.

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So if we suppose here we have
just one particle on one side

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and one particle on the other
side so the total n is 2,

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it's actually 2 divided
by Avogadro's number.

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So the entropy of
mixing is twice,

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the Boltzmann constant log of 2.

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So what is the Gibbs paradox?

00:15:33.490 --> 00:15:36.315 align:middle line:84%
The Gibbs paradox
runs as follows.

00:15:36.315 --> 00:15:39.400 align:middle line:90%


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There is a saying that
I know it in Latin.

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Natura non facit saltum.

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It means nature
doesn't make jumps.

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And this I think it goes back
to Aristotle or maybe Leibniz.

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I mean every philosopher
has touched on this idea.

00:16:15.305 --> 00:16:19.110 align:middle line:90%


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So what Gibbs--

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I think the Gibbs,
they call it--

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I really don't know.

00:16:24.460 --> 00:16:27.450 align:middle line:84%
Maybe we should look it up about
the history of these things

00:16:27.450 --> 00:16:31.720 align:middle line:84%
is interesting as a
chapter in itself.

00:16:31.720 --> 00:16:33.910 align:middle line:84%
So I'm not an expert
in that either.

00:16:33.910 --> 00:16:38.290 align:middle line:84%
But suppose that it was Gibbs
who realized that, all right,

00:16:38.290 --> 00:16:48.150 align:middle line:84%
suppose I'm coloring these
particles with a dye.

00:16:48.150 --> 00:16:59.070 align:middle line:84%
And so suppose the amount
of distance in color

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is measured by this
parameter lambda.

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So I say 0 means the
particles are the same color.

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Lambda greater than 0
means that the particles

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are different color.

00:17:11.749 --> 00:17:14.569 align:middle line:90%


00:17:14.569 --> 00:17:15.349 align:middle line:90%
All right.

00:17:15.349 --> 00:17:17.920 align:middle line:84%
So regardless of
the color, here we

00:17:17.920 --> 00:17:22.750 align:middle line:84%
see that the result, this
result, the entropy of mixing,

00:17:22.750 --> 00:17:26.115 align:middle line:84%
is the same regardless of how
different the particles are.

00:17:26.115 --> 00:17:28.880 align:middle line:90%


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There is no detail about what
the particles or the mass is.

00:17:32.320 --> 00:17:36.020 align:middle line:90%
It's just how many there are.

00:17:36.020 --> 00:17:39.770 align:middle line:84%
So the entropy of
mixing is always

00:17:39.770 --> 00:17:51.380 align:middle line:84%
given by this amount,
nR log of 2, except--

00:17:51.380 --> 00:17:54.660 align:middle line:84%
and so you would say,
well, as lambda goes to 0,

00:17:54.660 --> 00:18:00.610 align:middle line:84%
I would expect that to
also go continuously.

00:18:00.610 --> 00:18:06.400 align:middle line:84%
Instead, as you go
to 0, that jumps to 0

00:18:06.400 --> 00:18:13.820 align:middle line:84%
because, if we think in terms
of the simple-system model,

00:18:13.820 --> 00:18:20.920 align:middle line:84%
you remember that when
we have a pure substance,

00:18:20.920 --> 00:18:23.500 align:middle line:84%
putting a partition
or removing it

00:18:23.500 --> 00:18:25.270 align:middle line:90%
doesn't change the properties.

00:18:25.270 --> 00:18:31.060 align:middle line:84%
So that's one quick way, since
we have seen a lot before,

00:18:31.060 --> 00:18:38.320 align:middle line:84%
to show that if the
particles are identical,

00:18:38.320 --> 00:18:41.400 align:middle line:84%
removing the partition will not
change any of the properties,

00:18:41.400 --> 00:18:42.150 align:middle line:90%
including entropy.

00:18:42.150 --> 00:18:46.170 align:middle line:90%


00:18:46.170 --> 00:18:49.950 align:middle line:84%
So there is no entropy
of mixing in this case.

00:18:49.950 --> 00:18:55.950 align:middle line:84%
If you mix the same substance,
there is no entropy of mixing.

00:18:55.950 --> 00:18:57.610 align:middle line:84%
As soon as they
become different,

00:18:57.610 --> 00:19:01.500 align:middle line:84%
there is entropy of mixing
and it is discontinuous.

00:19:01.500 --> 00:19:06.275 align:middle line:84%
So that's why the philosophers
didn't like this idea.

00:19:06.275 --> 00:19:12.510 align:middle line:90%


00:19:12.510 --> 00:19:17.790 align:middle line:84%
But in fact, it all
has to do with the fact

00:19:17.790 --> 00:19:22.880 align:middle line:84%
that we are doing
modeling of reality.

00:19:22.880 --> 00:19:32.330 align:middle line:84%
So Nature is the
way we model it.

00:19:32.330 --> 00:19:37.850 align:middle line:84%
So if we have the possibility
to distinguish the particles

00:19:37.850 --> 00:19:46.130 align:middle line:84%
and therefore they are different
for us, then there is mixing.

00:19:46.130 --> 00:19:48.510 align:middle line:84%
And if there is
entropy of mixing,

00:19:48.510 --> 00:19:53.990 align:middle line:84%
there is also the
possibility to do work.

00:19:53.990 --> 00:19:59.630 align:middle line:84%
As we have seen, we can
do this work, this mixing,

00:19:59.630 --> 00:20:02.810 align:middle line:90%
properly and extract some work.

00:20:02.810 --> 00:20:08.510 align:middle line:84%
But if we don't
have the possibility

00:20:08.510 --> 00:20:14.600 align:middle line:84%
to recognize, to identify,
to distinguish the particles,

00:20:14.600 --> 00:20:17.510 align:middle line:90%
that work is impossible for us.

00:20:17.510 --> 00:20:22.370 align:middle line:84%
So it has to do with the way we
model it or, if you really want

00:20:22.370 --> 00:20:31.200 align:middle line:84%
to go Nature, if the particles
are truly indistinguishable

00:20:31.200 --> 00:20:33.870 align:middle line:84%
in the sense of
quantum mechanics,

00:20:33.870 --> 00:20:37.360 align:middle line:84%
distinguishable/
indistinguishable, fermion,

00:20:37.360 --> 00:20:40.860 align:middle line:84%
bosons, and that
kind of discussion,

00:20:40.860 --> 00:20:45.820 align:middle line:84%
then there is no way
you can distinguish.

00:20:45.820 --> 00:20:51.330 align:middle line:84%
There is no way you
can extract any work.

00:20:51.330 --> 00:20:56.610 align:middle line:84%
If the particles
are distinguishable,

00:20:56.610 --> 00:21:00.250 align:middle line:84%
then it all depends
on your model,

00:21:00.250 --> 00:21:05.910 align:middle line:84%
namely on your kind
of tool that you

00:21:05.910 --> 00:21:07.265 align:middle line:90%
are considering in your model.

00:21:07.265 --> 00:21:13.980 align:middle line:90%


00:21:13.980 --> 00:21:19.730 align:middle line:84%
So that's essentially the
resolution of the paradox.

00:21:19.730 --> 00:21:21.780 align:middle line:90%
There's no paradox.

00:21:21.780 --> 00:21:24.930 align:middle line:90%
It's true like this.

00:21:24.930 --> 00:21:29.280 align:middle line:84%
And the discontinuity in
going from here to there

00:21:29.280 --> 00:21:34.830 align:middle line:84%
is essentially embedded
in our modeling

00:21:34.830 --> 00:21:38.460 align:middle line:84%
or, from the practical
point of view, our ability

00:21:38.460 --> 00:21:42.330 align:middle line:84%
to control the
differences in particles

00:21:42.330 --> 00:21:44.370 align:middle line:84%
because if the
particles are different

00:21:44.370 --> 00:21:51.510 align:middle line:84%
but we have no ways to
control their differences

00:21:51.510 --> 00:21:59.610 align:middle line:84%
and therefore build
semi-permeable membranes that

00:21:59.610 --> 00:22:07.130 align:middle line:84%
can select, then obtaining
that work is out of our reach.

00:22:07.130 --> 00:22:10.590 align:middle line:90%


00:22:10.590 --> 00:22:12.450 align:middle line:90%
OK.

00:22:12.450 --> 00:22:14.375 align:middle line:90%
So that's the Gibbs paradox.

00:22:14.375 --> 00:22:19.460 align:middle line:90%


00:22:19.460 --> 00:22:26.390 align:middle line:84%
And since we are at it, I want
to take a little detour today

00:22:26.390 --> 00:22:35.540 align:middle line:84%
also on some other topics that
are important in statistics,

00:22:35.540 --> 00:22:40.360 align:middle line:84%
in information theory, and
also in quantum theory.

00:22:40.360 --> 00:22:43.600 align:middle line:90%


00:22:43.600 --> 00:22:48.800 align:middle line:84%
So again, look at this box with
particles, different particles.

00:22:48.800 --> 00:22:51.980 align:middle line:90%


00:22:51.980 --> 00:22:55.640 align:middle line:84%
And suppose you
make an experiment

00:22:55.640 --> 00:23:02.550 align:middle line:84%
by having a little window
someplace like a control volume

00:23:02.550 --> 00:23:09.180 align:middle line:84%
somewhere in that container
where you can look.

00:23:09.180 --> 00:23:13.200 align:middle line:84%
If there is a particle in there,
there can be only one at a time.

00:23:13.200 --> 00:23:16.460 align:middle line:90%
It's a small control volume.

00:23:16.460 --> 00:23:24.320 align:middle line:84%
You write it down in your
experimental notebook and say,

00:23:24.320 --> 00:23:28.460 align:middle line:84%
oh yeah, I saw a
molecule of nitrogen,

00:23:28.460 --> 00:23:35.180 align:middle line:84%
or I saw a molecule of oxygen,
or I saw a molecule of argon,

00:23:35.180 --> 00:23:38.900 align:middle line:90%
or I saw a molecule of CO2.

00:23:38.900 --> 00:23:46.040 align:middle line:90%
If that's air, this is the idea.

00:23:46.040 --> 00:23:56.200 align:middle line:84%
And if you are in a stable
equilibrium state and therefore

00:23:56.200 --> 00:24:02.830 align:middle line:84%
the probabilities that you
observe one of these molecules

00:24:02.830 --> 00:24:09.040 align:middle line:84%
is proportional to the
fraction of particles

00:24:09.040 --> 00:24:12.130 align:middle line:84%
overall so it's
the mole fraction.

00:24:12.130 --> 00:24:15.200 align:middle line:84%
So the mole fraction,
which by the way

00:24:15.200 --> 00:24:16.840 align:middle line:90%
is a number like probability.

00:24:16.840 --> 00:24:21.610 align:middle line:84%
It's a number between 0
and 1 and it adds up to 1.

00:24:21.610 --> 00:24:24.700 align:middle line:84%
So the mole fraction
is the probability

00:24:24.700 --> 00:24:27.450 align:middle line:90%
to get a particle of that type.

00:24:27.450 --> 00:24:35.930 align:middle line:90%


00:24:35.930 --> 00:24:43.260 align:middle line:90%
So there is a measure--

00:24:43.260 --> 00:24:50.330 align:middle line:84%
if you are facing this
situation with probabilities,

00:24:50.330 --> 00:24:54.920 align:middle line:84%
you are in an
uncertainty situation.

00:24:54.920 --> 00:24:59.540 align:middle line:84%
You are uncertain
about what will

00:24:59.540 --> 00:25:03.350 align:middle line:84%
be the outcome of
the next observation.

00:25:03.350 --> 00:25:10.010 align:middle line:84%
You cannot predict the next
time that's what I will get.

00:25:10.010 --> 00:25:14.330 align:middle line:84%
But you can predict,
because the mole fractions,

00:25:14.330 --> 00:25:18.740 align:middle line:84%
with what frequency you will
get these results upon repeated

00:25:18.740 --> 00:25:19.740 align:middle line:90%
measurement.

00:25:19.740 --> 00:25:23.680 align:middle line:90%


00:25:23.680 --> 00:25:27.310 align:middle line:84%
But when you are facing
the next observation

00:25:27.310 --> 00:25:30.820 align:middle line:84%
and you have a big
question mark in your mind

00:25:30.820 --> 00:25:33.640 align:middle line:84%
and ask, all right, what
will be the next outcome,

00:25:33.640 --> 00:25:36.190 align:middle line:84%
you are in a state
of uncertainty.

00:25:36.190 --> 00:25:42.850 align:middle line:84%
And the uncertainty
can be measured

00:25:42.850 --> 00:25:49.240 align:middle line:84%
by this measure of information,
which is called the Shannon

00:25:49.240 --> 00:25:50.950 align:middle line:90%
information entropy.

00:25:50.950 --> 00:25:58.690 align:middle line:84%
Shannon, 1948, said, well, if
I look at a situation described

00:25:58.690 --> 00:26:00.910 align:middle line:84%
by probabilities
like these events,

00:26:00.910 --> 00:26:11.800 align:middle line:84%
and I want to find the most
logical mathematical expression

00:26:11.800 --> 00:26:13.780 align:middle line:84%
or function of
these probabilities

00:26:13.780 --> 00:26:18.006 align:middle line:84%
that expresses my
state of uncertainty.

00:26:18.006 --> 00:26:20.860 align:middle line:90%


00:26:20.860 --> 00:26:24.380 align:middle line:84%
He set up some postulates,
some desiderata

00:26:24.380 --> 00:26:31.460 align:middle line:84%
about this measurement
function of probabilities.

00:26:31.460 --> 00:26:36.320 align:middle line:84%
And the only function that
satisfies those criteria

00:26:36.320 --> 00:26:37.150 align:middle line:90%
is this one.

00:26:37.150 --> 00:26:41.890 align:middle line:90%


00:26:41.890 --> 00:26:45.700 align:middle line:90%
For example, see if you are--

00:26:45.700 --> 00:26:49.190 align:middle line:84%
that is equal to 0 if
you have certainty.

00:26:49.190 --> 00:26:53.260 align:middle line:84%
So if the probabilities
are all zeros

00:26:53.260 --> 00:26:58.870 align:middle line:84%
except one event that is equal
to 1, so you have certainty.

00:26:58.870 --> 00:27:02.090 align:middle line:84%
So the particles
are only one type.

00:27:02.090 --> 00:27:04.610 align:middle line:90%
The mole fraction is 1.

00:27:04.610 --> 00:27:05.110 align:middle line:90%
OK.

00:27:05.110 --> 00:27:07.840 align:middle line:90%


00:27:07.840 --> 00:27:13.240 align:middle line:90%
Log of 1 is 0.

00:27:13.240 --> 00:27:19.670 align:middle line:84%
And x log x for those
that are 0 is again 0

00:27:19.670 --> 00:27:28.360 align:middle line:84%
because you remember that these
functions p log p look this way.

00:27:28.360 --> 00:27:38.260 align:middle line:84%
Between 0 and 1 is
the function x log x.

00:27:38.260 --> 00:27:40.450 align:middle line:90%
Right?

00:27:40.450 --> 00:27:43.840 align:middle line:84%
So in that case of
complete certainty,

00:27:43.840 --> 00:27:51.020 align:middle line:84%
the information entropy is
0, or on the opposite side,

00:27:51.020 --> 00:27:56.450 align:middle line:84%
if all particles have
equal probability

00:27:56.450 --> 00:28:05.120 align:middle line:84%
so all the mole fractions
are equal, and in that case,

00:28:05.120 --> 00:28:16.640 align:middle line:84%
the entropy is equal to
log of n of the number of--

00:28:16.640 --> 00:28:18.990 align:middle line:90%
log of r in this case.

00:28:18.990 --> 00:28:23.820 align:middle line:84%
It's the number of
different particles.

00:28:23.820 --> 00:28:24.880 align:middle line:90%
You can work it out.

00:28:24.880 --> 00:28:27.120 align:middle line:84%
You substitute
each probability is

00:28:27.120 --> 00:28:36.660 align:middle line:84%
1 over r and that this
summation gives log of r.

00:28:36.660 --> 00:28:41.490 align:middle line:84%
That's the maximum, the
most uncertain situation

00:28:41.490 --> 00:28:43.770 align:middle line:90%
when they are all alike.

00:28:43.770 --> 00:28:49.860 align:middle line:84%
If you have instead a situation
like for the molecules of air,

00:28:49.860 --> 00:28:58.230 align:middle line:84%
it's not even and therefore some
are more frequent than others

00:28:58.230 --> 00:29:06.083 align:middle line:84%
so you could guess some better
than if everything was just 50%.

00:29:06.083 --> 00:29:09.200 align:middle line:90%


00:29:09.200 --> 00:29:12.350 align:middle line:90%
You can also view--

00:29:12.350 --> 00:29:15.890 align:middle line:84%
this is interesting also
for us for the next step

00:29:15.890 --> 00:29:21.620 align:middle line:84%
in the next definition
of ideal solution.

00:29:21.620 --> 00:29:27.470 align:middle line:84%
You can also view
this as a weighted sum

00:29:27.470 --> 00:29:30.880 align:middle line:90%
weighted on the mole fractions.

00:29:30.880 --> 00:29:36.140 align:middle line:84%
So I can view this
as a summation.

00:29:36.140 --> 00:29:43.360 align:middle line:84%
The mole fraction
times minus log of y.

00:29:43.360 --> 00:29:46.500 align:middle line:90%


00:29:46.500 --> 00:29:53.130 align:middle line:84%
Now this term in parentheses,
we could call it the surprise.

00:29:53.130 --> 00:29:56.000 align:middle line:90%
The surprise.

00:29:56.000 --> 00:29:57.460 align:middle line:90%
The surprise is a measure.

00:29:57.460 --> 00:30:01.700 align:middle line:90%


00:30:01.700 --> 00:30:08.720 align:middle line:84%
It's high for the
least probable ones.

00:30:08.720 --> 00:30:11.570 align:middle line:90%
So if I get a--

00:30:11.570 --> 00:30:13.040 align:middle line:90%
say that if I get--

00:30:13.040 --> 00:30:16.670 align:middle line:84%
if I see a molecule
of CO2 there and I

00:30:16.670 --> 00:30:20.730 align:middle line:84%
know that there are only
500 PPMs, parts per million,

00:30:20.730 --> 00:30:22.910 align:middle line:84%
so there is very
low probability,

00:30:22.910 --> 00:30:26.810 align:middle line:84%
so if I see that one,
I'm more surprised

00:30:26.810 --> 00:30:32.210 align:middle line:84%
than if I see a
nitrogen or an oxygen.

00:30:32.210 --> 00:30:35.360 align:middle line:84%
Argon also is a
bit of a surprise

00:30:35.360 --> 00:30:38.420 align:middle line:90%
because argon is less than 1%.

00:30:38.420 --> 00:30:47.120 align:middle line:84%
So I need to do 100 trials to
have, on average, one argon.

00:30:47.120 --> 00:30:57.680 align:middle line:84%
And here I need 2,000
trials to get one CO2.

00:30:57.680 --> 00:30:59.440 align:middle line:90%
So that's the surprise.

00:30:59.440 --> 00:31:04.140 align:middle line:90%


00:31:04.140 --> 00:31:07.200 align:middle line:84%
Now, in information
theory, there

00:31:07.200 --> 00:31:12.690 align:middle line:84%
is also this problem that is
also relevant for measurements.

00:31:12.690 --> 00:31:22.110 align:middle line:84%
For example, suppose that
your device finds the particle

00:31:22.110 --> 00:31:26.760 align:middle line:84%
and characterizes the
particle by the mass.

00:31:26.760 --> 00:31:35.520 align:middle line:84%
So when the particle is in
your window, your device, maybe

00:31:35.520 --> 00:31:38.850 align:middle line:84%
a spectrometer or whatever,
it tells you, OK, it

00:31:38.850 --> 00:31:40.970 align:middle line:90%
was a particle with this mass.

00:31:40.970 --> 00:31:45.880 align:middle line:90%


00:31:45.880 --> 00:31:51.790 align:middle line:84%
So in the end, when you do a
measurement, like a repeated

00:31:51.790 --> 00:31:54.560 align:middle line:84%
measurement
procedure, in the end,

00:31:54.560 --> 00:32:04.210 align:middle line:84%
you will find the average or
the mean mass that shows up.

00:32:04.210 --> 00:32:06.970 align:middle line:84%
And suppose that
that's all that you

00:32:06.970 --> 00:32:10.810 align:middle line:90%
can measure of your substance.

00:32:10.810 --> 00:32:14.310 align:middle line:84%
So all you can measure is the
average value of the mass.

00:32:14.310 --> 00:32:19.970 align:middle line:90%


00:32:19.970 --> 00:32:23.600 align:middle line:84%
If that's the only information
I have about my system,

00:32:23.600 --> 00:32:28.250 align:middle line:84%
could I make an educated
guess of what the probability

00:32:28.250 --> 00:32:31.150 align:middle line:84%
distribution, so therefore
what the mole fractions are?

00:32:31.150 --> 00:32:34.410 align:middle line:90%


00:32:34.410 --> 00:32:40.290 align:middle line:84%
And here comes
information theory.

00:32:40.290 --> 00:32:45.360 align:middle line:84%
And again, based on Shannon
information entropy,

00:32:45.360 --> 00:32:52.570 align:middle line:84%
you say, all right, in order
to make the educated guess,

00:32:52.570 --> 00:32:58.000 align:middle line:84%
I should avoid any
bias that is not

00:32:58.000 --> 00:33:02.230 align:middle line:84%
contained in the information
I have about the system.

00:33:02.230 --> 00:33:07.550 align:middle line:84%
So I should use the information
I have, the measured values,

00:33:07.550 --> 00:33:11.110 align:middle line:90%
but not extra stuff.

00:33:11.110 --> 00:33:16.420 align:middle line:84%
So I want to make the
least biased guess.

00:33:16.420 --> 00:33:19.810 align:middle line:84%
And the least biased
guess is obtained

00:33:19.810 --> 00:33:22.780 align:middle line:84%
by saying, all right,
what is the probability

00:33:22.780 --> 00:33:28.540 align:middle line:84%
distribution that maximizes
the Shannon information?

00:33:28.540 --> 00:33:31.270 align:middle line:84%
In other words, it leaves
me with the highest

00:33:31.270 --> 00:33:35.140 align:middle line:84%
possible uncertainty
compatible with that mean value

00:33:35.140 --> 00:33:39.010 align:middle line:90%
that I have observed.

00:33:39.010 --> 00:33:45.890 align:middle line:84%
In this way, I have not built
in the probability distribution,

00:33:45.890 --> 00:33:47.236 align:middle line:90%
any extra information.

00:33:47.236 --> 00:33:51.890 align:middle line:90%


00:33:51.890 --> 00:33:54.980 align:middle line:84%
And so, mathematically,
this means

00:33:54.980 --> 00:33:59.300 align:middle line:84%
you have to maximize
the Shannon entropy

00:33:59.300 --> 00:34:05.120 align:middle line:84%
subject to the constraint
that your mean value be

00:34:05.120 --> 00:34:07.700 align:middle line:90%
the known or measured value.

00:34:07.700 --> 00:34:11.389 align:middle line:84%
Of course, you also have to
put the auxiliary constraint

00:34:11.389 --> 00:34:16.699 align:middle line:84%
that probabilities
must add up to 1.

00:34:16.699 --> 00:34:21.139 align:middle line:84%
And if you solve this
problem with the method

00:34:21.139 --> 00:34:24.080 align:middle line:90%
of Lagrange multipliers--

00:34:24.080 --> 00:34:27.650 align:middle line:84%
I don't want to just go over
that today, but maybe later

00:34:27.650 --> 00:34:34.429 align:middle line:90%
on, since we will review it.

00:34:34.429 --> 00:34:39.230 align:middle line:84%
In any case, I presume that you
have seen it somewhere else.

00:34:39.230 --> 00:34:44.520 align:middle line:84%
So the method simply
says, all right,

00:34:44.520 --> 00:34:46.860 align:middle line:84%
if you have a
constraint maximization,

00:34:46.860 --> 00:34:48.980 align:middle line:84%
you must assign to
each of the constraints

00:34:48.980 --> 00:34:56.456 align:middle line:84%
a Lagrange multiplier, an
undetermined multiplier,

00:34:56.456 --> 00:35:03.100 align:middle line:84%
and then do an unconstrained
maximization of the optimizing

00:35:03.100 --> 00:35:11.350 align:middle line:84%
function minus the constraints
multiplied by these multipliers.

00:35:11.350 --> 00:35:14.080 align:middle line:84%
And then once you
obtain the solution

00:35:14.080 --> 00:35:17.180 align:middle line:84%
of the unconstrained maximum
in terms of these multipliers,

00:35:17.180 --> 00:35:19.540 align:middle line:84%
you substitute back
into the constraints

00:35:19.540 --> 00:35:23.160 align:middle line:84%
and get the values
for the multipliers.

00:35:23.160 --> 00:35:23.660 align:middle line:90%
All right.

00:35:23.660 --> 00:35:28.630 align:middle line:84%
That's a quick so I don't
expect you to have learned it

00:35:28.630 --> 00:35:29.600 align:middle line:90%
from these words.

00:35:29.600 --> 00:35:31.940 align:middle line:84%
But in any case,
if you do the job,

00:35:31.940 --> 00:35:35.470 align:middle line:84%
here's the probability
distribution that you get.

00:35:35.470 --> 00:35:41.680 align:middle line:84%
And if you substitute
this probability back

00:35:41.680 --> 00:35:48.700 align:middle line:84%
into the constraint, this one
that gives you the average M,

00:35:48.700 --> 00:35:55.450 align:middle line:84%
it gives you a relation
between the lambda

00:35:55.450 --> 00:35:59.110 align:middle line:84%
M, which is the Lagrange
multiplier, and the mean value.

00:35:59.110 --> 00:36:02.410 align:middle line:84%
So you get that the
Lagrange multiplier depends

00:36:02.410 --> 00:36:06.160 align:middle line:90%
on that mean value of the mass.

00:36:06.160 --> 00:36:13.000 align:middle line:84%
So this is the best or at least
the least biased assignment

00:36:13.000 --> 00:36:18.730 align:middle line:84%
of mole fractions that you can
do upon a measurement of only

00:36:18.730 --> 00:36:19.410 align:middle line:90%
the mass.

00:36:19.410 --> 00:36:25.150 align:middle line:90%


00:36:25.150 --> 00:36:32.320 align:middle line:84%
We will see in a while that
this probability distribution

00:36:32.320 --> 00:36:39.670 align:middle line:84%
is very similar to what you
have for the description

00:36:39.670 --> 00:36:43.570 align:middle line:84%
of stable equilibrium states
within statistical mechanics

00:36:43.570 --> 00:36:46.720 align:middle line:90%
and quantum theory.

00:36:46.720 --> 00:36:48.680 align:middle line:84%
It's called the
canonical distribution

00:36:48.680 --> 00:36:52.420 align:middle line:84%
if instead of mass
you put energy.

00:36:52.420 --> 00:37:01.750 align:middle line:84%
And that allows or allowed
researchers like Jaynes--

00:37:01.750 --> 00:37:10.750 align:middle line:84%
it's a big name who made
these very neat connections

00:37:10.750 --> 00:37:13.640 align:middle line:84%
between information theory
and statistical mechanics.

00:37:13.640 --> 00:37:17.730 align:middle line:90%


00:37:17.730 --> 00:37:25.500 align:middle line:84%
Or also, if you still go
to the library here at MIT,

00:37:25.500 --> 00:37:32.990 align:middle line:84%
there is a wonderful set of
video lectures by Professor

00:37:32.990 --> 00:37:42.110 align:middle line:84%
Myron Tribus back in, I think,
the '60s or the '70s where he

00:37:42.110 --> 00:37:47.493 align:middle line:84%
does the information theory
point of view of thermodynamics.

00:37:47.493 --> 00:37:49.160 align:middle line:84%
So he develops the
entire thermodynamics

00:37:49.160 --> 00:37:55.410 align:middle line:84%
just by building up on
information theory concepts.

00:37:55.410 --> 00:38:01.720 align:middle line:84%
And indeed there is
a ground for doing it

00:38:01.720 --> 00:38:06.450 align:middle line:84%
because the molecular view
that we are discussing here

00:38:06.450 --> 00:38:09.750 align:middle line:84%
and the tools
developed by Shannon

00:38:09.750 --> 00:38:12.160 align:middle line:90%
do provide that possibility.

00:38:12.160 --> 00:38:17.480 align:middle line:90%


00:38:17.480 --> 00:38:23.830 align:middle line:84%
So I said that I wanted to
make a little digression today.

00:38:23.830 --> 00:38:29.630 align:middle line:84%
So here is a digression
in the digression.

00:38:29.630 --> 00:38:39.740 align:middle line:84%
And it has to do
with the treatment

00:38:39.740 --> 00:38:43.555 align:middle line:90%
of a particle in a box.

00:38:43.555 --> 00:38:50.890 align:middle line:90%


00:38:50.890 --> 00:38:51.470 align:middle line:90%
OK.

00:38:51.470 --> 00:38:59.680 align:middle line:84%
So we take a box of
sides l1, l2, and l3

00:38:59.680 --> 00:39:01.390 align:middle line:90%
in the three directions.

00:39:01.390 --> 00:39:06.010 align:middle line:84%
And we consider only one
particle inside the box.

00:39:06.010 --> 00:39:18.490 align:middle line:84%
That's the idea of this little
survey with some equations

00:39:18.490 --> 00:39:26.770 align:middle line:84%
that are borrowed from
quantum mechanics, which

00:39:26.770 --> 00:39:28.820 align:middle line:90%
you may be familiar or not.

00:39:28.820 --> 00:39:33.520 align:middle line:84%
But even if you
are not, it's OK.

00:39:33.520 --> 00:39:38.290 align:middle line:84%
This is just a quick
view that tells you how

00:39:38.290 --> 00:39:40.620 align:middle line:90%
all these things are related.

00:39:40.620 --> 00:39:44.680 align:middle line:90%
So it might be interesting.

00:39:44.680 --> 00:39:53.590 align:middle line:84%
I will not ask for these in
the oral exam, of course.

00:39:53.590 --> 00:39:56.710 align:middle line:84%
And actually, one
day I will let you

00:39:56.710 --> 00:40:04.720 align:middle line:84%
know which of the many things
that we cover, the slides that

00:40:04.720 --> 00:40:10.420 align:middle line:84%
are going to be part
of the exam so that you

00:40:10.420 --> 00:40:17.350 align:middle line:84%
can focus because otherwise it's
too much, I perfectly realize.

00:40:17.350 --> 00:40:18.110 align:middle line:90%
All right.

00:40:18.110 --> 00:40:27.280 align:middle line:84%
So the idea in quantum mechanics
is that in order to describe

00:40:27.280 --> 00:40:32.050 align:middle line:84%
a molecule like that,
or even simpler,

00:40:32.050 --> 00:40:35.920 align:middle line:84%
if you have a molecule on a
one-dimensional box that we

00:40:35.920 --> 00:40:37.160 align:middle line:90%
already mentioned--

00:40:37.160 --> 00:40:41.980 align:middle line:90%


00:40:41.980 --> 00:40:46.000 align:middle line:84%
so suppose we have just
one-dimensional box.

00:40:46.000 --> 00:40:49.930 align:middle line:84%
In classical mechanics,
the particle is here

00:40:49.930 --> 00:40:52.850 align:middle line:90%
and it goes back and forth.

00:40:52.850 --> 00:40:58.300 align:middle line:84%
It's perfectly
situated somewhere

00:40:58.300 --> 00:40:59.890 align:middle line:90%
at every instant of time.

00:40:59.890 --> 00:41:04.010 align:middle line:84%
In quantum mechanics,
the story is different.

00:41:04.010 --> 00:41:06.700 align:middle line:84%
Particle cannot
be-- is not here--

00:41:06.700 --> 00:41:09.310 align:middle line:90%


00:41:09.310 --> 00:41:13.100 align:middle line:84%
viewing the particle
as localized is wrong.

00:41:13.100 --> 00:41:18.000 align:middle line:84%
It gives you some
results that are wrong.

00:41:18.000 --> 00:41:22.680 align:middle line:84%
So the idea of quantum mechanics
is that you start from--

00:41:22.680 --> 00:41:35.520 align:middle line:84%
you have to find a
probability distribution which

00:41:35.520 --> 00:41:39.670 align:middle line:84%
can be obtained by a
function, let's say phi.

00:41:39.670 --> 00:41:43.640 align:middle line:90%


00:41:43.640 --> 00:41:52.880 align:middle line:84%
And this function
is the solution

00:41:52.880 --> 00:41:55.120 align:middle line:90%
of an eigenvalue problem.

00:41:55.120 --> 00:41:59.630 align:middle line:90%


00:41:59.630 --> 00:42:04.280 align:middle line:84%
And for example, first
of all, this function

00:42:04.280 --> 00:42:07.970 align:middle line:90%
can be also written as--

00:42:07.970 --> 00:42:09.650 align:middle line:90%
it factors.

00:42:09.650 --> 00:42:17.600 align:middle line:84%
So it's a product of a function
of x and a function of time.

00:42:17.600 --> 00:42:27.770 align:middle line:84%
And the function of time, if I
remember, it's minus h bar times

00:42:27.770 --> 00:42:33.926 align:middle line:84%
the energy times
time over something.

00:42:33.926 --> 00:42:39.930 align:middle line:90%


00:42:39.930 --> 00:42:44.490 align:middle line:90%
It will come up somewhere--

00:42:44.490 --> 00:42:45.650 align:middle line:90%
over m probably.

00:42:45.650 --> 00:42:51.300 align:middle line:90%


00:42:51.300 --> 00:42:52.620 align:middle line:90%
Not sure.

00:42:52.620 --> 00:42:57.630 align:middle line:84%
So the idea is that
this function here,

00:42:57.630 --> 00:43:02.040 align:middle line:84%
the one that depends
on x, is the solution

00:43:02.040 --> 00:43:07.230 align:middle line:90%
of an eigenvalue problem.

00:43:07.230 --> 00:43:13.200 align:middle line:90%
And these functions are--

00:43:13.200 --> 00:43:21.610 align:middle line:84%
you can plot them as
follows, as we know.

00:43:21.610 --> 00:43:25.270 align:middle line:90%


00:43:25.270 --> 00:43:29.080 align:middle line:84%
Actually, I think we have
the expression that's

00:43:29.080 --> 00:43:40.520 align:middle line:84%
something like square root of
2 over l where l is the side--

00:43:40.520 --> 00:43:44.110 align:middle line:90%
so this is from 0 to l--

00:43:44.110 --> 00:43:55.953 align:middle line:84%
times sine of some
j, some maybe x.

00:43:55.953 --> 00:44:00.340 align:middle line:90%


00:44:00.340 --> 00:44:02.920 align:middle line:84%
And there are some
other constants here

00:44:02.920 --> 00:44:09.310 align:middle line:90%
that now slips my memory.

00:44:09.310 --> 00:44:23.170 align:middle line:84%
It's maybe h over 2m or
something like that or maybe

00:44:23.170 --> 00:44:25.780 align:middle line:90%
also an l.

00:44:25.780 --> 00:44:29.250 align:middle line:90%
There is also an l here.

00:44:29.250 --> 00:44:38.940 align:middle line:84%
So the idea is that this
j is the integer numbers.

00:44:38.940 --> 00:44:42.750 align:middle line:84%
So there are many
possible contributions.

00:44:42.750 --> 00:44:48.840 align:middle line:84%
Each one of these for each
j corresponds to a solution

00:44:48.840 --> 00:44:55.590 align:middle line:84%
and to that solution corresponds
also an energy level.

00:44:55.590 --> 00:45:00.270 align:middle line:84%
So for example, the lowest
energy level corresponding to j

00:45:00.270 --> 00:45:04.325 align:middle line:84%
is equal to 1 is a
function like this.

00:45:04.325 --> 00:45:07.320 align:middle line:90%


00:45:07.320 --> 00:45:09.450 align:middle line:84%
Then you may have
the second energy

00:45:09.450 --> 00:45:22.225 align:middle line:84%
level in which the function
is something like this.

00:45:22.225 --> 00:45:26.640 align:middle line:90%


00:45:26.640 --> 00:45:44.360 align:middle line:84%
And then j equals
to 3 and so on.

00:45:44.360 --> 00:45:50.630 align:middle line:84%
Corresponding to each of
these j's, there are energies,

00:45:50.630 --> 00:45:54.660 align:middle line:84%
or actually on the slide,
I'm calling them epsilon j.

00:45:54.660 --> 00:45:57.790 align:middle line:90%


00:45:57.790 --> 00:46:07.760 align:middle line:84%
And these energies are h squared
over 2m multiplied by j squared

00:46:07.760 --> 00:46:09.010 align:middle line:90%
over l squared.

00:46:09.010 --> 00:46:13.020 align:middle line:90%


00:46:13.020 --> 00:46:21.260 align:middle line:84%
Maybe there's a pi here because
it needs to go to 0 at 0

00:46:21.260 --> 00:46:22.430 align:middle line:90%
and at l.

00:46:22.430 --> 00:46:25.820 align:middle line:90%
So OK.

00:46:25.820 --> 00:46:34.040 align:middle line:84%
So that means that if this
epsilon 1 is the lowest energy

00:46:34.040 --> 00:46:41.555 align:middle line:90%
level, epsilon 2 is equal to--

00:46:41.555 --> 00:46:44.330 align:middle line:90%


00:46:44.330 --> 00:46:47.300 align:middle line:84%
that corresponds to j
equals 2 so it equals--

00:46:47.300 --> 00:46:49.600 align:middle line:90%
j squared is 4 times epsilon 1.

00:46:49.600 --> 00:46:52.540 align:middle line:90%


00:46:52.540 --> 00:46:58.480 align:middle line:84%
And epsilon 3 is 3
to the square so it's

00:46:58.480 --> 00:47:03.350 align:middle line:90%
9 times epsilon 1 and so on.

00:47:03.350 --> 00:47:09.215 align:middle line:90%


00:47:09.215 --> 00:47:15.270 align:middle line:84%
So already this gives
you the energy levels.

00:47:15.270 --> 00:47:20.320 align:middle line:84%
Now in an experiment
that you do, for example,

00:47:20.320 --> 00:47:26.550 align:middle line:84%
with spectroscopy
on the particle,

00:47:26.550 --> 00:47:28.730 align:middle line:84%
you can measure the
energy of the particle.

00:47:28.730 --> 00:47:31.560 align:middle line:90%


00:47:31.560 --> 00:47:34.830 align:middle line:84%
And you're facing a
situation like the one

00:47:34.830 --> 00:47:39.000 align:middle line:84%
that we've just done with
the mass of the particles

00:47:39.000 --> 00:47:40.630 align:middle line:90%
that you don't know which one.

00:47:40.630 --> 00:47:41.130 align:middle line:90%
OK.

00:47:41.130 --> 00:47:43.670 align:middle line:90%
Here it's a similar situation.

00:47:43.670 --> 00:47:46.680 align:middle line:90%
You do a measurement of energy.

00:47:46.680 --> 00:47:54.240 align:middle line:84%
And you don't know which
one of the possible energies

00:47:54.240 --> 00:47:57.880 align:middle line:84%
you get because the particle
is not definitely on this,

00:47:57.880 --> 00:47:58.480 align:middle line:90%
not always.

00:47:58.480 --> 00:48:02.730 align:middle line:84%
I mean, most of the times,
it's in a superposition

00:48:02.730 --> 00:48:04.590 align:middle line:90%
of energy levels.

00:48:04.590 --> 00:48:08.850 align:middle line:84%
So each one of them
has a probability.

00:48:08.850 --> 00:48:15.200 align:middle line:84%
And the energy of the
particle is the weighted sum

00:48:15.200 --> 00:48:18.365 align:middle line:84%
with these probabilities
of these energy levels.

00:48:18.365 --> 00:48:25.190 align:middle line:90%


00:48:25.190 --> 00:48:30.230 align:middle line:84%
So the state of the particles
is represented by a probability

00:48:30.230 --> 00:48:36.800 align:middle line:84%
distribution, which, at least in
the stable equilibrium states,

00:48:36.800 --> 00:48:44.930 align:middle line:84%
can be viewed as the probability
of finding the energy levels

00:48:44.930 --> 00:48:48.460 align:middle line:90%
among these possibilities.

00:48:48.460 --> 00:48:52.610 align:middle line:84%
That is for the particle
in one-dimensional box.

00:48:52.610 --> 00:48:54.650 align:middle line:84%
If you have a
three-dimensional box,

00:48:54.650 --> 00:48:59.990 align:middle line:84%
each direction has
its own contribution.

00:48:59.990 --> 00:49:04.840 align:middle line:84%
And actually, these
functions factor.

00:49:04.840 --> 00:49:10.210 align:middle line:84%
So the three orthogonal
translational degrees

00:49:10.210 --> 00:49:15.710 align:middle line:84%
of freedom of the particle
are superposed in each other.

00:49:15.710 --> 00:49:23.770 align:middle line:84%
So it's like having three
kind of subparticles

00:49:23.770 --> 00:49:28.420 align:middle line:84%
like in a perfect gas
that ignore each other.

00:49:28.420 --> 00:49:32.050 align:middle line:84%
Each degree of freedom
lives by itself

00:49:32.050 --> 00:49:37.120 align:middle line:84%
occupies its directional
modes by itself

00:49:37.120 --> 00:49:40.630 align:middle line:84%
without interacting
with the other modes.

00:49:40.630 --> 00:49:47.990 align:middle line:84%
That's why this is such a
simple extension of that.

00:49:47.990 --> 00:49:55.360 align:middle line:84%
Just multiply, so to speak,
the various functions.

00:49:55.360 --> 00:50:00.020 align:middle line:84%
Not only, but from this
one, from these results,

00:50:00.020 --> 00:50:06.220 align:middle line:84%
you can also obtain the
probability of finding--

00:50:06.220 --> 00:50:14.390 align:middle line:84%
the probability density
of finding these particle

00:50:14.390 --> 00:50:17.410 align:middle line:84%
if you make a position
measurement, finding it

00:50:17.410 --> 00:50:21.070 align:middle line:90%
between x and x plus dx.

00:50:21.070 --> 00:50:24.080 align:middle line:84%
That's the PDF, the
probability density function.

00:50:24.080 --> 00:50:32.770 align:middle line:84%
It's given by this psi, the
modulus of this one or also

00:50:32.770 --> 00:50:34.360 align:middle line:90%
that one.

00:50:34.360 --> 00:50:40.040 align:middle line:84%
And I think there is
an i here that I'm

00:50:40.040 --> 00:50:44.930 align:middle line:84%
missing because this
is supposed to be i

00:50:44.930 --> 00:50:46.730 align:middle line:90%
is the square root of minus 1.

00:50:46.730 --> 00:50:48.602 align:middle line:90%
OK.

00:50:48.602 --> 00:50:53.460 align:middle line:84%
So that means that when I do the
complex conjugate of this one,

00:50:53.460 --> 00:50:57.470 align:middle line:90%
that i becomes minus i.

00:50:57.470 --> 00:51:04.190 align:middle line:84%
And so the modulus of phi is
equal to-- this one cancels

00:51:04.190 --> 00:51:17.180 align:middle line:84%
and you're left with this, which
is the modulus of psi squared.

00:51:17.180 --> 00:51:20.430 align:middle line:84%
And that is the probability
density function.

00:51:20.430 --> 00:51:23.360 align:middle line:84%
So if you want to
know how much is

00:51:23.360 --> 00:51:25.850 align:middle line:84%
the probability in that
interval, you multiply by dx.

00:51:25.850 --> 00:51:29.090 align:middle line:90%


00:51:29.090 --> 00:51:35.930 align:middle line:84%
And if you want to know
the probability to go from,

00:51:35.930 --> 00:51:37.940 align:middle line:84%
say, from here to
there, you just

00:51:37.940 --> 00:51:44.090 align:middle line:84%
do the integral from
whatever x, say x1 to x2,

00:51:44.090 --> 00:51:46.550 align:middle line:90%
to get the overall distribution.

00:51:46.550 --> 00:51:51.610 align:middle line:84%
So these functions are these
ones that I've plotted.

00:51:51.610 --> 00:51:54.850 align:middle line:90%


00:51:54.850 --> 00:51:57.210 align:middle line:90%
I wish I had more space.

00:51:57.210 --> 00:51:57.800 align:middle line:90%
OK.

00:51:57.800 --> 00:51:58.680 align:middle line:90%
Do it this way.

00:51:58.680 --> 00:52:05.510 align:middle line:90%


00:52:05.510 --> 00:52:14.860 align:middle line:84%
So the probabilities are the
square of these functions.

00:52:14.860 --> 00:52:17.290 align:middle line:84%
The wave functions
can go negative.

00:52:17.290 --> 00:52:22.030 align:middle line:84%
But the probability is
essentially the square.

00:52:22.030 --> 00:52:26.500 align:middle line:84%
So take the square
of this sine and it

00:52:26.500 --> 00:52:29.680 align:middle line:90%
becomes something like this.

00:52:29.680 --> 00:52:40.480 align:middle line:84%
The square of this other sine,
it becomes something like this

00:52:40.480 --> 00:52:41.730 align:middle line:90%
and so on.

00:52:41.730 --> 00:52:49.980 align:middle line:90%


00:52:49.980 --> 00:52:51.010 align:middle line:90%
And so on.

00:52:51.010 --> 00:52:54.570 align:middle line:90%


00:52:54.570 --> 00:53:01.260 align:middle line:84%
When the particle
is in a given state,

00:53:01.260 --> 00:53:06.570 align:middle line:84%
it is not typically in just
one of these energy levels.

00:53:06.570 --> 00:53:09.220 align:middle line:84%
It is a probability
distribution.

00:53:09.220 --> 00:53:14.790 align:middle line:84%
So each one of these
distributions in space

00:53:14.790 --> 00:53:19.090 align:middle line:84%
is weighted by a
probability distribution.

00:53:19.090 --> 00:53:20.790 align:middle line:90%
So there will be a p1.

00:53:20.790 --> 00:53:24.540 align:middle line:84%
There will be a
p2, p3, and so on.

00:53:24.540 --> 00:53:31.650 align:middle line:84%
So you have a weighted sum of
these probabilities with which

00:53:31.650 --> 00:53:38.310 align:middle line:84%
you can compute, for
example, the probability

00:53:38.310 --> 00:53:44.220 align:middle line:84%
that your particle is
between x and x plus dx,

00:53:44.220 --> 00:53:53.930 align:middle line:84%
it's this area times p1
plus this area times p2 plus

00:53:53.930 --> 00:53:58.730 align:middle line:84%
that area times
p3 up to infinity

00:53:58.730 --> 00:54:01.070 align:middle line:90%
because you have to go up.

00:54:01.070 --> 00:54:03.390 align:middle line:90%
This j goes up to infinity.

00:54:03.390 --> 00:54:08.290 align:middle line:90%


00:54:08.290 --> 00:54:12.940 align:middle line:84%
And that's how you compute the
actual stable equilibrium state

00:54:12.940 --> 00:54:14.630 align:middle line:90%
probability distribution.

00:54:14.630 --> 00:54:17.700 align:middle line:90%


00:54:17.700 --> 00:54:21.930 align:middle line:84%
We already mentioned the fact
that when you do this job,

00:54:21.930 --> 00:54:27.090 align:middle line:84%
you can compute therefore
the probability density.

00:54:27.090 --> 00:54:31.500 align:middle line:84%
For every x, you will
find that it will always

00:54:31.500 --> 00:54:36.660 align:middle line:84%
go to 0 at the edges
because at the edges,

00:54:36.660 --> 00:54:40.060 align:middle line:84%
no matter how you weight
it, it's always 0.

00:54:40.060 --> 00:54:48.810 align:middle line:84%
So the sum of 0 is 0
whereas, in the center,

00:54:48.810 --> 00:54:58.500 align:middle line:84%
you will have some wiggles,
especially if the low energy

00:54:58.500 --> 00:54:59.890 align:middle line:90%
levels are important.

00:54:59.890 --> 00:55:05.070 align:middle line:84%
As you go upwards, this
becomes so you may have,

00:55:05.070 --> 00:55:08.250 align:middle line:90%
if the quantum number goes--

00:55:08.250 --> 00:55:13.740 align:middle line:84%
as it goes higher, these
wiggles become more intense

00:55:13.740 --> 00:55:15.820 align:middle line:90%
and they add up.

00:55:15.820 --> 00:55:17.710 align:middle line:84%
And so the one
cancels the others.

00:55:17.710 --> 00:55:21.760 align:middle line:84%
And so the 0, you'll
get only 0 at the walls

00:55:21.760 --> 00:55:24.130 align:middle line:84%
but not in the middle,
not in the bulk.

00:55:24.130 --> 00:55:27.620 align:middle line:90%


00:55:27.620 --> 00:55:29.330 align:middle line:90%
OK.

00:55:29.330 --> 00:55:33.110 align:middle line:90%
So these are the energy levels.

00:55:33.110 --> 00:55:35.330 align:middle line:84%
Here is the name for
the probabilities

00:55:35.330 --> 00:55:39.680 align:middle line:90%
that we have simplified here.

00:55:39.680 --> 00:55:42.830 align:middle line:84%
In three dimensions,
you have three labels

00:55:42.830 --> 00:55:45.886 align:middle line:84%
because you have one quantum
number per direction.

00:55:45.886 --> 00:55:49.440 align:middle line:90%


00:55:49.440 --> 00:55:54.900 align:middle line:84%
And the typical
problem that you face

00:55:54.900 --> 00:56:01.350 align:middle line:84%
if you do energy measurements
is, well, how do I--

00:56:01.350 --> 00:56:05.380 align:middle line:84%
what's my best guess for this
probability distribution?

00:56:05.380 --> 00:56:08.530 align:middle line:90%


00:56:08.530 --> 00:56:10.470 align:middle line:84%
That's the information
theory point of view.

00:56:10.470 --> 00:56:15.210 align:middle line:90%


00:56:15.210 --> 00:56:18.615 align:middle line:84%
The thermodynamics point
of view is, all right,

00:56:18.615 --> 00:56:23.640 align:middle line:84%
the probabilities if we accept
that the probabilities represent

00:56:23.640 --> 00:56:31.860 align:middle line:84%
the state, and if we accept
that entropy is measured

00:56:31.860 --> 00:56:37.850 align:middle line:84%
by a function like this, then
we can use the maximum entropy

00:56:37.850 --> 00:56:45.780 align:middle line:84%
principle which says,
for a given energy,

00:56:45.780 --> 00:57:01.920 align:middle line:84%
my system has an energy
and entropy diagram.

00:57:01.920 --> 00:57:10.230 align:middle line:84%
And for a given energy, I may
have many different states.

00:57:10.230 --> 00:57:13.830 align:middle line:84%
But if I'm looking for the
stable equilibrium state,

00:57:13.830 --> 00:57:17.490 align:middle line:84%
I know that it has to have the
maximum entropy for that given

00:57:17.490 --> 00:57:18.930 align:middle line:90%
energy.

00:57:18.930 --> 00:57:21.090 align:middle line:84%
So that's precisely
the same problem

00:57:21.090 --> 00:57:22.260 align:middle line:90%
that we have seen before.

00:57:22.260 --> 00:57:25.770 align:middle line:84%
Maximize entropy
provided you accept

00:57:25.770 --> 00:57:29.953 align:middle line:84%
that formula for the entropy
of the quantum particle.

00:57:29.953 --> 00:57:34.450 align:middle line:90%


00:57:34.450 --> 00:57:37.780 align:middle line:84%
Then the mathematics
of maximization

00:57:37.780 --> 00:57:39.926 align:middle line:84%
is the same using
Lagrange multipliers.

00:57:39.926 --> 00:57:43.180 align:middle line:90%


00:57:43.180 --> 00:57:47.800 align:middle line:84%
Now since we know
already the answer,

00:57:47.800 --> 00:57:57.190 align:middle line:84%
instead of calling the Lagrange
multiplier lambda E, which since

00:57:57.190 --> 00:57:59.440 align:middle line:84%
later on we recognize
that that lambda is

00:57:59.440 --> 00:58:03.340 align:middle line:84%
the inverse of the temperature
divided by the Boltzmann

00:58:03.340 --> 00:58:06.200 align:middle line:84%
constant, we already
call it 1 over kT.

00:58:06.200 --> 00:58:09.510 align:middle line:90%


00:58:09.510 --> 00:58:12.360 align:middle line:84%
And so you find
this distribution.

00:58:12.360 --> 00:58:16.830 align:middle line:84%
So the probabilities are
given by e to the minus

00:58:16.830 --> 00:58:24.270 align:middle line:84%
the energy, these energy
values, divided by--

00:58:24.270 --> 00:58:31.830 align:middle line:84%
or multiplied by the Lagrange
multiplier divided by this Q.

00:58:31.830 --> 00:58:35.230 align:middle line:84%
You can view it as a
normalization factor.

00:58:35.230 --> 00:58:38.162 align:middle line:84%
It's essentially the
summation of all these things

00:58:38.162 --> 00:58:50.370 align:middle line:84%
at the numerator, this Q. I
also see that since the energy

00:58:50.370 --> 00:58:52.160 align:middle line:90%
eigenvalues add up.

00:58:52.160 --> 00:58:54.870 align:middle line:90%


00:58:54.870 --> 00:58:57.780 align:middle line:84%
The exponential of a sum
is equal to the product

00:58:57.780 --> 00:58:58.810 align:middle line:90%
of the exponentials.

00:58:58.810 --> 00:59:04.380 align:middle line:84%
So these probability
distributions factor

00:59:04.380 --> 00:59:09.060 align:middle line:84%
into separate
probability distributions

00:59:09.060 --> 00:59:13.690 align:middle line:84%
for each of the
directions of the box.

00:59:13.690 --> 00:59:18.730 align:middle line:84%
So you can view the
problem also just as--

00:59:18.730 --> 00:59:22.630 align:middle line:84%
you can solve it in
one direction per time

00:59:22.630 --> 00:59:24.660 align:middle line:84%
and then simply
multiply the results.

00:59:24.660 --> 00:59:27.580 align:middle line:90%


00:59:27.580 --> 00:59:31.630 align:middle line:84%
These denominators or
denominator for the overall

00:59:31.630 --> 00:59:33.915 align:middle line:84%
is called the
partition function.

00:59:33.915 --> 00:59:38.640 align:middle line:90%


00:59:38.640 --> 00:59:39.160 align:middle line:90%
Yes.

00:59:39.160 --> 00:59:43.570 align:middle line:84%
It plays the role of
the normalization factor

00:59:43.570 --> 00:59:49.500 align:middle line:84%
so that when you sum the
probabilities, they add up to 1.

00:59:49.500 --> 00:59:52.440 align:middle line:84%
But it also plays
an interesting role

00:59:52.440 --> 00:59:58.740 align:middle line:84%
because, essentially, you
can extract everything if you

00:59:58.740 --> 01:00:00.010 align:middle line:90%
know this partition function.

01:00:00.010 --> 01:00:04.890 align:middle line:84%
If you know this summation,
by playing with it in terms

01:00:04.890 --> 01:00:08.490 align:middle line:84%
of taking some
derivatives, you can

01:00:08.490 --> 01:00:12.790 align:middle line:84%
get everything of
the distribution,

01:00:12.790 --> 01:00:16.650 align:middle line:84%
including the
probabilities themselves.

01:00:16.650 --> 01:00:20.130 align:middle line:84%
So if you take the
partial derivative

01:00:20.130 --> 01:00:24.510 align:middle line:84%
of the logarithm of the
partition function as written

01:00:24.510 --> 01:00:28.200 align:middle line:84%
here and take the
derivative with respect

01:00:28.200 --> 01:00:34.950 align:middle line:84%
to the energy level, you get the
probability and multiply by kT

01:00:34.950 --> 01:00:40.570 align:middle line:84%
and minus, you get
the probability

01:00:40.570 --> 01:00:42.840 align:middle line:90%
of observing that energy level.

01:00:42.840 --> 01:00:47.420 align:middle line:90%


01:00:47.420 --> 01:00:51.260 align:middle line:84%
Or you take this
other derivative.

01:00:51.260 --> 01:00:55.100 align:middle line:84%
You take the derivative
with respect to temperature

01:00:55.100 --> 01:01:06.410 align:middle line:84%
because, yes, in a moment we'll
recognize that this T is also--

01:01:06.410 --> 01:01:11.480 align:middle line:84%
this Lagrange
multiplier, satisfies

01:01:11.480 --> 01:01:13.430 align:middle line:84%
our definition of
temperature-- is

01:01:13.430 --> 01:01:17.180 align:middle line:84%
the partial of E
with respect to S.

01:01:17.180 --> 01:01:21.980 align:middle line:84%
And so you identify it
with the temperature.

01:01:21.980 --> 01:01:25.430 align:middle line:84%
So if you take the log of--
the partial of log of Q

01:01:25.430 --> 01:01:34.010 align:middle line:84%
with respect to T, you get
the energy, the mean energy.

01:01:34.010 --> 01:01:37.100 align:middle line:84%
The mean energy is the
average value of the energy.

01:01:37.100 --> 01:01:40.550 align:middle line:84%
So it's the weighted
sum of these energy

01:01:40.550 --> 01:01:43.070 align:middle line:84%
levels weighted on
the probability that

01:01:43.070 --> 01:01:44.510 align:middle line:90%
represents that state.

01:01:44.510 --> 01:01:47.930 align:middle line:90%


01:01:47.930 --> 01:01:50.140 align:middle line:90%
And also, the entropy.

01:01:50.140 --> 01:01:53.240 align:middle line:90%


01:01:53.240 --> 01:01:57.140 align:middle line:84%
Also the entropy because
the probabilities factor,

01:01:57.140 --> 01:02:00.380 align:middle line:84%
the entropies add, because
the logarithm-- remember,

01:02:00.380 --> 01:02:03.650 align:middle line:84%
the logarithm of the
product is equal to the sum

01:02:03.650 --> 01:02:06.590 align:middle line:90%
of the logarithms.

01:02:06.590 --> 01:02:09.680 align:middle line:84%
So you can write
the overall entropy

01:02:09.680 --> 01:02:12.680 align:middle line:84%
and split it into the
entropies of the three

01:02:12.680 --> 01:02:15.830 align:middle line:90%
directions of the box.

01:02:15.830 --> 01:02:20.300 align:middle line:84%
And each one of them can be
obtained as a proper derivative

01:02:20.300 --> 01:02:26.030 align:middle line:84%
of Q or if you've already taken
the derivative that gives you

01:02:26.030 --> 01:02:33.170 align:middle line:84%
the energy, you can write S
as E over T plus Boltzmann

01:02:33.170 --> 01:02:37.160 align:middle line:84%
constant times the logarithm
of the partition function.

01:02:37.160 --> 01:02:44.750 align:middle line:84%
This is somehow as close
as you can get to the Euler

01:02:44.750 --> 01:02:46.250 align:middle line:90%
free energy or the free energy.

01:02:46.250 --> 01:02:51.780 align:middle line:90%


01:02:51.780 --> 01:02:54.450 align:middle line:90%
In fact, some people call it--

01:02:54.450 --> 01:03:01.800 align:middle line:84%
you could also rewrite
that as Ei minus TSi

01:03:01.800 --> 01:03:12.920 align:middle line:84%
is equal to kB T log of Q,
probably with a minus sign.

01:03:12.920 --> 01:03:13.420 align:middle line:90%
Yeah.

01:03:13.420 --> 01:03:19.840 align:middle line:90%


01:03:19.840 --> 01:03:20.340 align:middle line:90%
OK.

01:03:20.340 --> 01:03:36.060 align:middle line:90%


01:03:36.060 --> 01:03:44.380 align:middle line:84%
Now going back to
these probabilities,

01:03:44.380 --> 01:03:47.710 align:middle line:84%
this probability
distribution is the one

01:03:47.710 --> 01:03:50.680 align:middle line:84%
that characterizes the
stable equilibrium state.

01:03:50.680 --> 01:03:53.800 align:middle line:90%
It characterizes this state.

01:03:53.800 --> 01:03:55.515 align:middle line:90%
How about these other ones?

01:03:55.515 --> 01:04:06.030 align:middle line:90%


01:04:06.030 --> 01:04:12.450 align:middle line:84%
So this canonical distribution,
the maximum entropy one,

01:04:12.450 --> 01:04:15.430 align:middle line:90%
looks like this.

01:04:15.430 --> 01:04:18.700 align:middle line:84%
Here, for simplicity,
I have drawn

01:04:18.700 --> 01:04:25.910 align:middle line:84%
a system which doesn't have
this eigenvalue structure

01:04:25.910 --> 01:04:29.470 align:middle line:84%
but it has energy levels
that are equally spaced

01:04:29.470 --> 01:04:32.710 align:middle line:90%
and there is only seven of them.

01:04:32.710 --> 01:04:38.510 align:middle line:84%
The lowest one, 1,
2, 3, 4, 5, 6, 7.

01:04:38.510 --> 01:04:39.110 align:middle line:90%
OK.

01:04:39.110 --> 01:04:40.245 align:middle line:90%
Equally spaced.

01:04:40.245 --> 01:04:45.150 align:middle line:90%


01:04:45.150 --> 01:04:50.670 align:middle line:84%
We have already mentioned
that for a system

01:04:50.670 --> 01:04:55.600 align:middle line:84%
with an upper bound to
the energy spectrum--

01:04:55.600 --> 01:04:58.500 align:middle line:90%
this need an r here--

01:04:58.500 --> 01:05:01.950 align:middle line:90%
that should be spectrum--

01:05:01.950 --> 01:05:06.820 align:middle line:84%
the E versus S diagram
doesn't go up indefinitely

01:05:06.820 --> 01:05:09.660 align:middle line:90%
but it bends and returns.

01:05:09.660 --> 01:05:11.615 align:middle line:90%
So that's the case.

01:05:11.615 --> 01:05:14.250 align:middle line:90%


01:05:14.250 --> 01:05:17.110 align:middle line:84%
So we have only
seven energy levels.

01:05:17.110 --> 01:05:24.510 align:middle line:84%
And we can picture these
probabilities by a histogram.

01:05:24.510 --> 01:05:29.070 align:middle line:84%
So this is the maximum entropy,
the canonical distribution.

01:05:29.070 --> 01:05:32.670 align:middle line:84%
For example, this
is a zero entropy.

01:05:32.670 --> 01:05:38.640 align:middle line:84%
A zero entropy state is one
in which you are certain--

01:05:38.640 --> 01:05:42.090 align:middle line:84%
remember, the entropy in
terms of probabilities

01:05:42.090 --> 01:05:44.460 align:middle line:84%
represents your
state of uncertainty.

01:05:44.460 --> 01:05:48.010 align:middle line:84%
Well, if I know that
every time I measure,

01:05:48.010 --> 01:05:51.720 align:middle line:84%
I always find the particle
in that energy level,

01:05:51.720 --> 01:05:53.020 align:middle line:90%
I have no uncertainty.

01:05:53.020 --> 01:05:54.900 align:middle line:90%
The entropy is zero.

01:05:54.900 --> 01:06:03.210 align:middle line:84%
And that is when I have zeros
for all probabilities except 1,

01:06:03.210 --> 01:06:04.250 align:middle line:90%
which is equal to 1.

01:06:04.250 --> 01:06:07.610 align:middle line:90%


01:06:07.610 --> 01:06:14.480 align:middle line:84%
A point like here is one that
has an intermediate probability

01:06:14.480 --> 01:06:15.895 align:middle line:90%
between 0 and the maximum.

01:06:15.895 --> 01:06:19.510 align:middle line:90%


01:06:19.510 --> 01:06:26.680 align:middle line:84%
You can concoct an infinite
number of possibilities

01:06:26.680 --> 01:06:32.710 align:middle line:84%
of different probabilities,
probability distributions, that

01:06:32.710 --> 01:06:37.060 align:middle line:84%
have the same entropy and,
of course, the same energy.

01:06:37.060 --> 01:06:40.260 align:middle line:90%
Here are the ones.

01:06:40.260 --> 01:06:40.760 align:middle line:90%
OK.

01:06:40.760 --> 01:06:45.230 align:middle line:90%


01:06:45.230 --> 01:06:48.072 align:middle line:90%
Why is that important?

01:06:48.072 --> 01:06:52.930 align:middle line:90%


01:06:52.930 --> 01:06:55.390 align:middle line:84%
When we are interested
in describing

01:06:55.390 --> 01:06:59.830 align:middle line:84%
non-equilibrium states,
what is important

01:06:59.830 --> 01:07:05.860 align:middle line:84%
is to be able to
understand or model

01:07:05.860 --> 01:07:10.930 align:middle line:84%
how these states or these
probability distributions

01:07:10.930 --> 01:07:17.980 align:middle line:84%
evolve towards equilibrium
because Nature non facit saltum,

01:07:17.980 --> 01:07:27.220 align:middle line:84%
but Nature usually likes
to go towards equilibrium.

01:07:27.220 --> 01:07:30.560 align:middle line:84%
And so there is a
spontaneous tendency.

01:07:30.560 --> 01:07:38.350 align:middle line:84%
So there is a natural law
that pushes a system to even

01:07:38.350 --> 01:07:44.420 align:middle line:84%
out or redistribute
the energy load.

01:07:44.420 --> 01:07:47.720 align:middle line:84%
You can interpret
these histograms--

01:07:47.720 --> 01:07:50.230 align:middle line:90%


01:07:50.230 --> 01:07:52.780 align:middle line:84%
the probabilities-- you
see as written here--

01:07:52.780 --> 01:07:58.810 align:middle line:84%
measure the degree of
involvement of the level ej

01:07:58.810 --> 01:08:03.790 align:middle line:90%
in sharing the mean energy load.

01:08:03.790 --> 01:08:09.220 align:middle line:84%
You give some energy
to the particle.

01:08:09.220 --> 01:08:15.700 align:middle line:84%
And the particle has to
decide where to put it.

01:08:15.700 --> 01:08:20.210 align:middle line:84%
It can put it in
translational mode.

01:08:20.210 --> 01:08:23.649 align:middle line:84%
But as we've seen here, if
the particle is confined,

01:08:23.649 --> 01:08:27.290 align:middle line:84%
the translational modes have
these kind of energy levels.

01:08:27.290 --> 01:08:29.470 align:middle line:84%
So how much energy
do I put in this mode

01:08:29.470 --> 01:08:32.470 align:middle line:84%
and how much in that
and how much in that?

01:08:32.470 --> 01:08:38.560 align:middle line:84%
If the particle also has
an internal structure,

01:08:38.560 --> 01:08:42.069 align:middle line:84%
so for example,
it could vibrate,

01:08:42.069 --> 01:08:47.899 align:middle line:84%
or if it has a structure so that
it can rotate, it can put also,

01:08:47.899 --> 01:08:54.319 align:middle line:84%
you get additional
modes, rotational modes,

01:08:54.319 --> 01:08:56.450 align:middle line:84%
and then you have
electronic modes.

01:08:56.450 --> 01:09:05.569 align:middle line:84%
So the particle has to decide
how to distribute and distribute

01:09:05.569 --> 01:09:07.609 align:middle line:90%
evenly.

01:09:07.609 --> 01:09:17.840 align:middle line:84%
So if it is unconstrained,
the most even distribution

01:09:17.840 --> 01:09:21.380 align:middle line:84%
is the maximum entropy,
the equilibrium.

01:09:21.380 --> 01:09:24.810 align:middle line:84%
At equilibrium, it will
have distributed things

01:09:24.810 --> 01:09:26.430 align:middle line:90%
so as to maximize the entropy.

01:09:26.430 --> 01:09:31.345 align:middle line:84%
So entropy also measures
the degree of sharing.

01:09:31.345 --> 01:09:35.660 align:middle line:90%


01:09:35.660 --> 01:09:39.380 align:middle line:84%
The highest degree of
sharing is achieved here.

01:09:39.380 --> 01:09:44.960 align:middle line:84%
And the natural
phenomena have in common

01:09:44.960 --> 01:09:48.620 align:middle line:84%
the idea that there is
a spontaneous tendency

01:09:48.620 --> 01:09:56.300 align:middle line:84%
to share the energy
as evenly as possible

01:09:56.300 --> 01:10:01.430 align:middle line:84%
among the available
energy levels.

01:10:01.430 --> 01:10:08.870 align:middle line:84%
So the question about dynamics
is how do these things

01:10:08.870 --> 01:10:10.460 align:middle line:90%
evolve in time.

01:10:10.460 --> 01:10:15.540 align:middle line:84%
And here I have a slide
with some animation.

01:10:15.540 --> 01:10:16.710 align:middle line:90%
Hopefully, it should work.

01:10:16.710 --> 01:10:17.250 align:middle line:90%
Let's see.

01:10:17.250 --> 01:10:22.380 align:middle line:90%


01:10:22.380 --> 01:10:23.010 align:middle line:90%
Yeah.

01:10:23.010 --> 01:10:28.860 align:middle line:84%
So for example, I started from
very close to zero entropy.

01:10:28.860 --> 01:10:33.150 align:middle line:84%
And this is a smooth
transition in which

01:10:33.150 --> 01:10:37.350 align:middle line:84%
the particle, while keeping
the energy constant,

01:10:37.350 --> 01:10:41.190 align:middle line:84%
redistributes the probabilities
until it eventually

01:10:41.190 --> 01:10:45.896 align:middle line:84%
achieves the stable equilibrium
canonical distribution.

01:10:45.896 --> 01:10:52.090 align:middle line:90%


01:10:52.090 --> 01:10:56.140 align:middle line:84%
And also, this one
is another example.

01:10:56.140 --> 01:11:02.470 align:middle line:84%
Started from an intermediate
state with two initially

01:11:02.470 --> 01:11:07.990 align:middle line:84%
full energy levels
and the other ones

01:11:07.990 --> 01:11:14.370 align:middle line:84%
get filled until, in the end,
you get to the same state.

01:11:14.370 --> 01:11:20.800 align:middle line:90%


01:11:20.800 --> 01:11:26.710 align:middle line:84%
I rescued these
viewgraphs from work

01:11:26.710 --> 01:11:38.240 align:middle line:84%
that I had done for my
PhD thesis here, 1981,

01:11:38.240 --> 01:11:45.110 align:middle line:84%
to devise an equation of motion
that would take any probability

01:11:45.110 --> 01:11:51.320 align:middle line:84%
distribution of this sort
and evolves it smoothly

01:11:51.320 --> 01:11:55.220 align:middle line:90%
towards a stable equilibrium.

01:11:55.220 --> 01:11:58.700 align:middle line:84%
And that's developed
in the subject

01:11:58.700 --> 01:12:04.730 align:middle line:84%
that I now call it
steepest entropy ascent

01:12:04.730 --> 01:12:08.030 align:middle line:84%
but also has to do
with what I like

01:12:08.030 --> 01:12:11.220 align:middle line:84%
to call the fourth
law of thermodynamics

01:12:11.220 --> 01:12:17.240 align:middle line:84%
because, essentially, this
kind of dynamical description

01:12:17.240 --> 01:12:23.990 align:middle line:84%
of non-equilibrium states
is common of a large number

01:12:23.990 --> 01:12:27.170 align:middle line:90%
of theories of non-equilibrium.

01:12:27.170 --> 01:12:35.420 align:middle line:84%
There are some
features and there

01:12:35.420 --> 01:12:44.180 align:middle line:84%
are some aspects, some general
aspects of this modeling ideas,

01:12:44.180 --> 01:12:50.210 align:middle line:84%
that are so common in spite of
the different fields in which

01:12:50.210 --> 01:12:56.180 align:middle line:84%
you find them, that you
can say that perhaps

01:12:56.180 --> 01:13:03.140 align:middle line:90%
they represent another law of--

01:13:03.140 --> 01:13:09.680 align:middle line:84%
shouldn't say of Nature,
but another law of modeling

01:13:09.680 --> 01:13:12.860 align:middle line:84%
Nature correctly,
like the second law

01:13:12.860 --> 01:13:18.110 align:middle line:84%
we have described as something
that your model should not

01:13:18.110 --> 01:13:18.810 align:middle line:90%
violate.

01:13:18.810 --> 01:13:21.170 align:middle line:90%
Otherwise, it is a bad model.

01:13:21.170 --> 01:13:24.410 align:middle line:84%
Also, the fourth law
will be something

01:13:24.410 --> 01:13:29.790 align:middle line:84%
that is similarly
to be satisfied

01:13:29.790 --> 01:13:34.920 align:middle line:84%
if your model has to provide a
compatible description of how

01:13:34.920 --> 01:13:38.700 align:middle line:84%
states evolve
towards equilibrium--

01:13:38.700 --> 01:13:43.140 align:middle line:84%
compatible with all
we know about evidence

01:13:43.140 --> 01:13:44.765 align:middle line:90%
of physical reality.

01:13:44.765 --> 01:13:49.670 align:middle line:90%


01:13:49.670 --> 01:13:55.270 align:middle line:84%
Well, a little more because
we haven't finished yet

01:13:55.270 --> 01:13:59.240 align:middle line:90%
with the particle in the box.

01:13:59.240 --> 01:14:09.640 align:middle line:90%
And let me take it--

01:14:09.640 --> 01:14:12.310 align:middle line:84%
start again from the
partition function

01:14:12.310 --> 01:14:19.010 align:middle line:84%
Q of the one
dimensional case, which

01:14:19.010 --> 01:14:23.260 align:middle line:84%
is therefore the summation of
e to the energy levels over kT.

01:14:23.260 --> 01:14:29.550 align:middle line:84%
And here are the energy
levels substituted directly.

01:14:29.550 --> 01:14:32.550 align:middle line:84%
So you see now in
this expression,

01:14:32.550 --> 01:14:34.440 align:middle line:90%
what are the fixed parameters.

01:14:34.440 --> 01:14:36.300 align:middle line:84%
I mean, some are
physical constants--

01:14:36.300 --> 01:14:40.940 align:middle line:84%
Planck constant h,
Boltzmann constant kb.

01:14:40.940 --> 01:14:44.570 align:middle line:90%
m is the mass of your particle.

01:14:44.570 --> 01:14:48.830 align:middle line:84%
j is just the dummy
variable in this summation.

01:14:48.830 --> 01:14:51.410 align:middle line:84%
There are only two
parameters in this formula--

01:14:51.410 --> 01:14:58.970 align:middle line:84%
T, which is the temperature, and
l, which is the size of the box

01:14:58.970 --> 01:15:00.610 align:middle line:90%
or the side of the box.

01:15:00.610 --> 01:15:04.100 align:middle line:90%


01:15:04.100 --> 01:15:07.970 align:middle line:84%
So Q is a function
of two variables.

01:15:07.970 --> 01:15:11.370 align:middle line:84%
That means that, as we like
to do when we have functions,

01:15:11.370 --> 01:15:14.720 align:middle line:90%
we take the differentials.

01:15:14.720 --> 01:15:18.740 align:middle line:84%
So if I take the differential of
the logarithm of this summation,

01:15:18.740 --> 01:15:26.540 align:middle line:84%
logarithm of Q, and it takes a
little while, but you can do it.

01:15:26.540 --> 01:15:27.715 align:middle line:90%
You can check.

01:15:27.715 --> 01:15:30.740 align:middle line:90%


01:15:30.740 --> 01:15:34.340 align:middle line:90%
It can be written this way.

01:15:34.340 --> 01:15:37.730 align:middle line:84%
So of course, it
has a dT and a dl

01:15:37.730 --> 01:15:39.810 align:middle line:84%
because the two
variables are T and l.

01:15:39.810 --> 01:15:44.310 align:middle line:90%


01:15:44.310 --> 01:15:47.100 align:middle line:84%
So once you have
done it, you may

01:15:47.100 --> 01:15:52.410 align:middle line:84%
say that the coefficient
that multiplies dT

01:15:52.410 --> 01:16:00.440 align:middle line:84%
is equal to the derivative of
the log of Q with respect to T.

01:16:00.440 --> 01:16:04.500 align:middle line:90%
And so you obtain this relation.

01:16:04.500 --> 01:16:07.710 align:middle line:84%
And this other one is
equal to the derivative

01:16:07.710 --> 01:16:14.670 align:middle line:90%
of log of Q with respect to l.

01:16:14.670 --> 01:16:19.380 align:middle line:84%
Actually, notice that since
it's dl/l, this is also

01:16:19.380 --> 01:16:21.210 align:middle line:90%
the derivative of the log of l.

01:16:21.210 --> 01:16:24.020 align:middle line:90%


01:16:24.020 --> 01:16:30.210 align:middle line:84%
So you obtain that derivative
of log of Q over log of l

01:16:30.210 --> 01:16:34.080 align:middle line:90%
is equal to E sub i over kT.

01:16:34.080 --> 01:16:53.960 align:middle line:84%
Now, E sub i, I don't find it in
this slide, but it is E sub i.

01:16:53.960 --> 01:16:58.340 align:middle line:84%
If you go a couple of
slides earlier, you find it.

01:16:58.340 --> 01:17:01.630 align:middle line:84%
And you should correct me
if I'm writing it wrong.

01:17:01.630 --> 01:17:07.560 align:middle line:90%


01:17:07.560 --> 01:17:09.810 align:middle line:84%
E sub i should be
the weighted sum

01:17:09.810 --> 01:17:13.440 align:middle line:84%
of the probabilities
of the energy

01:17:13.440 --> 01:17:20.550 align:middle line:90%
levels of the single direction.

01:17:20.550 --> 01:17:23.140 align:middle line:90%


01:17:23.140 --> 01:17:28.580 align:middle line:84%
So essentially, it's
the partial energy.

01:17:28.580 --> 01:17:33.880 align:middle line:84%
You see, the overall energy is
equal to the sum of the energies

01:17:33.880 --> 01:17:38.980 align:middle line:84%
that the particle has
in the three directions.

01:17:38.980 --> 01:17:42.100 align:middle line:90%
It's like additive.

01:17:42.100 --> 01:17:47.890 align:middle line:84%
They are independent
modes, independent lives

01:17:47.890 --> 01:17:50.590 align:middle line:84%
that the particle has
in the three directions.

01:17:50.590 --> 01:17:55.900 align:middle line:84%
So here we are watching
it in just one direction.

01:17:55.900 --> 01:18:02.060 align:middle line:84%
Then, another formula that
we had a couple of slides ago

01:18:02.060 --> 01:18:08.595 align:middle line:84%
is this one, the one that I also
wrote here for the free energy.

01:18:08.595 --> 01:18:12.600 align:middle line:90%


01:18:12.600 --> 01:18:20.100 align:middle line:84%
So if I take the differential
of this one, here is what I get.

01:18:20.100 --> 01:18:21.810 align:middle line:84%
Again, it takes a
little bit of doing

01:18:21.810 --> 01:18:27.030 align:middle line:84%
because I have to take the
differential of log of Q.

01:18:27.030 --> 01:18:29.860 align:middle line:84%
But the differential of
log of Q, we just take it.

01:18:29.860 --> 01:18:32.980 align:middle line:90%


01:18:32.980 --> 01:18:33.890 align:middle line:90%
We just took it.

01:18:33.890 --> 01:18:36.220 align:middle line:90%
And so here it is.

01:18:36.220 --> 01:18:37.790 align:middle line:90%
We substitute it there.

01:18:37.790 --> 01:18:42.340 align:middle line:84%
This one cancels with the minus
1/T squared that comes from

01:18:42.340 --> 01:18:43.760 align:middle line:90%
the derivative of this.

01:18:43.760 --> 01:18:45.670 align:middle line:84%
And so here is what
I'm left with--

01:18:45.670 --> 01:18:50.920 align:middle line:90%
dS 1/T dE plus something dl.

01:18:50.920 --> 01:18:54.130 align:middle line:90%


01:18:54.130 --> 01:18:57.100 align:middle line:84%
This is an entropy form of
the fundamental relation

01:18:57.100 --> 01:18:58.605 align:middle line:84%
for the stable
equilibrium state.

01:18:58.605 --> 01:19:01.460 align:middle line:90%


01:19:01.460 --> 01:19:03.770 align:middle line:90%
So this is the Gibbs relation.

01:19:03.770 --> 01:19:05.790 align:middle line:84%
You like to put
it in energy form.

01:19:05.790 --> 01:19:07.340 align:middle line:90%
You just solve for dE.

01:19:07.340 --> 01:19:08.540 align:middle line:90%
And here is it.

01:19:08.540 --> 01:19:13.400 align:middle line:84%
It's dE is minus TdS
minus something dl.

01:19:13.400 --> 01:19:18.140 align:middle line:90%


01:19:18.140 --> 01:19:28.360 align:middle line:84%
Now, if you remember,
when we have

01:19:28.360 --> 01:19:35.770 align:middle line:84%
a substance in the
simple-system model limit,

01:19:35.770 --> 01:19:42.640 align:middle line:84%
the Gibbs relation is
that dE is TdS minus pdV.

01:19:42.640 --> 01:19:44.890 align:middle line:90%
pdV, OK?

01:19:44.890 --> 01:19:47.950 align:middle line:84%
Volume is the
parameter, and pressure

01:19:47.950 --> 01:19:50.860 align:middle line:84%
is the coefficient in
the differential that

01:19:50.860 --> 01:19:55.480 align:middle line:84%
measures the partial of
the energy with respect

01:19:55.480 --> 01:19:58.330 align:middle line:90%
to volume at constant S.

01:19:58.330 --> 01:20:02.410 align:middle line:84%
All right, so that prompts
us by just looking at this.

01:20:02.410 --> 01:20:04.960 align:middle line:84%
Here, we don't have
volume because there

01:20:04.960 --> 01:20:06.470 align:middle line:90%
is no volume for this particle.

01:20:06.470 --> 01:20:08.210 align:middle line:84%
It is only the
length of the box.

01:20:08.210 --> 01:20:13.480 align:middle line:84%
The size of the box is the
equivalent of the volume.

01:20:13.480 --> 01:20:17.610 align:middle line:84%
So we can define the
equivalent of a pressure.

01:20:17.610 --> 01:20:20.650 align:middle line:90%


01:20:20.650 --> 01:20:21.380 align:middle line:90%
I will call it--

01:20:21.380 --> 01:20:24.340 align:middle line:84%
I don't know what name
to give, but I will

01:20:24.340 --> 01:20:28.120 align:middle line:90%
call it directional pressure.

01:20:28.120 --> 01:20:29.790 align:middle line:90%
It has dimensions of pressure.

01:20:29.790 --> 01:20:32.740 align:middle line:90%


01:20:32.740 --> 01:20:39.400 align:middle line:84%
And I say-- and I define it
as the negative of the partial

01:20:39.400 --> 01:20:47.290 align:middle line:84%
of the energy with respect to
volume but done while changing

01:20:47.290 --> 01:20:51.190 align:middle line:90%
only the--

01:20:51.190 --> 01:20:54.100 align:middle line:90%
one direction.

01:20:54.100 --> 01:20:57.110 align:middle line:84%
So you see, since I have
a box now this size,

01:20:57.110 --> 01:21:01.270 align:middle line:84%
this shape, there are three
different ways in which I

01:21:01.270 --> 01:21:04.000 align:middle line:90%
can change the volume.

01:21:04.000 --> 01:21:12.130 align:middle line:84%
One is to keep l2 and l3
fixed and make l1 longer.

01:21:12.130 --> 01:21:15.700 align:middle line:84%
And then there are
the other two, OK?

01:21:15.700 --> 01:21:19.940 align:middle line:84%
So I'm changing the volume
just by changing l1.

01:21:19.940 --> 01:21:26.510 align:middle line:84%
That's the pressure
assigned to direction one.

01:21:26.510 --> 01:21:29.960 align:middle line:84%
How much the energy changes
in the stable equilibrium

01:21:29.960 --> 01:21:34.405 align:middle line:84%
at fixed S, fixed l2
and l3 when I change l1.

01:21:34.405 --> 01:21:38.680 align:middle line:90%


01:21:38.680 --> 01:21:41.195 align:middle line:84%
So you can also
rewrite it this way.

01:21:41.195 --> 01:21:43.960 align:middle line:90%


01:21:43.960 --> 01:21:47.290 align:middle line:84%
And if you rewrite it this
way, because the volume--

01:21:47.290 --> 01:21:49.490 align:middle line:84%
I mean, yeah, I'll let
you think about this.

01:21:49.490 --> 01:21:50.940 align:middle line:90%
This is very simple.

01:21:50.940 --> 01:21:53.770 align:middle line:90%


01:21:53.770 --> 01:21:57.460 align:middle line:84%
All right, so the partial of E
with respect to the logarithm

01:21:57.460 --> 01:22:02.350 align:middle line:90%
of l1 is obtained here.

01:22:02.350 --> 01:22:10.390 align:middle line:84%
It goes from this differential,
this coefficient minus 2E is

01:22:10.390 --> 01:22:13.400 align:middle line:84%
exactly the partial of E
with respect to the logarithm

01:22:13.400 --> 01:22:15.830 align:middle line:84%
of the dl/l is the
logarithm of l.

01:22:15.830 --> 01:22:19.210 align:middle line:90%


01:22:19.210 --> 01:22:32.670 align:middle line:84%
So here, what we find is
that pressure is 2E/V.

01:22:32.670 --> 01:22:36.550 align:middle line:84%
That is the closest we can
get for the moment without

01:22:36.550 --> 01:22:38.050 align:middle line:90%
additional assumption.

01:22:38.050 --> 01:22:43.380 align:middle line:90%
So we found that pi--

01:22:43.380 --> 01:22:49.410 align:middle line:90%
let's say-- 1 times the volume--

01:22:49.410 --> 01:22:52.530 align:middle line:90%
is that the volume--

01:22:52.530 --> 01:22:55.080 align:middle line:90%
is equal to 2Ei.

01:22:55.080 --> 01:22:59.160 align:middle line:90%


01:22:59.160 --> 01:23:00.241 align:middle line:90%
This is pi i.

01:23:00.241 --> 01:23:07.790 align:middle line:90%


01:23:07.790 --> 01:23:13.790 align:middle line:84%
In a moment, if you add the
information that eventually we

01:23:13.790 --> 01:23:24.360 align:middle line:84%
will have that E sub i
is equal to 1/2 of kT,

01:23:24.360 --> 01:23:27.120 align:middle line:90%
you substitute up there.

01:23:27.120 --> 01:23:31.980 align:middle line:90%
You find that pi V equals--

01:23:31.980 --> 01:23:36.860 align:middle line:90%
the 2 cancels, equals kT.

01:23:36.860 --> 01:23:41.880 align:middle line:84%
k, remember, is the
gas constant n R. So

01:23:41.880 --> 01:23:44.820 align:middle line:90%
you find that pi V equals nRT.

01:23:44.820 --> 01:23:47.340 align:middle line:90%


01:23:47.340 --> 01:23:51.960 align:middle line:84%
That's the ideal gas
equation of state.

01:23:51.960 --> 01:23:56.170 align:middle line:84%
It requires, though, this
step, which we don't get yet.

01:23:56.170 --> 01:23:58.200 align:middle line:90%
And it's not always.

01:23:58.200 --> 01:24:03.420 align:middle line:84%
But at this stage, without
assumptions about how large

01:24:03.420 --> 01:24:06.510 align:middle line:84%
the temperature is,
which is something

01:24:06.510 --> 01:24:10.300 align:middle line:84%
that we require to discuss
to get to this result,

01:24:10.300 --> 01:24:16.740 align:middle line:84%
we have obtained essentially
the equation of state.

01:24:16.740 --> 01:24:20.760 align:middle line:84%
And of course, you
have one such equation

01:24:20.760 --> 01:24:24.850 align:middle line:90%
of state for each direction.

01:24:24.850 --> 01:24:29.530 align:middle line:84%
You may have energy in
the x, y, and z direction,

01:24:29.530 --> 01:24:32.220 align:middle line:84%
and so you have these
directional pressures.

01:24:32.220 --> 01:24:34.865 align:middle line:84%
And so you have three
such relations here.

01:24:34.865 --> 01:24:46.060 align:middle line:90%


01:24:46.060 --> 01:24:51.610 align:middle line:84%
You also find that
since the energy sums--

01:24:51.610 --> 01:24:56.800 align:middle line:84%
I mean is additive, the
energy of the three directions

01:24:56.800 --> 01:25:00.040 align:middle line:84%
adds up to the overall
energy of your particle,

01:25:00.040 --> 01:25:03.140 align:middle line:84%
this relation between
energy and pressure.

01:25:03.140 --> 01:25:07.510 align:middle line:84%
So you can also be written
as the sum of these three

01:25:07.510 --> 01:25:12.680 align:middle line:90%
pressures times V/2.

01:25:12.680 --> 01:25:17.780 align:middle line:90%


01:25:17.780 --> 01:25:24.110 align:middle line:84%
And from the fact
that the energy sums,

01:25:24.110 --> 01:25:29.060 align:middle line:90%
I can also take the--

01:25:29.060 --> 01:25:34.480 align:middle line:84%
if I take the
differential of this,

01:25:34.480 --> 01:25:38.560 align:middle line:84%
so dE is equal to the sum of
the dEi's but the expressions

01:25:38.560 --> 01:25:40.490 align:middle line:90%
for the dEi's is here.

01:25:40.490 --> 01:25:48.440 align:middle line:84%
So the Gibbs relations for the
various directions are here.

01:25:48.440 --> 01:25:51.670 align:middle line:84%
I can sum them up to get
the overall Gibbs relation

01:25:51.670 --> 01:25:54.400 align:middle line:90%
for my particle in the box.

01:25:54.400 --> 01:25:57.700 align:middle line:90%
And so I have dE equal TdS.

01:25:57.700 --> 01:26:01.670 align:middle line:84%
And instead of pdV, we
have three contributions,

01:26:01.670 --> 01:26:03.020 align:middle line:90%
one for each direction.

01:26:03.020 --> 01:26:07.070 align:middle line:90%


01:26:07.070 --> 01:26:11.960 align:middle line:84%
So this is, in general,
the Gibbs relation

01:26:11.960 --> 01:26:13.690 align:middle line:90%
for the particle in the box.

01:26:13.690 --> 01:26:16.320 align:middle line:90%


01:26:16.320 --> 01:26:19.720 align:middle line:90%
And it requires three pressures.

01:26:19.720 --> 01:26:24.700 align:middle line:90%


01:26:24.700 --> 01:26:37.071 align:middle line:84%
Now, we can make an observation
that the partition function

01:26:37.071 --> 01:26:45.570 align:middle line:84%
that we now recognize
the role is a summation.

01:26:45.570 --> 01:26:50.880 align:middle line:84%
So is a summation
of various terms.

01:26:50.880 --> 01:27:06.360 align:middle line:84%
You can think of a summation
as the various terms.

01:27:06.360 --> 01:27:10.050 align:middle line:84%
Consider them as the
terms in a histogram.

01:27:10.050 --> 01:27:13.280 align:middle line:84%
And then the
summation is the area.

01:27:13.280 --> 01:27:18.410 align:middle line:84%
So this is like the first term,
say, from 0 to 1 and from here

01:27:18.410 --> 01:27:20.065 align:middle line:90%
to 2 and 3 and so on.

01:27:20.065 --> 01:27:22.690 align:middle line:90%


01:27:22.690 --> 01:27:27.770 align:middle line:84%
And so the summation gives
you essentially the area.

01:27:27.770 --> 01:27:31.640 align:middle line:84%
And this is the value of
the element in the sum.

01:27:31.640 --> 01:27:35.630 align:middle line:84%
The idea here is
that you sometimes

01:27:35.630 --> 01:27:43.290 align:middle line:84%
can approximate this summation
as the integral of a curve.

01:27:43.290 --> 01:27:48.210 align:middle line:84%
And that approximation
is good when

01:27:48.210 --> 01:27:55.110 align:middle line:84%
the error that you make, these
differences here become small.

01:27:55.110 --> 01:27:56.350 align:middle line:90%
So this is the idea.

01:27:56.350 --> 01:28:00.040 align:middle line:90%


01:28:00.040 --> 01:28:07.760 align:middle line:84%
It requires that these
things be small somehow.

01:28:07.760 --> 01:28:11.200 align:middle line:84%
And that condition
is written here.

01:28:11.200 --> 01:28:19.600 align:middle line:84%
It means that this combination
of terms must be smaller than 1.

01:28:19.600 --> 01:28:25.420 align:middle line:84%
This is a dimensionless number,
which contains temperature

01:28:25.420 --> 01:28:29.110 align:middle line:90%
and the square of the side.

01:28:29.110 --> 01:28:31.430 align:middle line:90%
And it has to be small.

01:28:31.430 --> 01:28:35.380 align:middle line:84%
If this is small, you can
approximate the summation

01:28:35.380 --> 01:28:36.470 align:middle line:90%
with an integral.

01:28:36.470 --> 01:28:38.380 align:middle line:84%
And then this is
a kind of integral

01:28:38.380 --> 01:28:44.320 align:middle line:84%
that can be done because it's
an integral from 0 to infinity.

01:28:44.320 --> 01:28:51.630 align:middle line:90%
And here is the result.

01:28:51.630 --> 01:28:55.120 align:middle line:84%
And this is the partition
function for one direction.

01:28:55.120 --> 01:28:57.120 align:middle line:84%
If you multiply the
partition functions

01:28:57.120 --> 01:29:05.050 align:middle line:84%
for the various directions,
so you might apply the three.

01:29:05.050 --> 01:29:07.470 align:middle line:84%
You get the partition function
for the overall particle

01:29:07.470 --> 01:29:08.970 align:middle line:90%
in the box.

01:29:08.970 --> 01:29:20.180 align:middle line:90%
And you see here, I have an li.

01:29:20.180 --> 01:29:26.090 align:middle line:84%
It's squared, but
actually, it's to the 1/2.

01:29:26.090 --> 01:29:29.150 align:middle line:90%
So you can take it outside also.

01:29:29.150 --> 01:29:31.530 align:middle line:84%
And when you multiply
the three of them,

01:29:31.530 --> 01:29:38.960 align:middle line:84%
it becomes l1 times l2 times l3,
which is the volume of the box.

01:29:38.960 --> 01:29:43.250 align:middle line:84%
And so the partition function
also here is Q to the 2/3,

01:29:43.250 --> 01:29:44.760 align:middle line:90%
but it's to the 3/2.

01:29:44.760 --> 01:29:47.690 align:middle line:90%
So you can take the V outside.

01:29:47.690 --> 01:29:51.890 align:middle line:84%
So essentially, this says that
the overall partition function

01:29:51.890 --> 01:29:57.020 align:middle line:90%
depends on the volume only.

01:29:57.020 --> 01:30:00.050 align:middle line:84%
Essentially in
this limit, you are

01:30:00.050 --> 01:30:07.410 align:middle line:84%
losing the effect of the
details of the shape of the box.

01:30:07.410 --> 01:30:12.452 align:middle line:84%
What counts is just the
product of the three,

01:30:12.452 --> 01:30:13.285 align:middle line:90%
which is the volume.

01:30:13.285 --> 01:30:18.970 align:middle line:90%


01:30:18.970 --> 01:30:27.250 align:middle line:84%
In fact, in that limit, if you
take the formulas we have up

01:30:27.250 --> 01:30:31.630 align:middle line:84%
here for, say, for
the energy E sub i,

01:30:31.630 --> 01:30:36.640 align:middle line:84%
you have to take the partial of
the logarithm with respect to T.

01:30:36.640 --> 01:30:43.930 align:middle line:84%
Well, here is Q. Take the
logarithm with respect to T.

01:30:43.930 --> 01:30:47.980 align:middle line:90%
It's just 1/2 times kT.

01:30:47.980 --> 01:30:51.570 align:middle line:90%
That's the result.

01:30:51.570 --> 01:30:57.000 align:middle line:84%
And therefore-- and it's
equal in all directions.

01:30:57.000 --> 01:31:02.700 align:middle line:84%
This is so-called
equipartition theorem.

01:31:02.700 --> 01:31:10.950 align:middle line:84%
The particle has
decided in this limit

01:31:10.950 --> 01:31:16.770 align:middle line:84%
to distribute equally
the energy in the three

01:31:16.770 --> 01:31:20.180 align:middle line:90%
translational modes.

01:31:20.180 --> 01:31:25.450 align:middle line:90%
And each one gets a half of kT.

01:31:25.450 --> 01:31:29.200 align:middle line:84%
Meaning that since the energy
of the particle is the sum

01:31:29.200 --> 01:31:34.360 align:middle line:84%
of the energies of
the three directions,

01:31:34.360 --> 01:31:37.330 align:middle line:90%
E is equal to 3/2 of kT.

01:31:37.330 --> 01:31:40.466 align:middle line:90%


01:31:40.466 --> 01:31:43.080 align:middle line:84%
This is a
structureless particle.

01:31:43.080 --> 01:31:49.020 align:middle line:84%
And so the specific heat, which
is the partial of E with respect

01:31:49.020 --> 01:31:53.450 align:middle line:84%
to T is 3/2 of the
Boltzmann constant.

01:31:53.450 --> 01:31:59.480 align:middle line:90%


01:31:59.480 --> 01:32:03.595 align:middle line:84%
Also, these pressures become
all equal to one another.

01:32:03.595 --> 01:32:07.740 align:middle line:90%


01:32:07.740 --> 01:32:12.150 align:middle line:84%
So if I take the Gibbs
relation and these pi's are

01:32:12.150 --> 01:32:21.330 align:middle line:84%
equal to one another, I
can write it this way.

01:32:21.330 --> 01:32:24.600 align:middle line:90%
And so I get--

01:32:24.600 --> 01:32:29.700 align:middle line:84%
so these three terms
become kT, which is here,

01:32:29.700 --> 01:32:33.090 align:middle line:90%
times the sum of the dl/l.

01:32:33.090 --> 01:32:36.520 align:middle line:84%
This is the sum
of the logarithm.

01:32:36.520 --> 01:32:41.480 align:middle line:84%
So it's the derivative of
the volume over the volume.

01:32:41.480 --> 01:32:44.070 align:middle line:90%


01:32:44.070 --> 01:32:50.410 align:middle line:90%
It's d of log of V.

01:32:50.410 --> 01:32:53.200 align:middle line:84%
And so we have the
Gibbs relation.

01:32:53.200 --> 01:32:55.510 align:middle line:84%
But now, if we take
the Gibbs relation,

01:32:55.510 --> 01:32:58.420 align:middle line:84%
and remember that
what multiplies

01:32:58.420 --> 01:33:02.470 align:middle line:84%
dV is what we call
pressure, here we

01:33:02.470 --> 01:33:04.870 align:middle line:84%
find that, therefore,
the pressure

01:33:04.870 --> 01:33:08.620 align:middle line:84%
of the particle in
the box is kT/V.

01:33:08.620 --> 01:33:14.300 align:middle line:84%
So we get pV is equal to kT,
which is the ideal gas law.

01:33:14.300 --> 01:33:18.090 align:middle line:90%


01:33:18.090 --> 01:33:19.770 align:middle line:84%
We also get, of
course, the expression

01:33:19.770 --> 01:33:27.000 align:middle line:84%
for the entropy,
which can be written

01:33:27.000 --> 01:33:30.840 align:middle line:84%
as a function of
temperature and volume only.

01:33:30.840 --> 01:33:34.050 align:middle line:84%
So we lost the information
about-- the need

01:33:34.050 --> 01:33:36.760 align:middle line:90%
to know the details of the box.

01:33:36.760 --> 01:33:39.600 align:middle line:84%
So that means that
in that limit--

01:33:39.600 --> 01:33:44.670 align:middle line:84%
and this limit, this condition
that this is small can also be

01:33:44.670 --> 01:33:49.060 align:middle line:84%
written this way,
that the temperature,

01:33:49.060 --> 01:33:54.570 align:middle line:84%
if you fix the volume, it means
that the temperature must be big

01:33:54.570 --> 01:33:59.430 align:middle line:84%
enough so that these constants
divided by the volume

01:33:59.430 --> 01:34:00.125 align:middle line:90%
to the 2/3--

01:34:00.125 --> 01:34:04.640 align:middle line:90%


01:34:04.640 --> 01:34:07.990 align:middle line:84%
so that the temperature is
much greater than this number.

01:34:07.990 --> 01:34:12.810 align:middle line:90%


01:34:12.810 --> 01:34:15.460 align:middle line:84%
Or you could also
put it differently.

01:34:15.460 --> 01:34:18.030 align:middle line:84%
If you fix the
temperature, you need

01:34:18.030 --> 01:34:21.170 align:middle line:90%
the volume to be big enough.

01:34:21.170 --> 01:34:25.500 align:middle line:84%
The system must
be diluted enough.

01:34:25.500 --> 01:34:33.990 align:middle line:84%
So in these limits, we
find the ideal gas law.

01:34:33.990 --> 01:34:44.670 align:middle line:84%
And we find that a box of the
same volume, it could be very--

01:34:44.670 --> 01:34:49.170 align:middle line:84%
many different shapes
can have the same volume.

01:34:49.170 --> 01:34:51.960 align:middle line:84%
They all have the
same properties.

01:34:51.960 --> 01:35:00.690 align:middle line:84%
That's why in most practical
situations, since this

01:35:00.690 --> 01:35:07.290 align:middle line:84%
is satisfied except when you go
to very low temperatures, that's

01:35:07.290 --> 01:35:10.592 align:middle line:84%
why we typically use just
the volume as parameter

01:35:10.592 --> 01:35:12.550 align:middle line:84%
because otherwise you
would say, all right, you

01:35:12.550 --> 01:35:15.340 align:middle line:84%
said at the beginning you
need to put the parameters

01:35:15.340 --> 01:35:16.580 align:middle line:90%
in the fundamental relation.

01:35:16.580 --> 01:35:18.650 align:middle line:84%
But then you end up always
putting only volume.

01:35:18.650 --> 01:35:19.150 align:middle line:90%
Why?

01:35:19.150 --> 01:35:24.170 align:middle line:84%
Well, here is the reason because
for most practical situations,

01:35:24.170 --> 01:35:30.420 align:middle line:84%
but not for small systems,
volume is all that counts.

01:35:30.420 --> 01:35:36.800 align:middle line:90%


01:35:36.800 --> 01:35:46.790 align:middle line:84%
OK, so just a couple
of minutes we are left.

01:35:46.790 --> 01:35:49.520 align:middle line:84%
I want to introduce
this idea, which

01:35:49.520 --> 01:35:52.360 align:middle line:90%
is going to be our next step.

01:35:52.360 --> 01:35:57.920 align:middle line:90%


01:35:57.920 --> 01:36:06.050 align:middle line:84%
Remember that we talked
about the gas state

01:36:06.050 --> 01:36:09.320 align:middle line:84%
as one in which the particles
spend most of their time distant

01:36:09.320 --> 01:36:13.200 align:middle line:84%
from one another, in spite
of their colliding, OK?

01:36:13.200 --> 01:36:22.150 align:middle line:90%


01:36:22.150 --> 01:36:26.980 align:middle line:90%
So in the ideal gas--

01:36:26.980 --> 01:36:31.480 align:middle line:84%
Gibbs-Dalton mixture
of ideal gases,

01:36:31.480 --> 01:36:35.410 align:middle line:84%
we found that essentially the
particles live in the space

01:36:35.410 --> 01:36:38.355 align:middle line:84%
without seeing each other
except when they collide.

01:36:38.355 --> 01:36:45.880 align:middle line:90%


01:36:45.880 --> 01:36:55.630 align:middle line:84%
And that results to the fact
that the entropy of mixing

01:36:55.630 --> 01:37:01.720 align:middle line:84%
is the only effect that
results upon mixing.

01:37:01.720 --> 01:37:09.430 align:middle line:84%
You mix gases at a given
spontaneous process.

01:37:09.430 --> 01:37:11.860 align:middle line:90%
The temperature doesn't change.

01:37:11.860 --> 01:37:13.080 align:middle line:90%
The pressure doesn't change.

01:37:13.080 --> 01:37:15.960 align:middle line:90%


01:37:15.960 --> 01:37:18.868 align:middle line:84%
And the only thing that
changes is the entropy.

01:37:18.868 --> 01:37:19.535 align:middle line:90%
It's the mixing.

01:37:19.535 --> 01:37:25.550 align:middle line:90%


01:37:25.550 --> 01:37:31.220 align:middle line:84%
Now, we need to define
also an ideal behavior

01:37:31.220 --> 01:37:32.810 align:middle line:90%
for the liquid phase.

01:37:32.810 --> 01:37:37.740 align:middle line:84%
Now, in liquid phase, the
particles do see each other.

01:37:37.740 --> 01:37:42.380 align:middle line:84%
Actually, they live most of
the times close to one another,

01:37:42.380 --> 01:37:53.090 align:middle line:84%
so close to where this
intermolecular potential has

01:37:53.090 --> 01:37:55.010 align:middle line:90%
a minimum.

01:37:55.010 --> 01:37:58.006 align:middle line:90%
So for them, that is important.

01:37:58.006 --> 01:38:01.220 align:middle line:90%


01:38:01.220 --> 01:38:05.840 align:middle line:84%
However, we are going to
define an ideal solution

01:38:05.840 --> 01:38:15.750 align:middle line:84%
behavior, one in which the
curves for the interaction

01:38:15.750 --> 01:38:22.890 align:middle line:84%
between equal particles
or different particles

01:38:22.890 --> 01:38:26.940 align:middle line:90%
are all very similar.

01:38:26.940 --> 01:38:31.920 align:middle line:84%
So if they are all very
similar, the particle

01:38:31.920 --> 01:38:35.580 align:middle line:84%
doesn't care what
the neighbor is.

01:38:35.580 --> 01:38:43.350 align:middle line:84%
In this limit, again, when you
mix stuff, the only effect--

01:38:43.350 --> 01:38:48.540 align:middle line:84%
you don't get any energy of
mixing or enthalpy of mixing.

01:38:48.540 --> 01:38:50.370 align:middle line:84%
You don't get any
change of volume

01:38:50.370 --> 01:38:53.760 align:middle line:84%
of mixing because the
particle doesn't want

01:38:53.760 --> 01:38:56.260 align:middle line:84%
to change their
preferred distances,

01:38:56.260 --> 01:39:02.650 align:middle line:84%
which would imply a enthalpy
of mixing or volume of mixing,

01:39:02.650 --> 01:39:06.570 align:middle line:84%
which would imply
changing the distance.

01:39:06.570 --> 01:39:15.360 align:middle line:84%
Because essentially they like
each other in the same way.

01:39:15.360 --> 01:39:22.410 align:middle line:84%
The only effect upon
mixing is the randomness,

01:39:22.410 --> 01:39:23.855 align:middle line:90%
so the entropy of mixing.

01:39:23.855 --> 01:39:26.576 align:middle line:90%


01:39:26.576 --> 01:39:30.370 align:middle line:84%
And therefore, in this
model that we define,

01:39:30.370 --> 01:39:34.920 align:middle line:84%
we will assume that the entropy
of mixing of the single particle

01:39:34.920 --> 01:39:38.160 align:middle line:90%
is related to the surprise.

01:39:38.160 --> 01:39:44.640 align:middle line:84%
And that is the only effect
of this ideal situation

01:39:44.640 --> 01:39:46.740 align:middle line:90%
that we're going to define.

01:39:46.740 --> 01:39:48.370 align:middle line:90%
OK?

01:39:48.370 --> 01:39:53.960 align:middle line:84%
So with that, we've set the
ground for the next lecture.

01:39:53.960 --> 01:40:01.000 align:middle line:90%