WEBVTT

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[SQUEAKING]

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[RUSTLING]

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[CLICKING]

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PROFESSOR: All right,
let's get going.

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I mentioned that a
lot of what we're

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going to do when we model
solutions is bookkeeping.

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So this is a really
important quantity

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that we're going
to track, and I'm

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going to introduce it--
partial molar properties.

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And we're going to use the
notation as in the text.

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So the partial molar property
for some generic state

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function-- we're using B here
because it can stand in for any

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state function--

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is the partial of the total B--

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this is an extensive
state function--

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with moles of component k
at fixed temperature, fixed

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pressure, and fixed moles
of everything that's not k.

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j not equal to k.

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So B is an extensive property.

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Extensive property.

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n of k is moles of k.

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And B bar of k equals a
partial molar property.

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Sometimes, I'll
just call this PMPs.

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So this is kind
of formal looking,

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but it's not a hard concept.

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You could think of this
in many different ways.

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You could think of
the extensive property

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as the total amount of money in
all of our pockets right now.

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But we each have
different amounts

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of money in our pockets.

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So our own contribution
to the total amount

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of money in all of
our pockets right now

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would be our partial
personal property, I guess.

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You can think of this
as the total area

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in my whole
neighborhood, land area.

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But each of our houses
has a different lot size.

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So we each have a
different contribution

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to the total land area
in my neighborhood

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over here in West Cambridge
and so forth and so on.

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So this bookkeeping
is kind of formal,

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but the concept is familiar.

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We're going to make sure we
know what the total differential

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of property B is.

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We have these coefficients.

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dB dT affects P and mole
number dT plus dB dP.

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That affects T and mole number.

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And here's where we get to use
the partial molar properties.

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Plus B i dni.

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So as defined here,
it's a coefficient.

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Partial molar property
is this coefficient.

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And one clarification.

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For pure phase,
for a pure phase,

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you only have one component.

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Its molar fraction is 1.

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And the partial molar property
is simply the molar property.

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There's no partial involved.

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One thing about
PMPs is PMPs are--

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they're intensive.

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They're independent
of the system size.

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And I'm going to use some
illustrations to tell you

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what I mean there.

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But let's see.

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How do we know
they're intensive?

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A PMP is an extensive
quantity divided

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by an extensive quantity.

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So if I imagine this is
a partial molar property,

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and the system is a given size,
and I double the system size,

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then both the numerator and the
denominator here will double.

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And the intensive partial molar
property will remain unchanged.

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But there are useful
consequences of this.

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So let's imagine a system made
out of triangles and circles.

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So for example, let's imagine
a system with X circle equals X

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triangle.

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And it's 50/50,
just to be specific.

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So let's imagine three
different systems here.

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Here we have one, two,
three, four, five circles.

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And we have five triangles.

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And if we have B circle
equals 7 and B triangle--

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I'm just making a numbers here.

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It doesn't matter
what numbers I use.

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And for T and P
constant, in this case,

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the total amount of B
equals B circle n circle

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plus B triangle n triangle.

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And this is 7 times
5 plus 4 times 5.

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Let's consider a
slightly different case.

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Let's make the system
a little smaller.

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Let's have three moles of each.

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In this case, the total amount
of B again is sum B of i n of i

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equals 7 times 3 plus 4 times 3.

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And then, of course, you
can keep on going here.

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Let's imagine one
circle and one triangle.

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The total amount of
B equals 7 plus 4.

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So why am I telling you this?

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Why did we just go
through this exercise

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with circles and triangles?

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It's because we're
going to add up

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partial molar properties a lot.

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We're going to be
doing this quite a lot.

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And it comes back to this.

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The whole is the sum of the
contributions of the parts,

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according to this
bookkeeping scheme.

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It's according to this
bookkeeping scheme.

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Let's keep going.

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We need some
mathematical relations

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between the whole that is a
total amount of B and the PMPs.

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We're going to consider
scaling the system size

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by a scaling factor.

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And this is the
unit of this thing.

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I'll just use lambda.

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So imagine B is a function
of temperature, pressure,

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and the scaled system size.

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Well, if we imagine,
let's say, doubling

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the amount of
moles of everybody,

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we simply double all
extensive quantities.

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And that holds for any--

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it doesn't have to be double.

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It could be triple.

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It could be half.

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It could be any factor.

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So we have this.

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So if I multiply it
by some constant scale

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factor, the size
of the system, it's

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the same thing as multiplying
the overall extensive quantity

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by that same scale factor.

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I'm going to use this.

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So this is not just for fun.

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This becomes useful.

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But I will call out, for those
of you who are mathematically

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inclined, that that means that B
prime is a homogeneous function

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of the Mk's of order one.

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So for those of you who do
real analysis and stuff,

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that comes into it.

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Never mind.

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So what we're going
to do with that

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is we're going to
take the derivative,

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the total derivative, d
d lambda of both sides.

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So let's see.

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The left-hand side
is going to give us

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dB d lambda equals
dB d lambda n of k.

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Just using the chain rule here.

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This is chain rule.

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And this is our definition
of partial molar property.

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And this derivative
is really easy.

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Right-hand side, d d lambda
times lambda B T P n of k.

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And that is also
an easy derivative.

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That's B T P n of k.

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So I took the total derivative
of the left-hand side

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on the right-hand side.

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And I'm going to
then compare them.

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Again, this is exactly
what we were doing

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with circles and triangles.

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The total extensive
quantity for a system

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is the sum of the
partial molar properties

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times the mole numbers.

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So again, circles and triangles,
scaling with system size.

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And this is called
an Euler equation.

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I think it's the only one we're
going to use in this class.

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So you don't have to worry
so much about that there's

00:13:22.660 --> 00:13:24.490 align:middle line:84%
this category of
equations called

00:13:24.490 --> 00:13:25.720 align:middle line:90%
Euler equations in thermo.

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But you might encounter them, if
not now, then in a later class.

00:13:28.990 --> 00:13:31.120 align:middle line:90%
And that's what this is.

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It is the consequence of
that first-order homogeneous

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property.

00:13:36.340 --> 00:13:39.200 align:middle line:90%


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Where is it stated a
little more colloquially?

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Extensive properties
of a solution phase

00:13:59.190 --> 00:14:18.230 align:middle line:84%
are made up of the mole
weighted PMPs of the components.

00:14:18.230 --> 00:14:24.020 align:middle line:90%


00:14:24.020 --> 00:14:25.440 align:middle line:90%
That's what it means.

00:14:25.440 --> 00:14:29.810 align:middle line:84%
So for example-- this is the
one we'll be using almost

00:14:29.810 --> 00:14:33.330 align:middle line:84%
to the exclusion of any
other in this class--

00:14:33.330 --> 00:14:36.570 align:middle line:84%
the Gibbs free
entry of a system is

00:14:36.570 --> 00:14:48.960 align:middle line:84%
going to be the sum of these
PMPs times the mole numbers.

00:14:48.960 --> 00:14:51.540 align:middle line:84%
And because Gibbs free
energy is so special,

00:14:51.540 --> 00:14:57.240 align:middle line:84%
we have a special expression
for the molar Gibbs free energy

00:14:57.240 --> 00:15:00.620 align:middle line:90%
and its chemical potential.

00:15:00.620 --> 00:15:12.497 align:middle line:84%
So the Gibbs free energy, PMP,
is the chemical potential.

00:15:12.497 --> 00:15:14.080 align:middle line:84%
So you've seen this
expression before.

00:15:14.080 --> 00:15:24.250 align:middle line:90%


00:15:24.250 --> 00:15:25.680 align:middle line:84%
So if you ever
see someone add up

00:15:25.680 --> 00:15:27.270 align:middle line:84%
the Gibbs free
energy of a system,

00:15:27.270 --> 00:15:29.700 align:middle line:84%
and they just jump
right to this,

00:15:29.700 --> 00:15:32.380 align:middle line:90%
you know where it comes from.

00:15:32.380 --> 00:15:34.140 align:middle line:84%
So sum of the
chemical potentials

00:15:34.140 --> 00:15:35.385 align:middle line:90%
weighted by the mole numbers.

00:15:35.385 --> 00:15:38.520 align:middle line:90%


00:15:38.520 --> 00:15:41.010 align:middle line:84%
Unfortunately, we have to
continue with more equations.

00:15:41.010 --> 00:16:00.555 align:middle line:90%


00:16:00.555 --> 00:16:01.930 align:middle line:84%
So what we're
doing here is we're

00:16:01.930 --> 00:16:04.300 align:middle line:84%
building up to these
useful expressions,

00:16:04.300 --> 00:16:05.890 align:middle line:90%
which you can use--

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you will use on the
homework, for instance--

00:16:07.898 --> 00:16:09.940 align:middle line:84%
without necessarily knowing
where they come from.

00:16:09.940 --> 00:16:14.890 align:middle line:90%


00:16:14.890 --> 00:16:17.340 align:middle line:84%
So we have an Euler
equation, which

00:16:17.340 --> 00:16:22.260 align:middle line:84%
is like the one we
just derived, which

00:16:22.260 --> 00:16:29.290 align:middle line:84%
is the total amount of B equals
the sum of the partial molar

00:16:29.290 --> 00:16:32.718 align:middle line:90%
B times the mole numbers.

00:16:32.718 --> 00:16:34.510 align:middle line:84%
And then we're going
to use the chain rule.

00:16:34.510 --> 00:16:38.210 align:middle line:90%


00:16:38.210 --> 00:16:42.140 align:middle line:84%
And we're going to calculate
the total derivative dB.

00:16:42.140 --> 00:16:44.765 align:middle line:84%
And that's going to be
equal to chain rule stuff.

00:16:44.765 --> 00:16:47.330 align:middle line:90%


00:16:47.330 --> 00:16:56.510 align:middle line:90%
Bk dn of k plus n of k d d of k.

00:16:56.510 --> 00:16:59.240 align:middle line:84%
And that's relatively
straightforward.

00:16:59.240 --> 00:17:01.370 align:middle line:84%
And we're going to use
a coefficient relation.

00:17:01.370 --> 00:17:07.480 align:middle line:90%


00:17:07.480 --> 00:17:12.760 align:middle line:84%
The coefficient relation is
that dB at constant temperature

00:17:12.760 --> 00:17:14.940 align:middle line:90%
and pressure equals--

00:17:14.940 --> 00:17:23.660 align:middle line:90%


00:17:23.660 --> 00:17:25.579 align:middle line:84%
that was from the
beginning, when we defined

00:17:25.579 --> 00:17:27.119 align:middle line:90%
the partial model property.

00:17:27.119 --> 00:17:28.702 align:middle line:84%
And so what we're
going to do is we're

00:17:28.702 --> 00:17:37.210 align:middle line:84%
going to simply compare these
expressions, this and this.

00:17:37.210 --> 00:17:40.345 align:middle line:84%
And we find that one
of these two sums is 0.

00:17:40.345 --> 00:18:09.710 align:middle line:90%


00:18:09.710 --> 00:18:12.680 align:middle line:84%
This is called a
Gibbs-Duhem equation.

00:18:12.680 --> 00:18:15.080 align:middle line:84%
And by the way, I
really would not

00:18:15.080 --> 00:18:17.360 align:middle line:84%
be spending the time on
this if it didn't end up

00:18:17.360 --> 00:18:19.080 align:middle line:90%
in a really useful place.

00:18:19.080 --> 00:18:20.630 align:middle line:84%
So if you're
wondering why on Earth

00:18:20.630 --> 00:18:24.380 align:middle line:84%
you sign up for a class
on analysis, all I can say

00:18:24.380 --> 00:18:26.480 align:middle line:90%
is this is a class on thermo.

00:18:26.480 --> 00:18:27.475 align:middle line:90%
And this is part of it.

00:18:27.475 --> 00:18:28.850 align:middle line:84%
And I'm including
it because it's

00:18:28.850 --> 00:18:31.970 align:middle line:84%
going to take us
somewhere really useful.

00:18:31.970 --> 00:18:33.140 align:middle line:90%
Enough excuse making.

00:18:33.140 --> 00:18:34.280 align:middle line:90%
This is thermo.

00:18:34.280 --> 00:18:37.290 align:middle line:84%
So n dbk, what on
Earth does this mean?

00:18:37.290 --> 00:18:40.430 align:middle line:84%
It means that you can't
change all the partial molar

00:18:40.430 --> 00:18:43.810 align:middle line:84%
properties independently
of each other.

00:18:43.810 --> 00:18:49.390 align:middle line:84%
If you have two components,
let's say, the sum runs over 2,

00:18:49.390 --> 00:18:52.450 align:middle line:84%
there's a linkage between
how the partial molar

00:18:52.450 --> 00:18:55.960 align:middle line:84%
properties of one change when
the partial molar properties

00:18:55.960 --> 00:18:58.920 align:middle line:90%
of the other change.

00:18:58.920 --> 00:18:59.993 align:middle line:90%
There's this equation.

00:18:59.993 --> 00:19:01.035 align:middle line:90%
They're related to those.

00:19:01.035 --> 00:19:07.130 align:middle line:90%


00:19:07.130 --> 00:19:08.840 align:middle line:90%
Let me say that.

00:19:08.840 --> 00:19:12.520 align:middle line:90%


00:19:12.520 --> 00:19:32.590 align:middle line:84%
The Gibbs-Duhem equations are
constraints on the variation

00:19:32.590 --> 00:19:34.420 align:middle line:90%
of intensive properties.

00:19:34.420 --> 00:19:43.360 align:middle line:90%


00:19:43.360 --> 00:19:51.200 align:middle line:84%
Or in other words, they
express how the partial molar

00:19:51.200 --> 00:19:54.320 align:middle line:90%
properties covary.

00:19:54.320 --> 00:19:57.200 align:middle line:90%
That's a term from optimization.

00:19:57.200 --> 00:19:59.420 align:middle line:84%
They covary with
system composition.

00:19:59.420 --> 00:20:11.490 align:middle line:90%


00:20:11.490 --> 00:20:13.950 align:middle line:84%
In other words, it's a
differential equation.

00:20:13.950 --> 00:20:20.630 align:middle line:90%


00:20:20.630 --> 00:20:23.165 align:middle line:84%
An equation that describes how
things covary with each other

00:20:23.165 --> 00:20:24.290 align:middle line:90%
is a differential equation.

00:20:24.290 --> 00:20:25.040 align:middle line:90%
That's what it is.

00:20:25.040 --> 00:20:28.890 align:middle line:90%


00:20:28.890 --> 00:20:34.290 align:middle line:84%
So now we're going to
move towards partial molar

00:20:34.290 --> 00:20:35.800 align:middle line:84%
properties of
mixing and so forth.

00:20:35.800 --> 00:20:39.218 align:middle line:84%
And we will finally get to
graphical interpretation, which

00:20:39.218 --> 00:20:40.510 align:middle line:90%
is why we're doing all of this.

00:20:40.510 --> 00:20:51.470 align:middle line:84%
So for example, Gibbs-Duhem
for Gibbs free energy.

00:20:51.470 --> 00:20:57.720 align:middle line:90%


00:20:57.720 --> 00:21:00.150 align:middle line:84%
If anyone's wondering,
what's with Gibbs?

00:21:00.150 --> 00:21:02.576 align:middle line:84%
How come he gets his
name on everything?

00:21:02.576 --> 00:21:04.530 align:middle line:84%
He's one of the most
important and prolific

00:21:04.530 --> 00:21:06.690 align:middle line:90%
American scientists ever.

00:21:06.690 --> 00:21:09.690 align:middle line:84%
And he was a thermodynamics
researcher, obviously,

00:21:09.690 --> 00:21:11.650 align:middle line:90%
in the late 19th century.

00:21:11.650 --> 00:21:15.090 align:middle line:90%
And he spent his career at Yale.

00:21:15.090 --> 00:21:16.350 align:middle line:90%
And yeah.

00:21:16.350 --> 00:21:18.128 align:middle line:84%
His name is all over
classical thermo.

00:21:18.128 --> 00:21:20.880 align:middle line:90%


00:21:20.880 --> 00:21:24.670 align:middle line:84%
Euler, Euler gives
us the following.

00:21:24.670 --> 00:21:27.550 align:middle line:84%
The total of Gibbs
free energy is

00:21:27.550 --> 00:21:35.040 align:middle line:84%
the sum of mu of k n
of k, the chain rule.

00:21:35.040 --> 00:21:39.010 align:middle line:90%


00:21:39.010 --> 00:21:54.195 align:middle line:84%
It gives us dG equals mu of k
dn of k plus n of k d mu of k.

00:21:54.195 --> 00:21:57.240 align:middle line:90%


00:21:57.240 --> 00:22:02.660 align:middle line:84%
And then we combine
the combined statement.

00:22:02.660 --> 00:22:05.590 align:middle line:90%


00:22:05.590 --> 00:22:09.340 align:middle line:84%
The combined statement is
a coefficient relation.

00:22:09.340 --> 00:22:26.070 align:middle line:84%
dG equals minus s dT plus
VdP plus mu of k dn of k.

00:22:26.070 --> 00:22:32.270 align:middle line:84%
And I'm going to use these,
and I get the following.

00:22:32.270 --> 00:22:35.770 align:middle line:90%


00:22:35.770 --> 00:22:47.734 align:middle line:84%
n of k du of k equals
minus S dT plus V dP.

00:22:47.734 --> 00:22:50.730 align:middle line:90%


00:22:50.730 --> 00:22:58.860 align:middle line:84%
Or if I want to divide through
by the total number of moles,

00:22:58.860 --> 00:23:01.490 align:middle line:90%
I get an equivalent statement.

00:23:01.490 --> 00:23:08.090 align:middle line:84%
Mole fraction d mu of
k equals molar entropy.

00:23:08.090 --> 00:23:16.260 align:middle line:90%


00:23:16.260 --> 00:23:20.790 align:middle line:90%
These are also gives qm.

00:23:20.790 --> 00:23:25.900 align:middle line:90%


00:23:25.900 --> 00:23:27.400 align:middle line:84%
So again, you see
what these are is

00:23:27.400 --> 00:23:30.790 align:middle line:84%
they're constraints on how
the intensive properties are

00:23:30.790 --> 00:23:32.560 align:middle line:90%
varying.

00:23:32.560 --> 00:23:34.970 align:middle line:84%
Because intensive properties
have pressure, temperature,

00:23:34.970 --> 00:23:37.660 align:middle line:84%
and chemical potential, we
can't all vary independently

00:23:37.660 --> 00:23:38.300 align:middle line:90%
of each other.

00:23:38.300 --> 00:23:39.786 align:middle line:90%
We have these constraints.

00:23:39.786 --> 00:23:48.617 align:middle line:90%


00:23:48.617 --> 00:23:49.200 align:middle line:90%
Let's move on.

00:23:49.200 --> 00:24:12.370 align:middle line:90%


00:24:12.370 --> 00:24:14.640 align:middle line:84%
And this is really
like actuarial science.

00:24:14.640 --> 00:24:18.000 align:middle line:84%
We just keep on coming up with
these bookkeeping schemes.

00:24:18.000 --> 00:24:20.590 align:middle line:90%
And we have to stick with it.

00:24:20.590 --> 00:24:26.510 align:middle line:84%
So we're going to have something
called the mixing quantities.

00:24:26.510 --> 00:24:31.050 align:middle line:84%
So the change due
to mixing is going

00:24:31.050 --> 00:24:39.730 align:middle line:84%
to be the total quantity
in the solution minus

00:24:39.730 --> 00:24:41.620 align:middle line:84%
what you started
with before you made

00:24:41.620 --> 00:24:45.670 align:middle line:84%
the solution, the
pure components.

00:24:45.670 --> 00:24:48.710 align:middle line:90%


00:24:48.710 --> 00:24:53.120 align:middle line:84%
We talked about this last time,
that, in general, the whole

00:24:53.120 --> 00:24:57.013 align:middle line:84%
is not simply the sum of the
parts when you make a solution.

00:24:57.013 --> 00:24:58.430 align:middle line:84%
And there were
some examples given

00:24:58.430 --> 00:25:01.600 align:middle line:84%
of materials which,
for example, get

00:25:01.600 --> 00:25:04.218 align:middle line:84%
bigger than you would expect or
smaller than you would expect

00:25:04.218 --> 00:25:04.760 align:middle line:90%
and so forth.

00:25:04.760 --> 00:25:09.290 align:middle line:84%
So we're just going to
capture that change here.

00:25:09.290 --> 00:25:17.250 align:middle line:84%
And we're going to write the
total B using partial molar

00:25:17.250 --> 00:25:23.210 align:middle line:84%
properties, as we just
learned how to do, Bk n of k.

00:25:23.210 --> 00:25:26.030 align:middle line:84%
And then we're going to
introduce even more notation

00:25:26.030 --> 00:25:29.270 align:middle line:84%
and say, for the
pure components,

00:25:29.270 --> 00:25:35.160 align:middle line:90%
you had pure molar properties.

00:25:35.160 --> 00:25:39.087 align:middle line:90%


00:25:39.087 --> 00:25:40.170 align:middle line:90%
And we've got group terms.

00:25:40.170 --> 00:25:57.420 align:middle line:90%


00:25:57.420 --> 00:26:05.620 align:middle line:84%
And we're going to define
that as delta B partial molar

00:26:05.620 --> 00:26:08.850 align:middle line:90%
property due to mixing.

00:26:08.850 --> 00:26:09.350 align:middle line:90%
Oof.

00:26:09.350 --> 00:26:20.200 align:middle line:90%


00:26:20.200 --> 00:26:29.720 align:middle line:90%
Change in PMP due to mixing.

00:26:29.720 --> 00:26:32.600 align:middle line:90%
My goodness.

00:26:32.600 --> 00:26:35.300 align:middle line:90%
What is this?

00:26:35.300 --> 00:26:36.290 align:middle line:90%
Let me give an analogy.

00:26:36.290 --> 00:26:37.623 align:middle line:90%
I don't know whether this helps.

00:26:37.623 --> 00:26:42.940 align:middle line:90%


00:26:42.940 --> 00:26:46.870 align:middle line:84%
Let's imagine this
is personal space.

00:26:46.870 --> 00:26:52.900 align:middle line:84%
We're calculating here the area
occupied by a crowd of people.

00:26:52.900 --> 00:26:54.820 align:middle line:84%
And you could define
a personal space

00:26:54.820 --> 00:26:58.390 align:middle line:84%
as the exclusive area
around everybody such

00:26:58.390 --> 00:27:01.570 align:middle line:84%
that the total area is
everyone's personal space added

00:27:01.570 --> 00:27:02.360 align:middle line:90%
up.

00:27:02.360 --> 00:27:03.820 align:middle line:90%
Does that makes sense?

00:27:03.820 --> 00:27:06.340 align:middle line:90%
Imagine a crowd of people.

00:27:06.340 --> 00:27:10.510 align:middle line:84%
What this is is an
expression, acknowledgment,

00:27:10.510 --> 00:27:17.500 align:middle line:84%
that your personal
space in a given crowd

00:27:17.500 --> 00:27:21.600 align:middle line:90%
varies with the crowd.

00:27:21.600 --> 00:27:25.430 align:middle line:90%
So if you are--

00:27:25.430 --> 00:27:28.170 align:middle line:90%
let's see.

00:27:28.170 --> 00:27:32.430 align:middle line:84%
If your crowd is a
dispersal of people

00:27:32.430 --> 00:27:37.700 align:middle line:84%
in Killian Court on
a sunny day, you're

00:27:37.700 --> 00:27:39.890 align:middle line:84%
going to have a lot of
personal space per person.

00:27:39.890 --> 00:27:42.450 align:middle line:90%


00:27:42.450 --> 00:27:44.460 align:middle line:84%
It would be very,
very strange to go up

00:27:44.460 --> 00:27:47.730 align:middle line:84%
to somebody who is sitting
there, having a picnic,

00:27:47.730 --> 00:27:49.900 align:middle line:84%
and to sit so that your
shoulders are rubbing,

00:27:49.900 --> 00:27:51.150 align:middle line:90%
and you don't know the person.

00:27:51.150 --> 00:27:51.990 align:middle line:90%
Total stranger.

00:27:51.990 --> 00:27:53.550 align:middle line:84%
Killian Court's
wide open and sunny.

00:27:53.550 --> 00:27:55.342 align:middle line:84%
And you go sit with
your shoulders rubbing.

00:27:55.342 --> 00:27:57.420 align:middle line:90%
And that's the space you picked.

00:27:57.420 --> 00:28:00.810 align:middle line:90%
That would be very unusual.

00:28:00.810 --> 00:28:05.340 align:middle line:84%
But same people in a crowded
subway car or on a dance floor,

00:28:05.340 --> 00:28:10.380 align:middle line:84%
you might have a very
different personal space.

00:28:10.380 --> 00:28:12.020 align:middle line:84%
So your personal
space is not fixed

00:28:12.020 --> 00:28:16.500 align:middle line:90%
by who you are as a person.

00:28:16.500 --> 00:28:22.410 align:middle line:84%
It's determined by the
solution you find yourself in.

00:28:22.410 --> 00:28:24.480 align:middle line:84%
And different
solutions will result

00:28:24.480 --> 00:28:27.720 align:middle line:84%
in different personal
space, space per--

00:28:27.720 --> 00:28:28.710 align:middle line:90%
area per person.

00:28:28.710 --> 00:28:31.830 align:middle line:84%
And we have this
term, delta B of k,

00:28:31.830 --> 00:28:35.610 align:middle line:84%
personal property of mixing,
to capture how that changes.

00:28:35.610 --> 00:28:37.410 align:middle line:84%
So how does your
personal space change

00:28:37.410 --> 00:28:42.293 align:middle line:84%
from your ideal situation, where
you're in a field by yourself?

00:28:42.293 --> 00:28:43.710 align:middle line:84%
If you're in a
crowded subway car,

00:28:43.710 --> 00:28:48.090 align:middle line:84%
you're surrounded by a crowd
of people who you like.

00:28:48.090 --> 00:28:49.650 align:middle line:84%
Maybe your personal
space shrinks.

00:28:49.650 --> 00:28:51.750 align:middle line:84%
Or you're surrounded by a crowd
of people who you don't really

00:28:51.750 --> 00:28:52.250 align:middle line:90%
like.

00:28:52.250 --> 00:28:54.955 align:middle line:84%
Maybe your personal
space expands.

00:28:54.955 --> 00:28:56.330 align:middle line:84%
And there's going
to be analogies

00:28:56.330 --> 00:28:57.455 align:middle line:90%
for all of these in thermo.

00:28:57.455 --> 00:29:00.770 align:middle line:84%
When a molecule is surrounded
by other molecules that it likes

00:29:00.770 --> 00:29:04.400 align:middle line:84%
or that it wants to bond
with, its purse's volume

00:29:04.400 --> 00:29:06.028 align:middle line:90%
is going to shrink a little bit.

00:29:06.028 --> 00:29:08.070 align:middle line:84%
Its volume per molecule
will shrink a little bit.

00:29:08.070 --> 00:29:10.790 align:middle line:84%
And if a molecule is
surrounded by molecules

00:29:10.790 --> 00:29:14.820 align:middle line:84%
that it doesn't
want to bond with,

00:29:14.820 --> 00:29:18.356 align:middle line:84%
its partial molar volume
will expand a little bit.

00:29:18.356 --> 00:29:22.128 align:middle line:84%
So these concepts depend
on the surroundings.

00:29:22.128 --> 00:29:30.140 align:middle line:90%


00:29:30.140 --> 00:29:34.700 align:middle line:84%
So let's make this specific
again, Gibbs free energy.

00:29:34.700 --> 00:29:41.680 align:middle line:90%


00:29:41.680 --> 00:29:43.810 align:middle line:84%
The total Gibbs free
energy of a system

00:29:43.810 --> 00:29:49.200 align:middle line:84%
is equal to the sum
of partial molar Gibbs

00:29:49.200 --> 00:29:53.960 align:middle line:84%
free energy times
mole number is--

00:29:53.960 --> 00:29:56.660 align:middle line:84%
because Gibbs is special, it
has its own term, chemical

00:29:56.660 --> 00:30:00.100 align:middle line:90%
potential, times mole number.

00:30:00.100 --> 00:30:05.250 align:middle line:84%
And according to our
new bookkeeping scheme,

00:30:05.250 --> 00:30:08.700 align:middle line:84%
this is the chemical potential
of the pure stuff plus

00:30:08.700 --> 00:30:13.630 align:middle line:84%
however it changed when it
entered the solution phase.

00:30:13.630 --> 00:30:18.430 align:middle line:90%


00:30:18.430 --> 00:30:25.510 align:middle line:84%
And then we'll divide through
by the total mole count.

00:30:25.510 --> 00:30:28.390 align:middle line:84%
And we get Gibbs
free energy equals--

00:30:28.390 --> 00:30:50.470 align:middle line:90%


00:30:50.470 --> 00:31:03.730 align:middle line:84%
And again, this is the sum
of the pure components.

00:31:03.730 --> 00:31:11.740 align:middle line:90%


00:31:11.740 --> 00:31:21.200 align:middle line:84%
And this is change,
the change upon mixing.

00:31:21.200 --> 00:31:29.960 align:middle line:90%


00:31:29.960 --> 00:31:31.070 align:middle line:90%
We have two more slides.

00:31:31.070 --> 00:31:32.737 align:middle line:84%
And we're going to
get to the very, very

00:31:32.737 --> 00:31:36.655 align:middle line:84%
useful graphical
interpretation of all this.

00:31:36.655 --> 00:31:38.030 align:middle line:84%
How do we calculate
these things?

00:31:38.030 --> 00:31:49.990 align:middle line:90%


00:31:49.990 --> 00:31:53.800 align:middle line:84%
So you're to do a little
bit of this on the p set.

00:31:53.800 --> 00:32:00.950 align:middle line:84%
So we're going to do the
case of chemical potential

00:32:00.950 --> 00:32:08.020 align:middle line:84%
in a binary system,
binary system.

00:32:08.020 --> 00:32:12.190 align:middle line:84%
So binary system--
delta G due to mixing

00:32:12.190 --> 00:32:20.700 align:middle line:84%
equals delta mu of 1 X1
plus delta mu of 2 X2.

00:32:20.700 --> 00:32:22.470 align:middle line:90%
And you have two components.

00:32:22.470 --> 00:32:23.730 align:middle line:90%
That's good.

00:32:23.730 --> 00:32:27.480 align:middle line:90%
And so this gets--

00:32:27.480 --> 00:32:30.480 align:middle line:84%
you really have to know your
d's of thermodynamics here.

00:32:30.480 --> 00:32:33.170 align:middle line:90%


00:32:33.170 --> 00:32:36.590 align:middle line:84%
The change of the
Gibbs free energy

00:32:36.590 --> 00:32:41.730 align:middle line:84%
of mixing for fixed pressure
and temperature as a system

00:32:41.730 --> 00:32:42.615 align:middle line:90%
composition varies.

00:32:42.615 --> 00:32:54.520 align:middle line:90%


00:32:54.520 --> 00:32:57.190 align:middle line:84%
So again, the change of
the Gibbs free energy

00:32:57.190 --> 00:33:00.850 align:middle line:84%
of mixing at fixed pressure
and temperature as a new system

00:33:00.850 --> 00:33:01.690 align:middle line:90%
composition varies.

00:33:01.690 --> 00:33:10.060 align:middle line:90%


00:33:10.060 --> 00:33:11.230 align:middle line:90%
What about the chain rule?

00:33:11.230 --> 00:33:17.640 align:middle line:90%


00:33:17.640 --> 00:33:26.320 align:middle line:84%
Well, that thing
equals 0 if I give 2n.

00:33:26.320 --> 00:33:28.450 align:middle line:84%
So I'm left with
these two terms here.

00:33:28.450 --> 00:33:33.340 align:middle line:84%
And then I'm going
to use X1 plus X2

00:33:33.340 --> 00:33:36.490 align:middle line:90%
equals 1, which means what?

00:33:36.490 --> 00:33:39.700 align:middle line:90%
d X1 equals minus d X2.

00:33:39.700 --> 00:33:41.350 align:middle line:90%
It's a binary system.

00:33:41.350 --> 00:33:44.780 align:middle line:84%
So there's only one
composition variable.

00:33:44.780 --> 00:33:48.480 align:middle line:90%
And get the following.

00:33:48.480 --> 00:33:55.770 align:middle line:90%
D dT G dT delta G mix d X2.

00:33:55.770 --> 00:33:59.310 align:middle line:84%
I chose X2 here as my
independent variable.

00:33:59.310 --> 00:34:02.400 align:middle line:84%
At fixed pressure
and temperature

00:34:02.400 --> 00:34:11.070 align:middle line:84%
equals delta mu of 2
minus delta mu of 1.

00:34:11.070 --> 00:34:16.120 align:middle line:90%


00:34:16.120 --> 00:34:26.200 align:middle line:84%
And then I'm going to eliminate
delta mu of 1 using the above.

00:34:26.200 --> 00:34:29.840 align:middle line:90%


00:34:29.840 --> 00:34:32.290 align:middle line:90%
What's the above?

00:34:32.290 --> 00:34:33.100 align:middle line:90%
That's the above.

00:34:33.100 --> 00:34:35.679 align:middle line:90%


00:34:35.679 --> 00:34:37.420 align:middle line:90%
And I get the following.

00:34:37.420 --> 00:34:52.610 align:middle line:84%
Delta mu of 2 equals delta
G mix plus 1 minus X2 d

00:34:52.610 --> 00:34:57.600 align:middle line:90%
delta G mix d X2.

00:34:57.600 --> 00:35:00.170 align:middle line:90%


00:35:00.170 --> 00:35:02.045 align:middle line:84%
And believe it or not,
this is really useful.

00:35:02.045 --> 00:35:06.730 align:middle line:90%


00:35:06.730 --> 00:35:16.450 align:middle line:90%
And likewise for delta mu of 1.

00:35:16.450 --> 00:35:19.450 align:middle line:84%
And let me just show
you why for each one,

00:35:19.450 --> 00:35:21.070 align:middle line:84%
and we can come
back for questions.

00:35:21.070 --> 00:35:24.725 align:middle line:84%
It's really useful because we
have a graphical interpretation

00:35:24.725 --> 00:35:25.225 align:middle line:90%
of this.

00:35:25.225 --> 00:35:32.650 align:middle line:90%


00:35:32.650 --> 00:35:43.750 align:middle line:84%
Graphical interpretation of
PMPs using solution models.

00:35:43.750 --> 00:35:53.130 align:middle line:90%


00:35:53.130 --> 00:36:07.190 align:middle line:84%
So we're going to do this for
a case of delta G mix and delta

00:36:07.190 --> 00:36:07.970 align:middle line:90%
and delta mu k.

00:36:07.970 --> 00:36:10.098 align:middle line:90%
So let's draw a plot.

00:36:10.098 --> 00:36:11.390 align:middle line:90%
I'll show you what I mean here.

00:36:11.390 --> 00:36:32.100 align:middle line:90%


00:36:32.100 --> 00:36:33.100 align:middle line:90%
Here's a solution model.

00:36:33.100 --> 00:36:34.280 align:middle line:90%
I'm just going to draw anything.

00:36:34.280 --> 00:36:35.072 align:middle line:90%
I'm going to draw--

00:36:35.072 --> 00:36:36.610 align:middle line:84%
imagine someone
gave you this data,

00:36:36.610 --> 00:36:41.475 align:middle line:84%
or you figured this out
yourself, something like that.

00:36:41.475 --> 00:36:42.475 align:middle line:90%
Here's a solution model.

00:36:42.475 --> 00:36:45.730 align:middle line:90%


00:36:45.730 --> 00:36:46.570 align:middle line:90%
Something.

00:36:46.570 --> 00:36:50.335 align:middle line:84%
It's some trend of
thermodynamics with what?

00:36:50.335 --> 00:36:53.780 align:middle line:90%
With system composition.

00:36:53.780 --> 00:36:54.460 align:middle line:90%
So this is X2.

00:36:54.460 --> 00:36:58.170 align:middle line:90%


00:36:58.170 --> 00:37:00.430 align:middle line:90%
So we have some solution model.

00:37:00.430 --> 00:37:04.188 align:middle line:84%
And we're going to
imagine sitting here at--

00:37:04.188 --> 00:37:05.126 align:middle line:90%
let's see.

00:37:05.126 --> 00:37:08.410 align:middle line:90%


00:37:08.410 --> 00:37:12.000 align:middle line:84%
Let's imagine sitting
here at this composition.

00:37:12.000 --> 00:37:16.515 align:middle line:90%


00:37:16.515 --> 00:37:18.390 align:middle line:84%
Let me just go ahead
and draw these tangents,

00:37:18.390 --> 00:37:20.223 align:middle line:84%
and then we'll come
back to why they matter.

00:37:20.223 --> 00:37:23.310 align:middle line:90%


00:37:23.310 --> 00:37:26.520 align:middle line:84%
So there's a point on the
curve and my overall system

00:37:26.520 --> 00:37:28.490 align:middle line:90%
composition.

00:37:28.490 --> 00:37:32.500 align:middle line:84%
This intercept here
I'm going to label.

00:37:32.500 --> 00:37:42.580 align:middle line:84%
This label, this over here,
and also label this over here.

00:37:42.580 --> 00:37:44.020 align:middle line:90%
I'm going to label.

00:37:44.020 --> 00:38:00.390 align:middle line:84%
I'm going to give these
number labels P, S, R, and Q.

00:38:00.390 --> 00:38:03.810 align:middle line:90%
So here's my system composition.

00:38:03.810 --> 00:38:09.070 align:middle line:90%


00:38:09.070 --> 00:38:11.060 align:middle line:90%
Here's my system composition.

00:38:11.060 --> 00:38:19.330 align:middle line:84%
There's a tangent
line, the tangent line.

00:38:19.330 --> 00:38:23.425 align:middle line:90%
And we have a solution model.

00:38:23.425 --> 00:38:32.540 align:middle line:90%


00:38:32.540 --> 00:38:42.970 align:middle line:84%
So delta G mix is just at
the height of this curve,

00:38:42.970 --> 00:38:45.300 align:middle line:90%
is this QR.

00:38:45.300 --> 00:38:48.270 align:middle line:90%


00:38:48.270 --> 00:38:54.850 align:middle line:84%
That's that length, the
curve evaluated at P.

00:38:54.850 --> 00:39:05.640 align:middle line:90%
Quantity 1 minus X2 equals PR.

00:39:05.640 --> 00:39:08.900 align:middle line:90%


00:39:08.900 --> 00:39:09.920 align:middle line:90%
It's just that length.

00:39:09.920 --> 00:39:12.760 align:middle line:90%


00:39:12.760 --> 00:39:21.190 align:middle line:84%
And the slope, d
delta G mix d X2.

00:39:21.190 --> 00:39:22.360 align:middle line:90%
Rise over run.

00:39:22.360 --> 00:39:26.620 align:middle line:90%
So the rise is RS.

00:39:26.620 --> 00:39:28.150 align:middle line:90%
And the run is PR.

00:39:28.150 --> 00:39:32.380 align:middle line:90%


00:39:32.380 --> 00:39:36.190 align:middle line:84%
And so I'm going to
plug these geometries

00:39:36.190 --> 00:39:39.505 align:middle line:84%
into the expression, which we
derived on the previous slide.

00:39:39.505 --> 00:39:50.460 align:middle line:84%
And you have QR plus
PR times RS over PR.

00:39:50.460 --> 00:39:53.610 align:middle line:84%
And this length segments
cancel each other.

00:39:53.610 --> 00:39:59.310 align:middle line:84%
And you get QR plus
RS, so this distance

00:39:59.310 --> 00:40:04.960 align:middle line:84%
plus this distance, which,
of course, equals QS.

00:40:04.960 --> 00:40:07.500 align:middle line:90%


00:40:07.500 --> 00:40:09.400 align:middle line:90%
What does that mean?

00:40:09.400 --> 00:40:31.340 align:middle line:84%
It means that this point here,
this intercept, is delta mu 2.

00:40:31.340 --> 00:40:36.610 align:middle line:90%


00:40:36.610 --> 00:40:45.780 align:middle line:90%
And likewise for delta mu 1.

00:40:45.780 --> 00:40:51.460 align:middle line:84%
You have just over
here is delta mu 1.

00:40:51.460 --> 00:40:54.220 align:middle line:90%
So right.

00:40:54.220 --> 00:40:59.410 align:middle line:84%
That means if we have a solution
model, some data, some curve,

00:40:59.410 --> 00:41:01.750 align:middle line:84%
if we draw the
tangent to that, we

00:41:01.750 --> 00:41:03.640 align:middle line:84%
can pick out the
partial molar properties

00:41:03.640 --> 00:41:06.580 align:middle line:84%
of component 1, component
2, by the intercept

00:41:06.580 --> 00:41:10.630 align:middle line:84%
of the tangent on the left-hand
axis and the right-hand axis.

00:41:10.630 --> 00:41:13.820 align:middle line:90%


00:41:13.820 --> 00:41:19.100 align:middle line:84%
And so that's where I'm
going to leave it for today.

00:41:19.100 --> 00:41:21.140 align:middle line:84%
Either this is
kind of mysterious

00:41:21.140 --> 00:41:24.410 align:middle line:84%
and wasn't worth the
effort, in which case

00:41:24.410 --> 00:41:27.060 align:middle line:90%
I would ask you just to hold on.

00:41:27.060 --> 00:41:29.910 align:middle line:84%
Or it now it starts
to make sense

00:41:29.910 --> 00:41:32.280 align:middle line:84%
if you've seen
the common tangent

00:41:32.280 --> 00:41:34.510 align:middle line:84%
construction before,
in which case,

00:41:34.510 --> 00:41:38.040 align:middle line:84%
I'll say, all right,
well, we'll get there.

00:41:38.040 --> 00:41:39.800 align:middle line:90%
Right.

00:41:39.800 --> 00:41:43.420 align:middle line:84%
So this was a bunch of math
around solution modeling.

00:41:43.420 --> 00:41:46.000 align:middle line:90%