WEBVTT

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[SQUEAKING]

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[RUSTLING]

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[CLICKING]

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PROFESSOR: So let's finish our
discussion of the Hahn-Banach

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Theorem.

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Let me just recall.

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This was the theorem that
stated, that if v is norm space,

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m is a vector--

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or is a subspace of v.

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And u is a bounded
linear functional on m.

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So it's a linear map that also
satisfies for all t and m, u

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of t, and absolute value is--

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or the modulus of
u of t is less than

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or equal to a constant
times norm of t.

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Then there exists a
bounded linear functional

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on the whole space,
which extends it.

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So that there
exists a capital U,

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so that when U is restricted
to m this gives me little u.

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And it's extended
continuously in the sense

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that it satisfies the same
bound that little u does.

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Now for all t and v.
u of t is less than

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or equal to a constant
times the norm of t.

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So last time, we went
through the proof

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of this using Zorn's
lemma and the lemma

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that we ran up against
at the end of class.

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Which, when writing my
notes for the lecture,

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I got a little bit
flippant towards the end

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and made a little small error.

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Which can be
remedied if you just

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look at the lecture notes,
which I have online.

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Or if you look at
Richard's lecture notes

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just for the very end of
concluding that Lemma we needed.

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So minus epsilon, we proved
the Hahn-Banach Theorem.

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You can fill in the epsilon
by just looking at the notes.

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But the proof of the Hahn-Banach
Theorem is not the point.

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It's not the main point.

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It's important to know it,
or at least have seen it,

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but what is important
is it as a tool.

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And I mentioned last
time, one application

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is to show that the
dual of little l

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infinity is not little l1.

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Another application
is the following is,

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so v is going to
be a norm space.

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Then for all v and
t, take away 0.

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There exists a bounded
linear functional

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and element of the dual
space such that the norm of f

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equals 1.

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And f of v gives
me the norm of v.

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So there is a bounded
linear functional

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that, when you apply it to
v, you get the norm of v.

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And we'll use this just in
a second to say something

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a little bit deeper about
the relation between the dual

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and then taking
the dual of that.

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But let's prove
this simple theorem.

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So first, I define.

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So I have a little v
that's non-0 in the space,

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and I define a bounded
linear-- or a linear map

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from the span of v
to c by u of lambda v

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equals lambda times
the norm of v.

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Now, every element that's
a scalar multiple of v

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can be written uniquely as this.

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So this function
is well-defined,

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and it's clear that it's
linear because linearity

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is occurring in lambda.

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v is fixed.

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Remember?

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So, in particular,
I get that u of t

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is less than or equal to u--

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to the norm of t for all t in
the span of this fixed vector v.

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And you have one-- or I should
say, u of v, which, remember,

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is just a--

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So this is equal to just
1 times the norm of v.

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It gives me norm of v.

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And so, then, by the
Hahn-Banach Theorem,

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there exists an f element
of the dual extending u.

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Such that now, for all t
and v, f of t and modulus

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is less than or equal
to the norm of t.

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And in particular.

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So since it extends, u must
have equals the norm of v.

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And by that inequality over
there, the norm of little f

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must be less than or equal to 1.

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Well, first, let me finish with
what this inequality tells you.

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This tells you that--

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So since f of t is less than
or equal to t for all t and v,

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this implies that
the norm of f--

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Which, remember, is the sup
of f of t with t unit length.

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It must be less
than or equal to 1.

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But I have that 1
is equal to f of b

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over norm of b, which
must be less than

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or equal to the norm of f.

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And, therefore, the
norm of f equals 1.

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So f is this desired, continuous
linear functional on v

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that, when it hits
v, little v, it

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spits out the norm of little v.

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The double dual of a space is--

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if you can take the
dual of a space,

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you can take the
dual of that space.

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The double dual
of a norm space v

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is, by definition, we
denote it by v double prime.

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This is the dual of the
dual of v. So, remember,

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the prime is the space of
bounded linear functionals on v.

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And so, then, v double
prime is the space

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of bounded linear
functionals on the space

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of bounded linear
functionals of v.

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Now, let me just give
you an example of--

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so, a quick little example
of an element that you can

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associate in v double prime.

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Fix an element in
capital V and define.

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Now, let's call it something.

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Let's call it t
of v. So this will

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be an element of the dual
space of v prime in the end.

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But t sub v by--

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So this thing has to eat an
element of the dull space

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and spit out a number.

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Now, think about the two
pieces of data I have here.

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I have some fixed
little v and capital V,

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and I would like to
use that to define

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some bounded linear
functional on capital V prime.

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Now, capital V prime eats
elements of capital V.

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So I can define a map
from V prime to C by that.

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Then I claim that T of V is
an element of the double dual.

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So the dual space of V prime.

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And why is that?

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So first off, it has to
be linear in the argument.

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So little v prime is
in capital V prime.

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It has to be linear in
the argument V prime.

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And this is clear.

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So remember, little v is fixed.

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So if I take a
linear combination

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of two elements of
capital V prime,

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then this expression is
clearly linear in V prime.

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So T sub V is linear clearly.

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Now we just need to
check that it's bounded.

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And if I take--

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so T sub v is linear.

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This is a check.

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Just how we talk through it.

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And T sub v is bounded because
if we take T sub v of v prime,

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if we take its modulus,
this is by definition

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equal to v prime of v.

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Now, v prime is a bounded
linear functional on v.

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So this is less than or equal
to the norm of v prime times

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the norm of v. And in fact,
let me write it this way.

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Norm of v, v prime.

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So we've shown that this
linear operator from v

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prime to C in modulus is
bounded by this constant times

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the norm of v prime.

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And therefore, we
conclude that T of v--

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or T sub v is in the dual
of V prime, the double dual.

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And the norm of this as an
operator going from v prime

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to C, which we've just shown,
is bounded by this constant.

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Remember, the operator
norm is the best constant

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that appears here.

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And therefore, this is
less than or equal to that.

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So we've shown that
every element of v,

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we can associate an element of
the double dual, the dual space

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of the dual space,
via this relation.

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So an element of
v can be defined

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as an element of v
double prime by letting

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it act on v prime by
this formula here.

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But we can say a
little bit more.

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And let me just introduce
some terminology.

00:14:13.330 --> 00:14:26.430 align:middle line:84%
Let v be in capital V. Or,
no, I'm not quite there.

00:14:26.430 --> 00:14:30.330 align:middle line:90%


00:14:30.330 --> 00:14:43.460 align:middle line:84%
If V and W are normed
spaces, then we

00:14:43.460 --> 00:14:49.790 align:middle line:84%
say that a bounded linear
operator from V to W

00:14:49.790 --> 00:14:54.900 align:middle line:90%
is isometric.

00:14:54.900 --> 00:14:57.470 align:middle line:84%
So isometric meaning
doesn't change length,

00:14:57.470 --> 00:15:00.800 align:middle line:90%
doesn't change distances.

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If for all v and capital
V the length of T of V

00:15:09.860 --> 00:15:18.920 align:middle line:90%
is equal to the length of V.

00:15:18.920 --> 00:15:26.270 align:middle line:84%
And now, the next theorem is
that this map, this relation

00:15:26.270 --> 00:15:29.630 align:middle line:84%
I've given between elements
of v and the double dual

00:15:29.630 --> 00:15:32.950 align:middle line:90%
is, in fact isometric.

00:15:32.950 --> 00:15:39.460 align:middle line:90%


00:15:39.460 --> 00:15:54.350 align:middle line:84%
So let v be in V. And as before,
define T sub v as the map from v

00:15:54.350 --> 00:16:03.930 align:middle line:84%
prime to C via T sub v needs
to be elements of the dual.

00:16:03.930 --> 00:16:08.270 align:middle line:84%
So you can spit out numbers
so it's defined in this way.

00:16:08.270 --> 00:16:14.930 align:middle line:90%


00:16:14.930 --> 00:16:25.440 align:middle line:84%
Then the map T from
V to V double prime,

00:16:25.440 --> 00:16:36.880 align:middle line:84%
where this map T is taking V
to T little v is isometric.

00:16:36.880 --> 00:16:41.910 align:middle line:90%


00:16:41.910 --> 00:16:46.460 align:middle line:84%
So it's a bounded
linear operator from V

00:16:46.460 --> 00:16:47.780 align:middle line:90%
to its double dual.

00:16:47.780 --> 00:16:52.070 align:middle line:84%
And the length of
a vector in v is

00:16:52.070 --> 00:16:56.180 align:middle line:84%
same as the length of its
image in the double dual.

00:16:56.180 --> 00:16:59.510 align:middle line:84%
Which is the length
in the double dual

00:16:59.510 --> 00:17:01.415 align:middle line:84%
is defined in terms
of the operator norm.

00:17:01.415 --> 00:17:04.960 align:middle line:90%


00:17:04.960 --> 00:17:10.780 align:middle line:84%
So we've done basically
all of the work when

00:17:10.780 --> 00:17:12.260 align:middle line:90%
I was discussing the example.

00:17:12.260 --> 00:17:33.740 align:middle line:84%
So we've shown already
that the map v to T of v,

00:17:33.740 --> 00:17:40.010 align:middle line:84%
this is a bounded
linear operator from v

00:17:40.010 --> 00:17:41.100 align:middle line:90%
to v double prime.

00:17:41.100 --> 00:17:43.400 align:middle line:84%
So we showed it's
bounded, namely

00:17:43.400 --> 00:17:45.290 align:middle line:90%
that the image is bounded by--

00:17:45.290 --> 00:17:51.680 align:middle line:84%
or the norm of the image is
bounded by the norm of v.

00:17:51.680 --> 00:17:54.470 align:middle line:84%
But it's also clear that
this is linear in little v.

00:17:54.470 --> 00:17:57.320 align:middle line:84%
So a minute ago, we showed
it's linear in v prime.

00:17:57.320 --> 00:18:02.000 align:middle line:84%
But it's also linear in v.
Because for each fixed v prime,

00:18:02.000 --> 00:18:07.280 align:middle line:84%
this is linear in v.
So this is a bounded--

00:18:07.280 --> 00:18:12.140 align:middle line:84%
this map from v taking you
to this element in T of v,

00:18:12.140 --> 00:18:15.590 align:middle line:84%
this is a bounded
linear operator from v

00:18:15.590 --> 00:18:18.180 align:middle line:90%
to v double prime.

00:18:18.180 --> 00:18:21.830 align:middle line:84%
So what's left is to
show that it's isometric.

00:18:21.830 --> 00:18:25.500 align:middle line:90%


00:18:25.500 --> 00:18:36.460 align:middle line:84%
So we've shown this and that the
norm of the image in the double

00:18:36.460 --> 00:18:40.510 align:middle line:84%
dual is less than or
equal to the norm of v.

00:18:40.510 --> 00:18:43.630 align:middle line:84%
Now to show it's isometric, we
must show that the norm of v

00:18:43.630 --> 00:18:45.340 align:middle line:90%
equals T of v.

00:18:45.340 --> 00:18:55.020 align:middle line:84%
So by the theorem we
just proved a minute ago,

00:18:55.020 --> 00:19:13.780 align:middle line:84%
so first off, so as in the
statement of the theorem,

00:19:13.780 --> 00:19:20.100 align:middle line:84%
let me denote this
map by this is T.

00:19:20.100 --> 00:19:27.540 align:middle line:84%
So we've shown that the norm of
T is less than or equal to 1.

00:19:27.540 --> 00:19:31.140 align:middle line:84%
Because we've shown that
the norm of the image

00:19:31.140 --> 00:19:35.730 align:middle line:84%
is always less than or equal
to the norm of the input.

00:19:35.730 --> 00:19:38.100 align:middle line:84%
And now to show that it's
isometric we just need

00:19:38.100 --> 00:19:39.585 align:middle line:90%
to show the norm of T equals 1.

00:19:39.585 --> 00:19:50.970 align:middle line:90%


00:19:50.970 --> 00:19:56.760 align:middle line:90%
So let v be in v non-zero.

00:19:56.760 --> 00:20:03.370 align:middle line:90%


00:20:03.370 --> 00:20:05.005 align:middle line:90%
with norm v equal to 1.

00:20:05.005 --> 00:20:21.630 align:middle line:90%


00:20:21.630 --> 00:20:26.820 align:middle line:84%
Well, so I just said something
really stupid a minute ago.

00:20:26.820 --> 00:20:31.420 align:middle line:84%
Let me go back to what I had
written down there a minute ago.

00:20:31.420 --> 00:20:36.030 align:middle line:84%
So not that-- so
remember, we're trying

00:20:36.030 --> 00:20:40.290 align:middle line:84%
to show not that the norm is one
but that the norm of the image

00:20:40.290 --> 00:20:42.920 align:middle line:84%
is equal to the
norm of the input.

00:20:42.920 --> 00:20:47.460 align:middle line:84%
I got backwards there
for a minute, sorry.

00:20:47.460 --> 00:20:52.800 align:middle line:84%
And the norm of the
image is less than

00:20:52.800 --> 00:20:55.217 align:middle line:84%
or equal to the
norm of the input.

00:20:55.217 --> 00:20:57.300 align:middle line:84%
So now we just want to
show the reverse inequality

00:20:57.300 --> 00:21:12.490 align:middle line:84%
for all little v in capital V.
Now we show all v in capital V,

00:21:12.490 --> 00:21:18.908 align:middle line:84%
T of v is equal to
the length of v.

00:21:18.908 --> 00:21:20.700 align:middle line:84%
And to do that, we use
this theorem we just

00:21:20.700 --> 00:21:22.330 align:middle line:90%
proved a minute ago.

00:21:22.330 --> 00:21:26.250 align:middle line:90%
So this is clear if v is 0.

00:21:26.250 --> 00:21:33.460 align:middle line:84%
So suppose v is
non-zero, then there

00:21:33.460 --> 00:21:40.900 align:middle line:84%
exists an element of the dual
space by the previous theorem

00:21:40.900 --> 00:21:55.960 align:middle line:84%
such that the norm of f equals 1
and f of v equals the norm of v.

00:21:55.960 --> 00:22:03.270 align:middle line:84%
Then the norm of v
is equal to f of v.

00:22:03.270 --> 00:22:07.970 align:middle line:84%
And I can even put
modulus on that.

00:22:07.970 --> 00:22:10.430 align:middle line:84%
And this is less
than or equal to

00:22:10.430 --> 00:22:12.740 align:middle line:90%
though, thinking of this as a--

00:22:12.740 --> 00:22:23.390 align:middle line:90%


00:22:23.390 --> 00:22:25.970 align:middle line:84%
so now thinking of
this as an operator

00:22:25.970 --> 00:22:29.990 align:middle line:84%
from bounded linear
functional, so [INAUDIBLE],

00:22:29.990 --> 00:22:32.090 align:middle line:84%
so as an element of the
dual this is less than

00:22:32.090 --> 00:22:38.480 align:middle line:84%
or equal to the norm of T
sub v times the norm of f.

00:22:38.480 --> 00:22:46.109 align:middle line:90%


00:22:46.109 --> 00:22:48.480 align:middle line:90%
And now the norm of f is 1.

00:22:48.480 --> 00:22:54.000 align:middle line:84%
So this is equal to the norm
of T sub v. And therefore,

00:22:54.000 --> 00:22:58.560 align:middle line:84%
v, the norm of v, is less than
or equal to the norm of T sub v.

00:22:58.560 --> 00:23:02.610 align:middle line:84%
And since I already had
the reverse inequality,

00:23:02.610 --> 00:23:11.980 align:middle line:84%
I conclude that the norm of
T sub v equals the norm of v.

00:23:11.980 --> 00:23:20.770 align:middle line:84%
And thus, this map going from
v to v, to the double dual of v

00:23:20.770 --> 00:23:23.860 align:middle line:84%
described this way is,
in fact, isometric.

00:23:23.860 --> 00:23:26.695 align:middle line:84%
It's a bounded linear
operator that preserves links.

00:23:26.695 --> 00:23:30.990 align:middle line:90%


00:23:30.990 --> 00:23:32.940 align:middle line:90%
Now we have a special name.

00:23:32.940 --> 00:23:38.790 align:middle line:84%
So first off, it should be clear
that isometric bounded linear

00:23:38.790 --> 00:23:41.340 align:middle line:90%
operators are one to one.

00:23:41.340 --> 00:23:44.340 align:middle line:84%
So for something to be one to
one for a linear operator, that

00:23:44.340 --> 00:23:47.520 align:middle line:84%
means the only thing
that gets sent to 0 is 0.

00:23:47.520 --> 00:23:53.820 align:middle line:84%
And from this equality here
we have that if this equals 0,

00:23:53.820 --> 00:23:56.100 align:middle line:90%
then the vector had to be 0.

00:23:56.100 --> 00:24:02.860 align:middle line:84%
So isometric bounded linear
operators are always one to one.

00:24:02.860 --> 00:24:05.400 align:middle line:84%
So what this
theorem tells you is

00:24:05.400 --> 00:24:09.210 align:middle line:84%
that this map
defined in this way

00:24:09.210 --> 00:24:15.480 align:middle line:84%
gives you a isometric injection
from v to v double prime,

00:24:15.480 --> 00:24:18.790 align:middle line:90%
from v to its double dual.

00:24:18.790 --> 00:24:24.150 align:middle line:84%
So I have this map that goes
into the double dual that's

00:24:24.150 --> 00:24:29.630 align:middle line:84%
isometric, meaning it
doesn't change distances.

00:24:29.630 --> 00:24:30.800 align:middle line:90%
Is it onto?

00:24:30.800 --> 00:24:35.540 align:middle line:84%
Is the double dual always equal
to the original space itself?

00:24:35.540 --> 00:24:38.750 align:middle line:84%
So we have a name for
spaces that satisfy that.

00:24:38.750 --> 00:24:43.360 align:middle line:90%


00:24:43.360 --> 00:24:59.780 align:middle line:84%
So a Banach space V is
reflexive if using--

00:24:59.780 --> 00:25:00.980 align:middle line:90%
if this map is onto.

00:25:00.980 --> 00:25:04.320 align:middle line:90%


00:25:04.320 --> 00:25:12.010 align:middle line:84%
If V equals v double
prime, in the sense

00:25:12.010 --> 00:25:18.100 align:middle line:84%
that this map taking
element of capital V

00:25:18.100 --> 00:25:25.570 align:middle line:84%
to an element of the double dual
that, as we defined earlier,

00:25:25.570 --> 00:25:28.210 align:middle line:90%
is onto.

00:25:28.210 --> 00:25:33.270 align:middle line:90%


00:25:33.270 --> 00:25:43.590 align:middle line:84%
Now for example, and
you can check that.

00:25:43.590 --> 00:25:45.750 align:middle line:84%
This may seem like
abstract stuff.

00:25:45.750 --> 00:25:51.060 align:middle line:84%
But for little lp
spaces, this letting

00:25:51.060 --> 00:25:56.100 align:middle line:84%
the dual space eat a vector
or whatever, remember,

00:25:56.100 --> 00:25:58.800 align:middle line:84%
we identify the dual
space of little lp

00:25:58.800 --> 00:26:03.900 align:middle line:84%
with little lq, where 1 over
p plus 1 over q equals 1.

00:26:03.900 --> 00:26:16.070 align:middle line:84%
So little lp is reflexive
for p between 1 and infinity

00:26:16.070 --> 00:26:20.000 align:middle line:84%
because the dual of
little lp is going

00:26:20.000 --> 00:26:24.110 align:middle line:84%
to be little lq, where 1 over
p plus 1 over q equals 1.

00:26:24.110 --> 00:26:26.930 align:middle line:90%
And the dual of 1 over--

00:26:26.930 --> 00:26:30.290 align:middle line:84%
of little lq is going to
be a little lp as long as q

00:26:30.290 --> 00:26:32.570 align:middle line:90%
is between 1 and infinity.

00:26:32.570 --> 00:26:36.560 align:middle line:84%
There is that one case
where the dual is not given

00:26:36.560 --> 00:26:39.610 align:middle line:90%
by what you think it should be.

00:26:39.610 --> 00:26:44.370 align:middle line:90%
So little l1 is not reflexive.

00:26:44.370 --> 00:26:48.610 align:middle line:90%


00:26:48.610 --> 00:26:55.840 align:middle line:84%
Since if I take a look
at the dual of little l1,

00:26:55.840 --> 00:27:04.450 align:middle line:84%
so this should be 1, this
is equal to l infinity.

00:27:04.450 --> 00:27:09.280 align:middle line:84%
And as you'll show in the
homework, the dual of little l

00:27:09.280 --> 00:27:12.670 align:middle line:84%
infinity is not
equal to little l1.

00:27:12.670 --> 00:27:14.800 align:middle line:84%
So the dual of the
dual is not going

00:27:14.800 --> 00:27:18.115 align:middle line:84%
to give you back the
space you started with.

00:27:18.115 --> 00:27:21.890 align:middle line:90%


00:27:21.890 --> 00:27:24.800 align:middle line:84%
And I don't know if I'm going
to put this in the assignment

00:27:24.800 --> 00:27:28.730 align:middle line:90%
or eventually on a midterm.

00:27:28.730 --> 00:27:30.800 align:middle line:84%
The space C0,
which was the space

00:27:30.800 --> 00:27:34.460 align:middle line:84%
of all sequences converging to
0, this is not reflexive either.

00:27:34.460 --> 00:27:39.490 align:middle line:90%


00:27:39.490 --> 00:27:46.000 align:middle line:84%
The reason is because you can,
in fact, identify the dual of C0

00:27:46.000 --> 00:27:47.062 align:middle line:90%
with little l1.

00:27:47.062 --> 00:27:49.590 align:middle line:90%


00:27:49.590 --> 00:27:58.740 align:middle line:84%
And the dual of little
l1 is little L infinity.

00:27:58.740 --> 00:28:01.110 align:middle line:90%
Which does not equal C0.

00:28:01.110 --> 00:28:04.910 align:middle line:90%


00:28:04.910 --> 00:28:09.590 align:middle line:84%
So this also, you can
see how the space is

00:28:09.590 --> 00:28:13.550 align:middle line:90%
a subspace of the double dual.

00:28:13.550 --> 00:28:17.300 align:middle line:84%
The space of all
sequences converging

00:28:17.300 --> 00:28:23.330 align:middle line:84%
to 0, that's a subspace of the
space of all bounded sequences.

00:28:23.330 --> 00:28:30.970 align:middle line:84%
So you see this, I shouldn't
say by hand, but OK, by hand,

00:28:30.970 --> 00:28:33.430 align:middle line:90%
that the original space--

00:28:33.430 --> 00:28:37.150 align:middle line:84%
forget this prime-- is a
subspace of the double dual

00:28:37.150 --> 00:28:39.280 align:middle line:84%
which in this case
is little infinity.

00:28:39.280 --> 00:28:48.500 align:middle line:90%


00:28:48.500 --> 00:28:56.900 align:middle line:84%
So that concludes
the general stuff

00:28:56.900 --> 00:29:00.040 align:middle line:90%
about Banach spaces for now.

00:29:00.040 --> 00:29:01.540 align:middle line:84%
And we're going to
turn to Lebesgue

00:29:01.540 --> 00:29:04.420 align:middle line:90%
measure and integration.

00:29:04.420 --> 00:29:09.600 align:middle line:84%
Because so we've been talking
about little lp spaces.

00:29:09.600 --> 00:29:11.320 align:middle line:90%
These are spaces of sequences.

00:29:11.320 --> 00:29:15.570 align:middle line:84%
And so you might think, well,
maybe we can define big LP

00:29:15.570 --> 00:29:20.460 align:middle line:84%
spaces to be, let's say,
Riemann integral functions whose

00:29:20.460 --> 00:29:22.950 align:middle line:84%
p'th power is integrable
or something like that.

00:29:22.950 --> 00:29:28.240 align:middle line:84%
Just how these are
p'th power summable.

00:29:28.240 --> 00:29:42.420 align:middle line:84%
So moving on now to Lebesgue
measure and integration.

00:29:42.420 --> 00:29:50.020 align:middle line:90%


00:29:50.020 --> 00:29:51.220 align:middle line:90%
Missing a letter there.

00:29:51.220 --> 00:29:55.760 align:middle line:90%


00:29:55.760 --> 00:29:58.280 align:middle line:84%
Now, why the Lebesgue
measure and integration,

00:29:58.280 --> 00:30:02.120 align:middle line:84%
why not just stick to
Riemann integration?

00:30:02.120 --> 00:30:04.080 align:middle line:90%
There's a couple of reasons.

00:30:04.080 --> 00:30:08.210 align:middle line:84%
One is Lebesgue
integration has much

00:30:08.210 --> 00:30:09.770 align:middle line:90%
better convergence theorems.

00:30:09.770 --> 00:30:14.330 align:middle line:84%
So you only have really
one convergence theorem

00:30:14.330 --> 00:30:19.040 align:middle line:84%
for Riemann integration, which
is the uniform limit of Riemann

00:30:19.040 --> 00:30:21.110 align:middle line:84%
integrable functions
is Riemann integrable.

00:30:21.110 --> 00:30:25.850 align:middle line:84%
And the integral of the limits
is the limit of the integrals.

00:30:25.850 --> 00:30:29.850 align:middle line:90%


00:30:29.850 --> 00:30:33.240 align:middle line:84%
But there are much
better limit theorems.

00:30:33.240 --> 00:30:36.270 align:middle line:84%
And in the sense that
they're more useful,

00:30:36.270 --> 00:30:41.580 align:middle line:84%
you can use them more often, and
therefore prove better things.

00:30:41.580 --> 00:30:47.220 align:middle line:84%
And maybe you're just
like, OK, so what?

00:30:47.220 --> 00:30:49.860 align:middle line:84%
But there's even
bigger reasons why

00:30:49.860 --> 00:30:51.930 align:middle line:84%
you consider Lebesgue
measure and integration.

00:30:51.930 --> 00:30:54.570 align:middle line:84%
And this is because
that if you look

00:30:54.570 --> 00:31:00.750 align:middle line:84%
at the space of Riemann
integrable functions on a, b,

00:31:00.750 --> 00:31:10.140 align:middle line:84%
say, 0, 1, say, let's make it
concrete, then let me in fact

00:31:10.140 --> 00:31:10.815 align:middle line:90%
write this down.

00:31:10.815 --> 00:31:14.130 align:middle line:90%


00:31:14.130 --> 00:31:15.705 align:middle line:84%
L1-- and I'm going
to put an R here.

00:31:15.705 --> 00:31:20.230 align:middle line:90%


00:31:20.230 --> 00:31:28.660 align:middle line:84%
This is a set of all f
from 0, 1 C such that f

00:31:28.660 --> 00:31:34.480 align:middle line:90%
is Riemann integrable on 0, 1.

00:31:34.480 --> 00:31:39.670 align:middle line:84%
Now in 18.100 and 100A, these
are usually real-valued.

00:31:39.670 --> 00:31:42.077 align:middle line:84%
But when I mean Riemann
integrable and its complex

00:31:42.077 --> 00:31:44.410 align:middle line:84%
valued, I just mean the real
part and the imaginary part

00:31:44.410 --> 00:31:46.800 align:middle line:90%
are Riemann integrable.

00:31:46.800 --> 00:31:49.440 align:middle line:90%


00:31:49.440 --> 00:31:53.230 align:middle line:84%
So you don't need to
know anything fancy.

00:31:53.230 --> 00:31:58.705 align:middle line:84%
And if I define a norm
on capital L1 by--

00:31:58.705 --> 00:32:15.010 align:middle line:90%


00:32:15.010 --> 00:32:17.530 align:middle line:84%
so I have this space
I have this norm.

00:32:17.530 --> 00:32:19.090 align:middle line:90%
Now, it's not quite a norm.

00:32:19.090 --> 00:32:21.280 align:middle line:84%
Because you can have
Riemann integrable

00:32:21.280 --> 00:32:25.780 align:middle line:84%
functions which are not 0
everywhere, whose integral is 0.

00:32:25.780 --> 00:32:28.810 align:middle line:84%
If you have a function that's
0 except for at one point,

00:32:28.810 --> 00:32:32.530 align:middle line:84%
and at that one point it's 5,
well, the function's non-zero,

00:32:32.530 --> 00:32:33.910 align:middle line:90%
but the integral is 0.

00:32:33.910 --> 00:32:35.770 align:middle line:90%
So this is a semi-norm.

00:32:35.770 --> 00:32:37.465 align:middle line:90%
But let's imagine it's a norm.

00:32:37.465 --> 00:32:41.230 align:middle line:90%


00:32:41.230 --> 00:32:54.260 align:middle line:84%
So the problem is, is that even
if I mod out by those things

00:32:54.260 --> 00:32:56.780 align:middle line:84%
that give me a
semi-norm equal to 0

00:32:56.780 --> 00:32:59.630 align:middle line:84%
so that I get an
actual norm space,

00:32:59.630 --> 00:33:01.230 align:middle line:90%
but ignore that for a minute.

00:33:01.230 --> 00:33:04.280 align:middle line:84%
Let's just imagine that this is
an actual honest to God norm.

00:33:04.280 --> 00:33:10.595 align:middle line:84%
Then this thing ends up being
this is not a Banach space.

00:33:10.595 --> 00:33:15.590 align:middle line:90%


00:33:15.590 --> 00:33:19.190 align:middle line:84%
So one reason to consider
more general integration

00:33:19.190 --> 00:33:24.960 align:middle line:84%
is because Riemann
integration, or at least

00:33:24.960 --> 00:33:26.820 align:middle line:84%
only restricting
to those functions

00:33:26.820 --> 00:33:29.040 align:middle line:84%
which are Riemann
integrable does not

00:33:29.040 --> 00:33:30.150 align:middle line:90%
give you a Banach space.

00:33:30.150 --> 00:33:34.470 align:middle line:84%
This is not-- this is a norm
space modulo this little bit

00:33:34.470 --> 00:33:38.910 align:middle line:84%
that there are functions that
have norm 0 that aren't exactly

00:33:38.910 --> 00:33:41.070 align:middle line:90%
identically 0.

00:33:41.070 --> 00:33:43.470 align:middle line:90%
But it's not a Banach space.

00:33:43.470 --> 00:33:45.690 align:middle line:90%
It's not complete.

00:33:45.690 --> 00:33:47.430 align:middle line:84%
And in functional
analysis, we're

00:33:47.430 --> 00:33:52.020 align:middle line:84%
interested in spaces
that are complete.

00:33:52.020 --> 00:33:56.850 align:middle line:84%
And not just in functional
analysis for the abstract love

00:33:56.850 --> 00:34:02.898 align:middle line:84%
of it, but in
problems where, as I

00:34:02.898 --> 00:34:04.440 align:middle line:84%
said at the beginning
of this course,

00:34:04.440 --> 00:34:07.020 align:middle line:84%
where you have
differentiable equations

00:34:07.020 --> 00:34:10.350 align:middle line:84%
or some functional defined
on some space functions

00:34:10.350 --> 00:34:11.969 align:middle line:84%
you want to deal
with complete spaces.

00:34:11.969 --> 00:34:21.659 align:middle line:84%
And a lot of functionals are
defined on not just L1 but say

00:34:21.659 --> 00:34:25.830 align:middle line:84%
LP, where now I replace
this by a p'th power.

00:34:25.830 --> 00:34:33.340 align:middle line:84%
So in order to be able to say
certain things exist or get

00:34:33.340 --> 00:34:35.530 align:middle line:84%
to the heart of
the subject, I need

00:34:35.530 --> 00:34:36.867 align:middle line:90%
these spaces to be complete.

00:34:36.867 --> 00:34:39.159 align:middle line:84%
And if I just restrict to
Riemann integrable functions,

00:34:39.159 --> 00:34:40.219 align:middle line:90%
it's not complete.

00:34:40.219 --> 00:34:44.560 align:middle line:84%
So we have to do
Lebesgue integration.

00:34:44.560 --> 00:34:47.020 align:middle line:84%
Now, what we'll
find out is that--

00:34:47.020 --> 00:34:50.620 align:middle line:84%
and this is how it's done in the
original notes for this class,

00:34:50.620 --> 00:34:53.900 align:middle line:84%
is that this is
not a Banach space.

00:34:53.900 --> 00:34:56.179 align:middle line:90%
But I can take its completion.

00:34:56.179 --> 00:34:59.300 align:middle line:84%
Just like the set of rational
numbers is not complete,

00:34:59.300 --> 00:35:01.820 align:middle line:84%
I can take it's what's
called completion

00:35:01.820 --> 00:35:03.560 align:middle line:90%
and get the set of real numbers.

00:35:03.560 --> 00:35:06.500 align:middle line:84%
I could take this space,
take its completion,

00:35:06.500 --> 00:35:11.870 align:middle line:84%
and what I get is a abstract
space, which I can actually

00:35:11.870 --> 00:35:16.310 align:middle line:84%
identify with the space of
Lebesgue integrable functions.

00:35:16.310 --> 00:35:17.790 align:middle line:84%
That's how it's
done in the notes.

00:35:17.790 --> 00:35:20.540 align:middle line:84%
But I don't want
to do it that way.

00:35:20.540 --> 00:35:24.680 align:middle line:84%
Instead, we're just going
to build up Lebesgue measure

00:35:24.680 --> 00:35:26.910 align:middle line:84%
and integration
from the ground up.

00:35:26.910 --> 00:35:31.940 align:middle line:84%
And we will see at one
point that these functions

00:35:31.940 --> 00:35:35.240 align:middle line:84%
are in fact dense in the
space of Lebesgue integrable

00:35:35.240 --> 00:35:36.110 align:middle line:90%
functions.

00:35:36.110 --> 00:35:43.500 align:middle line:84%
And therefore, we conclude
that the abstract completion--

00:35:43.500 --> 00:35:46.190 align:middle line:84%
if you haven't covered
completions, that's fine--

00:35:46.190 --> 00:35:50.300 align:middle line:84%
of this space is, in
fact, the integrable--

00:35:50.300 --> 00:35:53.400 align:middle line:84%
the space of Lebesgue
integrable functions.

00:35:53.400 --> 00:36:01.930 align:middle line:84%
So summing it up is that we
have to do Lebesgue measure

00:36:01.930 --> 00:36:04.180 align:middle line:84%
and integration because these
spaces are not complete.

00:36:04.180 --> 00:36:06.840 align:middle line:90%


00:36:06.840 --> 00:36:10.410 align:middle line:84%
And we have better convergence
theorems in these spaces.

00:36:10.410 --> 00:36:14.760 align:middle line:84%
But it just takes a little
bit of effort to learn.

00:36:14.760 --> 00:36:17.370 align:middle line:84%
Not much, but I mean,
it's quite intuitive

00:36:17.370 --> 00:36:21.540 align:middle line:84%
once you start seeing the
arguments and going through it.

00:36:21.540 --> 00:36:27.290 align:middle line:90%


00:36:27.290 --> 00:36:30.520 align:middle line:84%
So we're going to be defining a
new notion of integration that's

00:36:30.520 --> 00:36:33.550 align:middle line:84%
more general than
Riemann integration.

00:36:33.550 --> 00:36:36.330 align:middle line:90%


00:36:36.330 --> 00:36:41.510 align:middle line:84%
And so, integration
should somehow

00:36:41.510 --> 00:36:46.490 align:middle line:84%
be the theory of area
underneath the curve.

00:36:46.490 --> 00:36:59.460 align:middle line:84%
So the simplest
type of functions

00:36:59.460 --> 00:37:09.990 align:middle line:84%
you should consider first
is, if I have a subset E,

00:37:09.990 --> 00:37:13.620 align:middle line:84%
maybe it's crazy, or
maybe it's simple.

00:37:13.620 --> 00:37:22.010 align:middle line:84%
And I have a function, which is
just a 1 when I'm on it and 0

00:37:22.010 --> 00:37:22.750 align:middle line:90%
otherwise.

00:37:22.750 --> 00:37:31.400 align:middle line:90%


00:37:31.400 --> 00:37:37.390 align:middle line:84%
So I'll denote this function
by 1 with an E beneath it.

00:37:37.390 --> 00:37:42.890 align:middle line:84%
Then in some sense, I want to be
able to integrate this function.

00:37:42.890 --> 00:37:53.020 align:middle line:84%
So 1E is the function that's 1
if x is in E and 0 if x is not

00:37:53.020 --> 00:37:56.110 align:middle line:84%
in E. So if E is just
the interval a, b,

00:37:56.110 --> 00:37:59.500 align:middle line:84%
then I just have the function
that 0 outside of a, b and 1

00:37:59.500 --> 00:38:00.400 align:middle line:90%
over a, b.

00:38:00.400 --> 00:38:06.195 align:middle line:84%
So the question is, how do
we integrate such functions?

00:38:06.195 --> 00:38:11.450 align:middle line:84%
Or our first task is
to define the integral

00:38:11.450 --> 00:38:13.350 align:middle line:90%
for these types of functions.

00:38:13.350 --> 00:38:16.490 align:middle line:84%
Well, since the
integral should be

00:38:16.490 --> 00:38:19.280 align:middle line:84%
a theory of the area
underneath the curve,

00:38:19.280 --> 00:38:22.130 align:middle line:90%
for example, if E equals--

00:38:22.130 --> 00:38:25.370 align:middle line:84%
so this is all just discussion
right now, I should add.

00:38:25.370 --> 00:38:26.958 align:middle line:90%
So this is motivation.

00:38:26.958 --> 00:38:29.000 align:middle line:84%
In a minute I'll get to
definitions and theorems.

00:38:29.000 --> 00:38:32.570 align:middle line:90%
But this is just a discussion.

00:38:32.570 --> 00:38:35.930 align:middle line:84%
If E equals a, b
so that I'm just--

00:38:35.930 --> 00:38:51.030 align:middle line:84%
I have a, b, 1, 0 outside,
then the integral of this guy

00:38:51.030 --> 00:38:57.980 align:middle line:84%
in whatever sense
this integral is,

00:38:57.980 --> 00:39:01.950 align:middle line:84%
this should be at least the
area underneath this curve.

00:39:01.950 --> 00:39:05.690 align:middle line:90%
So it should be b minus a.

00:39:05.690 --> 00:39:12.590 align:middle line:84%
Which is the length
of the interval a, b.

00:39:12.590 --> 00:39:29.540 align:middle line:84%
So and therefore, if we
have a general set E,

00:39:29.540 --> 00:39:37.800 align:middle line:84%
we should expect that our
integral over the function,

00:39:37.800 --> 00:39:41.540 align:middle line:84%
which is 1 on E and 0
off it, should somehow--

00:39:41.540 --> 00:39:45.470 align:middle line:84%
this should be the length of E.
But length is not a very good

00:39:45.470 --> 00:39:48.710 align:middle line:84%
word because length
applies to an interval a,

00:39:48.710 --> 00:39:50.930 align:middle line:84%
b because there's a
start and there's a stop.

00:39:50.930 --> 00:39:53.510 align:middle line:84%
And everything in
between is in the set.

00:39:53.510 --> 00:39:59.240 align:middle line:84%
So rather than write the
length of E, I'll write m of E.

00:39:59.240 --> 00:40:06.590 align:middle line:84%
And m of E being
the what I'll say

00:40:06.590 --> 00:40:12.800 align:middle line:84%
is a measure of E. A measure
of how much of E there is.

00:40:12.800 --> 00:40:16.060 align:middle line:84%
And so, our first
task, if we're hoping

00:40:16.060 --> 00:40:20.350 align:middle line:84%
to develop a notion
of integration more

00:40:20.350 --> 00:40:25.630 align:middle line:84%
general than Riemann, in
which the resulting spaces are

00:40:25.630 --> 00:40:28.090 align:middle line:84%
a Banach space, that's
really the goal in the end

00:40:28.090 --> 00:40:33.220 align:middle line:84%
we should start by defining
what does this mean?

00:40:33.220 --> 00:40:36.370 align:middle line:90%
What is a measure of a set?

00:40:36.370 --> 00:40:38.290 align:middle line:90%
Which sets are we measuring?

00:40:38.290 --> 00:40:42.700 align:middle line:90%


00:40:42.700 --> 00:40:56.785 align:middle line:84%
So our task right now
is define before we even

00:40:56.785 --> 00:40:59.410 align:middle line:84%
get to integration, we should be
able to integrate the simplest

00:40:59.410 --> 00:41:00.220 align:middle line:90%
types of functions.

00:41:00.220 --> 00:41:11.550 align:middle line:84%
And this requires us to be able
to define the measure of subsets

00:41:11.550 --> 00:41:14.550 align:middle line:84%
of R. And this is
Lebesgue measure

00:41:14.550 --> 00:41:16.630 align:middle line:90%
that we'll be developing.

00:41:16.630 --> 00:41:25.510 align:middle line:84%
So what are some
properties that we

00:41:25.510 --> 00:41:34.190 align:middle line:84%
want that a reasonable
measure of sets to have?

00:41:34.190 --> 00:41:36.610 align:middle line:84%
So the first one
we would like is,

00:41:36.610 --> 00:41:38.500 align:middle line:84%
we should be able to
measure everything.

00:41:38.500 --> 00:41:40.510 align:middle line:84%
What's awful about
Riemann integration

00:41:40.510 --> 00:41:45.310 align:middle line:84%
is we can't really
integrate any function.

00:41:45.310 --> 00:41:49.350 align:middle line:84%
But we can't even integrate
this function when E is,

00:41:49.350 --> 00:41:52.440 align:middle line:84%
say, the rational
numbers between 0 and 1.

00:41:52.440 --> 00:41:56.520 align:middle line:84%
When I have the function
which is 1 on the rationals

00:41:56.520 --> 00:42:01.120 align:middle line:84%
and 0 off of that, that's
not Riemann integrable.

00:42:01.120 --> 00:42:03.270 align:middle line:84%
So I would like to
be able to measure

00:42:03.270 --> 00:42:04.985 align:middle line:90%
any subset of real numbers.

00:42:04.985 --> 00:42:11.200 align:middle line:90%


00:42:11.200 --> 00:42:16.090 align:middle line:84%
So I would like to be
able to define the measure

00:42:16.090 --> 00:42:18.100 align:middle line:90%
of any subset of real numbers.

00:42:18.100 --> 00:42:24.910 align:middle line:84%
And the second property I would
like is kind of a sanity check,

00:42:24.910 --> 00:42:37.380 align:middle line:84%
that if I is an interval,
then the measure of E

00:42:37.380 --> 00:42:41.060 align:middle line:90%
should be the length of I.

00:42:41.060 --> 00:42:44.780 align:middle line:84%
And by I, I mean half
open, half closed.

00:42:44.780 --> 00:42:47.150 align:middle line:84%
I guess, a half
open is half closed.

00:42:47.150 --> 00:42:52.060 align:middle line:84%
But closed, open interval,
the measure of that

00:42:52.060 --> 00:42:54.850 align:middle line:84%
should not care about
missing the two endpoints.

00:42:54.850 --> 00:42:57.160 align:middle line:84%
And I should just get out
the length of that interval

00:42:57.160 --> 00:42:58.148 align:middle line:90%
b minus a.

00:42:58.148 --> 00:43:01.284 align:middle line:90%


00:43:01.284 --> 00:43:09.690 align:middle line:84%
A third property is a
measure of the whole

00:43:09.690 --> 00:43:14.850 align:middle line:84%
should be the sum of the
measures of its parts.

00:43:14.850 --> 00:43:17.370 align:middle line:84%
If I have some set
which can be written

00:43:17.370 --> 00:43:24.330 align:middle line:84%
as a union of disjoint
chunks, then the measure

00:43:24.330 --> 00:43:27.780 align:middle line:84%
of that whole set should
be the sum of the measure

00:43:27.780 --> 00:43:29.250 align:middle line:90%
of the individual chunks.

00:43:29.250 --> 00:43:45.620 align:middle line:84%
So that's stated as if En is
a collection of disjoint sets.

00:43:45.620 --> 00:43:48.950 align:middle line:84%
So think of these as
making up a bigger set.

00:43:48.950 --> 00:43:55.750 align:middle line:84%
And this is, I should say, a
countable collection of disjoint

00:43:55.750 --> 00:44:03.130 align:middle line:84%
sets, then I would like for
the measure of their union

00:44:03.130 --> 00:44:05.740 align:middle line:90%
to be the sum of the measures.

00:44:05.740 --> 00:44:08.800 align:middle line:90%


00:44:08.800 --> 00:44:12.490 align:middle line:84%
This is a reasonable
thing to ask for.

00:44:12.490 --> 00:44:16.270 align:middle line:84%
The measure of the whole is the
sum of the measure of the parts.

00:44:16.270 --> 00:44:19.270 align:middle line:84%
And in the last one, which
is kind of specific to how

00:44:19.270 --> 00:44:25.650 align:middle line:84%
we view R is, if I take a set
here next to where I'm standing,

00:44:25.650 --> 00:44:28.330 align:middle line:84%
and then I take that set,
don't do anything to it,

00:44:28.330 --> 00:44:31.260 align:middle line:84%
I just walk it over here
and take it's measure,

00:44:31.260 --> 00:44:34.200 align:middle line:84%
that measure, the measure
of this set which I've now

00:44:34.200 --> 00:44:35.970 align:middle line:84%
walked over here
should be the same

00:44:35.970 --> 00:44:40.570 align:middle line:84%
as the measure of that set over
when I was standing over here.

00:44:40.570 --> 00:44:45.030 align:middle line:84%
So we should like m to
be translation invariant.

00:44:45.030 --> 00:44:56.570 align:middle line:90%


00:44:56.570 --> 00:45:06.730 align:middle line:84%
Meaning if E is in R
and x is an element

00:45:06.730 --> 00:45:12.760 align:middle line:84%
of r, then the
measure of the set

00:45:12.760 --> 00:45:18.520 align:middle line:84%
x plus E, which means the
measure of the set of elements

00:45:18.520 --> 00:45:24.730 align:middle line:84%
x plus y, where y is in E. So
just take E and shift it by x.

00:45:24.730 --> 00:45:45.160 align:middle line:84%
This should be the same as the
measure of the original set E.

00:45:45.160 --> 00:45:55.160 align:middle line:84%
So unfortunately, this
is impossible to have

00:45:55.160 --> 00:46:04.050 align:middle line:84%
a function which is defined on
every subset of real numbers

00:46:04.050 --> 00:46:06.400 align:middle line:84%
satisfying these
three properties.

00:46:06.400 --> 00:46:11.360 align:middle line:90%
So that's very unfortunate.

00:46:11.360 --> 00:46:14.910 align:middle line:90%


00:46:14.910 --> 00:46:19.770 align:middle line:84%
Such a function m going from
the power set of R, meaning

00:46:19.770 --> 00:46:23.730 align:middle line:84%
the set of all subsets
of R, and of course

00:46:23.730 --> 00:46:25.140 align:middle line:84%
this thing should
be non-negative

00:46:25.140 --> 00:46:36.855 align:middle line:84%
since it's a measure of how
much is there, does not exist.

00:46:36.855 --> 00:46:42.688 align:middle line:90%


00:46:42.688 --> 00:46:43.230 align:middle line:90%
Meaning what?

00:46:43.230 --> 00:46:45.900 align:middle line:84%
If you assume all of
these four properties,

00:46:45.900 --> 00:46:53.150 align:middle line:84%
you'll be able to come up with
a set which has finite measure

00:46:53.150 --> 00:46:55.850 align:middle line:84%
and then also simultaneously
has infinite measure.

00:46:55.850 --> 00:46:58.700 align:middle line:90%


00:46:58.700 --> 00:47:04.650 align:middle line:84%
So it's impossible to
have a function which

00:47:04.650 --> 00:47:06.750 align:middle line:84%
is defined for every
subset of real numbers

00:47:06.750 --> 00:47:11.880 align:middle line:84%
satisfying the conditions
two, three, and four.

00:47:11.880 --> 00:47:14.770 align:middle line:84%
It's just not logically--
it's just not possible.

00:47:14.770 --> 00:47:20.480 align:middle line:90%
So that's unfortunate.

00:47:20.480 --> 00:47:29.640 align:middle line:84%
But what we can do is
drop the assumption

00:47:29.640 --> 00:47:35.310 align:middle line:84%
that measure is defined for
every subset of real numbers

00:47:35.310 --> 00:47:43.360 align:middle line:84%
and focus on trying to
find a set function--

00:47:43.360 --> 00:47:46.630 align:middle line:84%
I mean, defined on
subsets of real numbers.

00:47:46.630 --> 00:47:48.880 align:middle line:84%
So that's why I'm calling
it a set function--

00:47:48.880 --> 00:47:53.980 align:middle line:84%
m which satisfies two, three
and four on a big collection

00:47:53.980 --> 00:47:58.330 align:middle line:84%
of sets, that's defined on
a large collection of sets.

00:47:58.330 --> 00:48:02.870 align:middle line:90%


00:48:02.870 --> 00:48:07.940 align:middle line:84%
And these sets for which
such a measure will

00:48:07.940 --> 00:48:11.750 align:middle line:84%
be defined on satisfying
two, three, and four will

00:48:11.750 --> 00:48:13.910 align:middle line:90%
be quite large in the end.

00:48:13.910 --> 00:48:19.130 align:middle line:84%
This is the set of
Lebesgue measurable sets.

00:48:19.130 --> 00:48:22.520 align:middle line:90%
And m is the Lebesgue measure.

00:48:22.520 --> 00:48:26.780 align:middle line:84%
And so, our goal is to
construct the Lebesgue measure

00:48:26.780 --> 00:48:30.780 align:middle line:90%
and Lebesgue integrable sets.

00:48:30.780 --> 00:48:32.300 align:middle line:90%
So this is our task.

00:48:32.300 --> 00:48:34.980 align:middle line:90%


00:48:34.980 --> 00:48:38.730 align:middle line:84%
Or I guess we had
that task before.

00:48:38.730 --> 00:48:40.605 align:middle line:90%
So what is the plan now?

00:48:40.605 --> 00:48:49.090 align:middle line:90%


00:48:49.090 --> 00:49:05.595 align:middle line:84%
Construct an m defined
for a large class--

00:49:05.595 --> 00:49:21.340 align:middle line:90%


00:49:21.340 --> 00:49:25.300 align:middle line:84%
so defined for many different
sets but not necessarily--

00:49:25.300 --> 00:49:27.130 align:middle line:90%
but not every set.

00:49:27.130 --> 00:49:30.000 align:middle line:90%


00:49:30.000 --> 00:49:34.020 align:middle line:84%
And these sets will be, we
will call Lebesgue measurable

00:49:34.020 --> 00:49:53.210 align:middle line:84%
sets such that the conditions
two through four hold.

00:49:53.210 --> 00:49:56.490 align:middle line:84%
That if I have an interval,
the measure of that interval--

00:49:56.490 --> 00:50:00.260 align:middle line:84%
so first off, this class of sets
should contain all intervals.

00:50:00.260 --> 00:50:02.360 align:middle line:84%
And the measure of
that interval gives me

00:50:02.360 --> 00:50:04.340 align:middle line:90%
the length of the interval.

00:50:04.340 --> 00:50:08.030 align:middle line:84%
And if I have a
countable collection

00:50:08.030 --> 00:50:11.930 align:middle line:84%
of sets for which I can measure,
then their union is measurable.

00:50:11.930 --> 00:50:16.340 align:middle line:84%
And the measure of
that disjoint union

00:50:16.340 --> 00:50:18.020 align:middle line:84%
is equal to the sum
of the measures.

00:50:18.020 --> 00:50:20.600 align:middle line:84%
And then it's also
translation-invariant.

00:50:20.600 --> 00:50:23.330 align:middle line:90%
So that's the plan.

00:50:23.330 --> 00:50:26.110 align:middle line:90%


00:50:26.110 --> 00:50:29.100 align:middle line:84%
So it won't be defined
on for every set.

00:50:29.100 --> 00:50:32.130 align:middle line:84%
But it will be defined for
a large class of sets which

00:50:32.130 --> 00:50:34.930 align:middle line:90%
contain most reasonable sets.

00:50:34.930 --> 00:50:46.190 align:middle line:84%
And how we're going to do
this is due to Carathéodory.

00:50:46.190 --> 00:50:48.000 align:middle line:90%
And we'll go about it like this.

00:50:48.000 --> 00:50:58.390 align:middle line:84%
We'll first-- so how
we'll construct this,

00:50:58.390 --> 00:51:05.450 align:middle line:84%
we'll first construct
a function m

00:51:05.450 --> 00:51:15.090 align:middle line:84%
star, which is defined for
every subset of real numbers.

00:51:15.090 --> 00:51:23.820 align:middle line:84%
This we'll call the outer
measure, which satisfies two,

00:51:23.820 --> 00:51:29.100 align:middle line:84%
namely that the m
star of an interval

00:51:29.100 --> 00:51:33.120 align:middle line:90%
is the length of the interval 3.

00:51:33.120 --> 00:51:39.045 align:middle line:84%
And I shouldn't say
3, but and almost 3.

00:51:39.045 --> 00:51:45.430 align:middle line:90%


00:51:45.430 --> 00:51:53.760 align:middle line:84%
Then we restrict, I
should say, satisfying

00:51:53.760 --> 00:51:59.230 align:middle line:90%
two, almost three, and four.

00:51:59.230 --> 00:52:02.570 align:middle line:90%


00:52:02.570 --> 00:52:17.230 align:middle line:84%
Then we restrict m star to
well-behaved subsets of R.

00:52:17.230 --> 00:52:23.610 align:middle line:84%
These will be the class
of the big Lebesgue sets.

00:52:23.610 --> 00:52:26.715 align:middle line:84%
And m will just be m star
restricted to these subsets.

00:52:26.715 --> 00:52:30.590 align:middle line:90%


00:52:30.590 --> 00:52:35.300 align:middle line:84%
So this is the plan
of this chapter,

00:52:35.300 --> 00:52:37.550 align:middle line:90%
this part of the course.

00:52:37.550 --> 00:52:42.060 align:middle line:90%
Again, this is all discussion.

00:52:42.060 --> 00:52:47.340 align:middle line:84%
So our first topic
will be m star,

00:52:47.340 --> 00:52:48.975 align:middle line:90%
which is called outer measure.

00:52:48.975 --> 00:52:58.270 align:middle line:90%


00:52:58.270 --> 00:53:02.430 align:middle line:84%
So this was all game
plan discussion.

00:53:02.430 --> 00:53:06.010 align:middle line:84%
If you didn't follow everything
I just said, that's fine.

00:53:06.010 --> 00:53:08.800 align:middle line:90%
You could start listening now.

00:53:08.800 --> 00:53:11.350 align:middle line:84%
Because then I'm just going
to start defining things

00:53:11.350 --> 00:53:12.730 align:middle line:90%
and proving theorems about them.

00:53:12.730 --> 00:53:17.860 align:middle line:84%
But you should know
the path that we're

00:53:17.860 --> 00:53:22.282 align:middle line:84%
on so that you don't lose
the forest through the trees

00:53:22.282 --> 00:53:23.240 align:middle line:90%
or something like that.

00:53:23.240 --> 00:53:24.740 align:middle line:84%
I think it goes
something like that.

00:53:24.740 --> 00:53:31.225 align:middle line:90%
Anyways, so outer measure--

00:53:31.225 --> 00:53:35.070 align:middle line:90%


00:53:35.070 --> 00:53:37.560 align:middle line:90%
so for an interval--

00:53:37.560 --> 00:53:40.090 align:middle line:90%


00:53:40.090 --> 00:53:42.870 align:middle line:84%
so let me just note
a little notation,

00:53:42.870 --> 00:53:44.130 align:middle line:90%
as I used a minute ago.

00:53:44.130 --> 00:53:58.170 align:middle line:90%


00:53:58.170 --> 00:54:09.810 align:middle line:84%
If I is an interval,
meaning open closed, half

00:54:09.810 --> 00:54:15.790 align:middle line:84%
open, infinite, little l
of I denotes its length.

00:54:15.790 --> 00:54:21.360 align:middle line:84%
If it's unbounded, then this
just is a stand-in for infinity.

00:54:21.360 --> 00:54:27.330 align:middle line:90%


00:54:27.330 --> 00:54:30.240 align:middle line:84%
And the length of the
interval-- so the length

00:54:30.240 --> 00:54:37.920 align:middle line:84%
of a, b both including a, b
or not, or over 1 and maybe

00:54:37.920 --> 00:54:41.640 align:middle line:84%
not the other, is equal
to b minus a regardless

00:54:41.640 --> 00:54:44.160 align:middle line:84%
if it's an open, closed,
or half open interval.

00:54:44.160 --> 00:54:47.300 align:middle line:90%


00:54:47.300 --> 00:54:56.145 align:middle line:84%
So for a subset of real numbers,
we define its outer measure--

00:54:56.145 --> 00:55:08.620 align:middle line:90%


00:55:08.620 --> 00:55:10.577 align:middle line:84%
we define the
outer measure of a.

00:55:10.577 --> 00:55:13.000 align:middle line:90%
This is m star of a.

00:55:13.000 --> 00:55:23.500 align:middle line:84%
This is equal to the infimum
of numbers sum of lengths of I

00:55:23.500 --> 00:55:25.090 align:middle line:90%
sub n.

00:55:25.090 --> 00:55:28.480 align:middle line:90%
And what are the I sub n's?

00:55:28.480 --> 00:55:39.100 align:middle line:84%
This is equal where I sub
n is a countable collection

00:55:39.100 --> 00:55:49.790 align:middle line:84%
of open intervals such that a
is contained in their union.

00:55:49.790 --> 00:55:53.500 align:middle line:90%


00:55:53.500 --> 00:55:57.640 align:middle line:84%
So how I compute
the outer measure,

00:55:57.640 --> 00:56:03.010 align:middle line:84%
so I can cover any set-- any
subset of the real numbers

00:56:03.010 --> 00:56:07.100 align:middle line:90%
by a union of open intervals.

00:56:07.100 --> 00:56:13.670 align:middle line:84%
And so then, the
outer measure is then

00:56:13.670 --> 00:56:17.360 align:middle line:84%
defined as the infimum
of the sum of the lengths

00:56:17.360 --> 00:56:19.010 align:middle line:90%
of these open intervals.

00:56:19.010 --> 00:56:20.730 align:middle line:90%
So you have your set.

00:56:20.730 --> 00:56:22.160 align:middle line:90%
You cover it by open intervals.

00:56:22.160 --> 00:56:24.230 align:middle line:84%
You sum up the length
of the open intervals.

00:56:24.230 --> 00:56:30.100 align:middle line:84%
This gives you some rough
approximation to the size of a.

00:56:30.100 --> 00:56:32.540 align:middle line:84%
And now if you make those
intervals small, and smaller,

00:56:32.540 --> 00:56:34.290 align:middle line:84%
and smaller, then you
should be picking up

00:56:34.290 --> 00:56:35.640 align:middle line:90%
more detailed information.

00:56:35.640 --> 00:56:39.887 align:middle line:84%
And so, the infimum
of some of the length

00:56:39.887 --> 00:56:41.720 align:middle line:84%
of these intervals that
are covering a, this

00:56:41.720 --> 00:56:43.070 align:middle line:90%
gives you the outer measure.

00:56:43.070 --> 00:56:50.690 align:middle line:84%
So let me give you the
stupidest example ever, which is

00:56:50.690 --> 00:56:53.690 align:middle line:90%
the outer measure of a point.

00:56:53.690 --> 00:56:57.590 align:middle line:84%
So let's say, I don't know,
the set containing just 1.

00:56:57.590 --> 00:56:58.580 align:middle line:90%
So I claim that--

00:56:58.580 --> 00:57:02.070 align:middle line:90%


00:57:02.070 --> 00:57:03.930 align:middle line:90%
or the set containing 0.

00:57:03.930 --> 00:57:07.180 align:middle line:84%
The outer measure
of this is just 0.

00:57:07.180 --> 00:57:09.600 align:middle line:84%
So the set with just
one point should--

00:57:09.600 --> 00:57:11.130 align:middle line:90%
it doesn't fill anything.

00:57:11.130 --> 00:57:16.070 align:middle line:84%
So it shouldn't
have any measure,

00:57:16.070 --> 00:57:18.650 align:middle line:84%
it shouldn't have
a positive measure.

00:57:18.650 --> 00:57:25.920 align:middle line:84%
At least if we're
wanting to have measure

00:57:25.920 --> 00:57:27.480 align:middle line:90%
be related to length.

00:57:27.480 --> 00:57:31.590 align:middle line:90%


00:57:31.590 --> 00:57:33.670 align:middle line:90%
Now, why is this?

00:57:33.670 --> 00:57:39.140 align:middle line:90%
Well, let epsilon be positive.

00:57:39.140 --> 00:57:41.770 align:middle line:84%
What I'm going to show is that
the outer measure of this set

00:57:41.770 --> 00:57:44.630 align:middle line:90%
is less than epsilon.

00:57:44.630 --> 00:57:46.990 align:middle line:84%
And since this is always
a non-negative number,

00:57:46.990 --> 00:57:50.750 align:middle line:84%
it's the infimum over a
subset of positive numbers.

00:57:50.750 --> 00:57:58.090 align:middle line:84%
So therefore, that infimum
is always non-negative.

00:57:58.090 --> 00:58:01.390 align:middle line:84%
So I should note
that this is always

00:58:01.390 --> 00:58:02.980 align:middle line:90%
bigger than or equal to 0.

00:58:02.980 --> 00:58:05.470 align:middle line:84%
So I'm going to show
that the outer measure is

00:58:05.470 --> 00:58:09.030 align:middle line:90%
less than epsilon.

00:58:09.030 --> 00:58:11.550 align:middle line:84%
Then the set
containing only 0 is

00:58:11.550 --> 00:58:18.160 align:middle line:84%
contained in the open interval
epsilon over 2-- minus epsilon

00:58:18.160 --> 00:58:19.840 align:middle line:90%
over 2 to epsilon over 2.

00:58:19.840 --> 00:58:25.060 align:middle line:84%
And therefore, the
outer measure of 0,

00:58:25.060 --> 00:58:27.640 align:middle line:84%
which is the infimum
of the sum of links

00:58:27.640 --> 00:58:31.150 align:middle line:84%
over all collection of
intervals covering a, this

00:58:31.150 --> 00:58:34.330 align:middle line:84%
should be less than or equal
to if I just take one of these.

00:58:34.330 --> 00:58:44.520 align:middle line:84%
So length of, which
equals epsilon.

00:58:44.520 --> 00:58:47.570 align:middle line:84%
Now, the measure of this is
always less than or equal

00:58:47.570 --> 00:58:50.040 align:middle line:84%
to epsilon for all
epsilon positive.

00:58:50.040 --> 00:58:51.620 align:middle line:90%
So then I can take--

00:58:51.620 --> 00:58:52.790 align:middle line:90%
send epsilon to 0.

00:58:52.790 --> 00:58:59.170 align:middle line:84%
And I get that this
measure-- outer measure is 0.

00:58:59.170 --> 00:59:11.000 align:middle line:90%


00:59:11.000 --> 00:59:14.000 align:middle line:84%
So again, the outer
measure is the infimum

00:59:14.000 --> 00:59:15.770 align:middle line:84%
of the sum of
lengths, of intervals,

00:59:15.770 --> 00:59:19.960 align:middle line:84%
of open intervals, where
these open intervals cover a.

00:59:19.960 --> 00:59:25.620 align:middle line:90%


00:59:25.620 --> 00:59:28.710 align:middle line:84%
Simplest one is the set
containing a single point.

00:59:28.710 --> 00:59:29.940 align:middle line:90%
It has measure 0.

00:59:29.940 --> 00:59:33.150 align:middle line:84%
Now I bet if you sit and
think for a little bit,

00:59:33.150 --> 00:59:36.000 align:middle line:84%
you can then prove
that the outer measure

00:59:36.000 --> 00:59:40.890 align:middle line:84%
of a set containing finitely
many points, this is also 0.

00:59:40.890 --> 00:59:45.140 align:middle line:90%


00:59:45.140 --> 00:59:46.640 align:middle line:84%
And if you work a
little bit harder,

00:59:46.640 --> 00:59:50.120 align:middle line:84%
you can even prove that the
measure of a countable set

00:59:50.120 --> 00:59:57.520 align:middle line:84%
is also 0 just based on what
we've done here, just based on--

00:59:57.520 --> 00:59:59.967 align:middle line:90%


00:59:59.967 --> 01:00:00.550 align:middle line:90%
you know what?

01:00:00.550 --> 01:00:01.510 align:middle line:90%
Let's do that.

01:00:01.510 --> 01:00:02.920 align:middle line:90%
That's a fun exercise.

01:00:02.920 --> 01:00:08.730 align:middle line:90%


01:00:08.730 --> 01:00:22.710 align:middle line:84%
So is countable, then the
measure of a equals 0.

01:00:22.710 --> 01:00:28.110 align:middle line:84%
So for example, the rational
numbers are countable.

01:00:28.110 --> 01:00:30.840 align:middle line:84%
There's a lot of rational
numbers throughout R.

01:00:30.840 --> 01:00:32.040 align:middle line:90%
But they have measure 0.

01:00:32.040 --> 01:00:35.430 align:middle line:84%
They don't fill anything
in a certain sense.

01:00:35.430 --> 01:00:55.110 align:middle line:84%
Not feel as in F-E-E-L,
fill, as an F-I-L-L.

01:00:55.110 --> 01:00:57.120 align:middle line:90%
So what's the proof of this?

01:00:57.120 --> 01:01:06.860 align:middle line:84%
So if a is countable, then I
can list the elements of a.

01:01:06.860 --> 01:01:10.370 align:middle line:84%
I mean, a being countable
means there's a bijection

01:01:10.370 --> 01:01:11.765 align:middle line:90%
from a to the natural numbers.

01:01:11.765 --> 01:01:15.470 align:middle line:90%


01:01:15.470 --> 01:01:17.720 align:middle line:84%
And I'll do the
countably infinite one

01:01:17.720 --> 01:01:24.020 align:middle line:84%
and leave the
finite case to you.

01:01:24.020 --> 01:01:32.380 align:middle line:90%


01:01:32.380 --> 01:01:34.590 align:middle line:84%
So that means there
exists a bijection

01:01:34.590 --> 01:01:36.760 align:middle line:90%
from a to the natural numbers.

01:01:36.760 --> 01:01:42.660 align:middle line:84%
But that just means that I can
list the elements of a, a1, a2,

01:01:42.660 --> 01:01:47.820 align:middle line:90%
a3, a4, and so on.

01:01:47.820 --> 01:01:48.710 align:middle line:90%
You can write it as--

01:01:48.710 --> 01:01:55.110 align:middle line:90%


01:01:55.110 --> 01:01:56.680 align:middle line:90%
OK.

01:01:56.680 --> 01:01:59.890 align:middle line:84%
Now, I am, just like
I did a minute ago,

01:01:59.890 --> 01:02:02.200 align:middle line:84%
I'm going to show that the
outer measure of this set

01:02:02.200 --> 01:02:04.840 align:middle line:84%
is less than or equal to
epsilon, where epsilon is

01:02:04.840 --> 01:02:07.220 align:middle line:90%
an arbitrary positive number.

01:02:07.220 --> 01:02:11.830 align:middle line:84%
And therefore, the outer
measure has to be 0.

01:02:11.830 --> 01:02:13.240 align:middle line:90%
Let epsilon be positive.

01:02:13.240 --> 01:02:17.820 align:middle line:90%


01:02:17.820 --> 01:02:22.565 align:middle line:84%
We will show the
outer measure of a,

01:02:22.565 --> 01:02:24.690 align:middle line:84%
which is, again, a non-negative
number is less than

01:02:24.690 --> 01:02:25.523 align:middle line:90%
or equal to epsilon.

01:02:25.523 --> 01:02:28.190 align:middle line:90%


01:02:28.190 --> 01:02:30.130 align:middle line:84%
And then, any number
that's less than

01:02:30.130 --> 01:02:33.655 align:middle line:84%
or equal to an arbitrarily
small number has to be 0.

01:02:33.655 --> 01:02:39.630 align:middle line:90%


01:02:39.630 --> 01:02:52.030 align:middle line:84%
For each n natural number, let
I n be the interval that takes

01:02:52.030 --> 01:03:00.550 align:middle line:90%
the form epsilon over 2n plus 1.

01:03:00.550 --> 01:03:01.550 align:middle line:90%
I should write it this--

01:03:01.550 --> 01:03:04.320 align:middle line:90%


01:03:04.320 --> 01:03:08.820 align:middle line:84%
a sub n minus epsilon
over 2n plus 1,

01:03:08.820 --> 01:03:12.810 align:middle line:84%
a sub n plus epsilon
over 2n plus 1.

01:03:12.810 --> 01:03:16.070 align:middle line:90%


01:03:16.070 --> 01:03:20.270 align:middle line:84%
So I sub n is an
open interval that

01:03:20.270 --> 01:03:26.820 align:middle line:90%
contains a sub n for each n.

01:03:26.820 --> 01:03:38.910 align:middle line:84%
And so, a is contained
in this countable union,

01:03:38.910 --> 01:03:43.510 align:middle line:84%
or this countable union
of open intervals.

01:03:43.510 --> 01:03:46.150 align:middle line:84%
And since the outer
measure is the infimum

01:03:46.150 --> 01:03:49.630 align:middle line:84%
of the sum of lengths of
open intervals covering a,

01:03:49.630 --> 01:03:54.610 align:middle line:84%
this implies that the measure,
the outer measure of a, which

01:03:54.610 --> 01:03:59.590 align:middle line:84%
again is the infimum, so it's
smaller than sum of lengths

01:03:59.590 --> 01:04:01.540 align:middle line:84%
of open intervals
covering a, this

01:04:01.540 --> 01:04:05.290 align:middle line:84%
is less than or equal
to sum n equals 1

01:04:05.290 --> 01:04:12.100 align:middle line:84%
to infinity of the length of
I n, which equals sum from n

01:04:12.100 --> 01:04:16.450 align:middle line:84%
equals 1 to infinity of
now the length of each

01:04:16.450 --> 01:04:19.360 align:middle line:84%
of these intervals is
epsilon over 2 to the n.

01:04:19.360 --> 01:04:23.580 align:middle line:90%


01:04:23.580 --> 01:04:27.690 align:middle line:84%
And the sum from n equals 1
to infinity of epsilon over 2

01:04:27.690 --> 01:04:29.770 align:middle line:90%
to the n, this is just epsilon.

01:04:29.770 --> 01:04:41.170 align:middle line:84%
And therefore, the outer
measure is less than epsilon.

01:04:41.170 --> 01:04:51.080 align:middle line:84%
Since epsilon was arbitrary
and the outer measure

01:04:51.080 --> 01:04:53.930 align:middle line:84%
is non-negative, that we
conclude that the outer measure

01:04:53.930 --> 01:04:54.800 align:middle line:90%
has to be 0.

01:04:54.800 --> 01:05:04.250 align:middle line:90%


01:05:04.250 --> 01:05:08.030 align:middle line:84%
I mean, this argument,
we can generalize

01:05:08.030 --> 01:05:12.950 align:middle line:84%
this argument a little bit
to prove something that I'm

01:05:12.950 --> 01:05:15.260 align:middle line:90%
getting a little out of--

01:05:15.260 --> 01:05:18.690 align:middle line:84%
what I'm about to do is
slightly out of order.

01:05:18.690 --> 01:05:21.150 align:middle line:84%
But we can generalize the
argument we just gave.

01:05:21.150 --> 01:05:23.010 align:middle line:84%
And I want to do it
now since it's there

01:05:23.010 --> 01:05:27.690 align:middle line:84%
and we just did it, to prove
that outer measure satisfies

01:05:27.690 --> 01:05:30.420 align:middle line:84%
something that's
almost like three.

01:05:30.420 --> 01:05:36.540 align:middle line:84%
So and it's kind a
generalization of this argument.

01:05:36.540 --> 01:05:37.920 align:middle line:84%
Except for, this
argument we were

01:05:37.920 --> 01:05:40.620 align:middle line:84%
able to give an
explicit I sub n.

01:05:40.620 --> 01:05:46.580 align:middle line:84%
So we have the
following theorem that,

01:05:46.580 --> 01:05:52.030 align:middle line:84%
well, first off let me state
that a very easy property

01:05:52.030 --> 01:05:53.920 align:middle line:84%
of outer measure
is that if I have

01:05:53.920 --> 01:05:58.120 align:middle line:84%
two subsets of real numbers,
and a is contained in b, then

01:05:58.120 --> 01:06:01.240 align:middle line:84%
the outer measure
of a is less than

01:06:01.240 --> 01:06:05.230 align:middle line:84%
or equal to the
outer measure of b.

01:06:05.230 --> 01:06:07.300 align:middle line:84%
Because this just follows
from the definition.

01:06:07.300 --> 01:06:12.190 align:middle line:84%
Any covering of b
by open intervals

01:06:12.190 --> 01:06:16.120 align:middle line:84%
is a covering of a
by open intervals.

01:06:16.120 --> 01:06:18.250 align:middle line:84%
And therefore, the infimum
has to be less than

01:06:18.250 --> 01:06:21.262 align:middle line:84%
or equal to the sum
of those lengths.

01:06:21.262 --> 01:06:23.720 align:middle line:84%
Or I should say, then the outer
measure has to be less than

01:06:23.720 --> 01:06:25.760 align:middle line:84%
or equal to the
sum of those links.

01:06:25.760 --> 01:06:30.050 align:middle line:84%
And thus, the infimum over all
of those intervals covering

01:06:30.050 --> 01:06:31.610 align:middle line:84%
b, which is the
outer measure, has

01:06:31.610 --> 01:06:33.970 align:middle line:84%
to be bigger than or equal
to the outer measure of a.

01:06:33.970 --> 01:06:37.020 align:middle line:84%
So just think about
it for a minute.

01:06:37.020 --> 01:06:40.640 align:middle line:84%
But this should be pretty much
clear from the definition.

01:06:40.640 --> 01:06:50.110 align:middle line:90%


01:06:50.110 --> 01:06:59.118 align:middle line:84%
So the next theorem
is that we have

01:06:59.118 --> 01:07:00.285 align:middle line:90%
something that's like three.

01:07:00.285 --> 01:07:06.570 align:middle line:90%


01:07:06.570 --> 01:07:12.790 align:middle line:90%
Let a and A n be a collection--

01:07:12.790 --> 01:07:14.770 align:middle line:84%
be a countable
collection, I should say.

01:07:14.770 --> 01:07:31.380 align:middle line:84%
So here n is a natural number,
collection of subsets of R.

01:07:31.380 --> 01:07:36.150 align:middle line:84%
Then the outer measure
of their union--

01:07:36.150 --> 01:07:39.960 align:middle line:84%
so this is just
arbitrary subsets.

01:07:39.960 --> 01:07:45.480 align:middle line:84%
I mean, they don't have to
be pairwise disjoint like one

01:07:45.480 --> 01:07:45.980 align:middle line:90%
and three.

01:07:45.980 --> 01:07:48.140 align:middle line:84%
But so, just an
arbitrary collection.

01:07:48.140 --> 01:07:50.390 align:middle line:84%
If I take the outer
measure of the union,

01:07:50.390 --> 01:07:54.200 align:middle line:84%
this is less than or equal to
the sum of the outer measures.

01:07:54.200 --> 01:08:17.350 align:middle line:90%


01:08:17.350 --> 01:08:20.470 align:middle line:84%
So in particular,
if this collection

01:08:20.470 --> 01:08:26.760 align:middle line:84%
is a collection of
pairwise disjoint sets,

01:08:26.760 --> 01:08:32.640 align:middle line:84%
then the measure of the
hole is less than or equal--

01:08:32.640 --> 01:08:35.850 align:middle line:84%
less than or equal to the sum
of the measure of the parts,

01:08:35.850 --> 01:08:41.609 align:middle line:84%
which is half of the
three that we want.

01:08:41.609 --> 01:08:42.899 align:middle line:90%
So we're getting there.

01:08:42.899 --> 01:08:45.559 align:middle line:84%
But anyways, so
let's prove this.

01:08:45.559 --> 01:08:48.140 align:middle line:90%


01:08:48.140 --> 01:09:03.790 align:middle line:84%
First off, if there
exists an n such

01:09:03.790 --> 01:09:08.790 align:middle line:84%
that it has infinite
outer measure,

01:09:08.790 --> 01:09:12.930 align:middle line:84%
just meaning that that subset
that I'm taking the infimum over

01:09:12.930 --> 01:09:16.529 align:middle line:90%
is unbounded, or--

01:09:16.529 --> 01:09:17.149 align:middle line:90%
no, no, no.

01:09:17.149 --> 01:09:19.520 align:middle line:90%
That's not what I mean.

01:09:19.520 --> 01:09:29.170 align:middle line:84%
But if that infimum
is infinite, meaning

01:09:29.170 --> 01:09:33.850 align:middle line:84%
I can't cover the set by a
collection of intervals with sum

01:09:33.850 --> 01:09:47.279 align:middle line:84%
of links as a finite number,
or the sum is infinite,

01:09:47.279 --> 01:10:02.130 align:middle line:84%
meaning it's not convergent,
then this inequality is true.

01:10:02.130 --> 01:10:06.420 align:middle line:84%
I mean, then I'm
just saying something

01:10:06.420 --> 01:10:09.360 align:middle line:84%
is less than or
equal to infinity.

01:10:09.360 --> 01:10:12.427 align:middle line:84%
Or now I'm treating
infinity like an element

01:10:12.427 --> 01:10:13.635 align:middle line:90%
of the extended real numbers.

01:10:13.635 --> 01:10:17.110 align:middle line:90%


01:10:17.110 --> 01:10:22.180 align:middle line:84%
So if one of the
measures is infinite,

01:10:22.180 --> 01:10:26.030 align:middle line:84%
or if this series diverges and
I just get an infinite number,

01:10:26.030 --> 01:10:28.310 align:middle line:84%
then this inequality
holds trivially.

01:10:28.310 --> 01:10:31.638 align:middle line:84%
So let's just consider
the case when--

01:10:31.638 --> 01:10:34.180 align:middle line:84%
so we just need to consider the
case when all of the measures

01:10:34.180 --> 01:10:38.790 align:middle line:84%
are finite and the sum of
the measures is finite.

01:10:38.790 --> 01:10:50.930 align:middle line:84%
So suppose while n be
an outer measure of

01:10:50.930 --> 01:10:59.245 align:middle line:84%
and the outer measure-- the sum
of the outer measures converges.

01:10:59.245 --> 01:10:59.870 align:middle line:90%
So it's finite.

01:10:59.870 --> 01:11:09.120 align:middle line:90%


01:11:09.120 --> 01:11:13.440 align:middle line:84%
So this is an argument
you have to get used to,

01:11:13.440 --> 01:11:16.440 align:middle line:84%
that instead of proving the
inequality that you want

01:11:16.440 --> 01:11:19.630 align:middle line:84%
to prove, you prove this
inequality plus epsilon,

01:11:19.630 --> 01:11:21.510 align:middle line:84%
where epsilon is an
arbitrary thing--

01:11:21.510 --> 01:11:25.920 align:middle line:84%
arbitrary positive number, just
to give yourself a little room.

01:11:25.920 --> 01:11:28.380 align:middle line:84%
And then if you're able to
prove the inequality you want,

01:11:28.380 --> 01:11:31.680 align:middle line:84%
plus epsilon, where epsilon is
an arbitrary positive number,

01:11:31.680 --> 01:11:36.420 align:middle line:84%
then the inequality holds
by letting epsilon go to 0.

01:11:36.420 --> 01:11:39.320 align:middle line:90%


01:11:39.320 --> 01:11:41.990 align:middle line:84%
So that's the goal
is we're going

01:11:41.990 --> 01:11:45.510 align:middle line:84%
to prove that inequality with an
epsilon on the right-hand side.

01:11:45.510 --> 01:11:46.670 align:middle line:90%
So plus an epsilon.

01:11:46.670 --> 01:11:48.230 align:middle line:90%
Let epsilon be positive.

01:11:48.230 --> 01:11:53.370 align:middle line:90%


01:11:53.370 --> 01:12:01.730 align:middle line:84%
For each n let
collection I n sub k,

01:12:01.730 --> 01:12:15.250 align:middle line:84%
kn natural number, be a
collection of open intervals

01:12:15.250 --> 01:12:16.645 align:middle line:90%
covering a sub n--

01:12:16.645 --> 01:12:21.090 align:middle line:90%


01:12:21.090 --> 01:12:28.240 align:middle line:90%
so I sub n sub k.

01:12:28.240 --> 01:12:32.190 align:middle line:90%


01:12:32.190 --> 01:12:39.390 align:middle line:84%
And so remember, the outer
measure is an infimum.

01:12:39.390 --> 01:12:42.480 align:middle line:84%
So if I go above this
infimum a little bit,

01:12:42.480 --> 01:12:45.840 align:middle line:84%
I can always find a collection
of open intervals covering

01:12:45.840 --> 01:12:48.780 align:middle line:84%
the set whose sum
of links is less

01:12:48.780 --> 01:12:51.480 align:middle line:84%
than that infimum
plus the small number.

01:12:51.480 --> 01:12:58.590 align:middle line:84%
So and sum of k equals
1 to infinity of I n

01:12:58.590 --> 01:13:11.320 align:middle line:90%
sub k is less than 2 to the n.

01:13:11.320 --> 01:13:15.070 align:middle line:84%
Again, just because this
is defined as an infimum,

01:13:15.070 --> 01:13:18.670 align:middle line:84%
and so I can always for any
little bit, if I go above it--

01:13:18.670 --> 01:13:20.710 align:middle line:90%
or a sub n, sorry--

01:13:20.710 --> 01:13:22.960 align:middle line:84%
if I go above it,
then I should be

01:13:22.960 --> 01:13:25.360 align:middle line:84%
able to find a collection
of open intervals

01:13:25.360 --> 01:13:28.660 align:middle line:84%
so that the sum of the
links-- oh, God, what is that?

01:13:28.660 --> 01:13:33.640 align:middle line:84%
Sum of links-- it's
the end of the day.

01:13:33.640 --> 01:13:36.420 align:middle line:84%
So I'm starting to make
careless board mistakes.

01:13:36.420 --> 01:13:54.210 align:middle line:90%


01:13:54.210 --> 01:13:59.670 align:middle line:84%
And now, each of these
collections for each n cover

01:13:59.670 --> 01:14:03.030 align:middle line:90%
the a sub n's.

01:14:03.030 --> 01:14:07.140 align:middle line:84%
And therefore, the
union of the a sub

01:14:07.140 --> 01:14:20.110 align:middle line:84%
n's is contained in the union
of n in n, k in n of I in k.

01:14:20.110 --> 01:14:25.540 align:middle line:84%
So this is a collection
of open intervals covering

01:14:25.540 --> 01:14:27.310 align:middle line:90%
this union is a countable, yes.

01:14:27.310 --> 01:14:31.090 align:middle line:84%
Because it's in one to one
correspondence with n cross n.

01:14:31.090 --> 01:14:36.530 align:middle line:84%
n cross n is, again,
a countable set.

01:14:36.530 --> 01:14:42.620 align:middle line:84%
So this is a countable
collection of open intervals

01:14:42.620 --> 01:14:47.390 align:middle line:90%
covering the union of a sub n.

01:14:47.390 --> 01:14:55.142 align:middle line:84%
And therefore, the measure of
a sub n should be less than

01:14:55.142 --> 01:14:56.600 align:middle line:84%
or equal to the
length of the sums.

01:14:56.600 --> 01:15:08.800 align:middle line:90%


01:15:08.800 --> 01:15:18.280 align:middle line:84%
And this is equal to sum
over n sum over k, I in k.

01:15:18.280 --> 01:15:23.440 align:middle line:90%
And this is less than sum n--

01:15:23.440 --> 01:15:27.220 align:middle line:84%
if I'm summing in k,
remember I have that--

01:15:27.220 --> 01:15:35.700 align:middle line:84%
the sum in k is less
than m star of a sub n

01:15:35.700 --> 01:15:39.480 align:middle line:90%
plus epsilon over 2 to the n.

01:15:39.480 --> 01:15:41.100 align:middle line:90%
And now I'm summing in n.

01:15:41.100 --> 01:15:44.100 align:middle line:84%
So n is going from 1 to
infinity and so is k.

01:15:44.100 --> 01:15:54.260 align:middle line:84%
And so this equals the sum of n,
m star of a sub n plus epsilon.

01:15:54.260 --> 01:15:55.960 align:middle line:90%
So I started with--

01:15:55.960 --> 01:15:59.860 align:middle line:84%
ah, I keep making
silly mistakes.

01:15:59.860 --> 01:16:06.570 align:middle line:90%


01:16:06.570 --> 01:16:07.690 align:middle line:90%
Sorry about that.

01:16:07.690 --> 01:16:12.240 align:middle line:84%
So I started with the measure
of the union of the a sub n's.

01:16:12.240 --> 01:16:14.160 align:middle line:84%
It's less than or
equal to the sum

01:16:14.160 --> 01:16:19.410 align:middle line:84%
of the lengths of these open
intervals that cover this union.

01:16:19.410 --> 01:16:22.845 align:middle line:84%
Because the outer measure is
the infimum over all such sums.

01:16:22.845 --> 01:16:26.190 align:middle line:90%


01:16:26.190 --> 01:16:27.680 align:middle line:90%
So that's equal to this sum.

01:16:27.680 --> 01:16:29.600 align:middle line:84%
How did we choose
these open intervals?

01:16:29.600 --> 01:16:32.810 align:middle line:84%
We chose them so that these
lengths, the sum and k

01:16:32.810 --> 01:16:36.080 align:middle line:84%
of these lengths gives me
approximately the outer measure

01:16:36.080 --> 01:16:38.990 align:middle line:84%
of each a sub n
plus a little error.

01:16:38.990 --> 01:16:41.187 align:middle line:84%
And I chose this error
so that it's summable.

01:16:41.187 --> 01:16:42.770 align:middle line:84%
If I would have just
put epsilon here,

01:16:42.770 --> 01:16:48.670 align:middle line:84%
I would have been summing
something that can't be summed.

01:16:48.670 --> 01:16:51.130 align:middle line:90%
And in the end, I get this.

01:16:51.130 --> 01:16:58.580 align:middle line:84%
So I've shown that for
all epsilon positive,

01:16:58.580 --> 01:17:03.800 align:middle line:84%
the outer measure of
the union is less than

01:17:03.800 --> 01:17:10.070 align:middle line:84%
or equal to the sum of the
outer measures plus epsilon.

01:17:10.070 --> 01:17:11.360 align:middle line:90%
I guess, less than.

01:17:11.360 --> 01:17:14.150 align:middle line:90%


01:17:14.150 --> 01:17:16.670 align:middle line:84%
And now I just let
epsilon go to 0.

01:17:16.670 --> 01:17:17.990 align:middle line:90%
And I conclude that--

01:17:17.990 --> 01:17:28.750 align:middle line:90%


01:17:28.750 --> 01:17:29.725 align:middle line:90%
the bound that I want.

01:17:29.725 --> 01:17:35.260 align:middle line:90%


01:17:35.260 --> 01:17:37.660 align:middle line:84%
So this also gives
a second proof,

01:17:37.660 --> 01:17:40.740 align:middle line:84%
if you like, of what
we proved a minute ago,

01:17:40.740 --> 01:17:43.650 align:middle line:84%
that countable sets
have measure 0.

01:17:43.650 --> 01:17:46.840 align:middle line:84%
And if you-- and what
we did right there,

01:17:46.840 --> 01:17:51.030 align:middle line:90%
which is one element.

01:17:51.030 --> 01:17:55.170 align:middle line:84%
We proved that the set
containing one element

01:17:55.170 --> 01:17:57.390 align:middle line:90%
has outer measure 0.

01:17:57.390 --> 01:18:02.910 align:middle line:84%
Now, a countable set is equal
to a union of such sets.

01:18:02.910 --> 01:18:06.090 align:middle line:84%
We've shown that the outer
measure of this union,

01:18:06.090 --> 01:18:08.460 align:middle line:84%
which would be this
countable set, is less than

01:18:08.460 --> 01:18:12.150 align:middle line:84%
or equal to the sum of the outer
measure of the individual points

01:18:12.150 --> 01:18:12.990 align:middle line:90%
in that set.

01:18:12.990 --> 01:18:15.930 align:middle line:84%
And we did, in this
example, we did it for 0.

01:18:15.930 --> 01:18:18.180 align:middle line:84%
But it doesn't
matter that it was 0,

01:18:18.180 --> 01:18:20.490 align:middle line:84%
that the outer measure
of a singleton, a set

01:18:20.490 --> 01:18:21.990 align:middle line:90%
with a single point, is 0.

01:18:21.990 --> 01:18:24.210 align:middle line:84%
And therefore, the
sum would be 0.

01:18:24.210 --> 01:18:29.290 align:middle line:84%
And we would conclude that the
outer measure of countable set

01:18:29.290 --> 01:18:29.860 align:middle line:90%
is 0.

01:18:29.860 --> 01:18:35.710 align:middle line:84%
So that's a second proof
showing that the outer measure

01:18:35.710 --> 01:18:36.865 align:middle line:90%
of a countable set is 0.

01:18:36.865 --> 01:18:41.990 align:middle line:90%


01:18:41.990 --> 01:18:45.290 align:middle line:84%
So we've shown that
outer measure is--

01:18:45.290 --> 01:18:47.000 align:middle line:84%
so this is something
that's defined

01:18:47.000 --> 01:18:53.460 align:middle line:84%
for every subset of real numbers
and that it satisfies three.

01:18:53.460 --> 01:18:58.580 align:middle line:84%
Now, I'm going to
leave-- it's actually

01:18:58.580 --> 01:19:02.870 align:middle line:84%
going to be an exercise
in the assignment,

01:19:02.870 --> 01:19:05.930 align:middle line:84%
that outer measure
also satisfies four.

01:19:05.930 --> 01:19:08.390 align:middle line:84%
The outer measure
of a set shifted

01:19:08.390 --> 01:19:11.780 align:middle line:84%
is equal to the outer
measure of the original set.

01:19:11.780 --> 01:19:13.250 align:middle line:90%
Why is this?

01:19:13.250 --> 01:19:15.950 align:middle line:84%
A way to think about
it is that if something

01:19:15.950 --> 01:19:20.000 align:middle line:84%
holds for open intervals it
should hold for outer measure.

01:19:20.000 --> 01:19:27.140 align:middle line:84%
Because outer measure is
defined in terms of sums

01:19:27.140 --> 01:19:29.000 align:middle line:90%
of lengths of open intervals.

01:19:29.000 --> 01:19:32.970 align:middle line:84%
So if I take an open
interval and shift it,

01:19:32.970 --> 01:19:37.230 align:middle line:84%
then it's length
does not change.

01:19:37.230 --> 01:19:40.800 align:middle line:84%
The length of ab is the
same as the length of a plus

01:19:40.800 --> 01:19:42.990 align:middle line:90%
x to b plus x.

01:19:42.990 --> 01:19:46.710 align:middle line:84%
So it's going to be an
exercise in the assignment,

01:19:46.710 --> 01:19:49.590 align:middle line:84%
that outer measure, in
fact, satisfies four.

01:19:49.590 --> 01:19:52.110 align:middle line:84%
So what's left, and
what we'll do next time,

01:19:52.110 --> 01:19:55.440 align:middle line:84%
is show that if
I is an interval,

01:19:55.440 --> 01:19:58.470 align:middle line:84%
that the outer
measure is the same

01:19:58.470 --> 01:20:01.170 align:middle line:90%
as the length of the interval.

01:20:01.170 --> 01:20:04.530 align:middle line:84%
And as intuitive as that is, it
takes just a little bit of work

01:20:04.530 --> 01:20:06.250 align:middle line:90%
to show--

01:20:06.250 --> 01:20:09.760 align:middle line:90%
not too much, but just a little.

01:20:09.760 --> 01:20:14.020 align:middle line:84%
And that will complete our
construction of outer measure

01:20:14.020 --> 01:20:23.160 align:middle line:84%
which is this set function
which satisfies one through four

01:20:23.160 --> 01:20:26.100 align:middle line:90%
but not three really.

01:20:26.100 --> 01:20:29.310 align:middle line:90%
It satisfies almost three.

01:20:29.310 --> 01:20:31.980 align:middle line:84%
And then, once we restrict
that outer measure

01:20:31.980 --> 01:20:38.610 align:middle line:84%
to a certain class of subsets,
certain well-behaved subsets,

01:20:38.610 --> 01:20:40.620 align:middle line:90%
then we'll be able to get three.

01:20:40.620 --> 01:20:44.670 align:middle line:84%
And that class of
well-behaved subsets

01:20:44.670 --> 01:20:48.490 align:middle line:84%
we will call Lebesgue
measurable sets.

01:20:48.490 --> 01:20:48.990 align:middle line:90%
All right.

01:20:48.990 --> 01:20:51.440 align:middle line:90%
So I think we'll stop there.

01:20:51.440 --> 01:20:58.000 align:middle line:90%