WEBVTT

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[SQUEAKING]

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[RUSTLING]

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[CLICKING]

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TOBIAS COLDING: Last
time we talked apart

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the basic algebraic operation
for limit of sequences.

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We talked about the monotone
convergence theorem.

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So the monotone
convergence theorem

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was that you had a sequence
that was increasing

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or it could be decreasing.

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So either it was increasing--

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this meant that the
next element was bigger

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or equal to the previous.

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And then they were all
assumed to be bounded.

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If you had such a
sequence, or similarly

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if you had a sequence-- so
this was the increasing case.

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Then there was a
similar decreasing case

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where the previous is bigger
or equal to the next one.

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And then they are assumed
to be bounded from below.

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So this was decreasing.

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So monotone
convergence theorem was

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that if you had a
bounded increasing

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sequence or a bounded decreasing
sequence, in either case,

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the sequence is convergent
and it's converging,

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in the first case,
in this case here,

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a, it's converged to the sup of
the xn, so this is in case a.

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And in this case b, it
converges to the nth in case b.

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So that was the monotone
convergence theorem.

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And the third thing
we talked about,

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and that's where we
will continue today,

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is Cauchy sequence.

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So we talked about
Cauchy sequence.

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So let me-- and we proved a few
things about Cauchy sequence

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from what I examined
that for today.

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So let me remind you what
a Cauchy sequence is.

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So a sequence xn is said
to be a Cauchy sequence

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if, for all epsilon greater than
0, there exists n such that.

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if little n is big or equal
to the capital N, then--

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sorry, if little n and little m.

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So if n and m--

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m and n are bigger
or equal, then

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they are epsilon close together
xn and xm distance between them

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is a distribution.

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So this was a Cauchy sequence.

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And it just meant-- the
Cauchy sequence just

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meant that the tail of the
sequence bunched together.

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Now let me just prove--

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I think we maybe talk
about this, but let me--

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but I'm going to--

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let me just do a
little theorem here.

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If xn is a Cauchy sequence,
then xn is bounded.

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And so the proof of
this is [? the ?] proof.

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So now in the definition of
it being a Cauchy sequence,

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you can take epsilon
to be equal to 1.

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So if you take epsilon
to be equal to 1

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in the definition of
being a Cauchy sequence,

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so this means that they exist.

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They exist.

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They exist some n such that
if little n and little m

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are bigger than this n, then
the difference between these two

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is less than 1.

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This is the definition
where we just

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apply it to epsilon equal to 1.

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So you have this.

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But of course, in particular,
we can set say m equal to this.

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Right.

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And then you have that xn--

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all the other ones.

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This means that for all the
[INAUDIBLE] for all little n

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bigger than capital N, if you're
looking at this difference here,

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then this is less than 1.

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I'm only applying this now and
just choosing just one single m.

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And I'm choosing it to
be equal to that capital.

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Do you have that?

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And so this means that now
you see that if you take--

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so if you take x--

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so now suppose that little n--

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so for little n
bigger than capital N,

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if you look at little
n, then you have--

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[INAUDIBLE] for little n
bigger or equal to capital N,

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then you have that
norm of little n

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where you can write little
n as the difference.

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You can write little n.

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You can subtract it first
and then add it again.

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So this has stayed the same.

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And now you can just--

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so you have the
sum of two things.

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You can think about this
thing here is one number

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and this is another number.

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So this is now less
than xn minus x capital

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N plus the norm of x
capital N. And this here

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was because little n was
bigger than capital N.

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This is bounded by 1.

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So this is less than
1 plus the norm.

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This.

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Right.

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So you see that for
all the little n's

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that are bigger than
capital, all of those,

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there is a uniform branch.

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And so this means that
if you're now just taking

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the maximum of the norm
of x1, the norm of x2

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up to the norm of xn minus--

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sorry, xn minus 1, and
then x capital n plus 1,

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if you take the maximum of this
and call this m, then, clearly,

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for all n--

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for all n, clearly,
you have for all n,

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you have that xn is
less than or equal to n

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because if little n is
bigger than capital N,

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then it's bounded by
capital M because it's

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a maximum in particular of
this and all the other ones.

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That's obvious.

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So it means that if you
have a Cauchy sequence,

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it's automatically bounded.

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Now we have the Cauchy
convergence theorem.

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So next, we will discuss
is the Cauchy convergence.

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So this is the following
that any Cauchy sequence

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is convergent.

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So remember that last time we
proved the following theorem.

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So recall that last time
we showed the converse.

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So namely, we proved
the following theorem.

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We proved that if--

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that any convergent sequence
is a Cauchy sequence.

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And so the Cauchy
convergence theorem

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is just a converse
[? convergence. ?]

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Now, so we've come back to the
proof in just a little bit.

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But before that, let me talk
about some applications.

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And so the first one we started
talking a little bit last time.

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And this is the contracting
mapping theorem.

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So contracting.

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And that, in itself, have
a number of applications.

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So contracting mapping theorem.

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And for that, I need some--

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I need to recall
some definitions.

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So a map-- at map
T from R into R

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is said to be a contracting
map if there exists

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some constant c positive.

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c is positive.

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And the key point is it
will have to be positive.

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But the key point is
that this constant

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has to be strictly less than 1.

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And then contracting
mapping just

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means that if you are
looking at the difference

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between the images, then
they are closer together.

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They're strictly closer
together than the point

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that they are images of.

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OK.

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So this is a contracting map.

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So the contracting mapping
again, this here inequality is--

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it's saying that, under
the map, the images

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are squeezed more together.

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So now that's one concept.

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The other one we need
is that for fixed point.

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The other concept
is fixed point.

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So x here is a fixed point.

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For a map T, if it is under the
map, the point remain unchanged.

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So T of x is equal to x.

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So this is what it needs to be.

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Yeah.

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STUDENT: But for that, it's
not the same c for all x and y.

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TOBIAS COLDING: It
is the same C. It is.

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Yeah.

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It's the same thing.

00:14:04.880 --> 00:14:05.470 align:middle line:90%
Yeah.

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And we'll come back to
this in just a second.

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But it is supposed
to be the same c.

00:14:13.780 --> 00:14:16.660 align:middle line:84%
You can weaken
that a little bit.

00:14:16.660 --> 00:14:19.575 align:middle line:84%
But essentially, I mean you
sort of, you know, [INAUDIBLE].

00:14:19.575 --> 00:14:21.200 align:middle line:84%
We'll talk about this
in just a second.

00:14:21.200 --> 00:14:23.120 align:middle line:90%
But it's important.

00:14:23.120 --> 00:14:25.870 align:middle line:84%
Just think about it,
that it's a requirement

00:14:25.870 --> 00:14:28.010 align:middle line:90%
that it's the same c for all.

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And the key point is that this
c is strictly less than 1.

00:14:32.940 --> 00:14:33.440 align:middle line:90%
OK.

00:14:33.440 --> 00:14:34.650 align:middle line:90%
So this is a fixed point.

00:14:34.650 --> 00:14:41.020 align:middle line:90%


00:14:41.020 --> 00:14:47.895 align:middle line:84%
So now the first
[? theorem ?] is that--

00:14:47.895 --> 00:14:51.100 align:middle line:90%


00:14:51.100 --> 00:14:52.605 align:middle line:90%
so we have a Lemma here.

00:14:52.605 --> 00:14:58.150 align:middle line:90%


00:14:58.150 --> 00:15:21.160 align:middle line:84%
If T here is a contracting
map, then there's

00:15:21.160 --> 00:15:22.670 align:middle line:90%
at most one fixed point.

00:15:22.670 --> 00:15:32.050 align:middle line:90%


00:15:32.050 --> 00:15:34.240 align:middle line:84%
And there cannot be more
than one fixed point.

00:15:34.240 --> 00:15:37.570 align:middle line:90%
So let's prove that.

00:15:37.570 --> 00:15:38.180 align:middle line:90%
So proof.

00:15:38.180 --> 00:15:41.500 align:middle line:90%


00:15:41.500 --> 00:15:42.290 align:middle line:90%
So yeah.

00:15:42.290 --> 00:15:49.250 align:middle line:84%
So I'm going to-- so suppose
x and y are fixed points.

00:15:49.250 --> 00:15:52.780 align:middle line:90%


00:15:52.780 --> 00:15:58.265 align:middle line:84%
And I want to show
that x is equal to y.

00:15:58.265 --> 00:16:03.160 align:middle line:90%
So I'm looking at the images.

00:16:03.160 --> 00:16:09.890 align:middle line:90%
So let's continue on.

00:16:09.890 --> 00:16:30.490 align:middle line:90%


00:16:30.490 --> 00:16:33.620 align:middle line:84%
So I'm looking at
the images under f.

00:16:33.620 --> 00:16:35.180 align:middle line:90%
So I'm looking at--

00:16:35.180 --> 00:16:38.580 align:middle line:90%
so I take T of x.

00:16:38.580 --> 00:16:40.440 align:middle line:84%
And I'm looking
at the difference

00:16:40.440 --> 00:16:44.160 align:middle line:90%
between T of x and T of y.

00:16:44.160 --> 00:16:48.300 align:middle line:84%
And I want to estimate
that difference.

00:16:48.300 --> 00:16:52.780 align:middle line:84%
Well, on one hand, x is
supposed to be a fixed point.

00:16:52.780 --> 00:16:54.670 align:middle line:90%
So T of x is the same as x.

00:16:54.670 --> 00:16:56.940 align:middle line:90%
And likewise, for y.

00:16:56.940 --> 00:16:58.660 align:middle line:90%
So this here is the same.

00:16:58.660 --> 00:17:00.360 align:middle line:90%
So T of x is the same as x.

00:17:00.360 --> 00:17:03.910 align:middle line:84%
T of y is supposed
to be the same as y.

00:17:03.910 --> 00:17:05.700 align:middle line:90%
So I have this.

00:17:05.700 --> 00:17:08.410 align:middle line:84%
On the other hand,
it's a contracting map.

00:17:08.410 --> 00:17:12.210 align:middle line:84%
So this here is less
than or equal to c

00:17:12.210 --> 00:17:16.829 align:middle line:90%
times the norm of x minus y.

00:17:16.829 --> 00:17:19.150 align:middle line:90%
But now c here--

00:17:19.150 --> 00:17:22.349 align:middle line:84%
remember c is
strictly less than 1.

00:17:22.349 --> 00:17:26.020 align:middle line:84%
So you can only have an
inequality like this, right,

00:17:26.020 --> 00:17:31.030 align:middle line:84%
if this number here is 0, right,
when c is strictly less than 1.

00:17:31.030 --> 00:17:39.240 align:middle line:84%
So this here implies that x
minus y, the distance is zero.

00:17:39.240 --> 00:17:43.550 align:middle line:84%
So of course, this means
that x is equal to y.

00:17:43.550 --> 00:17:44.050 align:middle line:90%
OK.

00:17:44.050 --> 00:17:45.720 align:middle line:90%
So that's what we want to prove.

00:17:45.720 --> 00:17:46.684 align:middle line:90%
Yeah?

00:17:46.684 --> 00:17:49.645 align:middle line:90%
STUDENT: [INAUDIBLE]

00:17:49.645 --> 00:17:50.520 align:middle line:90%
TOBIAS COLDING: Yeah.

00:17:50.520 --> 00:17:51.330 align:middle line:90%
I'm sorry.

00:17:51.330 --> 00:17:53.400 align:middle line:90%
That was-- yeah.

00:17:53.400 --> 00:17:58.350 align:middle line:84%
It should have been this
sequence because otherwise it

00:17:58.350 --> 00:17:59.280 align:middle line:90%
wouldn't be--

00:17:59.280 --> 00:18:02.610 align:middle line:90%
if x is equal to y equal to z.

00:18:02.610 --> 00:18:04.540 align:middle line:90%
So it should be the same.

00:18:04.540 --> 00:18:07.770 align:middle line:90%


00:18:07.770 --> 00:18:13.650 align:middle line:84%
So our constructing maps
have at most one fixed point.

00:18:13.650 --> 00:18:14.910 align:middle line:90%
Okay.

00:18:14.910 --> 00:18:19.920 align:middle line:90%
Now, let's-- so let me just--

00:18:19.920 --> 00:18:21.640 align:middle line:90%
so you're going to prove this.

00:18:21.640 --> 00:18:31.500 align:middle line:84%
So I have harassed the graders
to give you back the homework.

00:18:31.500 --> 00:18:32.910 align:middle line:90%
It should be back today.

00:18:32.910 --> 00:18:35.310 align:middle line:84%
I mean otherwise
they're in trouble.

00:18:35.310 --> 00:18:36.670 align:middle line:90%
So hopefully.

00:18:36.670 --> 00:18:41.370 align:middle line:84%
And the assignment for next
week is already posted.

00:18:41.370 --> 00:18:46.545 align:middle line:90%
And here is-- here's--

00:18:46.545 --> 00:18:49.590 align:middle line:90%


00:18:49.590 --> 00:18:51.880 align:middle line:90%
so this is on the next--

00:18:51.880 --> 00:18:59.810 align:middle line:84%
so I will-- so here's
something on P set 4.

00:18:59.810 --> 00:19:03.090 align:middle line:90%


00:19:03.090 --> 00:19:05.910 align:middle line:90%
And I think it's--

00:19:05.910 --> 00:19:06.580 align:middle line:90%
OK.

00:19:06.580 --> 00:19:07.080 align:middle line:90%
Yeah.

00:19:07.080 --> 00:19:08.440 align:middle line:90%
I forget which one it is.

00:19:08.440 --> 00:19:11.640 align:middle line:84%
But anyway, on the
third P set, you

00:19:11.640 --> 00:19:14.910 align:middle line:84%
will be asked to
prove the following,

00:19:14.910 --> 00:19:28.410 align:middle line:84%
that if T here is
a contracting map,

00:19:28.410 --> 00:19:34.910 align:middle line:84%
and x here is any
point, any point

00:19:34.910 --> 00:19:46.400 align:middle line:84%
in the domain of this map, then
if you form the sequence a n--

00:19:46.400 --> 00:19:52.250 align:middle line:90%
sorry, a1, that's just x, a2--

00:19:52.250 --> 00:19:53.750 align:middle line:90%
let's call it a-- sorry.

00:19:53.750 --> 00:20:04.190 align:middle line:84%
Let's call it a0 is x, a1
here is T of x, T of x is 0.

00:20:04.190 --> 00:20:05.500 align:middle line:90%
So this is T of x.

00:20:05.500 --> 00:20:09.680 align:middle line:90%


00:20:09.680 --> 00:20:14.360 align:middle line:90%
And a2 is T of a1.

00:20:14.360 --> 00:20:18.240 align:middle line:84%
So this is the
same as T of this.

00:20:18.240 --> 00:20:24.445 align:middle line:84%
So this is T times T of x,
which I will write like this.

00:20:24.445 --> 00:20:27.260 align:middle line:90%


00:20:27.260 --> 00:20:34.670 align:middle line:84%
And a3-- so we continue
this way. a3 is T of a2 so

00:20:34.670 --> 00:20:43.220 align:middle line:84%
that is T applied three
times, so T T T of x.

00:20:43.220 --> 00:20:50.430 align:middle line:84%
And I'm going to write this
as T cubed of x and so on.

00:20:50.430 --> 00:20:56.490 align:middle line:90%
So a n is going to be T of a.

00:20:56.490 --> 00:21:07.200 align:middle line:84%
Sorry, it's T of a n plus
1 is going to be T of a n.

00:21:07.200 --> 00:21:14.420 align:middle line:84%
So that's the same as t to
the power n plus 1 of x.

00:21:14.420 --> 00:21:17.150 align:middle line:90%


00:21:17.150 --> 00:21:23.210 align:middle line:84%
So if you have a contracting
map and you start with any point

00:21:23.210 --> 00:21:26.450 align:middle line:84%
you want, and now you
form a sequence that

00:21:26.450 --> 00:21:31.190 align:middle line:84%
is based on that point
and the n-th element

00:21:31.190 --> 00:21:33.620 align:middle line:84%
is just where you
have applied the map

00:21:33.620 --> 00:21:36.410 align:middle line:90%
n times to the original point.

00:21:36.410 --> 00:21:42.020 align:middle line:84%
So if you form that sequence,
then you will prove--

00:21:42.020 --> 00:21:44.253 align:middle line:90%
you will show that--

00:21:44.253 --> 00:21:47.450 align:middle line:90%


00:21:47.450 --> 00:21:54.740 align:middle line:84%
in the homework, you will show
that this sequence, so P63--

00:21:54.740 --> 00:22:00.050 align:middle line:84%
and I will just do
a special case of it

00:22:00.050 --> 00:22:01.670 align:middle line:90%
that you will start with.

00:22:01.670 --> 00:22:07.100 align:middle line:84%
But we'll just do this now
and then the rest you'll do--

00:22:07.100 --> 00:22:08.670 align:middle line:90%
I'll leave for the homework.

00:22:08.670 --> 00:22:15.505 align:middle line:84%
But on P set 3, you prove that
this a n is a Cauchy sequence.

00:22:15.505 --> 00:22:22.100 align:middle line:90%


00:22:22.100 --> 00:22:25.400 align:middle line:84%
And what is the
key starting point?

00:22:25.400 --> 00:22:30.530 align:middle line:90%
So key starting point for this.

00:22:30.530 --> 00:22:38.990 align:middle line:84%
So now, because you hear, you're
already well started on P set 3,

00:22:38.990 --> 00:22:40.790 align:middle line:84%
There's a key starting
point for this

00:22:40.790 --> 00:22:43.430 align:middle line:84%
is to prove that it's
a Cauchy sequence.

00:22:43.430 --> 00:22:46.490 align:middle line:90%
So I want to estimate.

00:22:46.490 --> 00:22:48.320 align:middle line:90%
So this is not enough.

00:22:48.320 --> 00:22:50.060 align:middle line:90%
I mean I need to prove--

00:22:50.060 --> 00:22:52.460 align:middle line:90%
what I need to show is--

00:22:52.460 --> 00:22:58.160 align:middle line:84%
remember I need to prove that
when little m and little n

00:22:58.160 --> 00:23:00.560 align:middle line:84%
are sufficiently
large, then I want

00:23:00.560 --> 00:23:03.080 align:middle line:84%
to estimate the distance
between these two

00:23:03.080 --> 00:23:05.190 align:middle line:84%
and show that they
are bunched together.

00:23:05.190 --> 00:23:08.210 align:middle line:84%
That's what we need to
prove this Cauchy sequence.

00:23:08.210 --> 00:23:12.230 align:middle line:84%
I won't quite do this,
but I'll do a special case

00:23:12.230 --> 00:23:14.450 align:middle line:90%
that is a key starting point.

00:23:14.450 --> 00:23:18.300 align:middle line:84%
And that is the way I'm
looking at this thing here.

00:23:18.300 --> 00:23:21.960 align:middle line:84%
I'm looking at two consecutive
elements in the sequence.

00:23:21.960 --> 00:23:24.590 align:middle line:84%
And I'm estimating the
distance between them.

00:23:24.590 --> 00:23:27.320 align:middle line:84%
That's not enough to prove
that's a Cauchy sequence,

00:23:27.320 --> 00:23:30.770 align:middle line:84%
right, because I need
to prove that for all n

00:23:30.770 --> 00:23:32.510 align:middle line:90%
and m sufficiently large.

00:23:32.510 --> 00:23:36.870 align:middle line:84%
And I'm just proving here that
for any n sufficiently large,

00:23:36.870 --> 00:23:39.530 align:middle line:84%
if I'm looking at
the neighbor, then

00:23:39.530 --> 00:23:41.450 align:middle line:90%
this distance is very small.

00:23:41.450 --> 00:23:45.570 align:middle line:84%
You can use the estimates
that, we will now

00:23:45.570 --> 00:23:50.090 align:middle line:84%
prove to prove that it is,
in fact, a Cauchy sequence.

00:23:50.090 --> 00:23:53.400 align:middle line:84%
So in order to
estimate this right,

00:23:53.400 --> 00:24:01.790 align:middle line:84%
I can think about this thing
here as a to the n plus 1.

00:24:01.790 --> 00:24:09.500 align:middle line:84%
This here is just T of a
to the n and a n itself.

00:24:09.500 --> 00:24:13.890 align:middle line:84%
This is T of the
previous element, right?

00:24:13.890 --> 00:24:16.220 align:middle line:90%
This is how we define them.

00:24:16.220 --> 00:24:19.310 align:middle line:84%
So this means that this
thing here-- so again, I

00:24:19.310 --> 00:24:21.120 align:middle line:90%
can just write this in here.

00:24:21.120 --> 00:24:27.915 align:middle line:84%
So this thing is equal to
a n minus T of a n minus 1.

00:24:27.915 --> 00:24:31.720 align:middle line:90%


00:24:31.720 --> 00:24:35.800 align:middle line:84%
And now I can use that
contracting map because now I

00:24:35.800 --> 00:24:37.790 align:middle line:90%
have these two T's here.

00:24:37.790 --> 00:24:39.950 align:middle line:84%
So I can use this
contracting map.

00:24:39.950 --> 00:24:46.780 align:middle line:84%
So I get less than or equal to
and then a n minus a n minus 1.

00:24:46.780 --> 00:24:50.930 align:middle line:84%
And so you see that
that's the next--

00:24:50.930 --> 00:24:53.800 align:middle line:84%
the distance between
the next pair

00:24:53.800 --> 00:24:56.900 align:middle line:84%
is because c is
strictly less than 1.

00:24:56.900 --> 00:24:59.740 align:middle line:84%
It has decreased
with some factor.

00:24:59.740 --> 00:25:00.760 align:middle line:90%
Right?

00:25:00.760 --> 00:25:03.910 align:middle line:84%
And so now the
key starting point

00:25:03.910 --> 00:25:06.750 align:middle line:84%
is that if you
just iterate this--

00:25:06.750 --> 00:25:14.560 align:middle line:90%


00:25:14.560 --> 00:25:22.300 align:middle line:84%
so now if I iterate this, so I'm
looking at a n plus 1 minus a n.

00:25:22.300 --> 00:25:24.940 align:middle line:84%
And I now have that
this thing here

00:25:24.940 --> 00:25:30.370 align:middle line:84%
is less than c a n
minus a n minus 1.

00:25:30.370 --> 00:25:32.330 align:middle line:90%
But now I'm writing--

00:25:32.330 --> 00:25:34.190 align:middle line:90%
forget about the c for a second.

00:25:34.190 --> 00:25:35.840 align:middle line:84%
I'm just writing
this thing here,

00:25:35.840 --> 00:25:38.270 align:middle line:90%
so I do the same thing again.

00:25:38.270 --> 00:25:42.760 align:middle line:84%
I write this here as the
image of a n minus 1.

00:25:42.760 --> 00:25:49.340 align:middle line:84%
And I write this n minus 1 as
the image of the previous one,

00:25:49.340 --> 00:25:51.340 align:middle line:90%
so n minus 2.

00:25:51.340 --> 00:25:52.010 align:middle line:90%
Right?

00:25:52.010 --> 00:25:54.080 align:middle line:90%
And now so I write this.

00:25:54.080 --> 00:25:57.740 align:middle line:84%
So c here I just have to
carry along for the ride.

00:25:57.740 --> 00:26:06.430 align:middle line:84%
And then I have T a n minus
1 minus T a n minus 2.

00:26:06.430 --> 00:26:08.150 align:middle line:90%
And now forget about this.

00:26:08.150 --> 00:26:10.520 align:middle line:84%
Just use this
contracting mapping.

00:26:10.520 --> 00:26:13.570 align:middle line:84%
So then this is less
than or equal to.

00:26:13.570 --> 00:26:16.220 align:middle line:84%
And then this c here
I have to carry along.

00:26:16.220 --> 00:26:19.440 align:middle line:84%
But then there's
another c that pops out.

00:26:19.440 --> 00:26:19.940 align:middle line:90%
Right.

00:26:19.940 --> 00:26:23.820 align:middle line:84%
So this times c, that pops
out because of the contracting

00:26:23.820 --> 00:26:24.700 align:middle line:90%
mapping.

00:26:24.700 --> 00:26:30.420 align:middle line:84%
And then a n minus
1 minus a n minus 2.

00:26:30.420 --> 00:26:32.130 align:middle line:84%
And so you see that
you have written this

00:26:32.130 --> 00:26:39.210 align:middle line:84%
as c squared a n minus 2
minus 1 minus a n minus 2.

00:26:39.210 --> 00:26:41.380 align:middle line:90%
And so now you continue it.

00:26:41.380 --> 00:26:44.800 align:middle line:84%
And so you see that the
further out you get--

00:26:44.800 --> 00:26:47.520 align:middle line:84%
so you continue this
all the way down

00:26:47.520 --> 00:26:52.030 align:middle line:84%
to that you're getting that this
element is the initial point

00:26:52.030 --> 00:26:55.260 align:middle line:84%
and this one is
the first, your a1.

00:26:55.260 --> 00:26:57.900 align:middle line:90%
This is a0 and this is a1.

00:26:57.900 --> 00:26:59.970 align:middle line:90%
Right.

00:26:59.970 --> 00:27:02.640 align:middle line:84%
And so you see that
you're getting something

00:27:02.640 --> 00:27:09.690 align:middle line:84%
which is like ac to some
power n times the distance

00:27:09.690 --> 00:27:11.130 align:middle line:90%
that you started with.

00:27:11.130 --> 00:27:18.060 align:middle line:84%
So this is bounded by something
like c to the n times a to 1

00:27:18.060 --> 00:27:22.890 align:middle line:90%
minus a0, something like that.

00:27:22.890 --> 00:27:24.940 align:middle line:84%
And so that's a
key starting point.

00:27:24.940 --> 00:27:27.420 align:middle line:84%
So if you are going
very, very far out,

00:27:27.420 --> 00:27:31.260 align:middle line:84%
remember that this number
is smaller than 1 so

00:27:31.260 --> 00:27:35.700 align:middle line:84%
this here will become incredibly
small when n is large.

00:27:35.700 --> 00:27:36.900 align:middle line:90%
Right.

00:27:36.900 --> 00:27:41.010 align:middle line:84%
And so this is the
key starting point

00:27:41.010 --> 00:27:44.760 align:middle line:84%
to prove that if you
take a contracting map,

00:27:44.760 --> 00:27:49.800 align:middle line:84%
you start with any point, and
you form this sequence here,

00:27:49.800 --> 00:27:51.290 align:middle line:90%
then it's a Cauchy sequence.

00:27:51.290 --> 00:27:54.960 align:middle line:90%


00:27:54.960 --> 00:27:56.810 align:middle line:84%
And I leave the rest
for the homework.

00:27:56.810 --> 00:28:00.810 align:middle line:90%


00:28:00.810 --> 00:28:05.220 align:middle line:84%
So now let's prove the
contracting mapping

00:28:05.220 --> 00:28:09.450 align:middle line:84%
theorem using the Cauchy
convergence theorem.

00:28:09.450 --> 00:28:27.390 align:middle line:84%
So using the Cauchy
convergence theorem now

00:28:27.390 --> 00:28:29.740 align:middle line:84%
through the contracting
mapping theorem.

00:28:29.740 --> 00:28:45.330 align:middle line:90%


00:28:45.330 --> 00:28:48.180 align:middle line:84%
So what is a contracting
mapping theorem?

00:28:48.180 --> 00:28:50.040 align:middle line:84%
The contracting
mapping theorem is

00:28:50.040 --> 00:29:02.400 align:middle line:84%
that if T here is a contracting
map, so T from T from R to R,

00:29:02.400 --> 00:29:17.830 align:middle line:84%
maps R into R is a contracting
map, then T has a fixed point.

00:29:17.830 --> 00:29:23.460 align:middle line:90%


00:29:23.460 --> 00:29:26.760 align:middle line:84%
We already know that such
a fixed point is unique.

00:29:26.760 --> 00:29:30.810 align:middle line:84%
We already proved that it can
and must be one fixed point.

00:29:30.810 --> 00:29:31.330 align:middle line:90%
OK.

00:29:31.330 --> 00:29:33.030 align:middle line:90%
So let's try to prove that.

00:29:33.030 --> 00:29:50.475 align:middle line:84%
So we're going to use this
result from P set 3 to prove it.

00:29:50.475 --> 00:30:00.390 align:middle line:90%


00:30:00.390 --> 00:30:04.200 align:middle line:90%
So I start with any point, x.

00:30:04.200 --> 00:30:06.690 align:middle line:90%
You pick any point you want.

00:30:06.690 --> 00:30:12.690 align:middle line:84%
And then we form the sequence,
where you apply this here,

00:30:12.690 --> 00:30:15.160 align:middle line:90%
the n time to x.

00:30:15.160 --> 00:30:19.560 align:middle line:90%


00:30:19.560 --> 00:30:23.660 align:middle line:90%
So then we have--

00:30:23.660 --> 00:30:33.700 align:middle line:84%
So this from P set 2 that
a n is a Cauchy sequence.

00:30:33.700 --> 00:30:44.420 align:middle line:90%


00:30:44.420 --> 00:31:05.600 align:middle line:84%
But then from Cauchy
convergence theorem,

00:31:05.600 --> 00:31:12.200 align:middle line:84%
we have that a n is
converging, that this here

00:31:12.200 --> 00:31:13.950 align:middle line:90%
is a Cauchy sequence.

00:31:13.950 --> 00:31:17.810 align:middle line:84%
But the convergence theorems
say that any Cauchy sequence

00:31:17.810 --> 00:31:19.290 align:middle line:90%
is actually convergent.

00:31:19.290 --> 00:31:22.910 align:middle line:90%
So this here converge to some a.

00:31:22.910 --> 00:31:26.850 align:middle line:84%
And now the idea is
that we want to show--

00:31:26.850 --> 00:31:38.730 align:middle line:84%
so we want to show that
a is a fixed point.

00:31:38.730 --> 00:31:46.040 align:middle line:90%


00:31:46.040 --> 00:31:46.980 align:middle line:90%
So that's the idea.

00:31:46.980 --> 00:31:53.660 align:middle line:90%


00:31:53.660 --> 00:31:58.130 align:middle line:84%
The contracting mapping theorem
is actually extremely powerful.

00:31:58.130 --> 00:32:05.180 align:middle line:84%
It, again, can be
used to solve what's

00:32:05.180 --> 00:32:08.960 align:middle line:84%
called ODE, Ordinary
Differential Equations.

00:32:08.960 --> 00:32:11.660 align:middle line:84%
And we'll talk a little bit
about that at some later point

00:32:11.660 --> 00:32:12.480 align:middle line:90%
in the class.

00:32:12.480 --> 00:32:18.840 align:middle line:84%
But it can also be used to solve
PDEs, which is more complicated,

00:32:18.840 --> 00:32:21.050 align:middle line:84%
Partial Differential
Equations, and in all kinds

00:32:21.050 --> 00:32:22.450 align:middle line:90%
of other areas of math.

00:32:22.450 --> 00:32:27.700 align:middle line:90%


00:32:27.700 --> 00:32:28.200 align:middle line:90%
OK.

00:32:28.200 --> 00:32:32.470 align:middle line:84%
So now we want to prove that
this a here is a fixed point.

00:32:32.470 --> 00:32:41.510 align:middle line:90%


00:32:41.510 --> 00:32:42.090 align:middle line:90%
All right.

00:32:42.090 --> 00:32:44.960 align:middle line:90%


00:32:44.960 --> 00:32:47.330 align:middle line:84%
And we'll come back
in just a minute

00:32:47.330 --> 00:32:52.260 align:middle line:84%
to prove something
related to this.

00:32:52.260 --> 00:32:53.720 align:middle line:90%
But let me just--

00:32:53.720 --> 00:32:55.130 align:middle line:90%
very simple.

00:32:55.130 --> 00:32:57.260 align:middle line:90%
So I'm talking about a n here.

00:32:57.260 --> 00:32:59.810 align:middle line:84%
I know that it's
converging to a.

00:32:59.810 --> 00:33:05.070 align:middle line:84%
I then look at the
sequence T of a n.

00:33:05.070 --> 00:33:10.340 align:middle line:84%
Well, T of a n,
that was a n plus 1.

00:33:10.340 --> 00:33:14.210 align:middle line:84%
It was just 1 further
out of the sequence.

00:33:14.210 --> 00:33:20.240 align:middle line:84%
But since a n converge,
this means, of course--

00:33:20.240 --> 00:33:24.710 align:middle line:84%
since a n converge to a,
this means that these here

00:33:24.710 --> 00:33:27.080 align:middle line:90%
will also converge to a--

00:33:27.080 --> 00:33:32.330 align:middle line:84%
so since this here, a n plus
1, as n becomes very large,

00:33:32.330 --> 00:33:35.624 align:middle line:90%
will converge to a.

00:33:35.624 --> 00:33:36.124 align:middle line:90%
OK.

00:33:36.124 --> 00:33:39.198 align:middle line:90%


00:33:39.198 --> 00:33:45.290 align:middle line:84%
Now If you're
looking at T of a n--

00:33:45.290 --> 00:33:48.350 align:middle line:90%
so you want to estimate now.

00:33:48.350 --> 00:33:51.290 align:middle line:90%
So what I want to prove is--

00:33:51.290 --> 00:33:53.690 align:middle line:84%
so now I'm looking
at this distance.

00:33:53.690 --> 00:33:57.680 align:middle line:90%


00:33:57.680 --> 00:34:06.712 align:middle line:84%
So I want to show that
T of a is equal to a.

00:34:06.712 --> 00:34:07.920 align:middle line:90%
That's what we want to prove.

00:34:07.920 --> 00:34:10.449 align:middle line:90%


00:34:10.449 --> 00:34:18.730 align:middle line:84%
And so if I'm looking
at T of a n, T of a n,

00:34:18.730 --> 00:34:21.159 align:middle line:90%
this here was a n plus 1.

00:34:21.159 --> 00:34:28.960 align:middle line:84%
And so if I'm looking
at T of a n minus T

00:34:28.960 --> 00:34:34.120 align:middle line:84%
of a, because it is
a contracting map,

00:34:34.120 --> 00:34:40.810 align:middle line:84%
this thing here is bounded
or equal to c a n minus a.

00:34:40.810 --> 00:34:43.900 align:middle line:90%


00:34:43.900 --> 00:34:51.790 align:middle line:84%
And this is also equal to
a n plus 1 minus T of a.

00:34:51.790 --> 00:34:57.760 align:middle line:84%
That was just the
definition of a n plus 1.

00:34:57.760 --> 00:35:02.050 align:middle line:84%
So now I have that
a n converges to a.

00:35:02.050 --> 00:35:07.090 align:middle line:84%
So this means that this
here converges to 0.

00:35:07.090 --> 00:35:16.870 align:middle line:84%
So now since a n converts to a,
then you have that a n minus a--

00:35:16.870 --> 00:35:21.850 align:middle line:84%
you can think about this as a
sequence that converges to 0.

00:35:21.850 --> 00:35:26.290 align:middle line:84%
But this inequality here says
that since this goes to 0,

00:35:26.290 --> 00:35:28.720 align:middle line:84%
this thing here
must also go to 0.

00:35:28.720 --> 00:35:41.620 align:middle line:84%
So you see that therefore, a n
plus 1 minus T of a goes to 0.

00:35:41.620 --> 00:35:44.800 align:middle line:90%


00:35:44.800 --> 00:35:47.200 align:middle line:84%
But that this here
goes to 0, this just

00:35:47.200 --> 00:35:53.110 align:middle line:84%
means that a n plus 1, this
must converge to T of a.

00:35:53.110 --> 00:35:56.290 align:middle line:90%


00:35:56.290 --> 00:36:00.310 align:middle line:84%
But this sequence
already converts to a.

00:36:00.310 --> 00:36:02.110 align:middle line:90%
There can only be one limit.

00:36:02.110 --> 00:36:08.710 align:middle line:84%
So we already have that
a n plus 1 converge to a.

00:36:08.710 --> 00:36:11.860 align:middle line:84%
But then these two
numbers must be the same.

00:36:11.860 --> 00:36:17.270 align:middle line:84%
So the conclusion here is that
a must be equal to T of a.

00:36:17.270 --> 00:36:24.310 align:middle line:90%


00:36:24.310 --> 00:36:28.580 align:middle line:84%
So from the Cauchy
convergence theorem,

00:36:28.580 --> 00:36:32.950 align:middle line:84%
then you get the
contracting mapping theorem.

00:36:32.950 --> 00:36:37.840 align:middle line:84%
And we already proved that
you get a fixed point.

00:36:37.840 --> 00:36:43.480 align:middle line:84%
And we already knew that there
was at most one fixed point.

00:36:43.480 --> 00:36:48.010 align:middle line:84%
And so this is a
very powerful idea.

00:36:48.010 --> 00:36:52.390 align:middle line:84%
Because for many things,
it's almost impossible

00:36:52.390 --> 00:36:55.360 align:middle line:90%
to find the actual fixed point.

00:36:55.360 --> 00:36:59.320 align:middle line:84%
But what you do is that
you're starting with some--

00:36:59.320 --> 00:37:02.650 align:middle line:84%
so in this case, you
just said you pick any x.

00:37:02.650 --> 00:37:06.150 align:middle line:84%
And then you just apply
the map enough times.

00:37:06.150 --> 00:37:08.910 align:middle line:84%
Sometimes you would
start with a--

00:37:08.910 --> 00:37:12.210 align:middle line:84%
you can't find a
fixed point, but you

00:37:12.210 --> 00:37:15.840 align:middle line:84%
can find something pretty
close to the fixed point.

00:37:15.840 --> 00:37:19.500 align:middle line:90%
And then you iterate from there.

00:37:19.500 --> 00:37:23.050 align:middle line:90%
And we'll see just in a second.

00:37:23.050 --> 00:37:26.520 align:middle line:84%
So I already talked about
the [INAUDIBLE] existence

00:37:26.520 --> 00:37:31.120 align:middle line:84%
of solutions to
ODEs and to PDEs.

00:37:31.120 --> 00:37:37.800 align:middle line:84%
And now let me illustrate this
last point in another example.

00:37:37.800 --> 00:37:42.660 align:middle line:84%
And this comes back to
your question about,

00:37:42.660 --> 00:37:44.350 align:middle line:90%
is this the same?

00:37:44.350 --> 00:37:48.010 align:middle line:84%
But do think about it as being
the same for all x and y.

00:37:48.010 --> 00:37:50.910 align:middle line:84%
But you could have some
kind of local statement

00:37:50.910 --> 00:37:54.670 align:middle line:84%
where, it was true for x
and y in some small range.

00:37:54.670 --> 00:37:58.180 align:middle line:84%
And that would be enough to
guarantee you a fixed point.

00:37:58.180 --> 00:38:01.410 align:middle line:90%
But in general, it's the same.

00:38:01.410 --> 00:38:06.510 align:middle line:84%
The definition is supposed to be
the same for all [? next ?] one.

00:38:06.510 --> 00:38:12.245 align:middle line:84%
So let me explain that in
what's called Newton method.

00:38:12.245 --> 00:38:16.650 align:middle line:90%


00:38:16.650 --> 00:38:18.050 align:middle line:90%
So this is the Newton method.

00:38:18.050 --> 00:38:26.730 align:middle line:90%


00:38:26.730 --> 00:38:29.820 align:middle line:84%
And so the idea is that
you have a function.

00:38:29.820 --> 00:38:32.640 align:middle line:90%
You have some function here.

00:38:32.640 --> 00:38:35.640 align:middle line:84%
Maybe it doesn't look like a
function, but it's supposed to.

00:38:35.640 --> 00:38:38.520 align:middle line:90%
This is f of x.

00:38:38.520 --> 00:38:49.320 align:middle line:84%
And you want to find the point
where this function vanishes.

00:38:49.320 --> 00:38:57.185 align:middle line:84%
And so the method is a numerical
method to find such a point.

00:38:57.185 --> 00:39:03.854 align:middle line:90%


00:39:03.854 --> 00:39:07.540 align:middle line:84%
If this function
was very simple,

00:39:07.540 --> 00:39:10.690 align:middle line:84%
like a linear function or
a quadratic function, then,

00:39:10.690 --> 00:39:12.520 align:middle line:84%
of course, it would
be easy to find.

00:39:12.520 --> 00:39:15.690 align:middle line:84%
But maybe this is a very
complicated function.

00:39:15.690 --> 00:39:18.360 align:middle line:84%
And so you wouldn't
necessarily be

00:39:18.360 --> 00:39:21.930 align:middle line:84%
able to say exactly
what the point is.

00:39:21.930 --> 00:39:33.660 align:middle line:84%
And so the idea is that Newton's
methods require that you

00:39:33.660 --> 00:39:36.510 align:middle line:90%
start with a good guess.

00:39:36.510 --> 00:39:39.420 align:middle line:84%
But this is the idea
of the Newton method.

00:39:39.420 --> 00:39:47.550 align:middle line:84%
So here's the idea, that we're
looking at a function like this.

00:39:47.550 --> 00:39:52.620 align:middle line:84%
I'm going to assume
that is not zero.

00:39:52.620 --> 00:39:54.330 align:middle line:90%
So it's actually monotone.

00:39:54.330 --> 00:39:56.230 align:middle line:84%
It's either increasing
or decreasing.

00:39:56.230 --> 00:39:59.850 align:middle line:90%


00:39:59.850 --> 00:40:03.420 align:middle line:84%
So I'm assuming that
there's nowhere where

00:40:03.420 --> 00:40:05.520 align:middle line:90%
the differential vanishes.

00:40:05.520 --> 00:40:10.020 align:middle line:84%
And then I defined
a map, T of x,

00:40:10.020 --> 00:40:17.255 align:middle line:84%
to be equal to x minus
f of x, f prime of x.

00:40:17.255 --> 00:40:22.740 align:middle line:90%


00:40:22.740 --> 00:40:25.740 align:middle line:84%
This seems maybe far away
from contracting now.

00:40:25.740 --> 00:40:30.510 align:middle line:84%
But if you define
it like this, now

00:40:30.510 --> 00:40:36.300 align:middle line:84%
let me take the
derivative of this.

00:40:36.300 --> 00:40:38.910 align:middle line:84%
If I take the
derivative of this map,

00:40:38.910 --> 00:40:41.790 align:middle line:84%
then I get that this thing here,
the derivative of x, that's

00:40:41.790 --> 00:40:43.350 align:middle line:90%
just 1.

00:40:43.350 --> 00:40:49.240 align:middle line:84%
The derivative of this in
here, this is a quotient.

00:40:49.240 --> 00:40:56.730 align:middle line:84%
So it's f prime times its
derivative of this times

00:40:56.730 --> 00:41:03.050 align:middle line:84%
f prime and then f
prime squared minus

00:41:03.050 --> 00:41:07.940 align:middle line:84%
and then f f double
prime, like that.

00:41:07.940 --> 00:41:13.220 align:middle line:84%
That's the quotient for
taking the derivative.

00:41:13.220 --> 00:41:15.510 align:middle line:84%
And so you see that
you can write this--

00:41:15.510 --> 00:41:17.910 align:middle line:90%
if you split this up into two--

00:41:17.910 --> 00:41:19.700 align:middle line:90%
this here is one.

00:41:19.700 --> 00:41:21.030 align:middle line:90%
You split it up to two.

00:41:21.030 --> 00:41:26.270 align:middle line:84%
This here is f prime squared
divided by f prime squared.

00:41:26.270 --> 00:41:28.700 align:middle line:90%
And then this here becomes plus.

00:41:28.700 --> 00:41:34.250 align:middle line:84%
And then I'm writing
it as f f double prime

00:41:34.250 --> 00:41:38.480 align:middle line:90%
over [INAUDIBLE] squared.

00:41:38.480 --> 00:41:41.880 align:middle line:84%
And so you see that this
thing here cancel with that.

00:41:41.880 --> 00:41:43.550 align:middle line:90%
So these here cancel.

00:41:43.550 --> 00:41:48.260 align:middle line:84%
So you have that the
derivative of this map

00:41:48.260 --> 00:41:56.990 align:middle line:84%
is just f of x, f prime,
double prime of x, f prime

00:41:56.990 --> 00:41:59.095 align:middle line:90%
of x, and then squared.

00:41:59.095 --> 00:42:02.210 align:middle line:90%
That's the derivative.

00:42:02.210 --> 00:42:17.840 align:middle line:84%
And now, of course, if I'm using
the mean value theorem here,

00:42:17.840 --> 00:42:22.080 align:middle line:84%
then I have that
the derivative--

00:42:22.080 --> 00:42:27.830 align:middle line:90%


00:42:27.830 --> 00:42:33.500 align:middle line:84%
then I have that T
of x minus T of y--

00:42:33.500 --> 00:42:37.100 align:middle line:84%
the mean value theorem
say that this thing here

00:42:37.100 --> 00:42:41.240 align:middle line:90%
is the derivative.

00:42:41.240 --> 00:42:43.530 align:middle line:84%
It's actually Wallis
theorem or whatever.

00:42:43.530 --> 00:42:46.250 align:middle line:84%
But you can also think about
this mean value theorem.

00:42:46.250 --> 00:42:51.800 align:middle line:84%
It's a derivative at somewhere
in between x and y times

00:42:51.800 --> 00:42:53.665 align:middle line:90%
the difference between x and y.

00:42:53.665 --> 00:42:55.990 align:middle line:90%


00:42:55.990 --> 00:42:57.240 align:middle line:90%
That's the mean value theorem.

00:42:57.240 --> 00:43:02.360 align:middle line:90%


00:43:02.360 --> 00:43:07.520 align:middle line:84%
So you see that if we already
knew-- so if we can show--

00:43:07.520 --> 00:43:17.850 align:middle line:84%
if we knew that the derivative
was bounded everywhere,

00:43:17.850 --> 00:43:22.670 align:middle line:84%
was bounded by some c, little
c that was less than 1--

00:43:22.670 --> 00:43:25.350 align:middle line:84%
if you had that,
then, of course,

00:43:25.350 --> 00:43:27.720 align:middle line:84%
then you just take the
absolute value of this.

00:43:27.720 --> 00:43:31.820 align:middle line:84%
So then you have that
T of x minus T of y,

00:43:31.820 --> 00:43:36.140 align:middle line:84%
the absolute value
was equal to T

00:43:36.140 --> 00:43:41.090 align:middle line:84%
prime in this intermediate
point, x minus y.

00:43:41.090 --> 00:43:43.130 align:middle line:84%
But in this intermediate
point, we're

00:43:43.130 --> 00:43:45.230 align:middle line:84%
assuming that everywhere
in the derivative

00:43:45.230 --> 00:43:46.860 align:middle line:90%
is less than or equal to c.

00:43:46.860 --> 00:43:52.040 align:middle line:84%
So now this is less than or
equal to c, so c x minus y.

00:43:52.040 --> 00:43:55.160 align:middle line:84%
And we're assuming that c
is strictly less than 1.

00:43:55.160 --> 00:43:59.740 align:middle line:84%
So you see that this here, if
we knew that the derivative of T

00:43:59.740 --> 00:44:02.690 align:middle line:84%
was strictly less
than 1 everywhere,

00:44:02.690 --> 00:44:08.200 align:middle line:84%
then we would know that this
map is a contracting map.

00:44:08.200 --> 00:44:08.780 align:middle line:90%
OK.

00:44:08.780 --> 00:44:12.880 align:middle line:84%
But, of course, what we
have for the derivative is,

00:44:12.880 --> 00:44:14.265 align:middle line:90%
we have this in here.

00:44:14.265 --> 00:44:19.420 align:middle line:90%


00:44:19.420 --> 00:44:24.150 align:middle line:84%
But now the idea is that if you
start with a really good guess--

00:44:24.150 --> 00:44:34.660 align:middle line:90%


00:44:34.660 --> 00:44:42.375 align:middle line:84%
so the idea with [INAUDIBLE]
is, start with a good guess.

00:44:42.375 --> 00:44:49.300 align:middle line:90%


00:44:49.300 --> 00:44:53.920 align:middle line:84%
And then I'm not going
to make that too precise,

00:44:53.920 --> 00:44:55.700 align:middle line:84%
as I'm putting it
in quotation marks.

00:44:55.700 --> 00:44:59.600 align:middle line:84%
But the idea is
that you want to--

00:44:59.600 --> 00:45:00.650 align:middle line:90%
so good guesses.

00:45:00.650 --> 00:45:05.650 align:middle line:84%
Remember that what we want is,
we're interested in this point

00:45:05.650 --> 00:45:09.400 align:middle line:90%
here, where this function here--

00:45:09.400 --> 00:45:13.426 align:middle line:84%
we're interested in the point
where the function vanishes.

00:45:13.426 --> 00:45:16.000 align:middle line:84%
So starting with
a good guess means

00:45:16.000 --> 00:45:20.690 align:middle line:84%
that you may not start
where the function vanishes,

00:45:20.690 --> 00:45:24.800 align:middle line:84%
but you're starting somewhere
where the value is really small.

00:45:24.800 --> 00:45:27.980 align:middle line:90%
That would be a good guess.

00:45:27.980 --> 00:45:38.770 align:middle line:84%
And so start with a guess,
meaning that f at that point

00:45:38.770 --> 00:45:43.365 align:middle line:90%
is small, is very small.

00:45:43.365 --> 00:45:45.880 align:middle line:90%


00:45:45.880 --> 00:45:47.380 align:middle line:84%
Now, of course,
you're going to ask,

00:45:47.380 --> 00:45:49.570 align:middle line:90%
what do you mean by very small?

00:45:49.570 --> 00:45:55.600 align:middle line:84%
So very small here is going
to mean that the value--

00:45:55.600 --> 00:45:58.990 align:middle line:90%
so now we have, from this here--

00:45:58.990 --> 00:46:05.110 align:middle line:84%
so we have that the
derivative here of this map

00:46:05.110 --> 00:46:10.160 align:middle line:84%
here was equal to-- these
two terms cancel out.

00:46:10.160 --> 00:46:14.230 align:middle line:84%
So this is f of
x, f double prime

00:46:14.230 --> 00:46:20.260 align:middle line:90%
of x, f prime of x squared.

00:46:20.260 --> 00:46:24.370 align:middle line:84%
So starting with a good guess
means that this thing here

00:46:24.370 --> 00:46:26.180 align:middle line:90%
is really, really small.

00:46:26.180 --> 00:46:29.630 align:middle line:84%
And, in fact, I want it to
be small compared with this.

00:46:29.630 --> 00:46:32.990 align:middle line:84%
So if this here is really
small compared with that,

00:46:32.990 --> 00:46:35.830 align:middle line:84%
then I can guarantee that
the absolute value of this

00:46:35.830 --> 00:46:38.626 align:middle line:90%
is smaller than 1.

00:46:38.626 --> 00:46:42.370 align:middle line:84%
And so you see that if you
start with a really good guess,

00:46:42.370 --> 00:46:45.730 align:middle line:84%
then it would be a
contracting mapping.

00:46:45.730 --> 00:46:49.100 align:middle line:84%
And then, of course,
you need to prove that.

00:46:49.100 --> 00:46:51.230 align:middle line:90%
So you're forming the sequence.

00:46:51.230 --> 00:46:53.500 align:middle line:90%
And you need to prove--

00:46:53.500 --> 00:46:56.260 align:middle line:84%
somehow, you need to
estimate, that you

00:46:56.260 --> 00:47:01.240 align:middle line:84%
need to be able to say that
once you form the sequence,

00:47:01.240 --> 00:47:03.730 align:middle line:84%
the next thing that
it's spitting out

00:47:03.730 --> 00:47:07.420 align:middle line:84%
is also a good guess,
so that you stay

00:47:07.420 --> 00:47:09.170 align:middle line:90%
in this range of good guess.

00:47:09.170 --> 00:47:12.970 align:middle line:84%
And if it has this
property, then it

00:47:12.970 --> 00:47:15.400 align:middle line:84%
would be a contracting
map, and you would

00:47:15.400 --> 00:47:17.110 align:middle line:90%
guarantee to get a fixed point.

00:47:17.110 --> 00:47:21.230 align:middle line:84%
But that's all the
Newton methods say.

00:47:21.230 --> 00:47:27.260 align:middle line:84%
So you need to justify why, if
you start with a good guess,

00:47:27.260 --> 00:47:30.170 align:middle line:84%
why, as you're
iterating this process,

00:47:30.170 --> 00:47:34.780 align:middle line:84%
why you keep in the
range of good guesses.

00:47:34.780 --> 00:47:40.610 align:middle line:84%
But the Newton method doesn't
tell you anything about that.

00:47:40.610 --> 00:47:43.455 align:middle line:84%
But it require
that to be applied.

00:47:43.455 --> 00:47:46.730 align:middle line:90%


00:47:46.730 --> 00:47:47.230 align:middle line:90%
OK.

00:47:47.230 --> 00:47:48.880 align:middle line:90%
So it's a contracting map.

00:47:48.880 --> 00:47:52.390 align:middle line:90%
This T is a contracting map.

00:47:52.390 --> 00:47:54.790 align:middle line:84%
If I can start
with a good guess--

00:47:54.790 --> 00:47:57.300 align:middle line:84%
and when I do this,
when I form-- so I

00:47:57.300 --> 00:47:59.080 align:middle line:90%
start with this good guess.

00:47:59.080 --> 00:48:04.440 align:middle line:84%
And then I'm looking at that
the next thing is this T of x

00:48:04.440 --> 00:48:08.010 align:middle line:90%
and then a T squared of x.

00:48:08.010 --> 00:48:11.710 align:middle line:84%
By then, I want all of these
to also be good guesses.

00:48:11.710 --> 00:48:15.900 align:middle line:84%
And then I'm saying that
as n goes to infinity,

00:48:15.900 --> 00:48:20.770 align:middle line:84%
this here is constant, is going
to converge to this fixed point.

00:48:20.770 --> 00:48:22.890 align:middle line:90%
I guess I called it x0.

00:48:22.890 --> 00:48:34.890 align:middle line:84%
But this is the fixed
point, fixed point for T.

00:48:34.890 --> 00:48:39.130 align:middle line:84%
So now we started
with a function.

00:48:39.130 --> 00:48:44.760 align:middle line:84%
And what we wanted to
find a root, so at x0,

00:48:44.760 --> 00:48:47.216 align:middle line:90%
where this function vanishes.

00:48:47.216 --> 00:48:50.680 align:middle line:84%
And I constructed
a contracting map.

00:48:50.680 --> 00:48:54.810 align:middle line:84%
But now I will need to
relate the fixed point

00:48:54.810 --> 00:48:57.780 align:middle line:84%
for the contracting map
to the original problem.

00:48:57.780 --> 00:49:02.280 align:middle line:84%
So what is a fixed point
for the contracting map?

00:49:02.280 --> 00:49:07.590 align:middle line:84%
So the map here,
the map we defined

00:49:07.590 --> 00:49:15.365 align:middle line:84%
was T of x is equal to x minus
f of x over f prime of x.

00:49:15.365 --> 00:49:17.970 align:middle line:90%


00:49:17.970 --> 00:49:20.320 align:middle line:90%
But a fixed point--

00:49:20.320 --> 00:49:24.810 align:middle line:84%
so if x0 is a fixed
point, then this

00:49:24.810 --> 00:49:32.070 align:middle line:84%
means that this here is the
same as x0 minus f of x0, f

00:49:32.070 --> 00:49:34.440 align:middle line:90%
prime of x0.

00:49:34.440 --> 00:49:37.300 align:middle line:84%
And now you can just
write-- so therefore,

00:49:37.300 --> 00:49:45.210 align:middle line:84%
this implies that f of x0 minus
f of x0 over f prime of x0, this

00:49:45.210 --> 00:49:45.870 align:middle line:90%
here.

00:49:45.870 --> 00:49:48.430 align:middle line:84%
Then you would subtract
x0 0 on both sides.

00:49:48.430 --> 00:49:50.520 align:middle line:90%
And this is equal to 0.

00:49:50.520 --> 00:49:53.710 align:middle line:84%
But that, of course, means
the denominator must be 0.

00:49:53.710 --> 00:49:56.400 align:middle line:90%


00:49:56.400 --> 00:50:02.880 align:middle line:84%
So a fixed point is indeed
a point where f of x at 0

00:50:02.880 --> 00:50:04.150 align:middle line:90%
is equal to 0.

00:50:04.150 --> 00:50:07.785 align:middle line:90%


00:50:07.785 --> 00:50:08.285 align:middle line:90%
OK.

00:50:08.285 --> 00:50:12.090 align:middle line:90%


00:50:12.090 --> 00:50:17.850 align:middle line:84%
So now we want to prove the
Cauchy convergence theorem.

00:50:17.850 --> 00:50:20.370 align:middle line:84%
But we're going to cheat
just a little bit, because we

00:50:20.370 --> 00:50:23.640 align:middle line:84%
are going to deduce it
from another theorem

00:50:23.640 --> 00:50:26.790 align:middle line:90%
that I will prove next time.

00:50:26.790 --> 00:50:34.920 align:middle line:84%
So to prove the
Cauchy convergence

00:50:34.920 --> 00:50:38.760 align:middle line:84%
for the Bolzano-Weierstrass
theorem--

00:50:38.760 --> 00:50:41.020 align:middle line:84%
and that theorem,
we'll prove next time.

00:50:41.020 --> 00:50:48.300 align:middle line:90%


00:50:48.300 --> 00:50:49.685 align:middle line:90%
So what is the Bolzano--

00:50:49.685 --> 00:51:05.550 align:middle line:90%


00:51:05.550 --> 00:51:07.870 align:middle line:84%
so the Bolzano-Weierstrass
theorem.

00:51:07.870 --> 00:51:09.630 align:middle line:84%
So the Bolzano-Weierstrass
theorem

00:51:09.630 --> 00:51:30.480 align:middle line:84%
says that every bounded sequence
has a convergent subsequence.

00:51:30.480 --> 00:51:34.920 align:middle line:90%


00:51:34.920 --> 00:51:36.940 align:middle line:90%
So that's a Bolzano-Weierstrass.

00:51:36.940 --> 00:51:39.852 align:middle line:90%


00:51:39.852 --> 00:51:42.330 align:middle line:90%
Now let's try to--

00:51:42.330 --> 00:51:43.570 align:middle line:90%
we'll assume this.

00:51:43.570 --> 00:51:46.470 align:middle line:84%
Again, I'll prove
this next time.

00:51:46.470 --> 00:51:51.510 align:middle line:84%
But let's use this theorem to
prove the Cauchy convergence

00:51:51.510 --> 00:51:53.630 align:middle line:90%
theorem.

00:51:53.630 --> 00:52:11.750 align:middle line:84%
So from the
Bolzano-Weierstrass theorem,

00:52:11.750 --> 00:52:28.470 align:middle line:84%
we get the Cauchy convergence
theorem as follows.

00:52:28.470 --> 00:52:35.480 align:middle line:90%


00:52:35.480 --> 00:52:38.090 align:middle line:84%
So, remember, the Cauchy
convergence theorem

00:52:38.090 --> 00:52:42.260 align:middle line:84%
say that if you have a Cauchy
sequence, then it is convergent.

00:52:42.260 --> 00:52:56.060 align:middle line:84%
So suppose xn this
[? position, ?] OK?

00:52:56.060 --> 00:52:59.000 align:middle line:84%
I want to prove that
it's convergent.

00:52:59.000 --> 00:53:10.320 align:middle line:84%
But we already shown that
any Cauchy sequence--

00:53:10.320 --> 00:53:16.400 align:middle line:90%


00:53:16.400 --> 00:53:20.950 align:middle line:84%
shown that xn, any Cauchy
sequence is bounded.

00:53:20.950 --> 00:53:24.950 align:middle line:90%


00:53:24.950 --> 00:53:27.222 align:middle line:90%
This is this [INAUDIBLE].

00:53:27.222 --> 00:53:31.410 align:middle line:90%


00:53:31.410 --> 00:53:44.990 align:middle line:84%
Therefore, by the
Bolzano-Weierstrass theorem,

00:53:44.990 --> 00:53:51.600 align:middle line:84%
there's a convergent
subsequence.

00:53:51.600 --> 00:53:59.090 align:middle line:90%


00:53:59.090 --> 00:54:01.820 align:middle line:84%
So there's a convergent
subsequent xnk.

00:54:01.820 --> 00:54:23.690 align:middle line:90%


00:54:23.690 --> 00:54:32.600 align:middle line:84%
So you have that
this subsequence

00:54:32.600 --> 00:54:37.250 align:middle line:90%
here converge to some x.

00:54:37.250 --> 00:54:42.200 align:middle line:84%
And now I want to show that the
original sequence converge to x.

00:54:42.200 --> 00:54:46.630 align:middle line:90%


00:54:46.630 --> 00:55:02.800 align:middle line:84%
So since xn is a
Cauchy sequence,

00:55:02.800 --> 00:55:14.600 align:middle line:84%
given epsilon greater than
0, there exists a capital N

00:55:14.600 --> 00:55:20.500 align:middle line:84%
so that if m and n are
bigger than capital N,

00:55:20.500 --> 00:55:28.990 align:middle line:84%
then xn minus xm is less
than epsilon over 2.

00:55:28.990 --> 00:55:33.250 align:middle line:84%
I'm using the epsilon
in the definition

00:55:33.250 --> 00:55:34.640 align:middle line:90%
of being a Cauchy sequence.

00:55:34.640 --> 00:55:37.780 align:middle line:90%


00:55:37.780 --> 00:55:41.145 align:middle line:84%
And let's call this-- this
is the N. Let's called it N1.

00:55:41.145 --> 00:55:44.590 align:middle line:90%


00:55:44.590 --> 00:55:59.860 align:middle line:84%
So now since xnk converge
to x, but that epsilon,

00:55:59.860 --> 00:56:15.190 align:middle line:84%
there exist N2 so that if
k here is bigger than N2,

00:56:15.190 --> 00:56:23.470 align:middle line:84%
then xnk minus x is less
than epsilon over 2.

00:56:23.470 --> 00:56:45.640 align:middle line:90%


00:56:45.640 --> 00:57:04.491 align:middle line:84%
So now we take n to be equal
to the maximum of N1 and nN2.

00:57:04.491 --> 00:57:07.690 align:middle line:90%


00:57:07.690 --> 00:57:10.730 align:middle line:84%
This is the one that
corresponds to y.

00:57:10.730 --> 00:57:14.680 align:middle line:84%
So this is where k is
taking equal to this N2.

00:57:14.680 --> 00:57:17.830 align:middle line:90%


00:57:17.830 --> 00:57:25.510 align:middle line:84%
So if we take n like that and
you're looking at n bigger equal

00:57:25.510 --> 00:57:29.860 align:middle line:84%
to N and you now want to
estimate this thing here,

00:57:29.860 --> 00:57:43.480 align:middle line:84%
then you can think about this
difference here as x minus xn,

00:57:43.480 --> 00:58:02.655 align:middle line:84%
like this, plus x, xN minus
xn [INAUDIBLE] like that.

00:58:02.655 --> 00:58:10.190 align:middle line:90%


00:58:10.190 --> 00:58:14.090 align:middle line:84%
So this is now in
this subsequent.

00:58:14.090 --> 00:58:18.290 align:middle line:84%
And so one of them-- this
is less than epsilon over 2.

00:58:18.290 --> 00:58:21.400 align:middle line:84%
And this here is less
than epsilon over 2.

00:58:21.400 --> 00:58:23.350 align:middle line:84%
And so you get that
this difference here

00:58:23.350 --> 00:58:24.280 align:middle line:90%
was less than epsilon.

00:58:24.280 --> 00:58:28.780 align:middle line:90%


00:58:28.780 --> 00:58:32.770 align:middle line:84%
So this is why the
Bolzano-Weierstrass theorem

00:58:32.770 --> 00:58:37.400 align:middle line:84%
implies the Cauchy
convergence theorem.

00:58:37.400 --> 00:58:37.900 align:middle line:90%
OK.

00:58:37.900 --> 00:58:41.280 align:middle line:84%
So now the next
thing is that I want

00:58:41.280 --> 00:58:48.360 align:middle line:84%
to give another application of
the Cauchy convergence here.

00:58:48.360 --> 00:58:52.360 align:middle line:84%
So here's another application of
the Cauchy convergence theorem.

00:58:52.360 --> 00:59:08.250 align:middle line:90%


00:59:08.250 --> 00:59:12.070 align:middle line:84%
So one application was to the
contracting mapping theorem.

00:59:12.070 --> 00:59:17.180 align:middle line:84%
But here's another application
of the Cauchy convergence

00:59:17.180 --> 00:59:17.680 align:middle line:90%
theorem.

00:59:17.680 --> 00:59:26.880 align:middle line:90%


00:59:26.880 --> 00:59:29.260 align:middle line:84%
So this is the
extreme value theorem.

00:59:29.260 --> 00:59:38.700 align:middle line:90%


00:59:38.700 --> 00:59:47.430 align:middle line:84%
Now, before I
explain that, let me

00:59:47.430 --> 00:59:51.690 align:middle line:84%
introduce this notion
of a function being

00:59:51.690 --> 00:59:56.340 align:middle line:90%
continuous in a rigorous way.

00:59:56.340 --> 01:00:02.010 align:middle line:84%
So what does it mean for a
function to be continuous?

01:00:02.010 --> 01:00:13.882 align:middle line:84%
So a function f, say, from R
to R could be a subset of R,

01:00:13.882 --> 01:00:31.320 align:middle line:84%
could be all of R, is said to
be continuous at some point x0

01:00:31.320 --> 01:00:39.090 align:middle line:84%
if, for all epsilon
greater than 0,

01:00:39.090 --> 01:00:53.280 align:middle line:84%
there exist delta greater
than 0 such that if x minus x0

01:00:53.280 --> 01:00:58.860 align:middle line:84%
is smaller than delta,
then the images are

01:00:58.860 --> 01:01:01.985 align:middle line:90%
within epsilon region.

01:01:01.985 --> 01:01:06.210 align:middle line:90%


01:01:06.210 --> 01:01:08.910 align:middle line:90%
So if you think about it--

01:01:08.910 --> 01:01:13.890 align:middle line:84%
so if you have the function--
this is a function.

01:01:13.890 --> 01:01:20.190 align:middle line:84%
You should say that it's
continuous at some x0, means

01:01:20.190 --> 01:01:23.520 align:middle line:90%
that if this thing here is--

01:01:23.520 --> 01:01:27.390 align:middle line:90%
this here is now f of x0.

01:01:27.390 --> 01:01:29.850 align:middle line:84%
If you take a little
interval around here--

01:01:29.850 --> 01:01:32.060 align:middle line:90%
this is a epsilon interval--

01:01:32.060 --> 01:01:36.530 align:middle line:84%
around here, then there
should be some delta interval

01:01:36.530 --> 01:01:39.710 align:middle line:84%
around here so that if you're
looking at images here,

01:01:39.710 --> 01:01:43.140 align:middle line:90%
then it will map into here.

01:01:43.140 --> 01:01:46.895 align:middle line:84%
That's what it means
to be continuous.

01:01:46.895 --> 01:01:50.240 align:middle line:84%
OK, so this is
continuous at a point.

01:01:50.240 --> 01:01:53.270 align:middle line:84%
And a function is
said to be continuous

01:01:53.270 --> 01:01:55.300 align:middle line:84%
if it is continuous
at all points.

01:01:55.300 --> 01:01:59.780 align:middle line:90%


01:01:59.780 --> 01:02:23.300 align:middle line:84%
So a function is
said to be continuous

01:02:23.300 --> 01:02:33.730 align:middle line:84%
if it is continuous
at all points.

01:02:33.730 --> 01:02:42.050 align:middle line:90%


01:02:42.050 --> 01:02:45.890 align:middle line:84%
And so now we have a
little theorem here.

01:02:45.890 --> 01:02:53.000 align:middle line:84%
And this is often useful way
of thinking about continuity.

01:02:53.000 --> 01:02:58.590 align:middle line:90%
So if f is continuous--

01:02:58.590 --> 01:03:02.000 align:middle line:90%


01:03:02.000 --> 01:03:05.430 align:middle line:84%
so let's just say it
doesn't need to be all of R,

01:03:05.430 --> 01:03:08.030 align:middle line:84%
but you just have to be careful
that everything that you

01:03:08.030 --> 01:03:09.930 align:middle line:90%
talk about is in the domain.

01:03:09.930 --> 01:03:13.550 align:middle line:84%
But let's just say that f
is a function from R to R,

01:03:13.550 --> 01:03:14.626 align:middle line:90%
is continuous.

01:03:14.626 --> 01:03:19.880 align:middle line:90%


01:03:19.880 --> 01:03:29.960 align:middle line:84%
So if f is continuous and xn
is a sequence that converges

01:03:29.960 --> 01:03:35.900 align:middle line:90%
to x, then the images--

01:03:35.900 --> 01:03:38.460 align:middle line:90%
so f of xn--

01:03:38.460 --> 01:03:40.340 align:middle line:90%
this is another sequence--

01:03:40.340 --> 01:03:42.480 align:middle line:90%
those converge to f of x.

01:03:42.480 --> 01:03:46.580 align:middle line:90%


01:03:46.580 --> 01:03:51.200 align:middle line:84%
This is a useful way of
thinking about being continuous.

01:03:51.200 --> 01:03:53.810 align:middle line:90%


01:03:53.810 --> 01:03:56.830 align:middle line:84%
And so now, why
is this the case?

01:03:56.830 --> 01:04:01.280 align:middle line:90%


01:04:01.280 --> 01:04:13.826 align:middle line:84%
So proof-- since
f is continuous--

01:04:13.826 --> 01:04:18.380 align:middle line:90%


01:04:18.380 --> 01:04:22.670 align:middle line:84%
you only need that is
continuous at each x.

01:04:22.670 --> 01:04:25.490 align:middle line:84%
So since it's
continuous at x, this

01:04:25.490 --> 01:04:28.585 align:middle line:84%
means that for all
epsilon that are given--

01:04:28.585 --> 01:04:31.100 align:middle line:90%


01:04:31.100 --> 01:04:34.280 align:middle line:84%
given epsilon
greater than 0, there

01:04:34.280 --> 01:04:50.210 align:middle line:84%
exist delta greater than
0 such that if x minus y--

01:04:50.210 --> 01:04:52.970 align:middle line:84%
this is this x
here that you think

01:04:52.970 --> 01:04:56.660 align:middle line:84%
about-- is fixed, if you
have another point that

01:04:56.660 --> 01:05:08.540 align:middle line:84%
is within delta, then the images
f of x minus f of y [INAUDIBLE].

01:05:08.540 --> 01:05:13.610 align:middle line:84%
This is just that it's
continuous at that one point, x.

01:05:13.610 --> 01:05:26.200 align:middle line:84%
Now, since xn
converges to x, this

01:05:26.200 --> 01:05:29.590 align:middle line:84%
means that if you
choose this delta here,

01:05:29.590 --> 01:05:33.310 align:middle line:84%
in the definition
of convergence,

01:05:33.310 --> 01:05:45.170 align:middle line:84%
then there exist
capital N such that

01:05:45.170 --> 01:05:47.840 align:middle line:84%
if little n is bigger
than capital N,

01:05:47.840 --> 01:05:54.670 align:middle line:84%
then xn minus x is
less than delta.

01:05:54.670 --> 01:05:58.910 align:middle line:84%
But now you see that if little
n is bigger than capital N,

01:05:58.910 --> 01:06:03.410 align:middle line:90%
then these lies this close to x.

01:06:03.410 --> 01:06:06.920 align:middle line:84%
But then this say that
it is-- so therefore,

01:06:06.920 --> 01:06:18.940 align:middle line:84%
the images f of xn minus f
of x is less than epsilon.

01:06:18.940 --> 01:06:21.640 align:middle line:84%
And this was just as long
as little n was bigger

01:06:21.640 --> 01:06:23.530 align:middle line:84%
than capital N.
And that's exactly

01:06:23.530 --> 01:06:27.040 align:middle line:84%
proving that this
sequence converge to that.

01:06:27.040 --> 01:06:28.070 align:middle line:90%
So that's the claim.

01:06:28.070 --> 01:06:33.670 align:middle line:90%


01:06:33.670 --> 01:06:37.490 align:middle line:84%
Now let's prove the
extreme value theorem.

01:06:37.490 --> 01:06:38.850 align:middle line:90%
So I need to state that first.

01:06:38.850 --> 01:06:48.100 align:middle line:90%


01:06:48.100 --> 01:06:52.840 align:middle line:90%
And there's two versions of it.

01:06:52.840 --> 01:06:54.890 align:middle line:90%
So extreme value theorem--

01:06:54.890 --> 01:07:04.870 align:middle line:90%


01:07:04.870 --> 01:07:08.777 align:middle line:84%
so you take a function
f on some interval. a

01:07:08.777 --> 01:07:12.070 align:middle line:90%
and b are real number.

01:07:12.070 --> 01:07:14.560 align:middle line:90%
They're both included.

01:07:14.560 --> 01:07:16.760 align:middle line:90%
And f here is continuous.

01:07:16.760 --> 01:07:19.930 align:middle line:90%


01:07:19.930 --> 01:07:23.140 align:middle line:90%
It's continuous at all points.

01:07:23.140 --> 01:07:26.600 align:middle line:84%
It needs to be
continuous at all points.

01:07:26.600 --> 01:07:31.300 align:middle line:84%
And this interval needs to
contain the endpoints also.

01:07:31.300 --> 01:07:37.420 align:middle line:84%
So if this is
continuous, then the sup

01:07:37.420 --> 01:07:53.860 align:middle line:84%
of f is achieved
at some x, meaning

01:07:53.860 --> 01:08:03.763 align:middle line:84%
that sup of f over this
interval is equal to the value--

01:08:03.763 --> 01:08:07.210 align:middle line:90%


01:08:07.210 --> 01:08:13.030 align:middle line:84%
let's call it x capital
M, capital M for Max--

01:08:13.030 --> 01:08:15.130 align:middle line:90%
is achieved at some point.

01:08:15.130 --> 01:08:17.740 align:middle line:84%
In particular,
the sup is finite.

01:08:17.740 --> 01:08:19.149 align:middle line:90%
The sup is finite.

01:08:19.149 --> 01:08:21.290 align:middle line:90%
And it's not really a sup.

01:08:21.290 --> 01:08:22.689 align:middle line:90%
It's a max.

01:08:22.689 --> 01:08:28.240 align:middle line:84%
And so, likewise, it also
says that, moreover--

01:08:28.240 --> 01:08:29.540 align:middle line:90%
just the same thing.

01:08:29.540 --> 01:08:33.279 align:middle line:84%
And in the usual way, you
could obtain it from this

01:08:33.279 --> 01:08:36.200 align:middle line:84%
by looking at the function
minus f if you wanted.

01:08:36.200 --> 01:08:38.830 align:middle line:84%
Or you could just prove it
directly with the same people

01:08:38.830 --> 01:08:40.310 align:middle line:90%
that we're going to give here.

01:08:40.310 --> 01:08:48.250 align:middle line:84%
Moreover, the inf of
f over this interval

01:08:48.250 --> 01:08:52.370 align:middle line:84%
is equal to the
value at some point.

01:08:52.370 --> 01:08:54.890 align:middle line:90%
So it's not just the inf.

01:08:54.890 --> 01:08:59.513 align:middle line:84%
It actually is a minimum
where x little m is--

01:08:59.513 --> 01:09:06.957 align:middle line:90%


01:09:06.957 --> 01:09:09.200 align:middle line:84%
and so now let's
try to prove that.

01:09:09.200 --> 01:09:14.620 align:middle line:84%
And so this is going to use
this theorem that we proved,

01:09:14.620 --> 01:09:15.520 align:middle line:90%
this theorem.

01:09:15.520 --> 01:09:19.899 align:middle line:84%
And then it's going to use the
Cauchy convergence theorem.

01:09:19.899 --> 01:09:45.580 align:middle line:90%


01:09:45.580 --> 01:09:48.450 align:middle line:84%
And I'm just going
to prove, just

01:09:48.450 --> 01:09:54.149 align:middle line:84%
because there's two parts to the
extreme value theorem-- that's

01:09:54.149 --> 01:09:56.560 align:middle line:84%
this with the sup, and
that's this is with the inf.

01:09:56.560 --> 01:10:02.970 align:middle line:84%
But the proof, with obvious
modification, they're the same.

01:10:02.970 --> 01:10:05.760 align:middle line:84%
So I'm just going
to focus on the sup.

01:10:05.760 --> 01:10:11.410 align:middle line:90%


01:10:11.410 --> 01:10:13.740 align:middle line:84%
So I'm looking at the
sup of this function.

01:10:13.740 --> 01:10:17.620 align:middle line:84%
A priori, the sup
could be infinity.

01:10:17.620 --> 01:10:19.960 align:middle line:84%
So usually, we like
sup to be finite.

01:10:19.960 --> 01:10:24.510 align:middle line:84%
But let me allow this, that if
there is no upper bound, then

01:10:24.510 --> 01:10:25.900 align:middle line:90%
I will write infinity.

01:10:25.900 --> 01:10:28.500 align:middle line:90%


01:10:28.500 --> 01:10:40.590 align:middle line:84%
So in any case, there
exist xn so that--

01:10:40.590 --> 01:10:43.200 align:middle line:90%


01:10:43.200 --> 01:10:52.500 align:middle line:84%
there exists a sequence in this
domain here so that the f of xn

01:10:52.500 --> 01:10:58.950 align:middle line:90%
converge to the sup of it

01:10:58.950 --> 01:10:59.680 align:middle line:90%
OK.

01:10:59.680 --> 01:11:03.430 align:middle line:84%
I'm allowing here-- and we
don't usually like this,

01:11:03.430 --> 01:11:05.710 align:middle line:84%
but I allow this
here to be infinite.

01:11:05.710 --> 01:11:08.010 align:middle line:84%
If it's infinite,
then I just mean

01:11:08.010 --> 01:11:11.790 align:middle line:84%
that there's a sequence
where the value of these

01:11:11.790 --> 01:11:14.390 align:middle line:84%
become larger and
larger without bound.

01:11:14.390 --> 01:11:18.990 align:middle line:90%


01:11:18.990 --> 01:11:20.070 align:middle line:90%
So I have that.

01:11:20.070 --> 01:11:24.730 align:middle line:84%
But now you see, this
here is in this range.

01:11:24.730 --> 01:11:26.040 align:middle line:90%
So this is a bounded.

01:11:26.040 --> 01:11:27.190 align:middle line:90%
This is a bounded.

01:11:27.190 --> 01:11:33.920 align:middle line:84%
So note that xn is
a bounded sequence.

01:11:33.920 --> 01:11:40.140 align:middle line:90%


01:11:40.140 --> 01:11:43.110 align:middle line:84%
So then I'm using not
Cauchy convergence theorem.

01:11:43.110 --> 01:11:46.180 align:middle line:84%
I'm using the
Bolzano-Weierstrass theorem,

01:11:46.180 --> 01:11:48.090 align:middle line:84%
which implies the Cauchy
convergence theorem.

01:11:48.090 --> 01:11:51.510 align:middle line:84%
But I will use the
Bolzano-Weierstrass theorem.

01:11:51.510 --> 01:11:53.080 align:middle line:90%
So it's a bounded sequence.

01:11:53.080 --> 01:12:04.398 align:middle line:84%
So I know that there exists
a convergent subsequence.

01:12:04.398 --> 01:12:10.020 align:middle line:90%


01:12:10.020 --> 01:12:15.590 align:middle line:84%
It's a good exercise to see
that this sequence in itself--

01:12:15.590 --> 01:12:17.060 align:middle line:84%
you can just draw
a little picture,

01:12:17.060 --> 01:12:21.800 align:middle line:84%
and you convince yourself
that this sequence in itself

01:12:21.800 --> 01:12:23.280 align:middle line:90%
may not be convergent.

01:12:23.280 --> 01:12:26.060 align:middle line:84%
But after you pass
to a subsequence,

01:12:26.060 --> 01:12:29.480 align:middle line:84%
you can find a
convergent subsequence.

01:12:29.480 --> 01:12:31.160 align:middle line:90%
So it converge.

01:12:31.160 --> 01:12:34.190 align:middle line:90%
So this here converge.

01:12:34.190 --> 01:12:38.520 align:middle line:84%
And it converges to
something in this interval.

01:12:38.520 --> 01:12:39.810 align:middle line:90%
And that's important.

01:12:39.810 --> 01:12:43.740 align:middle line:90%
So it converge to some x.

01:12:43.740 --> 01:12:50.400 align:middle line:84%
And I call this x capital
M. So it converging.

01:12:50.400 --> 01:12:53.660 align:middle line:84%
And the key point here
is that this thing here

01:12:53.660 --> 01:12:56.780 align:middle line:90%
is lying in this interval.

01:12:56.780 --> 01:13:03.090 align:middle line:84%
And the function is defined
in particular at this point.

01:13:03.090 --> 01:13:07.910 align:middle line:84%
So if this here has not
included the endpoint,

01:13:07.910 --> 01:13:11.190 align:middle line:84%
it converges to one
of the endpoint,

01:13:11.190 --> 01:13:13.590 align:middle line:84%
but the function would
not be defined there.

01:13:13.590 --> 01:13:17.080 align:middle line:84%
So you wouldn't be able to
conclude the extreme value

01:13:17.080 --> 01:13:17.810 align:middle line:90%
theorem.

01:13:17.810 --> 01:13:21.950 align:middle line:84%
But anyway, since we
include the endpoint here,

01:13:21.950 --> 01:13:29.670 align:middle line:84%
then now we have that from this
theorem that is right here,

01:13:29.670 --> 01:13:33.380 align:middle line:84%
we have that since this sequence
converge to that, we have

01:13:33.380 --> 01:13:49.070 align:middle line:84%
that the images converge to
the image of x capital N.

01:13:49.070 --> 01:13:51.800 align:middle line:84%
But on the other
hand, this sequence

01:13:51.800 --> 01:13:55.220 align:middle line:84%
here was a subsequence
of a sequence

01:13:55.220 --> 01:13:57.480 align:middle line:90%
that converges to the sup.

01:13:57.480 --> 01:14:01.950 align:middle line:84%
But if you take a sequence that
converges to whatever number,

01:14:01.950 --> 01:14:05.030 align:middle line:84%
then any subsequence will
converge to the same number.

01:14:05.030 --> 01:14:15.740 align:middle line:84%
So this here also converge
to the sup of f minus.

01:14:15.740 --> 01:14:21.470 align:middle line:84%
And so this means that these two
numbers here must be the same.

01:14:21.470 --> 01:14:24.236 align:middle line:90%
And so you should just know--

01:14:24.236 --> 01:14:27.080 align:middle line:84%
it would take you just a
second to convince yourself

01:14:27.080 --> 01:14:29.000 align:middle line:90%
that everything is fine.

01:14:29.000 --> 01:14:32.900 align:middle line:84%
If a priori, I didn't
know that the sup

01:14:32.900 --> 01:14:37.160 align:middle line:84%
was a finite number, but
infinite [INAUDIBLE] that

01:14:37.160 --> 01:14:38.570 align:middle line:90%
is still fine.

01:14:38.570 --> 01:14:42.140 align:middle line:84%
But that should
only take a minute,

01:14:42.140 --> 01:14:44.480 align:middle line:90%
to convince yourself about that.

01:14:44.480 --> 01:14:47.980 align:middle line:84%
So that proves the
extreme value theorem,

01:14:47.980 --> 01:14:53.630 align:middle line:84%
that if you take a function
that is continuous and defined

01:14:53.630 --> 01:14:56.390 align:middle line:84%
on an interval, where
the interval includes

01:14:56.390 --> 01:15:01.230 align:middle line:84%
both endpoints, then
the sup is achieved.

01:15:01.230 --> 01:15:02.480 align:middle line:90%
So the sup is really a max.

01:15:02.480 --> 01:15:06.950 align:middle line:84%
And the inf-- by a very
similar proof, the infimum

01:15:06.950 --> 01:15:07.880 align:middle line:90%
is also achieved.

01:15:07.880 --> 01:15:10.760 align:middle line:84%
And so both the
min and max, see?

01:15:10.760 --> 01:15:11.474 align:middle line:90%
Yeah?

01:15:11.474 --> 01:15:16.005 align:middle line:90%
STUDENT: [INAUDIBLE]

01:15:16.005 --> 01:15:17.213 align:middle line:90%
TOBIAS COLDING: Sorry, sorry.

01:15:17.213 --> 01:15:18.572 align:middle line:90%
STUDENT: How [INAUDIBLE]?

01:15:18.572 --> 01:15:21.290 align:middle line:90%


01:15:21.290 --> 01:15:23.550 align:middle line:90%
TOBIAS COLDING: OK.

01:15:23.550 --> 01:15:24.690 align:middle line:90%
So yeah, that's right.

01:15:24.690 --> 01:15:26.940 align:middle line:84%
So you're saying--
so this here--

01:15:26.940 --> 01:15:28.550 align:middle line:84%
so it was clear
enough that it was

01:15:28.550 --> 01:15:32.420 align:middle line:84%
a bounded sequence because it's
lying in this bounded interval.

01:15:32.420 --> 01:15:34.680 align:middle line:90%
So it's a bounded sequence.

01:15:34.680 --> 01:15:37.580 align:middle line:84%
Are you asking why such a
bounded sequence exists?

01:15:37.580 --> 01:15:39.080 align:middle line:84%
STUDENT: So how
does [INAUDIBLE]?

01:15:39.080 --> 01:15:39.872 align:middle line:90%
TOBIAS COLDING: OK.

01:15:39.872 --> 01:15:45.140 align:middle line:90%


01:15:45.140 --> 01:15:47.793 align:middle line:90%
So you have this function.

01:15:47.793 --> 01:15:54.270 align:middle line:90%


01:15:54.270 --> 01:16:00.230 align:middle line:84%
So you take the sup of
f over this interval.

01:16:00.230 --> 01:16:05.480 align:middle line:84%
And so this means that
if you take any epsilon

01:16:05.480 --> 01:16:08.410 align:middle line:84%
and you subtract
it from the sup,

01:16:08.410 --> 01:16:14.150 align:middle line:84%
then, actually, depending
on this epsilon,

01:16:14.150 --> 01:16:18.190 align:middle line:84%
there must exist so
that the value at this x

01:16:18.190 --> 01:16:20.275 align:middle line:90%
is larger than this.

01:16:20.275 --> 01:16:22.510 align:middle line:84%
And so you could
imagine, instead of

01:16:22.510 --> 01:16:26.480 align:middle line:84%
epsilon here, looking
at a sequence like this.

01:16:26.480 --> 01:16:29.000 align:middle line:84%
And then this here gives
you a sequence like that.

01:16:29.000 --> 01:16:31.863 align:middle line:90%


01:16:31.863 --> 01:16:33.530 align:middle line:84%
So that would be how
you construct this.

01:16:33.530 --> 01:16:35.920 align:middle line:90%
And the same when you do the--

01:16:35.920 --> 01:16:39.100 align:middle line:84%
and so once you have it,
it's a bounded sequence

01:16:39.100 --> 01:16:41.720 align:middle line:84%
because it's lie
between a and b.

01:16:41.720 --> 01:16:44.330 align:middle line:84%
You're using the
Bolzano-Weierstrass theorem

01:16:44.330 --> 01:16:47.840 align:middle line:84%
that we'll prove next time to
get a convergent subsequence.

01:16:47.840 --> 01:16:51.700 align:middle line:84%
And then you apply
this theorem here

01:16:51.700 --> 01:16:54.800 align:middle line:84%
to get, in that
case, the maximum--

01:16:54.800 --> 01:16:56.320 align:middle line:90%
and likewise for the minimum--

01:16:56.320 --> 01:16:59.560 align:middle line:90%
that they are achieved.

01:16:59.560 --> 01:17:02.260 align:middle line:90%
Any questions?

01:17:02.260 --> 01:17:08.000 align:middle line:90%