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CASEY RODRIGUEZ: All
right, so today, we

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are going to prove the theorem
that I mentioned last time,

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the Hahn-Banach
theorem, which is

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a theorem about
being able to extend

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a bounded linear functional on
some subspace of a norm space

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to all of the norm space.

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And this will, therefore,
answer the question

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that we posed at the
beginning of this topic,

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whether or not
the dual, which is

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the space of all bounded linear
functions on a norm space,

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is nontrivial for
every norm space.

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Now, one of the tools
we're going to need

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is this axiom or
lemma from set theory,

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which is due to Zorn,
which is as following--

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and you're going to have to
recall from the last lecture

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what some of these words mean.

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So Zorn's Lemma states
that if every chain

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in a nonempty, partially ordered
set E has an upper bound,

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then E has a maximal element.

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So a partially ordered set E--

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that means the set
E with a relation

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that's basically
like a less than

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or equal to that satisfies
three properties,

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so that it's like an extended
less than or equal to.

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And a chain is a subset of
E so that any two elements

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in that subset can be compared.

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One is either bigger than
or equal to the other.

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One is always bigger than
or equal to the other.

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And so this theorem says that
if every chain of a partially

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ordered set has an upper
bound-- that has a pretty clear

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meaning--

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then E has a maximal element.

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So a maximal element of E--

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that means an
element that is not

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less than or equal to
something other than itself.

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So anything bigger than or
equal to this maximal element

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has to be that element.

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A maximal element is not
necessarily an upper bound.

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A maximal element just
means it cannot be--

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nothing can get over its head.

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And so as a warmup, we're
going to use Zorn's Lemma

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to prove a fact
about vector spaces.

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So a Hamel basis--

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and I think I went over this
at the end of class last time--

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of a vector space V, this is
a linear independent set, H,

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such that every element of V
is a finite linear combination

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of the elements from
H. So for example,

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this set consisting
of the vector 1,

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0, and the vector 0, 1, this
is a Hamel basis for R2.

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Every element in
R2 can be written

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as a finite linear
combination of these guys.

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And the fact that
finite-dimensional spaces have

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bases is something you
discuss in linear algebra,

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but now we're in
functional analysis,

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which is linear algebra
in infinite dimensions.

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It's not so clear that every
vector space has a Hamel basis.

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And so what we're
going to do is we're

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going to apply Zorn's Lemma
to prove that every vector

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space does have a Hamel basis.

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So this is the
following theorem,

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and this argument
will kind of be

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a warmup for how we'll
apply Zorn to prove

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the Hahn-Banach theorem.

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So if V is a vector space,
then V has a Hamel basis.

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So for the proof, I am
going to apply Zorn.

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So I need to have
some ordered set.

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And my ordered
set is going to be

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let E be the set of all linearly
independent subsets of V.

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And we're going to
define an order on E.

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So E is the set of
all subsets of V

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that are linearly independent.

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And we define partial
order on E by inclusion.

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So the elements of
E are subsets of V.

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So we'll say subset is less
than or equal to another subset

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if one is included in the other.

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So e and e prime in V, then
we'll say e is less than

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or equal to e prime if and
only if this subset of V e

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is a subset of e prime.

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And again-- I think I said
this in a previous lecture--

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I'm kind of used to using
this notation for a subset,

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not necessarily a strict subset,
just from teaching 18.100A last

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semester.

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So this does not
mean a strict subset,

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so maybe put that in there.

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So this is my
partially ordered set

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which I hope to apply
the Zorn's Lemma on.

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And then what I will show
is that the maximal element

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of this set, once I
show it exists, in fact

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has to be a Hamel basis
for V. So now we'll

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apply Zorn towards
applying Zorn.

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Let C be a chain in E. That
means any two elements of C

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can be compared.

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Define little c to be equal
to union over all e in capital

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C e.

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So each of these
little e's is a subset

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of V consisting of linearly
independent elements.

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And now what I'm
taking little c to be

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is the union of all these
subsets of linearly independent

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elements.

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And I claim that this is a
linearly independent subset

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which, since this subset of V
contains every element of c,

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means c is bigger than
or equal to all of E.

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Thus, c is an upper
bound for C. So we just

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need to show that
little c is now

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linearly independent
subset, and therefore,

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all of these e's in this capital
C are bounded above by c.

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And therefore, c is an
upper bound for capital C.

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Now, to show it's a
linearly independent subset,

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we're going to use the fact that
capital C is a chain-- that you

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can always compare two things.

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So let's show that little c is
a linearly independent subset.

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That's something very specific.

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So let v 1 up to v
N be in little c.

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Then there exists e1,
e2, e n in capital C.

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So little c is the
union of all the e's.

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So these have to come from
somewhere such that for all j,

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v j is in e j.

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Now, it's not difficult
to show by induction

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that since I can compare
any two elements in C,

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I can compare any
n elements of C,

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meaning I can actually order any
finitely many elements in C. So

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to say this is a chain means I
can always order two elements,

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but by induction, it's not
difficult to show I can always

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order n elements of C. So I'm
just going to skip to that.

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And I'll leave it to you,
meaning that I can always

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find a biggest element out
of any finite collection

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of these guys.

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So since C is a chain,
there exists capital J such

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that for all j
equals 1 up to N, e j

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is less than or equal to
e capital J, which again,

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remember, this means that e
j is a subset of e capital J,

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just by how we've defined
this partial order.

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And therefore, since all of
these e j's for j from 1 to N

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are contained in
this e sub capital J,

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that means that v1 up to
v n are in E capital J.

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So I had this
finitely many from C.

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I can always compare
any two of them.

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And therefore, I pick
the biggest linearly

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independent subset out
of this finitely many.

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And all of these vectors
have to then come

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from that linearly
independent subset.

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And therefore, since this is
a linearly independent subset,

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that means these are linearly
independent, since e J is

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a linearly independent subset.

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And so we've shown every finite
collection of vectors in C

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is linearly independent.

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So we've concluded that little
c is a collection of linearly

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independent vectors.

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So we've now shown that
the hypotheses of Zorn

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are verified-- that every
chain has an upper bound,

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and therefore, this set E has
a maximal element, which I'll

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call H. So I claim that H
now spans the vector space V,

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meaning every element
of V can be written

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as a finite linear
combination of elements of H.

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So I claim that H spans V. So
when I say H spans V, that's

00:13:10.920 --> 00:13:14.100 align:middle line:84%
just a short way of saying
that every element of V

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can be written as a finite
linear combination of elements

00:13:16.560 --> 00:13:17.790 align:middle line:90%
of H.

00:13:17.790 --> 00:13:18.705 align:middle line:90%
So suppose not.

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Then there exists an element v
in capital v such that v cannot

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be written as a finite linear
combination of elements of H.

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Now, it's something
from linear algebra.

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I'm sure they went
over this before,

00:14:08.310 --> 00:14:11.820 align:middle line:84%
but if I have a linearly
independent subset

00:14:11.820 --> 00:14:13.500 align:middle line:84%
and an element that
can't be written

00:14:13.500 --> 00:14:17.130 align:middle line:84%
as a finite linear combination
of elements from that subset,

00:14:17.130 --> 00:14:20.100 align:middle line:84%
then just by adding
that element,

00:14:20.100 --> 00:14:23.055 align:middle line:84%
I now obtain a new linearly
independent subset.

00:14:23.055 --> 00:14:25.900 align:middle line:90%


00:14:25.900 --> 00:14:32.930 align:middle line:84%
And therefore, I conclude
that the set H union

00:14:32.930 --> 00:14:45.700 align:middle line:84%
v is linearly independent, a
linearly independent subset

00:14:45.700 --> 00:14:56.800 align:middle line:84%
of v. But then, H
will be less than,

00:14:56.800 --> 00:15:02.290 align:middle line:84%
meaning it is less than or
equal to, but not equal to,

00:15:02.290 --> 00:15:14.990 align:middle line:84%
which implies H is not maximum,
which is a contradiction.

00:15:14.990 --> 00:15:17.120 align:middle line:84%
Remember, H was supposed
to be the maximal element

00:15:17.120 --> 00:15:19.670 align:middle line:90%
of E. Nothing sits above H.

00:15:19.670 --> 00:15:22.970 align:middle line:84%
And if we assume that
H does not span v,

00:15:22.970 --> 00:15:25.640 align:middle line:84%
then we can tack
onto H something

00:15:25.640 --> 00:15:28.880 align:middle line:84%
making a bigger linearly
independent subset of v.

00:15:28.880 --> 00:15:32.920 align:middle line:84%
And that results
in a contradiction.

00:15:32.920 --> 00:15:39.540 align:middle line:84%
So thus, that must contradict
our initial assumption

00:15:39.540 --> 00:15:50.830 align:middle line:84%
that H did not span v. And
therefore, by definition,

00:15:50.830 --> 00:15:51.685 align:middle line:90%
it's a Hamel basis.

00:15:51.685 --> 00:16:03.750 align:middle line:90%


00:16:03.750 --> 00:16:07.890 align:middle line:84%
So we've seen this kind of
exercise, first exercise,

00:16:07.890 --> 00:16:14.160 align:middle line:84%
of using this very powerful
weapon, Zorn's Lemma

00:16:14.160 --> 00:16:19.290 align:middle line:84%
to prove this fact that every
vector space has a Hamel basis.

00:16:19.290 --> 00:16:23.730 align:middle line:84%
And now we're going to use it to
prove the Hahn-Banach theorem.

00:16:23.730 --> 00:16:28.650 align:middle line:84%
So let me state the
Hahn-Banach theorem for you,

00:16:28.650 --> 00:16:30.660 align:middle line:84%
and then we're going to
discuss the strategy.

00:16:30.660 --> 00:16:31.620 align:middle line:84%
Actually, what
I'm going to do is

00:16:31.620 --> 00:16:33.420 align:middle line:84%
I'm going to state the
Hahn-Banach theorem,

00:16:33.420 --> 00:16:34.920 align:middle line:84%
I'm going to state
a lemma, and then

00:16:34.920 --> 00:16:41.280 align:middle line:84%
I'm going to give you what
the plan is for proving

00:16:41.280 --> 00:16:43.200 align:middle line:90%
the Hahn-Banach theorem.

00:16:43.200 --> 00:16:54.060 align:middle line:84%
So the Hahn-Banach theorem
is if V is a normed space,

00:16:54.060 --> 00:17:18.579 align:middle line:84%
M is a subspace of V, and u
going from M to C is linear

00:17:18.579 --> 00:17:19.640 align:middle line:90%
such that--

00:17:19.640 --> 00:17:21.490 align:middle line:84%
so it's a bounded
linear functional--

00:17:21.490 --> 00:17:24.810 align:middle line:90%


00:17:24.810 --> 00:17:29.130 align:middle line:90%
for all t in M u of t--

00:17:29.130 --> 00:17:31.080 align:middle line:90%
so this is now a complex number.

00:17:31.080 --> 00:17:35.970 align:middle line:84%
Its absolute value is less
than or equal to constant times

00:17:35.970 --> 00:17:47.890 align:middle line:84%
norm of t, then there exists
a continuous extension of u

00:17:47.890 --> 00:17:51.430 align:middle line:84%
to the entire space and a
continuous extension that

00:17:51.430 --> 00:17:53.420 align:middle line:90%
has the same constant here.

00:17:53.420 --> 00:17:57.550 align:middle line:84%
So remember, think of this as
being the norm of little u.

00:17:57.550 --> 00:18:00.430 align:middle line:84%
And so we can extend it to
a bounded linear functional

00:18:00.430 --> 00:18:02.470 align:middle line:90%
with the same norm, essentially.

00:18:02.470 --> 00:18:07.880 align:middle line:84%
Then there exists
a capital U which

00:18:07.880 --> 00:18:15.080 align:middle line:84%
is a bounded linear
functional from V to C,

00:18:15.080 --> 00:18:20.750 align:middle line:84%
so it's an element of the
dual space such that now,

00:18:20.750 --> 00:18:27.010 align:middle line:84%
for all t in V, U
of t is less than

00:18:27.010 --> 00:18:29.650 align:middle line:90%
or equal to the same constant t.

00:18:29.650 --> 00:18:33.850 align:middle line:84%
And I should have said before,
such that capital U, when

00:18:33.850 --> 00:18:39.700 align:middle line:84%
I restrict to M, gives me
little u, and for all T in V,

00:18:39.700 --> 00:18:42.370 align:middle line:84%
capital U of t is less than
or equal to a constant times

00:18:42.370 --> 00:18:44.380 align:middle line:90%
the norm of t.

00:18:44.380 --> 00:18:48.840 align:middle line:84%
So I should have put this here
at the start of the theorem,

00:18:48.840 --> 00:18:54.070 align:middle line:84%
but this is the
Hahn-Banach theorem.

00:18:54.070 --> 00:18:56.940 align:middle line:90%


00:18:56.940 --> 00:19:00.180 align:middle line:84%
And this is a very, very
useful theorem to have.

00:19:00.180 --> 00:19:03.990 align:middle line:84%
In fact, in the exercises,
you can use this theorem

00:19:03.990 --> 00:19:11.700 align:middle line:84%
to prove that the dual of little
l infinity is not little l1.

00:19:11.700 --> 00:19:14.650 align:middle line:84%
So remember from the
second assignment

00:19:14.650 --> 00:19:16.740 align:middle line:84%
and from what I've
said in lectures,

00:19:16.740 --> 00:19:19.890 align:middle line:84%
the duel of little
l p is little l q,

00:19:19.890 --> 00:19:22.680 align:middle line:84%
where 1 over p plus
1 over q equals 1,

00:19:22.680 --> 00:19:26.040 align:middle line:84%
as long as p is bigger
than or equal to 1

00:19:26.040 --> 00:19:27.060 align:middle line:90%
and less than infinity.

00:19:27.060 --> 00:19:29.350 align:middle line:84%
And it doesn't work
for p equals infinity.

00:19:29.350 --> 00:19:31.140 align:middle line:84%
So using the
Hahn-Banach theorem,

00:19:31.140 --> 00:19:35.135 align:middle line:84%
you can show why it doesn't
work for little l infinity.

00:19:35.135 --> 00:19:36.510 align:middle line:84%
And that'll be in
the assignment.

00:19:36.510 --> 00:19:45.020 align:middle line:90%


00:19:45.020 --> 00:19:49.220 align:middle line:84%
Now, so I don't have to
keep writing all of this

00:19:49.220 --> 00:19:51.920 align:middle line:84%
over and over again, I'm
going to refer to this

00:19:51.920 --> 00:20:05.850 align:middle line:84%
as U is a continuous
extension of little u,

00:20:05.850 --> 00:20:07.920 align:middle line:84%
although that's not
quite precise because we

00:20:07.920 --> 00:20:13.870 align:middle line:84%
are extending little
u to a continuous--

00:20:13.870 --> 00:20:16.680 align:middle line:84%
so a bounded linear
operator on V,

00:20:16.680 --> 00:20:23.580 align:middle line:84%
but we're also extending it so
that the capital U satisfies

00:20:23.580 --> 00:20:25.530 align:middle line:90%
the same bound is little u.

00:20:25.530 --> 00:20:28.940 align:middle line:90%


00:20:28.940 --> 00:20:33.320 align:middle line:84%
So this is a little imprecise,
but I think you get my meaning.

00:20:33.320 --> 00:20:49.040 align:middle line:90%


00:20:49.040 --> 00:20:55.900 align:middle line:84%
So this assumption let me
denote by star, namely,

00:20:55.900 --> 00:20:58.900 align:middle line:84%
that we have a
subspace and we have

00:20:58.900 --> 00:21:01.960 align:middle line:84%
a bounded linear functional
on the subspace that

00:21:01.960 --> 00:21:03.380 align:middle line:90%
satisfies this bound.

00:21:03.380 --> 00:21:09.617 align:middle line:84%
So I'm not going to prove the
Hahn-Banach theorem just yet.

00:21:09.617 --> 00:21:11.950 align:middle line:84%
I'm going to prove a lemma
or I'm going to state a lemma

00:21:11.950 --> 00:21:13.900 align:middle line:84%
and then tell you how we're
going to use it to prove

00:21:13.900 --> 00:21:14.920 align:middle line:90%
the Hahn-Banach theorem.

00:21:14.920 --> 00:21:23.160 align:middle line:90%


00:21:23.160 --> 00:21:27.307 align:middle line:84%
Actually, we'll state
it slightly different.

00:21:27.307 --> 00:21:28.390 align:middle line:90%
I'm not going to use that.

00:21:28.390 --> 00:21:33.220 align:middle line:90%


00:21:33.220 --> 00:21:54.210 align:middle line:84%
So if V is a normed space, M,
a subset of V is a subspace,

00:21:54.210 --> 00:22:05.850 align:middle line:84%
and u from M to C is linear
such that little u of t

00:22:05.850 --> 00:22:09.600 align:middle line:84%
is less than or equal
to a constant times

00:22:09.600 --> 00:22:12.615 align:middle line:84%
the norm of t, so
for all t in M--

00:22:12.615 --> 00:22:21.760 align:middle line:90%


00:22:21.760 --> 00:22:23.980 align:middle line:84%
I think the difference
between capital U and little u

00:22:23.980 --> 00:22:26.560 align:middle line:90%
is clear enough--

00:22:26.560 --> 00:22:31.310 align:middle line:84%
then I can extend it at
least in one direction.

00:22:31.310 --> 00:22:51.060 align:middle line:84%
So in other words,
then so if M is--

00:22:51.060 --> 00:22:54.360 align:middle line:84%
and one last assumption--
and I take something that's

00:22:54.360 --> 00:23:01.000 align:middle line:84%
not in the linear subspace,
then I can extend it

00:23:01.000 --> 00:23:07.090 align:middle line:84%
to the subspace of V consisting
of M and also the direction x.

00:23:07.090 --> 00:23:22.150 align:middle line:84%
So then, there exists
u prime in the dual--

00:23:22.150 --> 00:23:24.100 align:middle line:90%
so I shouldn't use u prime.

00:23:24.100 --> 00:23:24.910 align:middle line:90%
Let's say v--

00:23:24.910 --> 00:23:28.600 align:middle line:90%


00:23:28.600 --> 00:23:30.700 align:middle line:90%
OK, well, let's use u prime--

00:23:30.700 --> 00:23:45.160 align:middle line:84%
u prime from M prime
to C, which is linear.

00:23:45.160 --> 00:23:53.280 align:middle line:84%
And here, M prime is defined to
be the subset or the subspace M

00:23:53.280 --> 00:23:53.940 align:middle line:90%
plus--

00:23:53.940 --> 00:23:59.880 align:middle line:84%
so this does not
mean quotient space.

00:23:59.880 --> 00:24:02.280 align:middle line:84%
We were using pluses
for quotient spaces.

00:24:02.280 --> 00:24:06.150 align:middle line:84%
But this is the subspace
of V consisting of M

00:24:06.150 --> 00:24:12.700 align:middle line:84%
plus elements of the
form a constant times x.

00:24:12.700 --> 00:24:26.070 align:middle line:84%
So this is elements of the form
t plus ax, where t is in M,

00:24:26.070 --> 00:24:43.280 align:middle line:84%
a is in C, such that u
prime when restricted to M

00:24:43.280 --> 00:24:51.970 align:middle line:84%
gives me u for all t prime
in M prime, u prime of t

00:24:51.970 --> 00:24:54.430 align:middle line:84%
prime, absolute
value, is less than

00:24:54.430 --> 00:25:01.690 align:middle line:84%
or equal to the same constant
times the norm of t prime.

00:25:01.690 --> 00:25:05.893 align:middle line:84%
So maybe I made a
mess of that, speaking

00:25:05.893 --> 00:25:07.060 align:middle line:90%
while I was writing a lemma.

00:25:07.060 --> 00:25:10.990 align:middle line:84%
But anyways, let's say you have
a bounded linear functional

00:25:10.990 --> 00:25:16.990 align:middle line:84%
on a subspace of V, and you
take an element that's not in M.

00:25:16.990 --> 00:25:21.910 align:middle line:84%
So the way I'll draw the
picture is there's M,

00:25:21.910 --> 00:25:27.920 align:middle line:90%
and here's something x.

00:25:27.920 --> 00:25:33.410 align:middle line:84%
Then, I can extend this
bounded linear functional

00:25:33.410 --> 00:25:39.190 align:middle line:84%
which lives on M to now
the subspace consisting

00:25:39.190 --> 00:25:44.110 align:middle line:84%
of all elements of M
plus elements plus scalar

00:25:44.110 --> 00:25:47.410 align:middle line:90%
multiples of x.

00:25:47.410 --> 00:25:49.450 align:middle line:84%
And I can do this
in a continuous way,

00:25:49.450 --> 00:25:52.030 align:middle line:84%
meaning I get a bounded
linear functional

00:25:52.030 --> 00:25:55.945 align:middle line:84%
on M prime, which satisfies
the same bound as u did.

00:25:55.945 --> 00:26:06.710 align:middle line:90%


00:26:06.710 --> 00:26:10.520 align:middle line:84%
So what's the strategy
for using this to prove

00:26:10.520 --> 00:26:13.700 align:middle line:90%
the Hahn-Banach theorem?

00:26:13.700 --> 00:26:19.640 align:middle line:84%
Just so that we're clear on why
we would be interested in such

00:26:19.640 --> 00:26:38.050 align:middle line:84%
a thing, so we
apply Zorn's Lemma

00:26:38.050 --> 00:26:51.800 align:middle line:84%
to all continuous
extensions of little u.

00:26:51.800 --> 00:26:54.930 align:middle line:84%
So now, I'm talking about how
we prove Hahn-Banach theorem.

00:26:54.930 --> 00:27:01.140 align:middle line:84%
So we define as our
partially ordered

00:27:01.140 --> 00:27:04.500 align:middle line:84%
set would be the set of all
continuous extensions of u.

00:27:04.500 --> 00:27:06.240 align:middle line:84%
And then we would
put a partial order

00:27:06.240 --> 00:27:09.180 align:middle line:84%
on that, where one
extension is bigger

00:27:09.180 --> 00:27:11.070 align:middle line:84%
than or equal to
another extension

00:27:11.070 --> 00:27:16.320 align:middle line:84%
if that extension extends
the smaller extension.

00:27:16.320 --> 00:27:21.450 align:middle line:84%
And using the argument we
did for proving the vector

00:27:21.450 --> 00:27:23.520 align:middle line:84%
space has a Hamel
basis, we can then

00:27:23.520 --> 00:27:25.980 align:middle line:90%
show that Zorn's Lemma applies.

00:27:25.980 --> 00:27:29.640 align:middle line:84%
And then, we'll have a
maximal element of this set

00:27:29.640 --> 00:27:34.970 align:middle line:90%
of continuous extensions of u.

00:27:34.970 --> 00:27:37.250 align:middle line:84%
Now, what we would
like to conclude

00:27:37.250 --> 00:27:41.330 align:middle line:84%
is that this maximal element,
this maximal continuous

00:27:41.330 --> 00:27:48.180 align:middle line:84%
extension, is
defined on all of V.

00:27:48.180 --> 00:27:54.240 align:middle line:90%
And so how would we prove that?

00:27:54.240 --> 00:27:56.030 align:middle line:84%
Well, we would do it
just kind of like we

00:27:56.030 --> 00:27:57.900 align:middle line:90%
did for the Hamel basis case.

00:27:57.900 --> 00:28:00.020 align:middle line:84%
We would suppose
not, and then we

00:28:00.020 --> 00:28:01.580 align:middle line:84%
would show that if
it was not defined

00:28:01.580 --> 00:28:05.210 align:middle line:84%
on the entire normed
space, then we

00:28:05.210 --> 00:28:13.170 align:middle line:84%
can extend that maximal
element, again using this lemma,

00:28:13.170 --> 00:28:17.250 align:middle line:84%
and therefore, contradicting
the fact that that extension was

00:28:17.250 --> 00:28:20.430 align:middle line:90%
a maximal element.

00:28:20.430 --> 00:28:23.580 align:middle line:84%
So in short, we
apply Zorn's Lemma

00:28:23.580 --> 00:28:32.930 align:middle line:84%
to all continuous extensions
of u to get a maximal element,

00:28:32.930 --> 00:28:50.720 align:middle line:84%
capital U. Two, we use the lemma
to show U is this extension,

00:28:50.720 --> 00:28:55.610 align:middle line:90%
is defined on all of capital V.

00:28:55.610 --> 00:28:59.760 align:middle line:84%
So these extensions will come
with two pieces of information.

00:28:59.760 --> 00:29:04.190 align:middle line:84%
One is the subspace,
which is bigger than M,

00:29:04.190 --> 00:29:07.140 align:middle line:84%
and then also, the
functional itself.

00:29:07.140 --> 00:29:08.840 align:middle line:84%
And so we'll use
the lemma to show

00:29:08.840 --> 00:29:11.720 align:middle line:84%
that the subspace that this
capital U is defined on

00:29:11.720 --> 00:29:14.970 align:middle line:84%
is all of V by showing
that if it's not,

00:29:14.970 --> 00:29:18.230 align:middle line:84%
then we can extend it to a
slightly bigger subspace using

00:29:18.230 --> 00:29:20.870 align:middle line:84%
the lemma, which would
contradict the fact that this

00:29:20.870 --> 00:29:24.140 align:middle line:90%
is a maximal element.

00:29:24.140 --> 00:29:25.205 align:middle line:90%
So that's the plan.

00:29:25.205 --> 00:29:31.910 align:middle line:90%


00:29:31.910 --> 00:29:39.960 align:middle line:84%
So in fact, since we have
this lemma already here,

00:29:39.960 --> 00:29:42.480 align:middle line:84%
and since I've said it so
many times, let's go ahead

00:29:42.480 --> 00:29:45.660 align:middle line:84%
and just prove the Hahn-Banach
theorem assuming this lemma

00:29:45.660 --> 00:29:48.000 align:middle line:90%
holds.

00:29:48.000 --> 00:29:51.680 align:middle line:84%
We don't need the proof of
this lemma to actually prove

00:29:51.680 --> 00:29:52.680 align:middle line:90%
the Hahn-Banach theorem.

00:29:52.680 --> 00:29:53.875 align:middle line:90%
We just need this statement.

00:29:53.875 --> 00:29:55.500 align:middle line:84%
So that's what we're
going to do first,

00:29:55.500 --> 00:29:57.975 align:middle line:84%
and then we'll go back
and prove this lemma.

00:29:57.975 --> 00:30:05.110 align:middle line:90%


00:30:05.110 --> 00:30:07.810 align:middle line:84%
So this is the proof of
the Hahn-Banach theorem.

00:30:07.810 --> 00:30:10.770 align:middle line:84%
We'll go back and prove
the lemma in a second.

00:30:10.770 --> 00:30:16.740 align:middle line:84%
So let E-- like
I said, this will

00:30:16.740 --> 00:30:20.520 align:middle line:84%
be the set of all continuous
extensions of little u.

00:30:20.520 --> 00:30:36.124 align:middle line:84%
So v, comma, let's say N such
that N is a subspace of V,

00:30:36.124 --> 00:30:38.750 align:middle line:84%
M is contained in
N-- not strictly,

00:30:38.750 --> 00:30:40.580 align:middle line:90%
but it's a subset of N--

00:30:40.580 --> 00:30:44.210 align:middle line:90%


00:30:44.210 --> 00:30:59.630 align:middle line:84%
and v is a continuous
extension of u to capital N,

00:30:59.630 --> 00:31:01.880 align:middle line:90%
meaning it satisfies--

00:31:01.880 --> 00:31:07.310 align:middle line:84%
its a bounded linear functional
on capital N. When you restrict

00:31:07.310 --> 00:31:12.050 align:middle line:84%
it to capital M, it equals U.
And is satisfies the same bound

00:31:12.050 --> 00:31:21.750 align:middle line:84%
that little u does on the
bigger subspace N. And note,

00:31:21.750 --> 00:31:28.750 align:middle line:84%
this is nonempty because
u and M are in this.

00:31:28.750 --> 00:31:35.770 align:middle line:84%
I'm not saying M has to be a
strict subspace of capital N.

00:31:35.770 --> 00:31:51.880 align:middle line:84%
And so we'll define
a partial order on E

00:31:51.880 --> 00:31:55.820 align:middle line:90%
by the following definition--

00:31:55.820 --> 00:32:06.880 align:middle line:84%
we will say v1, N1 is less
than or equal to v2, N2

00:32:06.880 --> 00:32:16.510 align:middle line:84%
if N1 is contained in N2 and
v2, when restricted to N1,

00:32:16.510 --> 00:32:18.160 align:middle line:90%
gives me v1.

00:32:18.160 --> 00:32:25.690 align:middle line:84%
So v2 is, if you like, a
continuous extension of v1.

00:32:25.690 --> 00:32:27.370 align:middle line:84%
Remember, all of
these functionals

00:32:27.370 --> 00:32:32.050 align:middle line:84%
are assumed to be satisfying
the same bound as u did,

00:32:32.050 --> 00:32:33.370 align:middle line:90%
so with the same constant.

00:32:33.370 --> 00:32:37.090 align:middle line:90%


00:32:37.090 --> 00:32:40.860 align:middle line:84%
So it's not difficult
to check, just like I

00:32:40.860 --> 00:32:43.090 align:middle line:90%
didn't check it for inclusion.

00:32:43.090 --> 00:32:49.290 align:middle line:84%
But it's not hard
to check that this

00:32:49.290 --> 00:32:51.960 align:middle line:90%
is, in fact, a partial order.

00:32:51.960 --> 00:33:02.010 align:middle line:90%


00:33:02.010 --> 00:33:05.630 align:middle line:84%
So now, we want to
apply Zorn's Lemma

00:33:05.630 --> 00:33:08.600 align:middle line:84%
to get a maximal element
of E, which we want to show

00:33:08.600 --> 00:33:15.880 align:middle line:84%
is, in fact, this u
that we say exists.

00:33:15.880 --> 00:33:19.430 align:middle line:84%
So we have to show every
chain in E has an upper bound.

00:33:19.430 --> 00:33:35.770 align:middle line:84%
So let C, which I'll denote as
v i N i for i in some index,

00:33:35.770 --> 00:33:44.580 align:middle line:84%
be a chain in E. So this
is a set of extensions,

00:33:44.580 --> 00:33:49.180 align:middle line:84%
and we can always compare
any two extensions in there.

00:33:49.180 --> 00:33:53.610 align:middle line:84%
So let me just repeat
or write down again

00:33:53.610 --> 00:33:55.890 align:middle line:90%
what this means to be a chain.

00:33:55.890 --> 00:34:02.130 align:middle line:84%
This means, then, for
all i1, i2 in this index

00:34:02.130 --> 00:34:09.540 align:middle line:84%
that I'm using just to index
these elements of the chain,

00:34:09.540 --> 00:34:23.020 align:middle line:84%
either v i1 in i1 is less
than or equal to v i2 in i2

00:34:23.020 --> 00:34:27.288 align:middle line:90%
or vice versa.

00:34:27.288 --> 00:34:29.080 align:middle line:84%
I can't remember if a
C goes there or an S,

00:34:29.080 --> 00:34:31.989 align:middle line:84%
so I'm going to put an
S. One is either bigger

00:34:31.989 --> 00:34:33.820 align:middle line:84%
than-- whenever I
have two elements,

00:34:33.820 --> 00:34:35.260 align:middle line:90%
I can always compare them.

00:34:35.260 --> 00:34:42.110 align:middle line:90%


00:34:42.110 --> 00:34:49.250 align:middle line:84%
Let N be the union of all
these subspaces coming

00:34:49.250 --> 00:34:51.139 align:middle line:90%
from this collection.

00:34:51.139 --> 00:34:57.530 align:middle line:90%


00:34:57.530 --> 00:35:03.310 align:middle line:84%
Now, again, it's not
difficult to show

00:35:03.310 --> 00:35:05.430 align:middle line:90%
that N is, in fact, a subspace.

00:35:05.430 --> 00:35:12.840 align:middle line:84%
So I claim N is a
subspace, and again, we're

00:35:12.840 --> 00:35:16.020 align:middle line:84%
going to use the fact
that C is a chain

00:35:16.020 --> 00:35:19.480 align:middle line:90%
to be able to verify this.

00:35:19.480 --> 00:35:33.480 align:middle line:84%
Let v1, v2 be in N. And let's
take two scalars, a1, a2 in C.

00:35:33.480 --> 00:35:41.430 align:middle line:84%
I want to show that a1 times v1
plus a2 times v2 remains in N.

00:35:41.430 --> 00:35:54.570 align:middle line:84%
Then there exists i1 i2 indices
such that v1 is in N i1 and v2

00:35:54.570 --> 00:35:59.730 align:middle line:90%
to is in N i2.

00:35:59.730 --> 00:36:05.550 align:middle line:84%
Now, I can always
compare any two subspaces

00:36:05.550 --> 00:36:09.230 align:middle line:84%
that are appearing in
this set of ordered pairs

00:36:09.230 --> 00:36:10.460 align:middle line:90%
forming this chain.

00:36:10.460 --> 00:36:13.040 align:middle line:84%
So one of these subspaces
is bigger than the other.

00:36:13.040 --> 00:36:16.770 align:middle line:90%


00:36:16.770 --> 00:36:26.980 align:middle line:84%
Then just by flipping
1 and 2, if I need to,

00:36:26.980 --> 00:36:38.090 align:middle line:84%
and since C is a chain,
N i1 is contained in N i2

00:36:38.090 --> 00:36:39.440 align:middle line:90%
without loss of generality.

00:36:39.440 --> 00:36:43.390 align:middle line:84%
So it will either be N
i1 will be contained in N

00:36:43.390 --> 00:36:45.390 align:middle line:90%
i2 or the other way around.

00:36:45.390 --> 00:36:47.780 align:middle line:84%
And if it's the
other way around,

00:36:47.780 --> 00:36:50.180 align:middle line:90%
just flip the numbers 1 and 2.

00:36:50.180 --> 00:36:52.670 align:middle line:84%
So I'm going to assume N
i1 is contained in N i2.

00:36:52.670 --> 00:36:56.705 align:middle line:84%
Then that means both of these
elements are contained in N i2.

00:36:56.705 --> 00:37:00.349 align:middle line:90%


00:37:00.349 --> 00:37:03.730 align:middle line:84%
v1, v2 are both
in the bigger one,

00:37:03.730 --> 00:37:06.700 align:middle line:84%
and since this is
a subspace, this

00:37:06.700 --> 00:37:15.850 align:middle line:84%
means that a1v1 plus a2v2
is in N i2, which remember,

00:37:15.850 --> 00:37:25.465 align:middle line:84%
is a subset of N. And
therefore, N is a subspace.

00:37:25.465 --> 00:37:36.200 align:middle line:90%


00:37:36.200 --> 00:37:39.190 align:middle line:84%
So I now have a
subspace which contains

00:37:39.190 --> 00:37:41.830 align:middle line:84%
all of these subspaces
coming from the chain.

00:37:41.830 --> 00:37:45.160 align:middle line:84%
Now I need to define
a linear functional

00:37:45.160 --> 00:37:48.400 align:middle line:84%
on this subspace
N that extends all

00:37:48.400 --> 00:37:51.100 align:middle line:90%
the v i's in a continuous way.

00:37:51.100 --> 00:37:55.870 align:middle line:84%
And this would give me an
upper bound for this chain.

00:37:55.870 --> 00:37:59.230 align:middle line:84%
But it's not difficult
to guess what

00:37:59.230 --> 00:38:01.330 align:middle line:90%
that linear functional will be.

00:38:01.330 --> 00:38:06.130 align:middle line:90%


00:38:06.130 --> 00:38:13.420 align:middle line:84%
We define v-- or not, I don't
think I use v. Yeah I do.

00:38:13.420 --> 00:38:14.670 align:middle line:90%
Well, let's not do that.

00:38:14.670 --> 00:38:22.160 align:middle line:90%


00:38:22.160 --> 00:38:25.280 align:middle line:84%
So I mean, I shouldn't
have used v1 and v2

00:38:25.280 --> 00:38:29.660 align:middle line:84%
when talking about
the subspace business.

00:38:29.660 --> 00:38:33.430 align:middle line:84%
That was poor
choice of notation.

00:38:33.430 --> 00:38:37.050 align:middle line:90%


00:38:37.050 --> 00:38:41.670 align:middle line:90%
So let's make that x1, x2.

00:38:41.670 --> 00:38:56.300 align:middle line:84%
And the chain, blah, blah, blah,
x1, x2, and therefore x1, x2

00:38:56.300 --> 00:38:56.840 align:middle line:90%
is in--

00:38:56.840 --> 00:38:57.870 align:middle line:90%
OK.

00:38:57.870 --> 00:39:01.850 align:middle line:84%
So I just don't want to mix
up the elements of the vector

00:39:01.850 --> 00:39:07.710 align:middle line:84%
space with these functionals,
which I'm labeling by v.

00:39:07.710 --> 00:39:19.310 align:middle line:84%
So now, we define a function v
from N to C by the following--

00:39:19.310 --> 00:39:23.390 align:middle line:90%


00:39:23.390 --> 00:39:26.930 align:middle line:84%
if t is an element
of this union,

00:39:26.930 --> 00:39:32.350 align:middle line:84%
it has to be an element
of one of these N sub i's.

00:39:32.350 --> 00:39:38.200 align:middle line:84%
Then I define v of
t to be simply v

00:39:38.200 --> 00:39:41.335 align:middle line:84%
sub i, which is defined
on this linear subspace.

00:39:41.335 --> 00:39:46.590 align:middle line:90%


00:39:46.590 --> 00:39:51.180 align:middle line:84%
And so I take v of t to be
the value of v sub i evaluated

00:39:51.180 --> 00:39:51.690 align:middle line:90%
at t.

00:39:51.690 --> 00:39:54.720 align:middle line:84%
So now, one question is,
is this well defined?

00:39:54.720 --> 00:40:00.880 align:middle line:84%
Because an element t
in N sub i could also

00:40:00.880 --> 00:40:03.055 align:middle line:84%
have been an element
of a different N sub i.

00:40:03.055 --> 00:40:12.900 align:middle line:90%


00:40:12.900 --> 00:40:14.500 align:middle line:90%
So is this well defined?

00:40:14.500 --> 00:40:15.390 align:middle line:90%
So we have to check.

00:40:15.390 --> 00:40:23.562 align:middle line:90%


00:40:23.562 --> 00:40:29.630 align:middle line:84%
If it's in two of
these, does this

00:40:29.630 --> 00:40:38.080 align:middle line:84%
imply, question mark, v
i1 of t equals v i2 of t?

00:40:38.080 --> 00:40:42.400 align:middle line:84%
And again, we're going to use
the fact that this is a chain

00:40:42.400 --> 00:40:45.050 align:middle line:90%
to verify this.

00:40:45.050 --> 00:40:55.900 align:middle line:84%
So suppose t is N sub
i1 intersect N sub i2.

00:40:55.900 --> 00:41:01.990 align:middle line:84%
And again, for any two
elements of this chain,

00:41:01.990 --> 00:41:03.110 align:middle line:90%
we can compare them.

00:41:03.110 --> 00:41:06.826 align:middle line:84%
So let's assume i2 corresponds
to the bigger index.

00:41:06.826 --> 00:41:16.550 align:middle line:84%
So v i1 N i1 is less than
or equal to v i2, N i2.

00:41:16.550 --> 00:41:23.380 align:middle line:90%


00:41:23.380 --> 00:41:27.940 align:middle line:84%
Now, this order
not only is defined

00:41:27.940 --> 00:41:29.680 align:middle line:84%
in terms of the
subspaces, remember,

00:41:29.680 --> 00:41:32.890 align:middle line:84%
but in terms of the functionals
defined on these subspaces.

00:41:32.890 --> 00:41:35.650 align:middle line:84%
And it's defined by the
fact that this functional

00:41:35.650 --> 00:41:37.990 align:middle line:84%
is an extension of
this functional.

00:41:37.990 --> 00:41:53.060 align:middle line:84%
And therefore, since v
i2 is the bigger one,

00:41:53.060 --> 00:41:59.440 align:middle line:90%
it extends the smaller one.

00:41:59.440 --> 00:42:05.230 align:middle line:84%
This implies v i2 of
t equals v i1 of t.

00:42:05.230 --> 00:42:16.320 align:middle line:84%
And therefore, v
is well defined.

00:42:16.320 --> 00:42:19.740 align:middle line:84%
And not only that,
you can also--

00:42:19.740 --> 00:42:25.890 align:middle line:84%
so I wrote this out carefully
showing it's well defined,

00:42:25.890 --> 00:42:28.320 align:middle line:84%
but by a similar
argument, you can then

00:42:28.320 --> 00:42:31.180 align:middle line:90%
show that v is, in fact linear.

00:42:31.180 --> 00:42:36.780 align:middle line:84%
And let's see, do I do
that or do I stop there?

00:42:36.780 --> 00:42:39.970 align:middle line:90%


00:42:39.970 --> 00:42:45.220 align:middle line:84%
So it's well defined
on N. It's also

00:42:45.220 --> 00:42:49.660 align:middle line:84%
an extension of every single
functional defined on each N

00:42:49.660 --> 00:42:50.590 align:middle line:90%
sub i.

00:42:50.590 --> 00:42:54.730 align:middle line:84%
So the last thing to
check is that it's linear

00:42:54.730 --> 00:42:59.770 align:middle line:84%
and it's a continuous extension
of all these v i's, meaning

00:42:59.770 --> 00:43:01.810 align:middle line:90%
it satisfies the same bound.

00:43:01.810 --> 00:43:05.380 align:middle line:84%
But all of the v i's
satisfy that bound.

00:43:05.380 --> 00:43:10.570 align:middle line:84%
V is defined in terms of
the v i's, so we can just

00:43:10.570 --> 00:43:13.990 align:middle line:84%
read off from here that v
will satisfy that same bound.

00:43:13.990 --> 00:43:21.740 align:middle line:90%


00:43:21.740 --> 00:43:29.640 align:middle line:84%
So I will leave it to you
that you can check that v is

00:43:29.640 --> 00:43:36.080 align:middle line:84%
an element of the dual
space of this subspace N,

00:43:36.080 --> 00:43:38.880 align:middle line:84%
so it's a bounded
linear functional on N

00:43:38.880 --> 00:43:49.680 align:middle line:84%
and a continuous
extension of all v i's.

00:43:49.680 --> 00:44:11.540 align:middle line:90%


00:44:11.540 --> 00:44:22.720 align:middle line:84%
So for all i, for little i and
capital I, we conclude v i,

00:44:22.720 --> 00:44:26.770 align:middle line:84%
N i is less than
or equal to V, N,

00:44:26.770 --> 00:44:47.130 align:middle line:84%
and therefore, v, N is
an upper bound of C.

00:44:47.130 --> 00:44:51.360 align:middle line:84%
So we've verified the
hypotheses of Zorn's Lemma

00:44:51.360 --> 00:44:53.220 align:middle line:90%
which I just erased.

00:44:53.220 --> 00:44:57.640 align:middle line:84%
So that means that set
E has a maximal element.

00:44:57.640 --> 00:45:16.650 align:middle line:84%
So by Zorn, the set E has the
maximal element capital U, N.

00:45:16.650 --> 00:45:27.610 align:middle line:84%
So I claim N equals V.
And therefore, capital U

00:45:27.610 --> 00:45:28.240 align:middle line:90%
does the job.

00:45:28.240 --> 00:45:34.340 align:middle line:84%
Because remember,
since capital U,

00:45:34.340 --> 00:45:36.350 align:middle line:84%
capital N is an
element of E, that

00:45:36.350 --> 00:45:41.240 align:middle line:84%
means capital U is a continuous
extension of little u.

00:45:41.240 --> 00:45:44.510 align:middle line:84%
And now we just want to conclude
that for this maximal element,

00:45:44.510 --> 00:45:51.790 align:middle line:84%
the subspace on which it's
defined is the entire space V.

00:45:51.790 --> 00:45:53.815 align:middle line:90%
So suppose not.

00:45:53.815 --> 00:45:58.760 align:middle line:90%


00:45:58.760 --> 00:46:14.730 align:middle line:84%
Let x be an element
not in N. By the lemma,

00:46:14.730 --> 00:46:26.370 align:middle line:84%
there exists a continuous
extension of capital

00:46:26.370 --> 00:46:37.440 align:middle line:84%
U to the subspace N
plus the span of x.

00:46:37.440 --> 00:46:43.370 align:middle line:90%


00:46:43.370 --> 00:46:45.800 align:middle line:84%
And this is a
continuous extension

00:46:45.800 --> 00:46:47.990 align:middle line:84%
of capital U, which is
a continuous extension

00:46:47.990 --> 00:46:48.800 align:middle line:90%
of little u.

00:46:48.800 --> 00:46:54.650 align:middle line:84%
And therefore, it's a continuous
extension of little u.

00:46:54.650 --> 00:47:01.630 align:middle line:84%
so continuous extension,
let's call this something.

00:47:01.630 --> 00:47:03.475 align:middle line:90%
Let's call it little v--

00:47:03.475 --> 00:47:16.450 align:middle line:90%


00:47:16.450 --> 00:47:18.830 align:middle line:90%
v N plus.

00:47:18.830 --> 00:47:25.190 align:middle line:90%


00:47:25.190 --> 00:47:31.910 align:middle line:84%
So if the subspace that
capital U is defined on

00:47:31.910 --> 00:47:34.100 align:middle line:84%
is not all of v,
then by the lemma,

00:47:34.100 --> 00:47:37.430 align:middle line:84%
we can extend capital
U continuously to N

00:47:37.430 --> 00:47:40.910 align:middle line:90%
plus the span of x.

00:47:40.910 --> 00:47:43.820 align:middle line:84%
And therefore, this element
will be a continuous extension

00:47:43.820 --> 00:47:46.130 align:middle line:90%
of little u.

00:47:46.130 --> 00:47:51.030 align:middle line:84%
And therefore, it's
an element of E.

00:47:51.030 --> 00:48:05.350 align:middle line:84%
But then, U, N is smaller
than v N plus the span of x.

00:48:05.350 --> 00:48:08.410 align:middle line:84%
This is a bigger
subspace than this

00:48:08.410 --> 00:48:15.510 align:middle line:84%
because x is not in
N, which implies u,

00:48:15.510 --> 00:48:21.390 align:middle line:90%
N is not a maximal element.

00:48:21.390 --> 00:48:22.860 align:middle line:90%
And that's a contradiction.

00:48:22.860 --> 00:48:26.190 align:middle line:90%
And what did we contradict?

00:48:26.190 --> 00:48:28.830 align:middle line:84%
Or what was the assumption
that led us astray

00:48:28.830 --> 00:48:32.490 align:middle line:84%
is the fact that we assumed
that this maximal element is not

00:48:32.490 --> 00:48:36.495 align:middle line:84%
defined on all of the
entire normed space.

00:48:36.495 --> 00:48:39.350 align:middle line:90%


00:48:39.350 --> 00:48:50.080 align:middle line:84%
Thus, U is defined on
the entire normed space

00:48:50.080 --> 00:49:00.510 align:middle line:84%
and it's a continuous
of little u.

00:49:00.510 --> 00:49:02.790 align:middle line:84%
And that's the proof
of Hahn-Banach.

00:49:02.790 --> 00:49:05.370 align:middle line:90%


00:49:05.370 --> 00:49:10.050 align:middle line:84%
So I hope that the
proof was clear.

00:49:10.050 --> 00:49:12.900 align:middle line:84%
If you followed the
Hamel basis argument,

00:49:12.900 --> 00:49:19.910 align:middle line:84%
this should be reasonable
to expect, too.

00:49:19.910 --> 00:49:22.970 align:middle line:84%
This argument is almost the same
as the Hamel basis argument,

00:49:22.970 --> 00:49:26.270 align:middle line:84%
except now, instead of
the Hamel basis where

00:49:26.270 --> 00:49:30.140 align:middle line:84%
the elements of our partially
ordered set are just subsets,

00:49:30.140 --> 00:49:34.490 align:middle line:84%
we also have two pieces of
data for our partially ordered

00:49:34.490 --> 00:49:39.350 align:middle line:84%
set here, one being the
subspace and the second

00:49:39.350 --> 00:49:41.990 align:middle line:84%
being the functional that's
defined on that subspace, that

00:49:41.990 --> 00:49:46.310 align:middle line:84%
extends the original continuous
linear functional that we

00:49:46.310 --> 00:49:47.750 align:middle line:90%
wanted to extend.

00:49:47.750 --> 00:49:52.920 align:middle line:90%


00:49:52.920 --> 00:49:57.605 align:middle line:84%
So let's prove the
lemma, and that

00:49:57.605 --> 00:49:59.730 align:middle line:84%
will conclude the proof of
the Hahn-Banach theorem.

00:49:59.730 --> 00:50:03.130 align:middle line:90%


00:50:03.130 --> 00:50:12.810 align:middle line:84%
So now, we're going
to proof a lemma.

00:50:12.810 --> 00:50:15.690 align:middle line:84%
So that lemma up there,
if V is a normed space

00:50:15.690 --> 00:50:21.490 align:middle line:84%
and you take something
that's not in the subspace,

00:50:21.490 --> 00:50:24.750 align:middle line:84%
then you can extend
U continuously

00:50:24.750 --> 00:50:27.045 align:middle line:90%
to this bigger subspace.

00:50:27.045 --> 00:50:30.690 align:middle line:90%


00:50:30.690 --> 00:50:36.240 align:middle line:84%
So first off, even though I keep
saying that this is a subspace,

00:50:36.240 --> 00:50:38.993 align:middle line:84%
this is kind of something
that needs to be--

00:50:38.993 --> 00:50:41.160 align:middle line:84%
I mean it's not difficult
to check, but still check.

00:50:41.160 --> 00:50:44.670 align:middle line:84%
But also, one thing we
need is that every element

00:50:44.670 --> 00:50:51.150 align:middle line:84%
in a subspace plus
this constant times x

00:50:51.150 --> 00:50:52.230 align:middle line:90%
can be written uniquely.

00:50:52.230 --> 00:51:18.200 align:middle line:84%
So we first note if t
prime is in M prime, which

00:51:18.200 --> 00:51:25.810 align:middle line:84%
remember is M plus
a constant times x,

00:51:25.810 --> 00:51:34.440 align:middle line:84%
then there exists unique t and
M and a in complex numbers such

00:51:34.440 --> 00:51:38.190 align:middle line:84%
that t prime equals
t plus a times x.

00:51:38.190 --> 00:51:42.150 align:middle line:90%


00:51:42.150 --> 00:51:45.360 align:middle line:90%
So why is that?

00:51:45.360 --> 00:51:48.060 align:middle line:84%
Why can an element
of this space not

00:51:48.060 --> 00:51:49.690 align:middle line:84%
have two different
representations,

00:51:49.690 --> 00:51:52.920 align:middle line:84%
not be written as two different
elements of M plus two

00:51:52.920 --> 00:51:54.720 align:middle line:90%
different scalar times x?

00:51:54.720 --> 00:52:02.910 align:middle line:84%
Well, if t plus ax equals t
tilde plus a tilde x, then

00:52:02.910 --> 00:52:09.180 align:middle line:84%
this implies that a
minus a tilde times x is

00:52:09.180 --> 00:52:16.690 align:middle line:84%
equal to t tilde minus t,
which is in M. M is a subspace.

00:52:16.690 --> 00:52:26.240 align:middle line:84%
So the difference of two
elements of M is in M,

00:52:26.240 --> 00:52:32.000 align:middle line:84%
and therefore, if a
does not equal a tilde,

00:52:32.000 --> 00:52:35.380 align:middle line:84%
then that means x is equal to a
constant multiple of something

00:52:35.380 --> 00:52:39.310 align:middle line:84%
in M. And therefore,
x is in M. So we

00:52:39.310 --> 00:52:44.040 align:middle line:84%
conclude that a must
equal a tilde, which

00:52:44.040 --> 00:52:50.820 align:middle line:84%
implies from assuming they're
equal that t equals t tilde.

00:52:50.820 --> 00:52:54.270 align:middle line:84%
So every element in
this larger subspace

00:52:54.270 --> 00:52:58.230 align:middle line:84%
can be written uniquely as
an element of M plus a scalar

00:52:58.230 --> 00:52:59.025 align:middle line:90%
multiple of x.

00:52:59.025 --> 00:53:06.940 align:middle line:90%


00:53:06.940 --> 00:53:09.980 align:middle line:90%
Now, why do we need this fact?

00:53:09.980 --> 00:53:12.670 align:middle line:84%
We need this fact
to be able to say

00:53:12.670 --> 00:53:16.090 align:middle line:84%
that this linear functional
that we're going to define,

00:53:16.090 --> 00:53:21.100 align:middle line:84%
that we hope to say
extends u continuously,

00:53:21.100 --> 00:53:23.120 align:middle line:90%
is in fact well defined.

00:53:23.120 --> 00:53:39.430 align:middle line:84%
So thus, upon choosing a number
lambda in the complex numbers,

00:53:39.430 --> 00:53:57.280 align:middle line:84%
the map u prime of t plus ax
given by u of t plus a lambda

00:53:57.280 --> 00:54:10.320 align:middle line:84%
is well defined on M
prime because we've

00:54:10.320 --> 00:54:11.910 align:middle line:84%
shown every element
of M prime can be

00:54:11.910 --> 00:54:14.640 align:middle line:90%
written uniquely in this way.

00:54:14.640 --> 00:54:25.860 align:middle line:84%
It's well defined on M prime and
u prime going from M prime to C

00:54:25.860 --> 00:54:26.370 align:middle line:90%
is linear.

00:54:26.370 --> 00:54:30.790 align:middle line:90%


00:54:30.790 --> 00:54:38.280 align:middle line:84%
So if the original
functional little u--

00:54:38.280 --> 00:54:40.410 align:middle line:84%
if that constant
C is equal to 0,

00:54:40.410 --> 00:54:42.240 align:middle line:84%
then little u is
just identically 0.

00:54:42.240 --> 00:54:44.680 align:middle line:84%
And we know how to extend
the zero functional.

00:54:44.680 --> 00:54:50.170 align:middle line:84%
So let's suppose
capital C is nonzero.

00:54:50.170 --> 00:54:53.350 align:middle line:84%
And if I divide
little u by capital C,

00:54:53.350 --> 00:54:59.560 align:middle line:84%
I can then extend that
functional with the capital

00:54:59.560 --> 00:55:04.090 align:middle line:84%
C equals 1 and obtain
an extension satisfying

00:55:04.090 --> 00:55:06.490 align:middle line:90%
the bound I want.

00:55:06.490 --> 00:55:12.800 align:middle line:84%
And so what I'm saying
kind of poorly is that--

00:55:12.800 --> 00:55:16.830 align:middle line:90%


00:55:16.830 --> 00:55:18.940 align:middle line:84%
I'll leave you a second
to think about it.

00:55:18.940 --> 00:55:22.230 align:middle line:84%
It's not difficult
to understand why,

00:55:22.230 --> 00:55:29.470 align:middle line:84%
without loss of generality,
we can assume C equals 1.

00:55:29.470 --> 00:55:32.420 align:middle line:90%


00:55:32.420 --> 00:55:36.110 align:middle line:84%
So if we do the C equals 1
case, then for the case C not

00:55:36.110 --> 00:55:41.000 align:middle line:84%
equal to 1, we extend u over
capital C using the C equals 1

00:55:41.000 --> 00:55:41.630 align:middle line:90%
case.

00:55:41.630 --> 00:55:44.280 align:middle line:90%
And then the result follows.

00:55:44.280 --> 00:55:51.030 align:middle line:84%
So we'll just do the
case capital C equals 1.

00:55:51.030 --> 00:55:59.580 align:middle line:84%
So now, our one free
parameter is lambda.

00:55:59.580 --> 00:56:02.460 align:middle line:90%


00:56:02.460 --> 00:56:03.255 align:middle line:90%
And this is for--

00:56:03.255 --> 00:56:11.110 align:middle line:90%


00:56:11.110 --> 00:56:16.030 align:middle line:84%
and we want to be able to
choose lambda so that--

00:56:16.030 --> 00:56:19.450 align:middle line:84%
so this is already an
extension of little u

00:56:19.450 --> 00:56:21.190 align:middle line:90%
if I take a equals 0.

00:56:21.190 --> 00:56:23.380 align:middle line:84%
So I'm just taking
elements in M.

00:56:23.380 --> 00:56:27.520 align:middle line:84%
This is u prime of
t is equal to u of t

00:56:27.520 --> 00:56:31.000 align:middle line:84%
So it's already an
extension of little u

00:56:31.000 --> 00:56:32.590 align:middle line:90%
to this bigger subspace.

00:56:32.590 --> 00:56:35.810 align:middle line:84%
And now we want to be
able to choose lambda

00:56:35.810 --> 00:56:38.860 align:middle line:84%
so that it extends it
in a continuous way

00:56:38.860 --> 00:56:43.330 align:middle line:84%
with the same constant being 1
and that inequality up there.

00:56:43.330 --> 00:56:45.580 align:middle line:90%
So I keep pointing up there.

00:56:45.580 --> 00:56:48.520 align:middle line:84%
I don't think the
camera's looking up there,

00:56:48.520 --> 00:56:56.590 align:middle line:84%
so you have to hopefully
interpret my meaning correctly.

00:56:56.590 --> 00:57:01.410 align:middle line:84%
So we want to choose
lambda, complex number,

00:57:01.410 --> 00:57:05.850 align:middle line:90%
such that the following holds--

00:57:05.850 --> 00:57:19.170 align:middle line:84%
for all t in M, a in C, u prime
of t plus ax, which is just

00:57:19.170 --> 00:57:22.790 align:middle line:84%
u of t plus a lambda
in absolute value

00:57:22.790 --> 00:57:29.960 align:middle line:84%
is less than or equal to
the norm of t plus a lambda.

00:57:29.960 --> 00:57:32.090 align:middle line:84%
If we're able to do
that, then u prime

00:57:32.090 --> 00:57:35.690 align:middle line:84%
is then our continuous extension
that we're looking for.

00:57:35.690 --> 00:57:58.570 align:middle line:90%


00:57:58.570 --> 00:58:05.570 align:middle line:84%
So all that we need to
do now is find a lambda

00:58:05.570 --> 00:58:08.730 align:middle line:90%
so that this holds.

00:58:08.730 --> 00:58:10.855 align:middle line:84%
And once we've done that,
we've finished the proof.

00:58:10.855 --> 00:58:19.330 align:middle line:90%


00:58:19.330 --> 00:58:23.740 align:middle line:84%
Now, that thing I
boxed in a minute ago,

00:58:23.740 --> 00:58:26.440 align:middle line:84%
we're going to reduce
it to a simplest form.

00:58:26.440 --> 00:58:33.570 align:middle line:90%


00:58:33.570 --> 00:58:41.280 align:middle line:84%
Now, what's in the box
holds regardless what

00:58:41.280 --> 00:58:45.390 align:middle line:90%
lambda is when a is equal to 0.

00:58:45.390 --> 00:58:48.300 align:middle line:84%
And now what I'm going to do
is basically remove the fact

00:58:48.300 --> 00:58:50.560 align:middle line:90%
that a can change.

00:58:50.560 --> 00:59:02.140 align:middle line:84%
So the estimate u of t
plus a lambda less than

00:59:02.140 --> 00:59:14.080 align:middle line:84%
or equal to t plus
a lambda holds

00:59:14.080 --> 00:59:20.060 align:middle line:84%
when a equals 0 regardless
of how we've chosen lambda.

00:59:20.060 --> 00:59:22.240 align:middle line:84%
So we just need to be
able to choose lambda so

00:59:22.240 --> 00:59:25.150 align:middle line:90%
that this holds for a nonzero.

00:59:25.150 --> 00:59:35.110 align:middle line:90%


00:59:35.110 --> 00:59:38.740 align:middle line:84%
Consider trying to choose
lambda so that this

00:59:38.740 --> 00:59:43.790 align:middle line:90%
holds for all a nonzero.

00:59:43.790 --> 00:59:50.230 align:middle line:84%
Now, let me take this
inequality here and divide it by

00:59:50.230 --> 00:59:51.655 align:middle line:90%
the absolute value of a.

00:59:51.655 --> 00:59:54.390 align:middle line:90%


00:59:54.390 --> 01:00:03.990 align:middle line:84%
Then that inequality
for a not equal to 0,

01:00:03.990 --> 01:00:10.245 align:middle line:84%
this is equivalent to if
I divide by the norm of a

01:00:10.245 --> 01:00:22.800 align:middle line:84%
and bring this inside the norm,
u of t minus a minus lambda

01:00:22.800 --> 01:00:26.210 align:middle line:90%
is less than or equal to--

01:00:26.210 --> 01:00:28.823 align:middle line:84%
I should say this
is an absolute value

01:00:28.823 --> 01:00:30.115 align:middle line:90%
and that's the absolute value--

01:00:30.115 --> 01:00:36.380 align:middle line:90%


01:00:36.380 --> 01:00:43.790 align:middle line:84%
less than or equal to t
over minus a minus lambda

01:00:43.790 --> 01:00:52.300 align:middle line:84%
for all t in M. Now, if t is in
M, t over minus a is also in M.

01:00:52.300 --> 01:00:58.450 align:middle line:84%
So this bound here is
equivalent to showing

01:00:58.450 --> 01:01:04.360 align:middle line:84%
that we can choose lambda
so that u of t minus lambda

01:01:04.360 --> 01:01:07.960 align:middle line:84%
is less than or equal
to the norm of t

01:01:07.960 --> 01:01:15.340 align:middle line:84%
minus lambda for all t in M. So
since t is a subspace proving

01:01:15.340 --> 01:01:19.870 align:middle line:84%
this bound, or choosing lambda
so that this bound holds,

01:01:19.870 --> 01:01:23.740 align:middle line:84%
is equivalent to choosing
lambda so that this bound holds.

01:01:23.740 --> 01:01:30.470 align:middle line:90%
So in sum or in summary--

01:01:30.470 --> 01:01:32.920 align:middle line:90%
I should say in sum.

01:01:32.920 --> 01:01:40.500 align:middle line:84%
I'm thinking in
terms of notation.

01:01:40.500 --> 01:01:43.220 align:middle line:84%
So in summary, the thing that
we wanted to show originally,

01:01:43.220 --> 01:01:46.190 align:middle line:84%
that we can choose lambda
so that for all t in M

01:01:46.190 --> 01:01:50.420 align:middle line:84%
a complex number,
that inequality holds,

01:01:50.420 --> 01:01:53.250 align:middle line:84%
is equivalent to showing
that we can choose lambda

01:01:53.250 --> 01:01:57.092 align:middle line:90%
so that this inequality holds.

01:01:57.092 --> 01:01:57.800 align:middle line:90%
That's the point.

01:01:57.800 --> 01:02:01.953 align:middle line:90%


01:02:01.953 --> 01:02:03.370 align:middle line:84%
And now, what we're
going to do is

01:02:03.370 --> 01:02:08.530 align:middle line:84%
we're going to choose the real
and imaginary parts of lambda.

01:02:08.530 --> 01:02:12.100 align:middle line:84%
And we'll choose the real
part of lambda first.

01:02:12.100 --> 01:02:13.180 align:middle line:90%
So we first prove--

01:02:13.180 --> 01:02:19.050 align:middle line:90%


01:02:19.050 --> 01:02:20.050 align:middle line:90%
piece of chalk is weird.

01:02:20.050 --> 01:02:21.383 align:middle line:90%
I've got to get a different one.

01:02:21.383 --> 01:02:25.500 align:middle line:90%


01:02:25.500 --> 01:02:31.060 align:middle line:84%
So we first prove
that there exists

01:02:31.060 --> 01:02:41.950 align:middle line:84%
an alpha in R such that w of t
minus alpha in absolute value

01:02:41.950 --> 01:02:48.460 align:middle line:84%
is less than or equal to t
minus alpha for all t in M.

01:02:48.460 --> 01:02:49.885 align:middle line:90%
And what is w of t?

01:02:49.885 --> 01:02:53.610 align:middle line:90%


01:02:53.610 --> 01:02:57.450 align:middle line:84%
This is equal to the
real part of u of t.

01:02:57.450 --> 01:03:01.130 align:middle line:90%


01:03:01.130 --> 01:03:03.920 align:middle line:84%
Which let me remind
you, this is just

01:03:03.920 --> 01:03:09.860 align:middle line:84%
equal to u of t plus u of
t complex conjugate over 2.

01:03:09.860 --> 01:03:19.520 align:middle line:90%


01:03:19.520 --> 01:03:22.760 align:middle line:84%
Now, the real part
of any complex number

01:03:22.760 --> 01:03:26.750 align:middle line:84%
is always less than or
equal to the absolute value

01:03:26.750 --> 01:03:29.100 align:middle line:90%
of that complex number.

01:03:29.100 --> 01:03:41.405 align:middle line:84%
So we haven't chosen
what alpha is yet.

01:03:41.405 --> 01:03:43.530 align:middle line:84%
I'll show you how to choose
alpha in just a minute.

01:03:43.530 --> 01:03:50.560 align:middle line:84%
Note that for all t in M
w of t, an absolute value,

01:03:50.560 --> 01:03:54.390 align:middle line:84%
which remember is defined to
be the real part of u of t--

01:03:54.390 --> 01:04:02.460 align:middle line:84%
this is less than or equal to
the absolute value of u of t.

01:04:02.460 --> 01:04:04.500 align:middle line:84%
I should say the
modulus of u of t.

01:04:04.500 --> 01:04:08.340 align:middle line:84%
The modulus of a complex
number is the square root

01:04:08.340 --> 01:04:10.710 align:middle line:84%
of the sum of the
real part squared

01:04:10.710 --> 01:04:12.160 align:middle line:90%
and the imaginary part squared.

01:04:12.160 --> 01:04:15.040 align:middle line:84%
So that's always less
than or equal to that.

01:04:15.040 --> 01:04:22.810 align:middle line:84%
And by assumption, this is less
than or equal to the norm of t.

01:04:22.810 --> 01:04:29.350 align:middle line:84%
Now, we're going to use the
fact that w is real valued.

01:04:29.350 --> 01:04:34.240 align:middle line:90%
Then w of t1 minus w of t2--

01:04:34.240 --> 01:04:37.990 align:middle line:84%
so let me say for
all t1, t2 in M--

01:04:37.990 --> 01:04:42.620 align:middle line:84%
if I look at w of t1 minus
w of t2, this is equal to--

01:04:42.620 --> 01:04:47.740 align:middle line:84%
and since u is linear and
taking the real part is linear,

01:04:47.740 --> 01:04:53.050 align:middle line:84%
this is equal to w
of t1 minus w of t2.

01:04:53.050 --> 01:04:55.730 align:middle line:84%
This is less than or equal
to its absolute value.

01:04:55.730 --> 01:04:58.255 align:middle line:84%
This is where I'm using the
fact that it's real value.

01:04:58.255 --> 01:05:03.690 align:middle line:90%


01:05:03.690 --> 01:05:07.320 align:middle line:84%
And as we've just shown that
this is always less than

01:05:07.320 --> 01:05:13.330 align:middle line:84%
or equal to the absolute
value, we have that.

01:05:13.330 --> 01:05:19.000 align:middle line:90%


01:05:19.000 --> 01:05:21.220 align:middle line:84%
And now, I'm going
to do one more thing

01:05:21.220 --> 01:05:22.480 align:middle line:90%
and add and subtract x.

01:05:22.480 --> 01:05:26.660 align:middle line:90%
So in the end, we want--

01:05:26.660 --> 01:05:29.150 align:middle line:90%
whoa, whoa, whoa.

01:05:29.150 --> 01:05:31.263 align:middle line:90%
This should have been x.

01:05:31.263 --> 01:05:32.180 align:middle line:90%
It should have been x.

01:05:32.180 --> 01:05:33.110 align:middle line:90%
Sorry, sorry, sorry.

01:05:33.110 --> 01:05:37.070 align:middle line:84%
I hope you fast
forwarded to this point

01:05:37.070 --> 01:05:41.360 align:middle line:84%
and saw that this should
have been x and x.

01:05:41.360 --> 01:05:46.950 align:middle line:84%
So in the end, we want to
somehow connect this to--

01:05:46.950 --> 01:05:48.720 align:middle line:90%
and I did it again here--

01:05:48.720 --> 01:05:51.540 align:middle line:90%
x, to the norm of t minus x.

01:05:51.540 --> 01:05:54.270 align:middle line:84%
So what I'm going to do is
add and subtract x and use

01:05:54.270 --> 01:05:55.620 align:middle line:90%
the triangle inequality.

01:05:55.620 --> 01:06:03.570 align:middle line:84%
And this is less than or equal
to t1 minus x plus t2 minus x.

01:06:03.570 --> 01:06:17.780 align:middle line:84%
And therefore, w of t1
minus the norm of t1 minus x

01:06:17.780 --> 01:06:27.560 align:middle line:84%
is less than or equal to w of t2
plus norm of t minus t2 minus x

01:06:27.560 --> 01:06:44.530 align:middle line:84%
for all t1 and t2 in M. So
this holds for all t1 and t2.

01:06:44.530 --> 01:06:52.850 align:middle line:84%
So I could fix t2 and take
the sup over all t1's,

01:06:52.850 --> 01:06:55.760 align:middle line:90%
which implies that sup of--

01:06:55.760 --> 01:07:06.030 align:middle line:90%


01:07:06.030 --> 01:07:09.015 align:middle line:84%
so let's not make that a
t1, I could just say t--

01:07:09.015 --> 01:07:13.330 align:middle line:90%


01:07:13.330 --> 01:07:18.880 align:middle line:84%
is always less than or equal
to w of t2 plus t2 minus x.

01:07:18.880 --> 01:07:22.660 align:middle line:90%
And this holds for all t2 in M.

01:07:22.660 --> 01:07:25.480 align:middle line:84%
So the fact that this
holds for all t1 tells you

01:07:25.480 --> 01:07:30.460 align:middle line:84%
this thing is an upper bound
of this for all t in M.

01:07:30.460 --> 01:07:31.990 align:middle line:84%
And therefore, its
supremum is less

01:07:31.990 --> 01:07:35.260 align:middle line:84%
than or equal to this
thing for all t2 in M.

01:07:35.260 --> 01:07:37.600 align:middle line:84%
And therefore, this
quantity on the left

01:07:37.600 --> 01:07:44.620 align:middle line:84%
is a lower bound for this thing
on the right for all t2 in M.

01:07:44.620 --> 01:07:49.270 align:middle line:84%
And therefore, we can
conclude that the sup of t

01:07:49.270 --> 01:07:56.500 align:middle line:84%
in M of w of t minus norm
of t minus x is less than

01:07:56.500 --> 01:08:07.970 align:middle line:84%
or equal to the inf over all
t in M w of t plus t minus x.

01:08:07.970 --> 01:08:14.570 align:middle line:90%


01:08:14.570 --> 01:08:16.050 align:middle line:90%
How do I choose alpha?

01:08:16.050 --> 01:08:19.414 align:middle line:84%
So I have these two numbers here
which are related in this way.

01:08:19.414 --> 01:08:22.939 align:middle line:90%


01:08:22.939 --> 01:08:30.640 align:middle line:84%
I choose alpha between these two
numbers-- between this number

01:08:30.640 --> 01:08:31.433 align:middle line:90%
and this number.

01:08:31.433 --> 01:08:33.100 align:middle line:84%
So there's a less
than or equal to sign,

01:08:33.100 --> 01:08:35.950 align:middle line:84%
so I can pick some
number in between them.

01:08:35.950 --> 01:08:37.390 align:middle line:84%
Maybe these two
things are equal,

01:08:37.390 --> 01:08:40.270 align:middle line:84%
and therefore, alpha is
equal to both of them.

01:08:40.270 --> 01:08:42.200 align:middle line:84%
Or I could just choose
alpha to be this one.

01:08:42.200 --> 01:08:42.950 align:middle line:90%
It doesn't matter.

01:08:42.950 --> 01:08:53.279 align:middle line:90%


01:08:53.279 --> 01:08:55.979 align:middle line:84%
And the proof is
just about completed.

01:08:55.979 --> 01:09:06.569 align:middle line:90%


01:09:06.569 --> 01:09:10.899 align:middle line:84%
Now, I'm going to show
that this alpha works.

01:09:10.899 --> 01:09:18.569 align:middle line:84%
So then for all
t in capital M, I

01:09:18.569 --> 01:09:26.040 align:middle line:84%
have w of t minus
norm of t minus x

01:09:26.040 --> 01:09:29.040 align:middle line:84%
is less than or equal
to alpha is less than

01:09:29.040 --> 01:09:37.770 align:middle line:84%
or equal to w of t
plus norm of t minus x.

01:09:37.770 --> 01:09:45.660 align:middle line:84%
And therefore, it's less than
or equal to alpha minus w of t

01:09:45.660 --> 01:09:47.630 align:middle line:84%
is less than or
equal to norm of t

01:09:47.630 --> 01:09:56.060 align:middle line:84%
minus x, which is the same
as alpha minus w of t,

01:09:56.060 --> 01:09:56.705 align:middle line:90%
I should say.

01:09:56.705 --> 01:10:07.530 align:middle line:90%


01:10:07.530 --> 01:10:10.890 align:middle line:84%
All right, so we showed
how to do it for--

01:10:10.890 --> 01:10:13.260 align:middle line:84%
we were able to choose an
alpha so that essentially,

01:10:13.260 --> 01:10:15.480 align:middle line:84%
this inequality holds
for the real part.

01:10:15.480 --> 01:10:18.890 align:middle line:84%
We can do that also
for the imaginary part.

01:10:18.890 --> 01:10:24.000 align:middle line:90%