WEBVTT

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[SQUEAKING][RUSTLING][CLICKING]

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CASEY RODRIGUEZ: So
today we're going

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to apply functional analysis
to a simple Dirichlet

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problem, i.e., an
Ordinary Differentiable

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Equation, on a line with
conditions at the boundary.

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Typically, when you encounter
ODEs for the first time,

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say, in your Ordinary
Differentiable Equations class,

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you always have an
equation you want to solve,

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and then you specify
maybe the function

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at a point and its
first derivative,

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if it's the second-order
derivative or just

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your second-order differentiable
equation or just the function

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evaluated at that point.

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But now this Dirichlet
problem, you're

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going to be specifying the
function at two endpoints.

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So what's the problem
we're going to look at--

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let V be a continuous
real value function.

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And we will consider--

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we'll call the
Dirichlet problem--

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minus u double prime
of x, plus V of x.

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u of x equals f of x.

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And with boundary
conditions, u of 0 equals 0.

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u of 1 equals 0.

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So what do we want
to do with this?

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So the question is given.

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So what's the input?

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You may think of f as
being kind of a force.

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So you're given a
force and you would

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like to compute the
solution or show

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there exists a solution
on the interval 0,

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1 satisfying the equation.

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And we'll say a
classical solution,

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meaning it's twice
continuously differentiable.

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So this equation makes
sense at every x.

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So given f continuous
function, does there

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exist a unique solution u of x.

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And in C2 0, 1, so the 2--

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C2 meaning two
continuous derivatives.

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C2 means two
continuous derivatives.

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So does there exist
a unique solution

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to the Dirichlet problem here?

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Does there exist a unique
solution to this ODE

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with these boundary
conditions at 0 and 1?

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And the purpose of this section
is to apply functional analysis

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that we've done to
say the answer is yes

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if V is non-negative.

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OK.

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If V is not necessarily
non-negative,

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then the answer is
it depends on f.

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All right, but given any f, does
there exists a unique solution

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to the Dirichlet problem?

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When V is non-negative,
the answer is yes.

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And this is what
we're going to prove.

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This is the main
goal of this section.

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And I'll state this
answer as two theorems.

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One thing that there
exists a unique solution.

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And the other will be--

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or I should say that a
solution to this is unique.

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And then the second part,
the more involved part,

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will be that there does
exist at least one solution

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to this problem, assuming
V is non-negative.

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So the first thing
we'll prove is

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that any solution to the
Dirichlet problem is unique.

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f is a continuous
function on 0, 1.

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u1, u2 are twice continuously
differentiable functions that

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satisfy the Dirichlet problem.

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I should say we are now
working under the assumption

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that V is non-negative.

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So I should also
put that in here--

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suppose V is non-negative.

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We won't always have to assume
V is non-negative in some

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of these theorems that we'll
prove about this problem

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or about certain operators.

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So it would be good
if I specify when

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I'm assuming V is non-negative.

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So suppose V is non-negative
and f is a continuous function

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and I have two solutions
to the Dirichlet problem,

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then they must be the same.

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Now the proof I think I've
given this as an assignment

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or as a problem in an
assignment in past classes,

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but when in doubt
integrate by parts.

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So by subtracting let
u be u 1 minus u 2.

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Then u is a twice continuously
differentiable function

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which satisfies u of x of V
of x, times u of x equal 0.

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And u of 0 equals
u of 1 equals 0.

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Now what we'd like to
conclude is that u is 0.

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And how we're going
to do this if we're

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going to integrate by parts.
so then multiply this equation

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by something and
integrate by parts.

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So we have 0 is equal
to the integral from 0

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to 1 of minus u
double prime of x,

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plus V of x, u of x times
the complex conjugate of u

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of x, dx.

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Now this is equal to
integral from 0 to 1,

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u prime of x times u of x,
plus integral from 0 to 1,

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V of x times cancelled
value of u of x squared.

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And now we integrate by part.

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So integration by
part says that if I

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have a derivative
on a function, I

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can move it to the
other function, and then

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plus boundary terms.

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And changing this,
minus sine to a cosine.

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So this is equal
to u prime of x--

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u bar of x evaluated at
0, 1, with this minus

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gives me a plus.

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And we go from 0 to 1.

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We find with x the derivative
of complex conjugate of u dx

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plus V of x, d of x squared, dx.

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Now we use the boundary
conditions that at 0 and at 1,

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u of x is 0.

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So its complex conjugate
is 0, so please go away.

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And what I'm left with
is integral from 0 to 1.

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And I'm not going to
keep writing the x part.

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So integral from 0 to 1 of u
prime squared, plus integral

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from 1 to 1, V times u prime--

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or times the magnitude
of u squared.

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Now since V is non-negative,
V times the absolute value

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of u squared is non-negative.

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So this is certainly bigger
than 0, 1, u prime squared.

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And remember, what I
started off with was 0.

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So I showed 0 is
bigger than or equal

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to this non-negative quantity.

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Now u is twice
continuously differentiable

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so that u prime, that's
a continuous function--

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non-negative
continuous function.

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So since this equals 0, I get
that u prime is identically

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0, which implies u is constant.

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And because u is constant
and u of 0 equals 0,

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I get that u is identically
0, the 0 function,

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which is what I wanted to show.

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u equals 0 means u1 equals u2.

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So that's uniqueness.

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That's half of what
we wanted to show,

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which was if V is
non-negative, then there exists

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a unique solution to the
Dirichlet problem given any f,

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any input to the
right-hand side.

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Now we're going to turn
to unique existence, which

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is more interesting
and harder parts.

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So now we're going
on to existence.

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So if you don't know
how to do something,

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try and do something easier.

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So let's start off with
the V equals 0 case.

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So we'll look at--

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so we have the
following theorem that

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says we can uniquely solve
the Dirichlet problem when

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equals 0.

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So that just means we
want to solve minus u

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double prime equals f of x
with these boundary conditions.

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And we can actually write
down explicitly the solution

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in terms of f as a compact
self-adjoint operator, which

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I've alluded to maybe
at a couple of points

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here in the class.

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So let K x, y be the function
given by minus 1 times y here

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if y is less than or equal to
x, is less than or equal to 1,

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and now switch.

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So it's piece-wise defined
across the diagonal.

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And it's continuous across
the diagonal when y equals x.

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I get the same thing.

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So this thing, in fact,
is a continuous function

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on 0, 1 cross 0, 1.

00:12:10.004 --> 00:12:14.170 align:middle line:90%


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We have this function here.

00:12:15.415 --> 00:12:22.620 align:middle line:90%


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Define an operator, A f of
x to be integral K of x, y,

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f of y, dy.

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And A is a bounded
linear operator on L2.

00:12:43.740 --> 00:12:51.620 align:middle line:90%


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And in fact, it's a
self-adjoint compact operator.

00:12:54.634 --> 00:13:05.520 align:middle line:90%


00:13:05.520 --> 00:13:07.070 align:middle line:90%
Self-adjoint operator.

00:13:07.070 --> 00:13:10.550 align:middle line:90%


00:13:10.550 --> 00:13:16.160 align:middle line:84%
And basically A times f is
the inverse of u double prime,

00:13:16.160 --> 00:13:18.770 align:middle line:84%
or A times f solves
the Dirichlet problem.

00:13:18.770 --> 00:13:23.020 align:middle line:90%


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f is C 0, 1.

00:13:27.500 --> 00:13:42.860 align:middle line:84%
And u equals Af is the peak
solution to the Dirichlet

00:13:42.860 --> 00:13:44.723 align:middle line:90%
problem when V equals 0.

00:13:44.723 --> 00:13:49.560 align:middle line:90%


00:13:49.560 --> 00:13:52.320 align:middle line:84%
I'm not writing out
all the argument of x,

00:13:52.320 --> 00:14:00.320 align:middle line:84%
but it should be understood u
of 0 equals u of 1 equals 0.

00:14:00.320 --> 00:14:03.170 align:middle line:84%
So when V equals 0, we can
write down the explicit solution

00:14:03.170 --> 00:14:06.230 align:middle line:84%
in terms of this, what's
called an integral operator

00:14:06.230 --> 00:14:08.300 align:middle line:84%
because you take a
function, multiply it

00:14:08.300 --> 00:14:10.970 align:middle line:84%
by another function,
and integrate.

00:14:10.970 --> 00:14:14.000 align:middle line:84%
This thing here is
usually referred to

00:14:14.000 --> 00:14:18.230 align:middle line:84%
as the Green's function for
this differentiable operator.

00:14:18.230 --> 00:14:20.510 align:middle line:84%
And what this theorem
says is that the solution

00:14:20.510 --> 00:14:24.620 align:middle line:84%
to your differentiable equation,
your Dirichlet problem,

00:14:24.620 --> 00:14:28.280 align:middle line:84%
is given by an integral
operator, which

00:14:28.280 --> 00:14:31.880 align:middle line:84%
is a compact self-adjoint
operator on L2.

00:14:31.880 --> 00:14:33.830 align:middle line:84%
So it shouldn't come
too much of a surprise

00:14:33.830 --> 00:14:38.360 align:middle line:84%
that the solution to
a Dirichlet problem u

00:14:38.360 --> 00:14:40.430 align:middle line:84%
can be written as an
integral operator,

00:14:40.430 --> 00:14:44.240 align:middle line:84%
right, because by the
fundamental theorem of calculus

00:14:44.240 --> 00:14:47.120 align:middle line:84%
integration and differentiation
are inverse of each other.

00:14:47.120 --> 00:15:02.960 align:middle line:90%


00:15:02.960 --> 00:15:14.520 align:middle line:84%
So let's C be the
sup over 0, 1 cross

00:15:14.520 --> 00:15:19.000 align:middle line:84%
0, 1 of the absolute value of
K. So I'm not writing x, y.

00:15:19.000 --> 00:15:23.260 align:middle line:84%
So this is the supremum
of K over the square of 0,

00:15:23.260 --> 00:15:27.160 align:middle line:84%
1 across 0, 1, which is
finite, since K is continuous.

00:15:27.160 --> 00:15:31.650 align:middle line:90%


00:15:31.650 --> 00:15:37.490 align:middle line:84%
And by the Cauchy-Schwarz
inequality we get that A times

00:15:37.490 --> 00:15:47.414 align:middle line:84%
f of x, A f of x, is equal to
the integral from 0, 1, K x, y,

00:15:47.414 --> 00:15:52.110 align:middle line:84%
f of y dy, is less than or
equal to-- now if I bring

00:15:52.110 --> 00:15:57.210 align:middle line:84%
the absolute value inside
and then bound K by C--

00:15:57.210 --> 00:15:58.710 align:middle line:90%
my name is Casey--

00:15:58.710 --> 00:16:05.610 align:middle line:84%
is bounded by C times the
integral from 0, 1 of f of y

00:16:05.610 --> 00:16:06.270 align:middle line:90%
dy.

00:16:06.270 --> 00:16:09.696 align:middle line:84%
And now I apply
Cauchy-Schwarz to this,

00:16:09.696 --> 00:16:12.720 align:middle line:84%
this I can think of as
this quantity times 1.

00:16:12.720 --> 00:16:23.660 align:middle line:84%
So this is less than or equal
to C times the integral 0, 1, 1

00:16:23.660 --> 00:16:26.160 align:middle line:90%
squared raised to the 1/2 power.

00:16:26.160 --> 00:16:31.160 align:middle line:84%
At certain points I will stop
writing of x dx, or of y dy.

00:16:31.160 --> 00:16:38.690 align:middle line:84%
And the meaning should be clear,
integral 0, 1 f squared 1/2.

00:16:38.690 --> 00:16:44.330 align:middle line:84%
And I get C times
the L2 norm of f.

00:16:44.330 --> 00:16:45.470 align:middle line:90%
So what have I done?

00:16:45.470 --> 00:16:49.300 align:middle line:84%
I've bounded for
every x in 0, 1,

00:16:49.300 --> 00:16:56.000 align:middle line:84%
A f of x, by a constant
times f and L2.

00:16:56.000 --> 00:17:10.730 align:middle line:84%
And I also have, if I look
A f of x minus A f of z,

00:17:10.730 --> 00:17:18.069 align:middle line:84%
so I can just again by
bringing the absolute value

00:17:18.069 --> 00:17:20.410 align:middle line:90%
inside the integral, bounded.

00:17:20.410 --> 00:17:22.510 align:middle line:84%
And so the difference
here is going

00:17:22.510 --> 00:17:27.740 align:middle line:84%
to be K of x, y minus K of x, z
times f of y and integrate it.

00:17:27.740 --> 00:17:32.860 align:middle line:84%
So what I get is that this is
less than or equal to sup y

00:17:32.860 --> 00:17:48.242 align:middle line:84%
in 0, 1, K of x, y minus K of
z, y times the L2 norm of f.

00:17:48.242 --> 00:17:50.450 align:middle line:84%
So I'm not going to give
all the details because I've

00:17:50.450 --> 00:17:52.730 align:middle line:84%
actually assigned
this problem before,

00:17:52.730 --> 00:17:55.580 align:middle line:84%
that if K is a
continuous function, then

00:17:55.580 --> 00:18:00.320 align:middle line:84%
this is a bounded
compact operator on L2.

00:18:00.320 --> 00:18:04.642 align:middle line:84%
So maybe you haven't done the
exercises yet, but in any case

00:18:04.642 --> 00:18:07.100 align:middle line:84%
I'll just sketch out from here
that just based on these two

00:18:07.100 --> 00:18:25.190 align:middle line:84%
estimates and the
Arzela-Ascoli theorem,

00:18:25.190 --> 00:18:28.480 align:middle line:84%
which gives you
sufficient conditions

00:18:28.480 --> 00:18:32.770 align:middle line:84%
that a sequence of
continuous functions

00:18:32.770 --> 00:18:35.260 align:middle line:84%
has a conversion
subsequence in the space

00:18:35.260 --> 00:18:43.050 align:middle line:84%
of continuous functions,
you can conclude that A

00:18:43.050 --> 00:18:49.100 align:middle line:90%
is the compact operator on L2.

00:18:49.100 --> 00:19:00.240 align:middle line:90%


00:19:00.240 --> 00:19:04.740 align:middle line:84%
Now so that shows is A
compact operator on L2.

00:19:04.740 --> 00:19:05.760 align:middle line:90%
Y is itself adjoint.

00:19:05.760 --> 00:19:08.620 align:middle line:90%


00:19:08.620 --> 00:19:15.070 align:middle line:84%
Let f, g be continuous
functions on 0, 1.

00:19:15.070 --> 00:19:19.600 align:middle line:84%
Then if I look at a
times f paired with g,

00:19:19.600 --> 00:19:22.510 align:middle line:84%
this is in the L2
pairing, this is

00:19:22.510 --> 00:19:29.930 align:middle line:84%
equal to integral of 0, 1,
integral of 0, 1, K of x, y,

00:19:29.930 --> 00:19:35.240 align:middle line:90%
f of y dy, V of x dx.

00:19:35.240 --> 00:19:37.760 align:middle line:90%


00:19:37.760 --> 00:19:40.820 align:middle line:84%
Now I have a double
integral involving nothing

00:19:40.820 --> 00:19:42.060 align:middle line:90%
but a continuous function.

00:19:42.060 --> 00:19:48.530 align:middle line:84%
So I can apply Fubini's theorem
to interchange the integration.

00:19:48.530 --> 00:19:55.010 align:middle line:84%
So this becomes 0,
1, integral 0, 1.

00:19:55.010 --> 00:19:57.920 align:middle line:84%
I can write it
this way-- f of y.

00:19:57.920 --> 00:19:59.510 align:middle line:84%
So I haven't done
anything yet, I'm

00:19:59.510 --> 00:20:05.885 align:middle line:84%
just distributing,
bringing this gx inside

00:20:05.885 --> 00:20:07.260 align:middle line:84%
and stating that
this integral is

00:20:07.260 --> 00:20:12.030 align:middle line:84%
equal to this double
integral, dy dx.

00:20:12.030 --> 00:20:16.020 align:middle line:84%
I guess I'm using
Fubini's theorem there.

00:20:16.020 --> 00:20:18.360 align:middle line:84%
And Fubini's theorem
says if you're

00:20:18.360 --> 00:20:23.040 align:middle line:84%
integrating continuous
functions over a box,

00:20:23.040 --> 00:20:30.390 align:middle line:84%
then it doesn't matter if you
integrate dy first or dx first.

00:20:30.390 --> 00:20:33.630 align:middle line:90%
So then I can just undo this.

00:20:33.630 --> 00:20:36.788 align:middle line:84%
And, oh, the pairing should
have a complex conjugate over g.

00:20:36.788 --> 00:20:41.120 align:middle line:90%


00:20:41.120 --> 00:20:47.150 align:middle line:84%
And so if I just integrate dx
first and kind of undo things,

00:20:47.150 --> 00:20:49.130 align:middle line:84%
I can write this as
the integral of f

00:20:49.130 --> 00:20:57.560 align:middle line:84%
of y times the integral from
0, 1 of K of x, y, g of x dx.

00:20:57.560 --> 00:21:00.605 align:middle line:84%
Now the complex
conjugate over K,

00:21:00.605 --> 00:21:06.500 align:middle line:84%
all of this complex
conjugate, dy.

00:21:06.500 --> 00:21:09.230 align:middle line:84%
Again, you can check that this
is equal to this previous thing

00:21:09.230 --> 00:21:12.350 align:middle line:84%
by Fubini, because then this
iterated integral becomes

00:21:12.350 --> 00:21:15.530 align:middle line:84%
just an integral dx dy,
which again by Fubini

00:21:15.530 --> 00:21:17.360 align:middle line:84%
doesn't matter
what the order is.

00:21:17.360 --> 00:21:20.030 align:middle line:84%
And the complex conjugate
hits this complex conjugate.

00:21:20.030 --> 00:21:23.090 align:middle line:84%
I get back K. This
complex conjugate gets g,

00:21:23.090 --> 00:21:24.170 align:middle line:90%
and I get that.

00:21:24.170 --> 00:21:27.320 align:middle line:90%


00:21:27.320 --> 00:21:31.630 align:middle line:84%
So this says that
Af paired with g

00:21:31.630 --> 00:21:47.590 align:middle line:84%
is equal to f paired with B
times g, where Bg of x now.

00:21:47.590 --> 00:21:52.330 align:middle line:84%
So I got out a function
of y integrating x.

00:21:52.330 --> 00:21:57.220 align:middle line:84%
So if I switch the
dummy variables,

00:21:57.220 --> 00:22:06.160 align:middle line:84%
I can write this as K y, x,
complex conjugate, dy dy.

00:22:06.160 --> 00:22:11.660 align:middle line:90%


00:22:11.660 --> 00:22:16.220 align:middle line:84%
But now the thing to note
is that K, what is K?

00:22:16.220 --> 00:22:19.530 align:middle line:90%
So K is this function here.

00:22:19.530 --> 00:22:21.630 align:middle line:90%
It's a real value function.

00:22:21.630 --> 00:22:26.270 align:middle line:84%
So the complex conjugate
just doesn't matter.

00:22:26.270 --> 00:22:27.090 align:middle line:90%
It's real value.

00:22:27.090 --> 00:22:29.600 align:middle line:84%
So the complex conjugate is
equal to the original function.

00:22:29.600 --> 00:22:31.520 align:middle line:90%
And it's symmetric in x and y.

00:22:31.520 --> 00:22:35.600 align:middle line:84%
If I switch x and y,
I get K x, y back.

00:22:35.600 --> 00:22:39.260 align:middle line:84%
So K of y, x is
equal to K of x, y.

00:22:39.260 --> 00:22:41.456 align:middle line:90%
So this is equal to 0, 1.

00:22:41.456 --> 00:22:46.340 align:middle line:90%
K of x, y, g of y dy.

00:22:46.340 --> 00:22:50.090 align:middle line:84%
But this is just by
definition equal to A times g.

00:22:50.090 --> 00:23:01.460 align:middle line:84%
So we've proven that Af, g
equals Af paired with Ag now

00:23:01.460 --> 00:23:08.210 align:middle line:84%
for all f, g, which are
continuous, which, remember,

00:23:08.210 --> 00:23:10.600 align:middle line:90%
is a subset of 0, 1.

00:23:10.600 --> 00:23:12.670 align:middle line:84%
But not just a subset,
it's a dense subset.

00:23:12.670 --> 00:23:18.020 align:middle line:90%


00:23:18.020 --> 00:23:28.760 align:middle line:84%
Since continuous functions
on 0, 1 are dense in L2,

00:23:28.760 --> 00:23:32.990 align:middle line:84%
and the density argument implies
that this relation has to hold

00:23:32.990 --> 00:23:34.940 align:middle line:90%
for every f and g in L2.

00:23:34.940 --> 00:23:38.456 align:middle line:90%


00:23:38.456 --> 00:23:47.690 align:middle line:84%
It's Af, g equals
f, Ag, not just

00:23:47.690 --> 00:23:52.350 align:middle line:84%
for all continuous functions,
but for all functions in L2.

00:23:52.350 --> 00:23:57.260 align:middle line:90%


00:23:57.260 --> 00:23:59.706 align:middle line:84%
That proves that
A is self-adjoint.

00:23:59.706 --> 00:24:11.430 align:middle line:90%


00:24:11.430 --> 00:24:13.140 align:middle line:84%
All right, and so
the last part, which

00:24:13.140 --> 00:24:16.830 align:middle line:84%
is verifying that in
fact defining u to be Af,

00:24:16.830 --> 00:24:19.260 align:middle line:84%
gives you a twice continuously
differentiable function

00:24:19.260 --> 00:24:22.650 align:middle line:84%
which satisfies the Dirichlet
problem when V equals 0.

00:24:22.650 --> 00:24:25.810 align:middle line:84%
It just follows from
direct computation.

00:24:25.810 --> 00:24:40.250 align:middle line:84%
So f is in 0, 1, then if I
define u of x to be Af of x,

00:24:40.250 --> 00:24:44.870 align:middle line:84%
and I actually write
out the integral

00:24:44.870 --> 00:24:51.180 align:middle line:84%
over the various domains
on how it's defined,

00:24:51.180 --> 00:24:57.837 align:middle line:84%
this is first I pick
up an integral 0

00:24:57.837 --> 00:25:09.600 align:middle line:84%
to x of x minus 1 times y,
f of y, dy, plus x times 0,

00:25:09.600 --> 00:25:15.980 align:middle line:90%
1 of y minus 1, dy.

00:25:15.980 --> 00:25:18.950 align:middle line:84%
And now I can just apply the
fundamental theorem of calculus

00:25:18.950 --> 00:25:29.510 align:middle line:84%
to show that indeed by
fundamental theorem of calculus

00:25:29.510 --> 00:25:33.020 align:middle line:84%
that u is twice
continuously differentiable.

00:25:33.020 --> 00:25:35.880 align:middle line:90%


00:25:35.880 --> 00:25:41.820 align:middle line:84%
And minus u double
prime gives me f.

00:25:41.820 --> 00:25:45.500 align:middle line:90%


00:25:45.500 --> 00:25:48.350 align:middle line:90%
And u is given by Af.

00:25:48.350 --> 00:25:50.300 align:middle line:84%
This is the unique
solution to that problem

00:25:50.300 --> 00:25:52.910 align:middle line:84%
because we've already proven
that when V is non-negative,

00:25:52.910 --> 00:25:56.070 align:middle line:84%
there exists only one solution
to the Dirichlet problem.

00:25:56.070 --> 00:26:02.570 align:middle line:84%
So in the case V equals
0, we can write down

00:26:02.570 --> 00:26:06.720 align:middle line:84%
the explicit solution in terms
of this integral operator,

00:26:06.720 --> 00:26:10.851 align:middle line:84%
which on L2 is the
self-adjoint contact operator.

00:26:10.851 --> 00:26:14.010 align:middle line:90%


00:26:14.010 --> 00:26:24.870 align:middle line:84%
All right, so to solve
the Dirichlet problem,

00:26:24.870 --> 00:26:39.105 align:middle line:84%
so now what's the plan
for V not equal to 0?

00:26:39.105 --> 00:26:42.890 align:middle line:90%


00:26:42.890 --> 00:26:45.780 align:middle line:90%
So the plan is this--

00:26:45.780 --> 00:26:53.580 align:middle line:84%
that if I have minus u
double prime plus V times u,

00:26:53.580 --> 00:26:58.050 align:middle line:84%
so this is just kind
of formal stuff,

00:26:58.050 --> 00:27:00.870 align:middle line:84%
and then we'll actually
prove rigorous statements

00:27:00.870 --> 00:27:03.780 align:middle line:84%
and prove that there exists
a solution in the end.

00:27:03.780 --> 00:27:07.580 align:middle line:84%
We already have
uniqueness, like I said.

00:27:07.580 --> 00:27:09.550 align:middle line:84%
How do we solve this
differentiable equation

00:27:09.550 --> 00:27:11.710 align:middle line:84%
with, again, the
boundary conditions which

00:27:11.710 --> 00:27:14.815 align:middle line:90%
I'm not going to write down?

00:27:14.815 --> 00:27:17.738 align:middle line:90%


00:27:17.738 --> 00:27:19.155 align:middle line:84%
So let me just
write it down here.

00:27:19.155 --> 00:27:22.240 align:middle line:90%


00:27:22.240 --> 00:27:27.510 align:middle line:84%
So that implies that minus u
double prime equals f minus Vu.

00:27:27.510 --> 00:27:36.160 align:middle line:90%
And so equals f plus minus Vu.

00:27:36.160 --> 00:27:39.400 align:middle line:84%
Now think of this as
just a fixed function g.

00:27:39.400 --> 00:27:47.730 align:middle line:84%
And therefore by this
existence and uniqueness result

00:27:47.730 --> 00:27:53.430 align:middle line:84%
that we have for the V equals
0 case, so think of this as g.

00:27:53.430 --> 00:27:56.190 align:middle line:84%
So now I have minus u
double prime equals g.

00:27:56.190 --> 00:28:17.250 align:middle line:84%
So this implies that u equals
A applied to f minus Vu.

00:28:17.250 --> 00:28:19.440 align:middle line:84%
So the unique solution
to minus u double prime

00:28:19.440 --> 00:28:21.600 align:middle line:90%
is equal to A applied to g.

00:28:21.600 --> 00:28:24.310 align:middle line:90%
g is f minus V, so I have this.

00:28:24.310 --> 00:28:37.830 align:middle line:84%
So I get-- by this if
and only if here, which,

00:28:37.830 --> 00:28:42.390 align:middle line:84%
if I distribute this through, is
the same as saying the identity

00:28:42.390 --> 00:28:47.040 align:middle line:84%
plus the operator given by A
applied to the multiplication

00:28:47.040 --> 00:28:51.480 align:middle line:84%
by V-- so when I write V here,
I mean multiplication by V--

00:28:51.480 --> 00:28:57.430 align:middle line:84%
applied to u equals
A applied to f.

00:28:57.430 --> 00:29:00.730 align:middle line:84%
And now this is good
because we've gotten rid

00:29:00.730 --> 00:29:03.070 align:middle line:90%
of this differentiation.

00:29:03.070 --> 00:29:07.870 align:middle line:84%
And now we're talking about
solving an equation that

00:29:07.870 --> 00:29:10.120 align:middle line:90%
involves bounded operators.

00:29:10.120 --> 00:29:12.610 align:middle line:84%
The identity is a
bounded operator.

00:29:12.610 --> 00:29:14.530 align:middle line:84%
Multiplication by a
continuous function

00:29:14.530 --> 00:29:16.450 align:middle line:90%
is a bounded operator on L2.

00:29:16.450 --> 00:29:20.290 align:middle line:84%
And A is a compact
self-adjoint operator on L2.

00:29:20.290 --> 00:29:25.480 align:middle line:84%
So now we're solving an equation
involving bounded operators

00:29:25.480 --> 00:29:28.720 align:middle line:90%
on the Hilbert space.

00:29:28.720 --> 00:29:32.590 align:middle line:84%
What would make it even
better is if this thing was--

00:29:32.590 --> 00:29:34.480 align:middle line:84%
so we already know
it's a compact operator

00:29:34.480 --> 00:29:36.190 align:middle line:90%
because A is compact.

00:29:36.190 --> 00:29:37.570 align:middle line:84%
If we knew this
was self-adjoint,

00:29:37.570 --> 00:29:39.290 align:middle line:84%
but that doesn't
necessarily hold because

00:29:39.290 --> 00:29:42.970 align:middle line:84%
of the adjoint of AV
will be V times A.

00:29:42.970 --> 00:29:45.320 align:middle line:90%
So these don't exactly commute.

00:29:45.320 --> 00:29:48.370 align:middle line:84%
But we can get around
that and reduce ourselves

00:29:48.370 --> 00:29:53.050 align:middle line:84%
to studying an
equation that involves

00:29:53.050 --> 00:29:56.800 align:middle line:84%
compact self-adjoint operators
by a nice little trick.

00:29:56.800 --> 00:30:08.895 align:middle line:90%
So write u as--

00:30:08.895 --> 00:30:11.820 align:middle line:90%


00:30:11.820 --> 00:30:16.470 align:middle line:84%
but I'll say A to the 1/2
V. A to the 1/2 meaning

00:30:16.470 --> 00:30:19.920 align:middle line:84%
its square gives me A. The
fact that such a thing exists

00:30:19.920 --> 00:30:24.300 align:middle line:84%
is not clear right now, but we
will show it, in fact, exists.

00:30:24.300 --> 00:30:25.410 align:middle line:90%
Again, formal stuff.

00:30:25.410 --> 00:30:30.600 align:middle line:84%
So write u as A to the 1/2
applied to V, where now V

00:30:30.600 --> 00:30:32.610 align:middle line:90%
is the thing we solve for.

00:30:32.610 --> 00:30:37.560 align:middle line:84%
And if we stick this
into this equation here,

00:30:37.560 --> 00:30:42.770 align:middle line:84%
we get A. We pull out an A to
the 1/2 applied to I plus A

00:30:42.770 --> 00:30:52.450 align:middle line:84%
to the 1/2 V, A to the
1/2, by to V equals Af.

00:30:52.450 --> 00:30:55.610 align:middle line:90%


00:30:55.610 --> 00:30:58.160 align:middle line:84%
So this should be little
v, not this capital V.

00:30:58.160 --> 00:31:03.650 align:middle line:84%
And therefore if I can believe
I can cancel 1/2 powers,

00:31:03.650 --> 00:31:06.815 align:middle line:84%
I've reduced myself
to study the equation

00:31:06.815 --> 00:31:12.120 align:middle line:84%
A to the 1/2 V
times A to the 1/2,

00:31:12.120 --> 00:31:16.410 align:middle line:84%
applied to little v
equals A to the 1/2 f.

00:31:16.410 --> 00:31:18.030 align:middle line:90%
Remember, f is given.

00:31:18.030 --> 00:31:21.510 align:middle line:84%
So whatever this thing
is on the right side,

00:31:21.510 --> 00:31:22.780 align:middle line:90%
we know that ahead of time.

00:31:22.780 --> 00:31:26.610 align:middle line:84%
So our problem is to
solve this equation here.

00:31:26.610 --> 00:31:30.360 align:middle line:90%
Now what's the great thing?

00:31:30.360 --> 00:31:33.120 align:middle line:84%
The great thing is
is that because A

00:31:33.120 --> 00:31:38.760 align:middle line:84%
is compact self-adjoint and in
fact a non-negative operator, A

00:31:38.760 --> 00:31:43.170 align:middle line:84%
to the 1/2 exists is
also a compact operator

00:31:43.170 --> 00:31:44.520 align:middle line:90%
and it's also self-adjoint.

00:31:44.520 --> 00:31:46.500 align:middle line:84%
So then we have this
self-adjoint operator

00:31:46.500 --> 00:31:49.480 align:middle line:84%
on both sides of V. Both
of them are compact.

00:31:49.480 --> 00:31:57.970 align:middle line:84%
So this whole thing will be a
compact self-adjoint operator.

00:31:57.970 --> 00:32:00.720 align:middle line:84%
So if we want to be able
to solve for V-- i.e.,

00:32:00.720 --> 00:32:02.760 align:middle line:84%
invert this thing
on the left side--

00:32:02.760 --> 00:32:06.367 align:middle line:84%
this is just a compact
self-adjoint operator

00:32:06.367 --> 00:32:07.950 align:middle line:84%
plus the identity,
which you can think

00:32:07.950 --> 00:32:13.170 align:middle line:84%
of as a compact self-adjoint
operator minus 1

00:32:13.170 --> 00:32:14.110 align:middle line:90%
times the identity.

00:32:14.110 --> 00:32:18.738 align:middle line:84%
So now that's an equation
we know how to solve.

00:32:18.738 --> 00:32:20.280 align:middle line:84%
We have the Fredholm
alternative that

00:32:20.280 --> 00:32:22.950 align:middle line:84%
says we can invert this
operator if and only

00:32:22.950 --> 00:32:28.440 align:middle line:84%
if this entire operator
doesn't have a null space

00:32:28.440 --> 00:32:30.570 align:middle line:84%
or doesn't have a
non-trivial null space.

00:32:30.570 --> 00:32:37.690 align:middle line:84%
So that's the plan is we will
reduce ourselves to studying--

00:32:37.690 --> 00:32:41.380 align:middle line:84%
or we will prove that we can
invert this operator here.

00:32:41.380 --> 00:32:44.320 align:middle line:84%
First, we have to
prove that we can

00:32:44.320 --> 00:32:48.460 align:middle line:84%
find such that A to the 1/2,
meaning an operator that's

00:32:48.460 --> 00:32:53.440 align:middle line:84%
square gives me A, prove the
properties we need, and then

00:32:53.440 --> 00:32:56.290 align:middle line:84%
also show that this
operator is convertible,

00:32:56.290 --> 00:33:03.810 align:middle line:84%
define V as inverse
of this times this,

00:33:03.810 --> 00:33:08.690 align:middle line:84%
u as A to the 1/2
times V, and conclude

00:33:08.690 --> 00:33:11.112 align:middle line:90%
that u solves our problem.

00:33:11.112 --> 00:33:12.320 align:middle line:90%
So that's where we're headed.

00:33:12.320 --> 00:33:22.820 align:middle line:84%
So now to get this
plan off the ground,

00:33:22.820 --> 00:33:26.350 align:middle line:84%
we need to show
that we can come up

00:33:26.350 --> 00:33:31.600 align:middle line:84%
with such a compact self-adjoint
operator whose square gives me

00:33:31.600 --> 00:33:39.860 align:middle line:84%
A. So as a first step
in this direction,

00:33:39.860 --> 00:33:46.200 align:middle line:84%
we are going to compute the
spectrum of the operator

00:33:46.200 --> 00:33:49.890 align:middle line:84%
A, which again is the inverse
of this Dirichlet problem.

00:33:49.890 --> 00:33:55.660 align:middle line:90%


00:33:55.660 --> 00:33:58.680 align:middle line:84%
So when f is continuous, it's
the unique twice continuously

00:33:58.680 --> 00:34:02.210 align:middle line:84%
differentiable function that's
second derivative gives me f

00:34:02.210 --> 00:34:03.460 align:middle line:90%
and 0 where at the end points.

00:34:03.460 --> 00:34:06.040 align:middle line:84%
But in general, it's
this integral operator.

00:34:06.040 --> 00:34:17.030 align:middle line:84%
So first thing I want to
prove is that null space of A

00:34:17.030 --> 00:34:20.584 align:middle line:84%
is the zero vector
or the zero function.

00:34:20.584 --> 00:34:27.659 align:middle line:90%


00:34:27.659 --> 00:34:30.620 align:middle line:84%
And so it has no
non-trivial null space.

00:34:30.620 --> 00:34:50.781 align:middle line:84%
And the orthonormal
eigenvectors for A

00:34:50.781 --> 00:35:06.740 align:middle line:84%
are given by uk of x equals
square root of 2, sine k

00:35:06.740 --> 00:35:08.440 align:middle line:90%
pi of x.

00:35:08.440 --> 00:35:18.730 align:middle line:84%
Here, k equals a natural number
With associated eigenvalues,

00:35:18.730 --> 00:35:23.680 align:middle line:84%
lambda k equals 1 over
k squared pi squared.

00:35:23.680 --> 00:35:32.430 align:middle line:90%


00:35:32.430 --> 00:35:36.450 align:middle line:84%
So let me just make
a brief remark.

00:35:36.450 --> 00:35:38.760 align:middle line:84%
We have via the spectral
theorem that we proved

00:35:38.760 --> 00:35:41.310 align:middle line:84%
last time that for a compact
self-adjoint operator

00:35:41.310 --> 00:35:51.400 align:middle line:84%
we can find or that
the eigenvectors form

00:35:51.400 --> 00:35:57.244 align:middle line:84%
an orthonormal basis for the
range of the null space of A.

00:35:57.244 --> 00:36:00.280 align:middle line:84%
And then to complete it to
an orthonormal basis of all

00:36:00.280 --> 00:36:02.860 align:middle line:84%
of the Hilbert space,
in this case L2,

00:36:02.860 --> 00:36:04.990 align:middle line:84%
we just need to take
an orthonormal basis

00:36:04.990 --> 00:36:06.340 align:middle line:90%
of the null space of A.

00:36:06.340 --> 00:36:08.950 align:middle line:84%
But the null space of
A is the zero vector.

00:36:08.950 --> 00:36:25.804 align:middle line:84%
So by the spectral theorem for
compact self-adjoint operators,

00:36:25.804 --> 00:36:31.680 align:middle line:84%
we get that square
root of 2 sine k pi

00:36:31.680 --> 00:36:35.260 align:middle line:90%
x, k to a point infinity.

00:36:35.260 --> 00:36:49.470 align:middle line:84%
So this is, orthonormal
basis for L2 0, 1.

00:36:49.470 --> 00:36:52.970 align:middle line:90%


00:36:52.970 --> 00:36:56.030 align:middle line:84%
So we use the spectral
theorem to conclude that this

00:36:56.030 --> 00:36:58.130 align:middle line:90%
is an orthonormal basis for L2.

00:36:58.130 --> 00:37:00.680 align:middle line:84%
You can also prove
it directly using

00:37:00.680 --> 00:37:03.970 align:middle line:84%
what we know about
E to the I in x

00:37:03.970 --> 00:37:09.630 align:middle line:84%
being an orthonormal
basis for minus pi to pi.

00:37:09.630 --> 00:37:11.970 align:middle line:84%
Just by rescaling
E to the I in pi

00:37:11.970 --> 00:37:15.690 align:middle line:84%
x is an orthonormal basis
for L2 to minus 1 to 1.

00:37:15.690 --> 00:37:17.280 align:middle line:84%
Now we have functions
here defined

00:37:17.280 --> 00:37:26.310 align:middle line:84%
on 0, 1, which we can extend
by odd parity to minus 1 to 1.

00:37:26.310 --> 00:37:29.760 align:middle line:84%
And the only parts of
the E to the I in pi

00:37:29.760 --> 00:37:35.910 align:middle line:84%
x that any expansion for an
odd function that come out only

00:37:35.910 --> 00:37:37.890 align:middle line:90%
involve the sine--

00:37:37.890 --> 00:37:39.700 align:middle line:90%
these guys.

00:37:39.700 --> 00:37:43.470 align:middle line:84%
So that's without knowing
these are the eigenfunctions

00:37:43.470 --> 00:37:46.230 align:middle line:84%
or eigenvectors for
this operator A,

00:37:46.230 --> 00:37:48.780 align:middle line:84%
you could also conclude that
this is an orthonormal basis

00:37:48.780 --> 00:37:50.070 align:middle line:90%
for L2 of 0, 1.

00:37:50.070 --> 00:37:53.820 align:middle line:90%


00:37:53.820 --> 00:38:02.350 align:middle line:84%
All right, so to
prove this theorem,

00:38:02.350 --> 00:38:06.340 align:middle line:84%
so what we're going to do is to
prove that the null space of A

00:38:06.340 --> 00:38:16.485 align:middle line:90%
is trivial is we will show--

00:38:16.485 --> 00:38:19.720 align:middle line:90%


00:38:19.720 --> 00:38:22.460 align:middle line:84%
so you can go about it a
couple of different ways.

00:38:22.460 --> 00:38:28.630 align:middle line:84%
We'll show that the range of
A is, in fact, dense in L2.

00:38:28.630 --> 00:38:34.950 align:middle line:90%


00:38:34.950 --> 00:38:38.020 align:middle line:84%
So first thing we're showing is
that the null space is trivial.

00:38:38.020 --> 00:38:53.710 align:middle line:84%
So we'll show that the range
of A closure equals all of L2.

00:38:53.710 --> 00:38:55.960 align:middle line:84%
Remember, this is equal to
the orthogonal complement

00:38:55.960 --> 00:38:56.810 align:middle line:90%
of the null space.

00:38:56.810 --> 00:39:00.040 align:middle line:84%
So if the orthogonal
complement is the entire space,

00:39:00.040 --> 00:39:05.060 align:middle line:84%
then that means the null space
of A is just a trivial vector.

00:39:05.060 --> 00:39:12.600 align:middle line:84%
So I need to be able to show
that a dense subspace of L2

00:39:12.600 --> 00:39:29.710 align:middle line:84%
can be solved for by A. So
let u be polynomial on 0, 1,

00:39:29.710 --> 00:39:32.750 align:middle line:84%
and f equals minus
u double prime.

00:39:32.750 --> 00:39:36.542 align:middle line:90%


00:39:36.542 --> 00:39:37.750 align:middle line:90%
Now by the previous theorem--

00:39:37.750 --> 00:39:42.150 align:middle line:90%


00:39:42.150 --> 00:39:42.930 align:middle line:90%
I should say--

00:39:42.930 --> 00:39:50.180 align:middle line:90%


00:39:50.180 --> 00:39:59.280 align:middle line:84%
[INAUDIBLE] apart-- with
u of 0 equals u of 1

00:39:59.280 --> 00:40:13.790 align:middle line:84%
equals 0 and f equals
minus u double prime.

00:40:13.790 --> 00:40:23.800 align:middle line:84%
Then by the previous
theorem, A applied

00:40:23.800 --> 00:40:39.110 align:middle line:84%
to f is the unique solution
to the Dirichlet problem

00:40:39.110 --> 00:40:41.285 align:middle line:90%
with that function V being 0.

00:40:41.285 --> 00:40:44.340 align:middle line:90%


00:40:44.340 --> 00:40:46.110 align:middle line:90%
But remember, u, so f--

00:40:46.110 --> 00:40:51.657 align:middle line:90%


00:40:51.657 --> 00:40:54.330 align:middle line:84%
write it this way--
i.e., f applied

00:40:54.330 --> 00:40:58.540 align:middle line:84%
to u double prime
should give me f.

00:40:58.540 --> 00:41:04.365 align:middle line:84%
And Af of 0 equals
Af of 1 equals 0.

00:41:04.365 --> 00:41:08.050 align:middle line:90%


00:41:08.050 --> 00:41:12.040 align:middle line:84%
But how do we
define f? f is minus

00:41:12.040 --> 00:41:14.890 align:middle line:84%
u double prime. u is
a polynomial on 0, 1.

00:41:14.890 --> 00:41:16.090 align:middle line:90%
That's 0 at the endpoints.

00:41:16.090 --> 00:41:19.090 align:middle line:84%
And therefore I conclude
that Af equals u.

00:41:19.090 --> 00:41:24.630 align:middle line:90%


00:41:24.630 --> 00:41:25.565 align:middle line:90%
I hope this is clear.

00:41:25.565 --> 00:41:28.630 align:middle line:90%


00:41:28.630 --> 00:41:40.960 align:middle line:84%
Now since a set of
polynomials on 0,

00:41:40.960 --> 00:41:55.670 align:middle line:84%
1 are vanishing at x equals
0 and 1 are dense in L2.

00:41:55.670 --> 00:41:56.770 align:middle line:90%
Now why is this?

00:41:56.770 --> 00:41:59.370 align:middle line:84%
This is because we know that
continuous functions that

00:41:59.370 --> 00:42:03.450 align:middle line:84%
are vanishing at the two
endpoints are dense in L2.

00:42:03.450 --> 00:42:09.180 align:middle line:84%
And by the Weierstrass
approximation theorem,

00:42:09.180 --> 00:42:10.920 align:middle line:84%
every continuous
function on 0, 1

00:42:10.920 --> 00:42:14.260 align:middle line:84%
can be approximated
by a polynomial.

00:42:14.260 --> 00:42:18.092 align:middle line:84%
And it's not too difficult
to convince yourself

00:42:18.092 --> 00:42:19.550 align:middle line:84%
that if that's the
case, then I can

00:42:19.550 --> 00:42:23.960 align:middle line:84%
also approximate every
continuous function

00:42:23.960 --> 00:42:25.850 align:middle line:84%
that's vanishing at
the two endpoints

00:42:25.850 --> 00:42:29.790 align:middle line:84%
by a polynomial that's
vanishing at the two endpoints.

00:42:29.790 --> 00:42:33.270 align:middle line:84%
So since I can approximate
every continuous function on 0,

00:42:33.270 --> 00:42:36.600 align:middle line:84%
1 vanishing at the endpoints
by a polynomial vanishing

00:42:36.600 --> 00:42:40.560 align:middle line:84%
at the endpoints,
then those polynomials

00:42:40.560 --> 00:42:43.740 align:middle line:84%
vanish at the endpoint
are dense in L2 of 0, 1.

00:42:43.740 --> 00:42:46.200 align:middle line:84%
So we'll just say
here that this follows

00:42:46.200 --> 00:42:53.665 align:middle line:84%
from, like I said,
density of 0, 1.

00:42:53.665 --> 00:42:58.600 align:middle line:84%
Now I'll put a 0 here, meaning
it's 0 at the two endpoints,

00:42:58.600 --> 00:43:09.150 align:middle line:84%
and Weierstrass
approximation theorem.

00:43:09.150 --> 00:43:13.350 align:middle line:84%
So we've been able to
solve for every u that's

00:43:13.350 --> 00:43:15.330 align:middle line:90%
dense in L2, right.

00:43:15.330 --> 00:43:18.840 align:middle line:84%
So every polynomial
that's 0 at the endpoints

00:43:18.840 --> 00:43:30.110 align:middle line:84%
is in the range of A.
And therefore, range of A

00:43:30.110 --> 00:43:38.990 align:middle line:84%
contains a dense
subset of L2 0, 1.

00:43:38.990 --> 00:43:52.870 align:middle line:84%
And therefore, the closure
has to be all of 0, 1.

00:43:52.870 --> 00:43:58.240 align:middle line:84%
And then since
null space of A is

00:43:58.240 --> 00:44:03.060 align:middle line:84%
equal to the
orthogonal complement--

00:44:03.060 --> 00:44:06.090 align:middle line:84%
or I should say the orthogonal
complement of the null space

00:44:06.090 --> 00:44:09.060 align:middle line:90%
of A is equal to the range--

00:44:09.060 --> 00:44:14.140 align:middle line:84%
the closure of the range,
and this equals L2 of 0, 1,

00:44:14.140 --> 00:44:21.730 align:middle line:84%
I conclude that the null space
is just the trivial vector.

00:44:21.730 --> 00:44:23.050 align:middle line:90%
So A has no null space.

00:44:23.050 --> 00:44:28.010 align:middle line:84%
So that by the spectrum
theorem and orthonormal

00:44:28.010 --> 00:44:32.090 align:middle line:84%
basis for L2 of 0, 1 is given
by the eigenvectors of A.

00:44:32.090 --> 00:44:34.460 align:middle line:84%
And so now we'll
prove the eigenvectors

00:44:34.460 --> 00:44:37.220 align:middle line:90%
are given by this form.

00:44:37.220 --> 00:44:42.150 align:middle line:84%
Now I'll just give you
a brief sketch of this.

00:44:42.150 --> 00:44:45.230 align:middle line:84%
So let's solve for the
eigenvalues and eigenvectors.

00:44:45.230 --> 00:44:53.470 align:middle line:84%
Suppose that lambda
does not equals 0,

00:44:53.470 --> 00:44:59.590 align:middle line:84%
u is an element of L2 that
has unit length or unit

00:44:59.590 --> 00:45:06.670 align:middle line:84%
norm, and A applied to
u equals lambda times u.

00:45:06.670 --> 00:45:15.717 align:middle line:84%
Now then-- let's see--
write that a minute ago.

00:45:15.717 --> 00:45:25.220 align:middle line:90%


00:45:25.220 --> 00:45:25.720 align:middle line:90%
OK.

00:45:25.720 --> 00:45:28.440 align:middle line:90%


00:45:28.440 --> 00:45:33.030 align:middle line:84%
Then u equals 1
over lambda times

00:45:33.030 --> 00:45:35.130 align:middle line:84%
Au, which is fine, because
lambda is non-zero,

00:45:35.130 --> 00:45:36.570 align:middle line:90%
so I can divide by that.

00:45:36.570 --> 00:45:40.585 align:middle line:84%
Now I didn't say this
when I was discussing--

00:45:40.585 --> 00:45:42.210 align:middle line:84%
let's see if we still
have it up there.

00:45:42.210 --> 00:45:45.120 align:middle line:90%


00:45:45.120 --> 00:45:47.723 align:middle line:90%
We do, so we can talk about it.

00:45:47.723 --> 00:45:51.110 align:middle line:90%


00:45:51.110 --> 00:45:57.470 align:middle line:84%
Now for any function in
L2, by this estimate here,

00:45:57.470 --> 00:46:01.680 align:middle line:84%
this also proves that A applied
to f is a continuous function.

00:46:01.680 --> 00:46:06.050 align:middle line:84%
So this also shows
that A applied

00:46:06.050 --> 00:46:10.580 align:middle line:84%
to f is, in fact, a
continuous function.

00:46:10.580 --> 00:46:13.700 align:middle line:90%


00:46:13.700 --> 00:46:15.160 align:middle line:90%
I hope that's clear.

00:46:15.160 --> 00:46:16.960 align:middle line:90%
Because why is this so?

00:46:16.960 --> 00:46:19.420 align:middle line:84%
I need to make this thing
on the left-hand side

00:46:19.420 --> 00:46:22.280 align:middle line:84%
small if x and z
are close together.

00:46:22.280 --> 00:46:25.420 align:middle line:84%
Now that only depends on
some number, the L2 norm

00:46:25.420 --> 00:46:27.640 align:middle line:90%
of f times this quantity here.

00:46:27.640 --> 00:46:33.610 align:middle line:84%
K is a continuous function
on 0, 1 cross 0, 1.

00:46:33.610 --> 00:46:38.050 align:middle line:84%
So as long as I make x and
z close, then x, y and z,

00:46:38.050 --> 00:46:39.580 align:middle line:90%
y will be close.

00:46:39.580 --> 00:46:42.595 align:middle line:84%
And since K is continuous, this
quantity here will be small.

00:46:42.595 --> 00:46:46.220 align:middle line:90%


00:46:46.220 --> 00:46:48.490 align:middle line:84%
And therefore, the thing
that's smaller than that

00:46:48.490 --> 00:46:50.830 align:middle line:90%
will be small.

00:46:50.830 --> 00:46:56.350 align:middle line:84%
So that's why if I take
a function which is in L2

00:46:56.350 --> 00:46:58.550 align:middle line:84%
and hit it by A, I get
a continuous function.

00:46:58.550 --> 00:47:03.910 align:middle line:84%
So u equals 1 over lambda
times this continuous function

00:47:03.910 --> 00:47:06.040 align:middle line:90%
implies that u is continuous.

00:47:06.040 --> 00:47:08.380 align:middle line:84%
But now we're going
to feed that back in.

00:47:08.380 --> 00:47:12.700 align:middle line:84%
Because if u is continuous,
then A applied to u

00:47:12.700 --> 00:47:17.950 align:middle line:84%
is twice continuously
differentiable,

00:47:17.950 --> 00:47:23.020 align:middle line:84%
which implies that u
equals 1 over lambda Au

00:47:23.020 --> 00:47:26.440 align:middle line:84%
is twice continuously
differentiable.

00:47:26.440 --> 00:47:31.270 align:middle line:84%
This is what's called a
bootstrap argument, I guess.

00:47:31.270 --> 00:47:32.550 align:middle line:90%
Is that the right word?

00:47:32.550 --> 00:47:35.910 align:middle line:90%


00:47:35.910 --> 00:47:40.350 align:middle line:84%
Anyways, that
doesn't sound right.

00:47:40.350 --> 00:47:43.350 align:middle line:90%


00:47:43.350 --> 00:47:57.110 align:middle line:84%
In any case, so we conclude
that a eigenfunction of A

00:47:57.110 --> 00:48:00.580 align:middle line:84%
is twice continuously
differentiable, right.

00:48:00.580 --> 00:48:07.910 align:middle line:84%
So now u is a twice continuously
differentiable function,

00:48:07.910 --> 00:48:10.370 align:middle line:84%
which is equal to 1
over lambda times Au.

00:48:10.370 --> 00:48:17.630 align:middle line:90%


00:48:17.630 --> 00:48:21.890 align:middle line:84%
So another way to
write this as A

00:48:21.890 --> 00:48:28.390 align:middle line:84%
applied into u over lambda,
because A is a linear operator.

00:48:28.390 --> 00:48:31.770 align:middle line:84%
Now A applied to something
is a unique function

00:48:31.770 --> 00:48:34.140 align:middle line:84%
whose second derivatives
times minus 1

00:48:34.140 --> 00:48:35.610 align:middle line:90%
gives me that thing inside.

00:48:35.610 --> 00:48:41.190 align:middle line:84%
So I conclude that minus
u double prime equals 1

00:48:41.190 --> 00:48:43.590 align:middle line:90%
over lambda applied to u.

00:48:43.590 --> 00:48:48.060 align:middle line:84%
And along with the
boundary conditions, u of 0

00:48:48.060 --> 00:48:50.250 align:middle line:90%
equals u of 1 equals 0.

00:48:50.250 --> 00:48:56.080 align:middle line:90%


00:48:56.080 --> 00:48:59.065 align:middle line:84%
But now I know how to
solve this equation.

00:48:59.065 --> 00:49:05.070 align:middle line:90%


00:49:05.070 --> 00:49:11.420 align:middle line:84%
It has to be a superposition
of two functions.

00:49:11.420 --> 00:49:12.110 align:middle line:90%
And I get that.

00:49:12.110 --> 00:49:17.300 align:middle line:84%
So u of x must be equal
to A times sine, 1

00:49:17.300 --> 00:49:21.110 align:middle line:84%
over square root
of lambda times x,

00:49:21.110 --> 00:49:26.270 align:middle line:84%
plus B times the cosine 1 over
square root of lambda times x.

00:49:26.270 --> 00:49:35.660 align:middle line:84%
And now since u of
0 has to give me 0,

00:49:35.660 --> 00:49:40.790 align:middle line:84%
that tells me that B
equals 0, which tells me

00:49:40.790 --> 00:49:47.060 align:middle line:84%
u of x equals A times
sine 1 over lambda x,

00:49:47.060 --> 00:49:53.448 align:middle line:84%
and since u has unit length
with A not equal to 0.

00:49:53.448 --> 00:49:57.670 align:middle line:84%
And now u of 1 equals
0 implies that 1

00:49:57.670 --> 00:50:02.920 align:middle line:84%
over square root
of lambda has to be

00:50:02.920 --> 00:50:06.550 align:middle line:90%
an integer multiple of pi.

00:50:06.550 --> 00:50:09.560 align:middle line:90%


00:50:09.560 --> 00:50:12.500 align:middle line:90%
If u of x is to be non-zero.

00:50:12.500 --> 00:50:18.890 align:middle line:84%
And therefore, u of x is
equal to A times sine k

00:50:18.890 --> 00:50:20.780 align:middle line:90%
pi x for some k.

00:50:20.780 --> 00:50:26.450 align:middle line:84%
And the fact that we
get square root of 2

00:50:26.450 --> 00:50:28.400 align:middle line:84%
comes from the
normalization condition.

00:50:28.400 --> 00:50:33.200 align:middle line:90%


00:50:33.200 --> 00:50:38.432 align:middle line:84%
Implies that u of x equals
square root of 2 sine k

00:50:38.432 --> 00:50:41.780 align:middle line:90%
pi x for some k natural number.

00:50:41.780 --> 00:50:54.830 align:middle line:90%


00:50:54.830 --> 00:50:57.770 align:middle line:84%
So square root of
2 times sine k pi

00:50:57.770 --> 00:51:01.040 align:middle line:84%
x as k varies over
the natural numbers

00:51:01.040 --> 00:51:06.450 align:middle line:84%
gives me an orthonormal
basis for L2

00:51:06.450 --> 00:51:09.720 align:middle line:84%
that consists of
eigenvectors of A.

00:51:09.720 --> 00:51:19.570 align:middle line:84%
The eigenvalues are 1
over k squared pi squared.

00:51:19.570 --> 00:51:23.520 align:middle line:84%
So I can think of A as simply
multiplying each eigenvector

00:51:23.520 --> 00:51:25.390 align:middle line:90%
by 1 over k squared pi squared.

00:51:25.390 --> 00:51:27.450 align:middle line:84%
And if I want to define
A to the 1/2, which

00:51:27.450 --> 00:51:31.590 align:middle line:84%
is why I'm doing
all this, then we'll

00:51:31.590 --> 00:51:36.150 align:middle line:84%
define an operator so
that it takes something

00:51:36.150 --> 00:51:41.100 align:middle line:84%
in this orthonormal basis
and simply multiply this by 1

00:51:41.100 --> 00:51:45.600 align:middle line:84%
over k pi, which is
half of what A would do,

00:51:45.600 --> 00:51:47.820 align:middle line:84%
or half power of
what A would do.

00:51:47.820 --> 00:51:50.808 align:middle line:84%
This is also how
one could define

00:51:50.808 --> 00:51:52.350 align:middle line:84%
what's called the
functional calculus

00:51:52.350 --> 00:51:57.510 align:middle line:84%
for self-adjoint compact
operators, which you can then

00:51:57.510 --> 00:52:00.280 align:middle line:84%
extend to self-adjoint
operators as well.

00:52:00.280 --> 00:52:02.520 align:middle line:90%
So let's make this a definition.

00:52:02.520 --> 00:52:07.440 align:middle line:90%


00:52:07.440 --> 00:52:23.430 align:middle line:84%
So if f is in L2 0, 1 with f
given by this Fourier expansion

00:52:23.430 --> 00:52:29.820 align:middle line:84%
with ck given by
interval 0 to 1,

00:52:29.820 --> 00:52:33.390 align:middle line:84%
f of x square root
of 2, sine k pi

00:52:33.390 --> 00:52:47.440 align:middle line:84%
x dx, and we define an operator
which we call A to the 1/2,

00:52:47.440 --> 00:52:52.660 align:middle line:84%
although I'm not saying that
its square is A just yet.

00:52:52.660 --> 00:53:02.875 align:middle line:84%
We define linear operator A
by A f of x equals sum from k

00:53:02.875 --> 00:53:11.110 align:middle line:84%
equals 1 to infinity of 1
over k pi ck square root of 2,

00:53:11.110 --> 00:53:13.030 align:middle line:90%
sine k pi x.

00:53:13.030 --> 00:53:15.670 align:middle line:90%


00:53:15.670 --> 00:53:16.170 align:middle line:90%
1/2.

00:53:16.170 --> 00:53:23.380 align:middle line:90%


00:53:23.380 --> 00:53:27.160 align:middle line:84%
So right now I just
have this expression for

00:53:27.160 --> 00:53:31.450 align:middle line:84%
given a function in L2 with
this expansion in terms

00:53:31.450 --> 00:53:33.550 align:middle line:90%
of this orthonormal basis.

00:53:33.550 --> 00:53:36.160 align:middle line:84%
I do this to the coefficients,
I take the coefficients

00:53:36.160 --> 00:53:40.360 align:middle line:84%
and multiply them
by 1 over k pi.

00:53:40.360 --> 00:53:48.970 align:middle line:84%
And my claim is
that A to the 1/2

00:53:48.970 --> 00:54:00.230 align:middle line:84%
is a compact self-adjoint
operator on L2.

00:54:00.230 --> 00:54:06.000 align:middle line:90%


00:54:06.000 --> 00:54:08.760 align:middle line:84%
And this notation is
not just for show.

00:54:08.760 --> 00:54:11.440 align:middle line:84%
I take A to the 1/2 and
compose it with itself,

00:54:11.440 --> 00:54:12.720 align:middle line:90%
meaning I square it.

00:54:12.720 --> 00:54:15.240 align:middle line:84%
I get the operator
A, which remember

00:54:15.240 --> 00:54:25.690 align:middle line:84%
was defined as this integral
operator involving k, right.

00:54:25.690 --> 00:54:32.520 align:middle line:84%
If you like, though, so
let me just [INAUDIBLE]..

00:54:32.520 --> 00:54:37.830 align:middle line:84%
Remember A, when it hits each of
these sine k pi x's, spits out

00:54:37.830 --> 00:54:40.110 align:middle line:84%
1 over k squared
times pi squared.

00:54:40.110 --> 00:54:45.240 align:middle line:84%
So A applied to f would be this
thing multiplied by 1 over k

00:54:45.240 --> 00:54:46.450 align:middle line:90%
squared pi squared.

00:54:46.450 --> 00:54:48.300 align:middle line:84%
And so it makes sense
that A to the 1/2

00:54:48.300 --> 00:54:51.720 align:middle line:84%
should be something that when
I apply it again I get back A,

00:54:51.720 --> 00:54:57.708 align:middle line:84%
since I have 1 over k squared
pi squared when I hit the A,

00:54:57.708 --> 00:55:00.420 align:middle line:84%
I multiply the coefficients
by 1 over k pi,

00:55:00.420 --> 00:55:02.280 align:middle line:84%
then this should
give me what I want.

00:55:02.280 --> 00:55:08.310 align:middle line:84%
And now it's just the process
of confirming these facts

00:55:08.310 --> 00:55:11.400 align:middle line:90%
that we need.

00:55:11.400 --> 00:55:14.670 align:middle line:84%
But you may think of A as
this integral operator.

00:55:14.670 --> 00:55:19.110 align:middle line:84%
You can think of A as a solution
operator for this Dirichlet

00:55:19.110 --> 00:55:20.010 align:middle line:90%
problem.

00:55:20.010 --> 00:55:26.700 align:middle line:84%
Or you may simply think of it
as, I take a function f, expand

00:55:26.700 --> 00:55:31.440 align:middle line:84%
it in terms of sine k pi x in
orthonormal basis for L2 of 0,

00:55:31.440 --> 00:55:40.130 align:middle line:84%
1, and I simply multiply by
1 over k squared pi squared.

00:55:40.130 --> 00:55:46.610 align:middle line:84%
How does this jive with what
I just said about A also

00:55:46.610 --> 00:55:47.840 align:middle line:90%
being the solution operator?

00:55:47.840 --> 00:55:51.170 align:middle line:84%
Well, if I have A
applied to this quantity,

00:55:51.170 --> 00:55:54.720 align:middle line:84%
then I have sine k pi x
over k squared pi squared.

00:55:54.720 --> 00:55:56.840 align:middle line:84%
Now let's say I take
two derivatives of that,

00:55:56.840 --> 00:55:59.180 align:middle line:84%
then I get k squared
pi squared over k

00:55:59.180 --> 00:56:00.710 align:middle line:90%
squared pi squared, I get 1.

00:56:00.710 --> 00:56:03.990 align:middle line:84%
So I get back out f
for the minus sine.

00:56:03.990 --> 00:56:05.465 align:middle line:90%
So all of those things jive.

00:56:05.465 --> 00:56:08.480 align:middle line:90%


00:56:08.480 --> 00:56:10.520 align:middle line:84%
All right, so proof
of this theorem.

00:56:10.520 --> 00:56:14.894 align:middle line:90%


00:56:14.894 --> 00:56:23.795 align:middle line:84%
You write, say, two functions
in L2 expanded in this basis.

00:56:23.795 --> 00:56:41.380 align:middle line:90%


00:56:41.380 --> 00:56:43.980 align:middle line:84%
And so first thing
I would like to show

00:56:43.980 --> 00:56:49.150 align:middle line:84%
is that this operator is
bounded, linear operator.

00:56:49.150 --> 00:56:56.050 align:middle line:84%
So I want the L2 norm of
fA to the 1/2 f squared.

00:56:56.050 --> 00:57:03.390 align:middle line:84%
So this is the L2 norm
squared of the function

00:57:03.390 --> 00:57:13.830 align:middle line:84%
with coefficients given by
k pi square root of 2 times

00:57:13.830 --> 00:57:18.230 align:middle line:90%
k pi x, all squared.

00:57:18.230 --> 00:57:25.660 align:middle line:84%
And now, so the L2 norm of this
function given by this Fourier

00:57:25.660 --> 00:57:27.580 align:middle line:84%
expansion here is just
the sum of the squares

00:57:27.580 --> 00:57:30.850 align:middle line:84%
of the coefficients appearing
in front of the square root of 2

00:57:30.850 --> 00:57:32.740 align:middle line:90%
times sine k pi x.

00:57:32.740 --> 00:57:37.300 align:middle line:84%
So this is equal to, by
Parseval's identity equals

00:57:37.300 --> 00:57:42.610 align:middle line:84%
ck squared over k
squared pi squared.

00:57:42.610 --> 00:57:47.680 align:middle line:84%
And 1 over k squared pi squared
as k goes from 1 to infinity

00:57:47.680 --> 00:57:52.690 align:middle line:84%
is bounded by 1 over
pi squared equals 1

00:57:52.690 --> 00:57:56.140 align:middle line:84%
to infinity of ck
squared equals 1

00:57:56.140 --> 00:58:02.400 align:middle line:84%
over pi squared, again,
by Parseval's identity,

00:58:02.400 --> 00:58:08.070 align:middle line:84%
or a completeness
of this eigenbasis

00:58:08.070 --> 00:58:12.130 align:middle line:84%
that gives me back
the L2 norm of that.

00:58:12.130 --> 00:58:13.780 align:middle line:90%
So that proves boundedness.

00:58:13.780 --> 00:58:18.370 align:middle line:90%
What about self-adjointness?

00:58:18.370 --> 00:58:23.500 align:middle line:84%
A to the 1/2 f, but in take
its inner product with g,

00:58:23.500 --> 00:58:28.300 align:middle line:84%
again using how these
things are defined

00:58:28.300 --> 00:58:32.410 align:middle line:84%
and the fact that the inner
product between two functions

00:58:32.410 --> 00:58:35.800 align:middle line:84%
is given by just the little
L2 pairing of the coefficients

00:58:35.800 --> 00:58:40.660 align:middle line:84%
that appear in front of the
square root of 2 sine k pi x.

00:58:40.660 --> 00:58:48.800 align:middle line:90%
This is ck over k times pi, dk.

00:58:48.800 --> 00:58:51.985 align:middle line:84%
And now we just
move this over here.

00:58:51.985 --> 00:58:55.100 align:middle line:90%


00:58:55.100 --> 00:59:03.020 align:middle line:84%
And these are real numbers, so
I can move them over on the d

00:59:03.020 --> 00:59:04.910 align:middle line:84%
without taking their
complex conjugate.

00:59:04.910 --> 00:59:11.270 align:middle line:84%
And that's just equal to f
inner product A to the 1/2 g.

00:59:11.270 --> 00:59:15.203 align:middle line:84%
So that proves that
A is self-adjoint.

00:59:15.203 --> 00:59:21.490 align:middle line:90%


00:59:21.490 --> 00:59:30.520 align:middle line:84%
And now finally, we show that
A to the 1/2 squared gives me

00:59:30.520 --> 00:59:43.040 align:middle line:90%
A. So let f be--

00:59:43.040 --> 00:59:45.260 align:middle line:90%
OK, so I rewrote that part.

00:59:45.260 --> 00:59:46.610 align:middle line:90%
I don't need to write it again.

00:59:46.610 --> 00:59:55.610 align:middle line:84%
If I look at A to the 1/2
f, this is by definition

00:59:55.610 --> 01:00:00.350 align:middle line:84%
equal to A to the 1/2
applied to now the function

01:00:00.350 --> 01:00:03.470 align:middle line:84%
given in this eigenbasis
or this orthonormal basis

01:00:03.470 --> 01:00:11.880 align:middle line:84%
by ck over k pi square
root of 2 sine k pi x.

01:00:11.880 --> 01:00:14.640 align:middle line:84%
Again, how do I
apply A to the 1/2?

01:00:14.640 --> 01:00:18.450 align:middle line:84%
I take the coefficients
in front of the basis

01:00:18.450 --> 01:00:20.720 align:middle line:90%
function and divide by k pi.

01:00:20.720 --> 01:00:26.340 align:middle line:84%
So then I get k equals 1
to infinity of ck over k

01:00:26.340 --> 01:00:34.665 align:middle line:84%
squared pi squared, square
root of 2 sine k pi x.

01:00:34.665 --> 01:00:39.070 align:middle line:90%


01:00:39.070 --> 01:00:41.200 align:middle line:90%
Let's leave it here.

01:00:41.200 --> 01:00:44.890 align:middle line:84%
Now going from here to what we
have next, since each of these

01:00:44.890 --> 01:00:53.110 align:middle line:84%
is an eigenfunction of A
with eigenvalue 1 over k

01:00:53.110 --> 01:00:55.120 align:middle line:84%
squared pi squared,
this is also equal

01:00:55.120 --> 01:01:03.160 align:middle line:84%
to A applied to the square
root of 2 sine k pi x.

01:01:03.160 --> 01:01:06.880 align:middle line:84%
And now it's
perfectly legitimate

01:01:06.880 --> 01:01:14.600 align:middle line:84%
to pull this A out
of the infinite sum,

01:01:14.600 --> 01:01:27.400 align:middle line:84%
because this is a basis for
L2, or really by [INAUDIBLE]..

01:01:27.400 --> 01:01:37.490 align:middle line:84%
In any case, I can pull the A
out and I get square root of 2,

01:01:37.490 --> 01:01:39.800 align:middle line:90%
sine k pi x.

01:01:39.800 --> 01:01:51.610 align:middle line:90%


01:01:51.610 --> 01:01:52.420 align:middle line:90%
Why can I do this?

01:01:52.420 --> 01:01:58.300 align:middle line:84%
It's because so if I put a
finite in here, then sum from k

01:01:58.300 --> 01:02:03.490 align:middle line:84%
equals 1 to n converges in
L2 norm to this quantity

01:02:03.490 --> 01:02:06.380 align:middle line:90%
here with an infinity.

01:02:06.380 --> 01:02:12.400 align:middle line:84%
So since A is a bounded
linear operator,

01:02:12.400 --> 01:02:15.520 align:middle line:84%
the limit as n goes to infinity
of A applied to the finite sum

01:02:15.520 --> 01:02:17.500 align:middle line:84%
is equal to A applied
to the infinite sum.

01:02:17.500 --> 01:02:20.620 align:middle line:84%
Now A applied to a finite
sum is given by this,

01:02:20.620 --> 01:02:21.985 align:middle line:90%
letting n go to infinity again.

01:02:21.985 --> 01:02:24.510 align:middle line:90%


01:02:24.510 --> 01:02:27.380 align:middle line:84%
This we can take
the A in and out.

01:02:27.380 --> 01:02:33.860 align:middle line:90%


01:02:33.860 --> 01:02:36.160 align:middle line:84%
But this was just
the expansion of f.

01:02:36.160 --> 01:02:37.540 align:middle line:90%
So this is equal to Af.

01:02:37.540 --> 01:02:40.450 align:middle line:84%
So we have proven
that A to the 1/2

01:02:40.450 --> 01:02:44.440 align:middle line:84%
squared, meaning A to the 1/2
applied to A to the 1/2 of f

01:02:44.440 --> 01:02:45.490 align:middle line:90%
gives me back Af.

01:02:45.490 --> 01:02:51.110 align:middle line:90%


01:02:51.110 --> 01:02:53.390 align:middle line:84%
Now let me give a
brief sketch on why

01:02:53.390 --> 01:02:54.640 align:middle line:90%
this is a compact operator.

01:02:54.640 --> 01:02:57.260 align:middle line:84%
We've shown it's a bounded
self-adjoint operator whose

01:02:57.260 --> 01:03:16.830 align:middle line:84%
square gives me A. So A
is a compact operator.

01:03:16.830 --> 01:03:26.090 align:middle line:84%
We'll show that the image of the
unit ball has equi-small tails.

01:03:26.090 --> 01:03:37.080 align:middle line:84%
I want to say here is suffices
to show that, say, A applied

01:03:37.080 --> 01:03:50.205 align:middle line:90%
to f has equi-small tails.

01:03:50.205 --> 01:03:51.830 align:middle line:84%
The fact that this
has equi-small tails

01:03:51.830 --> 01:03:54.320 align:middle line:84%
then implies that the closure
also has equi-small tails.

01:03:54.320 --> 01:03:55.970 align:middle line:84%
And therefore by this
theorem we proved

01:03:55.970 --> 01:04:01.040 align:middle line:84%
about characterizing compact
subsets of Hilbert spaces,

01:04:01.040 --> 01:04:06.150 align:middle line:84%
we conclude that the closure
of this set is compact--

01:04:06.150 --> 01:04:11.620 align:middle line:90%
I should have 1/2, 1/2--

01:04:11.620 --> 01:04:15.700 align:middle line:84%
and therefore A to the
1/2 is a compact operator.

01:04:15.700 --> 01:04:32.090 align:middle line:84%
So let epsilon be positive,
and choose N as a number

01:04:32.090 --> 01:04:37.250 align:middle line:84%
so that 1 over N squared is
less than epsilon squared.

01:04:37.250 --> 01:04:39.560 align:middle line:84%
We can do that because
1 over capital N squared

01:04:39.560 --> 01:04:41.760 align:middle line:84%
goes to 0 as capital
N goes to infinity.

01:04:41.760 --> 01:04:45.050 align:middle line:90%
So I can always find such an N.

01:04:45.050 --> 01:04:47.150 align:middle line:84%
And now we claim that
this N is the one that

01:04:47.150 --> 01:04:52.480 align:middle line:84%
works for showing this
set has equi-small tails.

01:04:52.480 --> 01:05:01.950 align:middle line:84%
Let f be in L2 with norm
less than or equal to 1.

01:05:01.950 --> 01:05:04.620 align:middle line:90%


01:05:04.620 --> 01:05:10.770 align:middle line:84%
And again, if I look at the
sum of the Fourier coefficients

01:05:10.770 --> 01:05:16.080 align:middle line:84%
given in this basis of square
root 2 sine k pi x of A

01:05:16.080 --> 01:05:30.680 align:middle line:84%
to the 1/2 f, this is
equal to, by definition

01:05:30.680 --> 01:05:39.780 align:middle line:84%
of how A operates, this is
equal to simply the coefficient

01:05:39.780 --> 01:05:45.880 align:middle line:84%
of f squared over k
squared pi squared.

01:05:45.880 --> 01:05:48.490 align:middle line:84%
And this is less
than or equal to--

01:05:48.490 --> 01:05:52.990 align:middle line:84%
k is bigger than N, so this
is less than or equal to 1

01:05:52.990 --> 01:05:55.280 align:middle line:84%
over n squared
with a pi squared.

01:05:55.280 --> 01:05:57.820 align:middle line:90%
But that's something like 9.

01:05:57.820 --> 01:06:00.280 align:middle line:84%
So I can leave it and
still be less than

01:06:00.280 --> 01:06:04.450 align:middle line:90%
or equal to, sum, sum, k.

01:06:04.450 --> 01:06:10.810 align:middle line:84%
I can now take this
to be all ck's.

01:06:10.810 --> 01:06:17.000 align:middle line:84%
And this is equal to 1
over N squared, 2 squared,

01:06:17.000 --> 01:06:20.030 align:middle line:84%
which is less than or
equal to 1 over N squared.

01:06:20.030 --> 01:06:22.240 align:middle line:84%
And then we chose an N
so that 1 over N squared

01:06:22.240 --> 01:06:24.470 align:middle line:90%
is less than epsilon squared.

01:06:24.470 --> 01:06:27.740 align:middle line:84%
So that's less than
epsilon squared,

01:06:27.740 --> 01:06:32.450 align:middle line:84%
therefore showing that the
set has equi-small tails.

01:06:32.450 --> 01:06:38.600 align:middle line:84%
And therefore the closure
of this set is compact.

01:06:38.600 --> 01:06:51.080 align:middle line:90%


01:06:51.080 --> 01:06:54.030 align:middle line:84%
So we had this A to
the 1/2 operator,

01:06:54.030 --> 01:06:57.620 align:middle line:84%
which we needed to
carry out this plan

01:06:57.620 --> 01:07:04.270 align:middle line:84%
that we sketched at the
beginning solving the Dirichlet

01:07:04.270 --> 01:07:05.150 align:middle line:90%
problem.

01:07:05.150 --> 01:07:09.370 align:middle line:84%
So now we just need to
check that that operator I

01:07:09.370 --> 01:07:12.790 align:middle line:84%
had before, which is
A to the 1/2 composed

01:07:12.790 --> 01:07:15.490 align:middle line:84%
with multiplication by B
composed with A to the 1/2

01:07:15.490 --> 01:07:17.450 align:middle line:84%
is a compact
self-adjoint operator.

01:07:17.450 --> 01:07:21.098 align:middle line:84%
So first, let me just state
a theorem about multiplying

01:07:21.098 --> 01:07:22.140 align:middle line:90%
by a continuous function.

01:07:22.140 --> 01:07:26.620 align:middle line:84%
Let V be a real value
continuous function.

01:07:26.620 --> 01:07:39.100 align:middle line:90%


01:07:39.100 --> 01:07:45.460 align:middle line:84%
Define m sub v as
in multiplication f

01:07:45.460 --> 01:07:52.740 align:middle line:84%
of x to be this V of
x f of x for f in L2.

01:07:52.740 --> 01:07:58.660 align:middle line:90%


01:07:58.660 --> 01:08:07.850 align:middle line:84%
Then this is a bounded
linear operator on L2,

01:08:07.850 --> 01:08:09.632 align:middle line:90%
and it's self-adjoint.

01:08:09.632 --> 01:08:20.470 align:middle line:90%


01:08:20.470 --> 01:08:25.390 align:middle line:84%
So I'm actually going to
leave this as an exercise.

01:08:25.390 --> 01:08:29.350 align:middle line:90%
It's not too difficult to prove.

01:08:29.350 --> 01:08:32.319 align:middle line:84%
Again, just multiplying
by this function, which

01:08:32.319 --> 01:08:35.982 align:middle line:84%
is continuous and bounded gives
you boundedness automatically.

01:08:35.982 --> 01:08:37.899 align:middle line:84%
And the fact that its
real value will give you

01:08:37.899 --> 01:08:39.069 align:middle line:90%
the self-adjointness.

01:08:39.069 --> 01:08:41.979 align:middle line:90%


01:08:41.979 --> 01:08:48.235 align:middle line:84%
So from this, you can
conclude the following.

01:08:48.235 --> 01:08:59.890 align:middle line:84%
Let V between a
function be real value,

01:08:59.890 --> 01:09:04.859 align:middle line:84%
then the operator T equals
A to the 1/2 composed

01:09:04.859 --> 01:09:10.350 align:middle line:84%
with multiplication by v,
composed with A to the 1/2

01:09:10.350 --> 01:09:11.790 align:middle line:90%
satisfies the following.

01:09:11.790 --> 01:09:19.180 align:middle line:90%


01:09:19.180 --> 01:09:32.149 align:middle line:84%
One is T is a self-adjoint
compact operator on L2.

01:09:32.149 --> 01:09:36.850 align:middle line:90%


01:09:36.850 --> 01:09:43.800 align:middle line:84%
And one extra condition
is T is bounded.

01:09:43.800 --> 01:09:46.500 align:middle line:84%
So in fact T is a
bounded operator

01:09:46.500 --> 01:09:54.120 align:middle line:90%
from L2 to continuous functions.

01:09:54.120 --> 01:09:56.940 align:middle line:90%


01:09:56.940 --> 01:09:59.990 align:middle line:84%
And if I take an L2 function
and stick it into this function,

01:09:59.990 --> 01:10:03.200 align:middle line:84%
I get out a continuous
function in a bounded way.

01:10:03.200 --> 01:10:06.720 align:middle line:90%


01:10:06.720 --> 01:10:09.650 align:middle line:84%
So one follows
immediately from what

01:10:09.650 --> 01:10:18.850 align:middle line:84%
we've proven already in
this exercise of a theorem

01:10:18.850 --> 01:10:20.830 align:middle line:90%
that I gave, right.

01:10:20.830 --> 01:10:24.610 align:middle line:84%
Multiplication by V is
a self-adjoint operator.

01:10:24.610 --> 01:10:26.620 align:middle line:84%
A to the 1/2 is a
self-adjoint operator.

01:10:26.620 --> 01:10:28.790 align:middle line:84%
A to the 1/2 is a
self-adjoint operator.

01:10:28.790 --> 01:10:31.810 align:middle line:84%
So when I take the
adjoint of this quantity,

01:10:31.810 --> 01:10:35.440 align:middle line:84%
I will get the adjoint
of A to the 1/2 in front,

01:10:35.440 --> 01:10:37.810 align:middle line:84%
adjoint of mv, adjoint
of A to the 1/2.

01:10:37.810 --> 01:10:40.340 align:middle line:84%
They are equal to
each other themselves.

01:10:40.340 --> 01:10:42.440 align:middle line:84%
So I get out something
self-adjoint.

01:10:42.440 --> 01:10:47.140 align:middle line:84%
This is the composition
of, if you like,

01:10:47.140 --> 01:10:49.310 align:middle line:84%
a bounded operator with
a compact operator.

01:10:49.310 --> 01:10:52.460 align:middle line:90%
So I get a compact operator.

01:10:52.460 --> 01:10:54.700 align:middle line:84%
So that proves it's a
self-adjoint compact operator

01:10:54.700 --> 01:10:55.720 align:middle line:90%
on L2.

01:10:55.720 --> 01:11:02.170 align:middle line:84%
Why is this a bounded
operator from L2

01:11:02.170 --> 01:11:03.350 align:middle line:90%
to continuous functions?

01:11:03.350 --> 01:11:16.130 align:middle line:84%
Well, it suffices to show
that this A to the 1/2

01:11:16.130 --> 01:11:26.610 align:middle line:84%
is a bounded operator from
L2 to continuous functions.

01:11:26.610 --> 01:11:27.267 align:middle line:90%
Why is that?

01:11:27.267 --> 01:11:29.100 align:middle line:84%
Because if I take an
L2 function and feed it

01:11:29.100 --> 01:11:32.038 align:middle line:84%
into this operator
T, then A to the 1/2

01:11:32.038 --> 01:11:33.330 align:middle line:90%
would be a continuous function.

01:11:33.330 --> 01:11:36.690 align:middle line:84%
Multiplication by V will be
a continuous function, again,

01:11:36.690 --> 01:11:39.130 align:middle line:84%
because multiplication
by V is continuous.

01:11:39.130 --> 01:11:40.600 align:middle line:90%
So V is continuous.

01:11:40.600 --> 01:11:43.080 align:middle line:84%
And A to the 1/2 applied
to a continuous function

01:11:43.080 --> 01:11:44.740 align:middle line:84%
again spits out a
continuous function.

01:11:44.740 --> 01:11:47.550 align:middle line:84%
So suffices to show
that A to the 1/2

01:11:47.550 --> 01:11:53.240 align:middle line:84%
is a bounded linear operating
from L2 to continuous function.

01:11:53.240 --> 01:12:07.610 align:middle line:84%
So let f be given in
a Fourier expansion

01:12:07.610 --> 01:12:16.316 align:middle line:84%
in terms of the
sine k pi x's, then

01:12:16.316 --> 01:12:20.920 align:middle line:84%
if A to the 1/2
in f of x, this is

01:12:20.920 --> 01:12:36.180 align:middle line:84%
equal to k pi square
root of 2 sine k pi of x.

01:12:36.180 --> 01:12:38.610 align:middle line:84%
And now to show
that A to the 1/2

01:12:38.610 --> 01:12:40.360 align:middle line:84%
applied to f is a
continuous function,

01:12:40.360 --> 01:12:42.420 align:middle line:84%
we'll apply the
Weierstrass M-test right.

01:12:42.420 --> 01:12:47.260 align:middle line:84%
So this is an infinite sum
of continuous functions.

01:12:47.260 --> 01:12:48.840 align:middle line:84%
So to apply the
Weierstrass M-test,

01:12:48.840 --> 01:12:51.870 align:middle line:84%
I have to say that I can
bound this thing by something

01:12:51.870 --> 01:12:52.620 align:middle line:90%
which is summable.

01:12:52.620 --> 01:12:56.950 align:middle line:90%


01:12:56.950 --> 01:12:59.540 align:middle line:90%
So I have this.

01:12:59.540 --> 01:13:02.965 align:middle line:84%
And then I also, if I take
the absolute value of--

01:13:02.965 --> 01:13:09.560 align:middle line:90%


01:13:09.560 --> 01:13:15.710 align:middle line:84%
that's less than or
equal to ck over k pi

01:13:15.710 --> 01:13:21.830 align:middle line:84%
square root of 2, which is less
than or equal to Tk over k.

01:13:21.830 --> 01:13:23.180 align:middle line:90%
And I claim this is summable.

01:13:23.180 --> 01:13:26.186 align:middle line:90%


01:13:26.186 --> 01:13:29.330 align:middle line:84%
And if I sum from k
equal 1 to infinity,

01:13:29.330 --> 01:13:34.340 align:middle line:84%
ck over k by
Cauchy-Schwarz, this

01:13:34.340 --> 01:13:40.210 align:middle line:84%
is less than or equal to sum
over k, 1 over k squared,

01:13:40.210 --> 01:13:47.480 align:middle line:84%
1/2 sum k ck squared
raised to the 1/2.

01:13:47.480 --> 01:13:50.080 align:middle line:84%
And remember, this is
just the L2 norm of f,

01:13:50.080 --> 01:13:53.420 align:middle line:84%
because the sine k pi
x's are in L2 basis.

01:13:53.420 --> 01:14:07.910 align:middle line:84%
So that equals something
like pi squared over 6.

01:14:07.910 --> 01:14:09.200 align:middle line:90%
I don't know.

01:14:09.200 --> 01:14:15.741 align:middle line:84%
Let's say it is, this
thing here times L2 norm.

01:14:15.741 --> 01:14:20.460 align:middle line:90%


01:14:20.460 --> 01:14:26.700 align:middle line:84%
So each of these continuous
functions in this infinite sum

01:14:26.700 --> 01:14:30.130 align:middle line:90%
is bounded by a constant.

01:14:30.130 --> 01:14:34.060 align:middle line:84%
And those constants are
summable by this computation.

01:14:34.060 --> 01:14:37.980 align:middle line:84%
So thus, that implies
A to the 1/2 f

01:14:37.980 --> 01:14:47.150 align:middle line:84%
is continuous function
by Weierstrass M-test.

01:14:47.150 --> 01:14:54.370 align:middle line:84%
Not only that, this computation
we did shows that A to the 1/2

01:14:54.370 --> 01:14:58.180 align:middle line:84%
applied to f of x is
less than or equal to pi

01:14:58.180 --> 01:15:03.790 align:middle line:84%
squared over 6 raised to the
1/2 times the L2 norm in f.

01:15:03.790 --> 01:15:07.330 align:middle line:84%
So it's a bounded
linear operator from L2

01:15:07.330 --> 01:15:09.403 align:middle line:84%
to the space of
continuous functions.

01:15:09.403 --> 01:15:16.170 align:middle line:90%


01:15:16.170 --> 01:15:19.765 align:middle line:90%
So where are we?

01:15:19.765 --> 01:15:28.350 align:middle line:84%
We have all the pieces
we need in place to solve

01:15:28.350 --> 01:15:34.910 align:middle line:90%
our problem, Dirichlet problem.

01:15:34.910 --> 01:15:42.580 align:middle line:90%


01:15:42.580 --> 01:15:45.000 align:middle line:90%
All the ingredients are ready.

01:15:45.000 --> 01:15:47.350 align:middle line:90%
We just need to cook them.

01:15:47.350 --> 01:15:57.820 align:middle line:90%


01:15:57.820 --> 01:16:00.380 align:middle line:84%
So I was mentioning
the Weierstrass M-test.

01:16:00.380 --> 01:16:03.260 align:middle line:84%
That should have been
covered in 18.100.

01:16:03.260 --> 01:16:07.857 align:middle line:84%
There's an infinite sum
of continuous functions.

01:16:07.857 --> 01:16:09.440 align:middle line:84%
And each of those
continuous functions

01:16:09.440 --> 01:16:10.850 align:middle line:90%
is bounded by a constant.

01:16:10.850 --> 01:16:13.160 align:middle line:84%
And those constants
are summable,

01:16:13.160 --> 01:16:17.140 align:middle line:84%
then you get a continuous
function out in the end.

01:16:17.140 --> 01:16:22.410 align:middle line:84%
So now the theorem that
concludes the existence

01:16:22.410 --> 01:16:36.220 align:middle line:84%
part of the Dirichlet problem,
let V C 0,1 continuous

01:16:36.220 --> 01:16:39.580 align:middle line:90%
function be non-negative.

01:16:39.580 --> 01:16:42.800 align:middle line:90%


01:16:42.800 --> 01:16:45.030 align:middle line:84%
So it's real value
and non-negative.

01:16:45.030 --> 01:16:48.878 align:middle line:90%


01:16:48.878 --> 01:16:56.050 align:middle line:84%
And let f be a
continuous function.

01:16:56.050 --> 01:17:09.750 align:middle line:84%
Then there exists a unique twice
continuously differentiable

01:17:09.750 --> 01:17:19.630 align:middle line:84%
function on 0, 1, solving
the Dirichlet problem,

01:17:19.630 --> 01:17:24.790 align:middle line:84%
minus u double prime,
plus V multiplied by u

01:17:24.790 --> 01:17:33.670 align:middle line:84%
equals f on 0, 1 and boundary
conditions u of 0 equals u of 1

01:17:33.670 --> 01:17:34.427 align:middle line:90%
equals 0.

01:17:34.427 --> 01:17:40.670 align:middle line:90%


01:17:40.670 --> 01:17:51.470 align:middle line:84%
All right, so I'll
just recall for you

01:17:51.470 --> 01:17:57.110 align:middle line:84%
the plan was to define u to
be A to the 1/2 pi plus A

01:17:57.110 --> 01:18:03.830 align:middle line:84%
to the 1/2 mv, A to the
1/2 inverse, A to the 1/2

01:18:03.830 --> 01:18:06.750 align:middle line:90%
applied to f.

01:18:06.750 --> 01:18:10.290 align:middle line:84%
Now we just need to say why
this thing exists, right.

01:18:10.290 --> 01:18:12.720 align:middle line:84%
Why is this operator in
the middle invertible?

01:18:12.720 --> 01:18:15.470 align:middle line:90%


01:18:15.470 --> 01:18:18.290 align:middle line:90%
And then we'll get what we need.

01:18:18.290 --> 01:18:24.485 align:middle line:84%
So proof by the Fredholm
alternative, right.

01:18:24.485 --> 01:18:30.230 align:middle line:90%


01:18:30.230 --> 01:18:35.640 align:middle line:84%
So let me not skip ahead
by previous theorem,

01:18:35.640 --> 01:18:40.920 align:middle line:84%
this operator mv is sandwiched
between A to the 1/2

01:18:40.920 --> 01:18:47.150 align:middle line:84%
is a self-adjoint
compact operator.

01:18:47.150 --> 01:18:50.391 align:middle line:90%


01:18:50.391 --> 01:19:05.770 align:middle line:84%
And therefore, the Fredholm
alternative, the inverse

01:19:05.770 --> 01:19:20.545 align:middle line:84%
exists if and only if the
null space of the operator

01:19:20.545 --> 01:19:21.045 align:middle line:90%
is trivial.

01:19:21.045 --> 01:19:32.260 align:middle line:90%


01:19:32.260 --> 01:19:37.600 align:middle line:84%
Now suppose we have
something in the null space,

01:19:37.600 --> 01:19:47.850 align:middle line:84%
and we'll show that
it has to be 0,

01:19:47.850 --> 01:19:52.770 align:middle line:84%
then if I pair this with
sub g is an element in L2,

01:19:52.770 --> 01:19:55.320 align:middle line:84%
if I pair it with
g, so I get that 0

01:19:55.320 --> 01:20:05.450 align:middle line:84%
is equal to I plus A to the 1/2,
applied to g, inner product g.

01:20:05.450 --> 01:20:08.040 align:middle line:90%


01:20:08.040 --> 01:20:10.350 align:middle line:84%
Now carrying this g
through, and it'll

01:20:10.350 --> 01:20:11.800 align:middle line:90%
get inner product with itself.

01:20:11.800 --> 01:20:19.770 align:middle line:84%
So I get g squared plus A
to the 1/2 multiplication

01:20:19.770 --> 01:20:23.940 align:middle line:84%
by V of A to the 1/2 applied
to g, inner product g.

01:20:23.940 --> 01:20:26.670 align:middle line:84%
Now since A to the
1/2 is self-adjoint,

01:20:26.670 --> 01:20:30.330 align:middle line:84%
I can move it over
to the second entry.

01:20:30.330 --> 01:20:37.630 align:middle line:90%


01:20:37.630 --> 01:20:39.280 align:middle line:90%
And let me just write this out.

01:20:39.280 --> 01:20:42.130 align:middle line:84%
This is equal to g L2
plus the inner world

01:20:42.130 --> 01:20:48.340 align:middle line:84%
from 0 to 1 of V times
A to the 1/2 g, times--

01:20:48.340 --> 01:20:52.240 align:middle line:84%
so this is all multiplication,
pointwise multiplication--

01:20:52.240 --> 01:20:58.010 align:middle line:84%
times A to the 1/2
g complex conjugate,

01:20:58.010 --> 01:21:08.725 align:middle line:84%
dx, which this gives me A
to the 1/2 g on squared.

01:21:08.725 --> 01:21:11.450 align:middle line:90%


01:21:11.450 --> 01:21:13.130 align:middle line:90%
Now V is non-negative.

01:21:13.130 --> 01:21:14.810 align:middle line:84%
So this quantity
here is non-negative.

01:21:14.810 --> 01:21:20.360 align:middle line:84%
So this is bigger than or equal
to g squared, an L2 norm of g.

01:21:20.360 --> 01:21:22.310 align:middle line:90%
And we started out with 0.

01:21:22.310 --> 01:21:26.600 align:middle line:84%
So I get that g is
0, and therefore

01:21:26.600 --> 01:21:31.190 align:middle line:84%
the null space of I plus this
self-adjoint compact operator

01:21:31.190 --> 01:21:34.310 align:middle line:90%
is trivial.

01:21:34.310 --> 01:21:37.220 align:middle line:84%
And therefore I plus this
compact self-adjoint operator

01:21:37.220 --> 01:21:38.810 align:middle line:90%
is invertible--

01:21:38.810 --> 01:21:40.204 align:middle line:90%
the Fredholm alternative.

01:21:40.204 --> 01:21:44.850 align:middle line:90%


01:21:44.850 --> 01:21:52.100 align:middle line:90%
So this inverse exists.

01:21:52.100 --> 01:22:00.040 align:middle line:90%
And I define u to be what?

01:22:00.040 --> 01:22:03.510 align:middle line:90%
A to the 1/2.

01:22:03.510 --> 01:22:12.990 align:middle line:84%
Let's say this way I'll define
V to be I plus A to the 1/2

01:22:12.990 --> 01:22:16.860 align:middle line:84%
multiplication by
V, A to the 1/2

01:22:16.860 --> 01:22:25.575 align:middle line:84%
inverse applied to A to the
1/2 f, and u to be A to the 1/2

01:22:25.575 --> 01:22:28.550 align:middle line:90%
of V.

01:22:28.550 --> 01:22:29.705 align:middle line:90%
So then what do I get?

01:22:29.705 --> 01:22:32.810 align:middle line:90%


01:22:32.810 --> 01:22:46.050 align:middle line:84%
Then u plus A applied to
multiplication by V of--

01:22:46.050 --> 01:22:52.530 align:middle line:84%
so I'll say A Vu, this is
equal to, by definition,

01:22:52.530 --> 01:22:59.490 align:middle line:84%
A to the 1/2 V
plus A to the 1/2,

01:22:59.490 --> 01:23:20.050 align:middle line:84%
simply because A is equal to
A to the 1/2 squared applied

01:23:20.050 --> 01:23:21.630 align:middle line:90%
to V.

01:23:21.630 --> 01:23:34.110 align:middle line:84%
So I get A to the 1/2, I
plus A to the 1/2 of V, A

01:23:34.110 --> 01:23:39.490 align:middle line:84%
to the 1/2 applied to V. And
now V is given by this thing.

01:23:39.490 --> 01:23:42.330 align:middle line:84%
So I just get, when it hits
that, I just get back A

01:23:42.330 --> 01:23:47.450 align:middle line:84%
to the 1/2 f multiplied
by A to the 1/2 to get Af.

01:23:47.450 --> 01:23:53.000 align:middle line:90%