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Hello everyone, welcome back to Exploring
Quantum Physics.

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I'm Charles Clark.

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We're now going to start to apply some of

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the greatest tools that mathematicians
have ever developed.

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The special functions and apply them to

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solving problems of Quantum mechanics of
simple systems.

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Now special functions.

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There are many good sources of information
on special functions available.

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but it's nice, that they have a common
reference for, so

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that everyone in this course will be using
the same one.

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So we're using this the digital library
mathematical functions,

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from my employer, the National Institute
of Standards and Technology.

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It's a free App, freely available
worldwide.

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And it contains information on,

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on all the functions that we'll be using
in this course and in

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many more, and, well, there are many other
things to be said about it.

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But when I make a reference to something
like the Airy function, which

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will be done later in this part, then what
I mean are the, the

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specific representations that are provided
there, which

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they're very much standard are the same

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that you'll find in Wikipedia, but I
encourage you to look at this anyway.

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Two several other resources for for you.
short crash course on mathematics.

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that's something certainly worth looking
at because it

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does provide a constructive by Zack Lains
and his

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collaborators, and, gives you pretty good
idea of

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the level of mathematical treatment that
started this course.

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another one page guide to how, to the

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solutions, known solutions of the
Schrodinger

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equation in terms of special functions.

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and what else, oh, a sample of a program
written in spreadsheet form for

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solving the Schrodinger equation by
numerical integration.

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So that's something we won't, I won't be
using

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that in this part, but something worth
looking at.

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There's a discussion discussion there.

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And it'll give you some simple guides as
to

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how to numerically integrate the
Schrodinger equation in cases

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when you're dealing with a a complex

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problem for which there is no known
solution.

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So, who was the first person to use

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this approach, solving a Schrodinger
equation using special functions?

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no prizes for getting this right, it was,
in fact, Schrodinger.

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And you might say that his first work,
first papers

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on the, on the wave equation, were
influential for

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several reasons.
But one, one lasting

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development was that it, it, it cast the
equation, the Schrodinger equation of

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Quantum mechanics, into a form that had

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been well understood by in classical
mechanics.

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And that was to re-, reduced

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the Schrodinger equation, differential
equation that

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had solutions in terms of functions that
were known at the time.

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So what Schrodinger,

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what Schrodinger did, of course, his, his
work,

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the importance of the work stands on its
own.

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He explained the spectrum of a hydrogen
atom, calculated the shifts of spectral

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lines, he invented, invented perturbation
theory, all

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in this series of four remarkable papers.

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But certainly is very important for the,
the wider

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implementation of his ideas, that he
developed a framework that mapped

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on to well-developed problems of classical
mathematical physics,

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and so we're following the same approach
here.

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So in this part of the lecture, we're
going to look at

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three, we're going to stick with
one-dimensional examples.

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And we'll look at a constant potential, a
linear potential, and, I

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guess, it'll be in the next part what are
this quadratic potential.

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But you might say that these are the, the
three simplest possible potentials in

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terms of development as, as polynomials.
And

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the solutions of the Schrodinger Equation
for these cases are the exponential

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function, for the linear, for the constant
potential, the Airy function for

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the linear potential, so this is
exponential Airy,

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and parabolic cylinder

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for the quadratic.

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Now, the harmonic oscillator's a special
case of that.

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but we, we're going to go through in this,
in this

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part we're going to go through these two
cases, and, and try

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to infer from them some general principles
that are relevant both for the analytical

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and numerical solution of one-dimensional
Schrodinger equations.

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Right, so let's start with the linear
potential.

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We just take V of x to be a constant.
And so here's the Schrodinger equation.

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Now, the point is we want to find
solutions for any value of the energy.

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We want to find a general, general
solution

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valid for all, for all energies because
then

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with, with such solutions in hand we can

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find the particular solutions that we need
to satisfy

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boundary conditions.

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You'll see why this is important in a
moment.

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But for example, if you just consider a
case where the, the potential is

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is, is constant over different regions

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but consider different values in different
regions.

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And you want to find a wave function, a
solution to wave equation, that

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is valid it, it'll be, it'll be a
sufficient to have this information.

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So you can piece, you an stitch the
various pieces together.

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So the approach we take is to transform
the Schrodinger equation up here into

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a standard type.
in this case the standard

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form that we see, that we see is here,
where rho is a

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scaled variable, dimensionless variable,
and and

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then the plus or minus sign has to do with
whether

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energy, positive or negative.

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We know that energy's can, can be any
number on the real line.

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so we need to account for both of those
cases.

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Okay, so we just take that system.
We

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transform, we find that dimensionless
variable row is

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kx, k is the wave vector and it's

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depending on whether the energy is greater
than or less than

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the potential energy, well this, the value
of k is, is

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determined by that.
And so there's two classes of solutions.

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So, when E is greater than V0, we have two
independent solutions.

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So, you know, let me just say again, as a
second order differential equation,

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any second order differential equation
like this

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one, has at least two independent
solutions.

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there are many different ways to choose
them but

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here I've just, I've, I've given you two
independent

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solutions sin a rho, and the cosine in a
rho.

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we'll say a little bit more about the
choice momentarily.

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And then in the region where E is

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less than V0, the two inde-, the two
independent

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solutions can be chosen of this form, E to
the rho and E to the minus rho.

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So any other solution that exists in this

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region can, is going to be a linear
combination of these two functions.

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But that means the generic behavior is
divergence,

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because if you just take you just take a
random choice of these two functions,

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then the resulting solution is going to
diverge

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as rho goes to infinity.

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And in the exceptional case where you just
choose this function,

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then it diverges going to and rho go to
the minus infinity.

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Now that can be, you know that can be
changed by another boundary condition.

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You have to be aware of that.

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In this, for this particular circumsance,
the generic behavior is divergence.

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So that, that's when that means that you,

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you have difficult choices that have to be
made.

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So I'll make two points about this,, this,
this, you know, subsets

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trivial Schrodinger equation, which either
has oscillatory or exponential solutions.

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And that is if you have a

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general understanding of the solutions,
then you could

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do a, a piecewise approximate solution, to
to

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a real potential, get a real potential
that

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has some arbitrary shape.

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You can approximate it on a piecewise
basis, and then by knowing how to solve

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the equation regions of constant
potential, you can

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sort of, propagate solutions between
different such regions.

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This is something that's used in modeling
semiconductor heterostructures and so on,

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or the photonic band-gap materials are
well understood in terms of having

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techniques for, to propagate a wave
function

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across a constant region and then to
stitch

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the, you know, stitch the transition
matrix

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together, to see what the net result is.

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So actually why don't we just now apply
that approach to the simplest possible

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problem of crossing an interface, and
we're

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going to look at an example that you,

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you see every day.

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if you look at a, look through a window

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you see a, you see a reflection of
yourself.

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I mean even if the glass is transparent
there is some reflection.

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And so it turns out that this is a
phenomena that's an example

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of this, the sort of the the potential
step function in Quantum mechanics.

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So we have

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V of x as a function of x.
this is air, this is glass.

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So, the propagation of a light-wave as it,
enters a window is the same very

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similar mathematically to the the problem
of a particle moving in a potential.

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So the way that, that is framed is that
the

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we have Y incident from a large distance
on the negative axis.

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That wave function is a form of e to the
ikx.

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Then there's a reflected component, which
is of the type R, the reflection

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coefficient times e to the mi-, minus ikx,
and then the the

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transmitted coefficient here.
Now, how do we,

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how do we determine the effect of glass on
light?

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let me refer you to an inline quiz.

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So when light goes into glass, it's the,
the

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refractive index of glass is about 1.5,
that means that its wave length decreases.

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And so that is that means that the, the
wave, the, the wave

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equation, spacial part of the wave
equation in the interior as this form.

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And so now,

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now it's very easy to it's very easy to
determine the reflection coefficient.

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So what we, we have, we have, we have a
wave

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function on two sides of the interface,
the air and the glass.

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So we have to match the values of the wave
function to the boundary.

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So for x equals 0, that's very easy, it's
1 plus R here.

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It's T here, so we have to have 1 plus R
is equal to T.

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And then, we match the derivatives,

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that's is the equation of continuity
that's required in Quantum mechanics.

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So, once again, it's easy to differentiate
this side and the answer's ik 1

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minus R, and this side is just iknT.
And so now

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what do we do?
Well we divide

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we, we

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we, we, we take this side,

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and divide it by, by the other one.
So, you see, I'm just

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taking, this divided by that, this divided
by that, equals that divided by that.

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Get this simple equation for the
reflective's coefficient.

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So, you see that, there, the k, the

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wave vector disappears as does the
transmission coefficient.

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And then it's easy to invert this
equation, to get this.

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So R is equal to minus 0.5 over 2.5, which
is 1

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fifth.
So the actual reflected intensity is R

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squared.
Coefficient is 0.04, so it's 4%.

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This is, this is about right.
When you put light through a window that

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normal instance about 4% is reflected.

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So on the next part of this lecture we're
going to explore the next

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sequence, next in the sequence of
complexity, the linear potential.

