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Okay, welcome back everybody.
Today we're going to actually use the

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Feynman path integral to obtain a few very
interesting results and physical

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phenomena.
And in the first video today, we're going

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to actually derive a very unexpected
surprising result.

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Namely, we're going to see how the Newton
equation second Newton law of classical

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physics appears in the so-called classical
limit of the Feynman path integral.

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So more precisely what I'm going to, what
I'm going to do, I'm going to start with

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the with an expression that we discussed
in the previous lecture.

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So which tells of that the probability of
a quantum particle to go from an initial

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point R sub i to find a point R sub f can
be written as the sum absolute value of a,

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a sum over all classical trajectories.
Which sort of symbolically represents what

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we call the path integral of this
individual quantum mechanical transition

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amplitudes.
And each of these amplitudes is written as

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the exponential of this symmetric constant
i, times the classical action, divided by

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the Planck Constant.
And surprisingly, what we're going to see

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is that the familiar equations of motion
of the classical physics the, Newton's

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second law, appears as a result of taking
the classical limit in this expression.

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And I'm going to formulate precisely what
I mean by the classical limit, but at this

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stage let me just tell you that the
classical limit will imply suppressing the

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essence of quantum mechanics.
The interference phenomena, which is,

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which are controlled by this, this Planck
constant H bar.

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Now, just as a side comment here, sort of
the historical comment, let me mention

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something about this, equation.
So, of course, this is I expect.

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All of you, or the majority of you to know
this equation is something you heard of

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sometimes in high school which is the
second Newton law that mass times

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acceleration of a classical particle is
equal to the sum of all the forces acting

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on the particle.
So, apparently if you read actually the,

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the original scientific work by Newton.
The first version, the first edition of

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this Pincipia was published back in 1687,
a long time ago.

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So we're not actually see this equation in
this modern form.

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The closest formulation to what we
currently call Newton's second law of

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motion.
Appeared in his original work in the

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following form.
The change in motion is proportional to

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the motive forced impressed and takes
place along the straight line in which

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that force is impressed.
It probably requires some imagination to

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connect this statement toward to well to
this equation.

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But in any case obviously Newton not only
understood, the basic principles of

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classical mechanics, he was the one who
created it.

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So there's no question about that.
So this comment, I just wanted to make to

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show you that sometimes the original
discoveries evolve very strongly from

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their original form.
And become even though we still give

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credit to people who were the fi rst to
put them together the final form may be

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quite different from what they were
envisioning.

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And this is a perfect example of that.
Now, going back to the main subject of,

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this video.
So now I'm going to actually, show you how

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mathematically this, old and well known
Newton, second Newton Law appears from

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this modern, more sophisticated quantum
theory, seemingly unrelated theory.

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In order for me to show you how it
happens, I need to present a mathematical

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trick or method ih, called Laplace's
method or saddle point approximation which

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allow us to calculate certain integrals
that otherwise cannot be calculated really

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quickly.
And this method as you all see sort of

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propagates to more complicated theories
including our ability to calculate certain

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path integrals approximately.
Now we have seen already the Gaussian

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integral, which is an integral of e to the
power minus x squared and between minus

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infinity and to plus infinity.
And we know the result is equal to the

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square root of, of pi.
So of course what this integral is, Is the

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area enclosed by this curve which is
nothing but the plot of this Gaussian

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function, e minus x squared as a function
of x.

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Now, of course, this function is special,
well, not very, nothing particularly

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special about this function but it does
appear in many fields of math and physics

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and one property of this function is that
it, It is very, very fast when the

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argument x becomes large, either very
negative or very positive.

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Now in general, however, if we want to
calculate the integral of let's see, from

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minus infinity to plus infinity or some
other limits of a function e to minus f of

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x where f of x is a relatively arbitrary
function.

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There is no close mathematical expression
typically for a Gaussian integral.

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But it turns out that if there's a small
parameter in the exponential, if this

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function actually involves, so not just f
of x but f of x divided by some epsilon

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and this epsilon is very small Then, 1, in
many cases, can simplify things.

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And I will explain the logic, behind this
simplification on a particular example of

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this function of effects.
Which is x squared plus, 1 over x squared.

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And so I want, I want to integrate the
exponential of minus this function, from

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my minus infinity to plus infinity.
So there's no closed analytical expression

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for the integral of this word but it turns
out that if indeed we have this small

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parameter in the denominator of the
exponential things can actually be

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simplified.
In order to see how it happens, that we

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pull up this function, f of x and Soo if
we do so we say that there Minimum but of

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course due to the minus sign in the
exponential.

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The smaller the f of x, the larger the
exponential itself.

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And vice versa.
So if f of x on the other hand becomes

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very large and positive, e to the power
minus f of x becomes negligible.

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So if we now plot the function that we
actually want to integrate.

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It's going to look approximately like this
so as my artistic expression of what it's

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good look like the point here is that it
will have a maximum around where around f

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of x is minimal and is going to have the
stales which becomes smaller and smaller

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as f of x becomes larger.
And so what we want of course

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geometrically, we want to collect the area
enclosed by this curve.

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And so some area will come from the
original, this maximum, and some area

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become, will come from these tails.
So, but as epsilon this parameter here,

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becomes smaller and smaller, let's say,
when it's 0.1 or something like that.

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So then it implies that I will
exponentiate either by one or 0.1, which

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means either power of 10.
Of whatever these tails r.

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And so these tails will become less and
less relevant on the background of this

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peak.
So the, for instance, for smaller epsilon,

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so let's say my f of x were smaller,
epsilon is going to look like this.

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So, and, and in some sense, it's going to
become closer and closer to the Gaussian

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form.
So the reason for that because if I expand

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my function f of x in Taylor series in the
vicinity of this point f of x equals 1.

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So what I'm going to get so its the first
one which is just the value of my function

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at h f at f's equal 1 plus f prime of f
equals 1 x minus 1 plus f 2 primes,

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divided by 2 x minus 1 squared.
But since this is a minimum of my

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function, so the derivative, the first
derivative of my function here of n, I

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should say becomes equal to 0.
And so the only terms we sh-, sort of in

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the leading order that matter i-, are
this, this guy and the quadratiture.

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So essentially which means the integral
that I'm dealing with, Gaussian.

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And, as I mentioned, we know how to
calculate Gaussian integral.

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So without going through the algebra, let
me just, sort of present, the results.

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So here is, I first present sort of a
general result for a, almost arbitrary

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function, f or x.
And the first factor here accounts

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essentially from the just simply
calculating the value of this exponential

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in the minimum point of f.
And the second term is the result of

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integrating the Gaussian part much like
this Gaussian integral.

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So for, for the particular function we
consider well we don't, we are not going

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to need this result at all.
So it is just, it was just example but

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nevertheless, here is the, here is the
answer.

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Let me also mention another fact, which
I'm not going to prove it but it's

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important for the following, that even if
we have a slightly different integral when

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we have an exponential of i, the measuring
constant i over some.

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Small parameter and sum f of x.
So this integral often times can too be

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simplified using this, very similar
saddle-point approximation which we just

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discussed.
And the reason for that is because e to

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power i f of x is, can be written as a
bunch of cosines and sines.

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And the if epsilon becomes very small they
become stronger oscillating functions.

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Which on the average give us 0 if epsilon
is small, because we have a, a plus, a

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positive part of the cosine and negative
part of the cosine and then in some sense,

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they balance each other out and give on
the average, 0.

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And there is a similar argument that you
can actually write the expression of this

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integral in a very similar form and focus
only on the minimum of this function.

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Now, let me go back to quantum physics and
we're going to see how the previous

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mathematical discussion is going to become
relevant.

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Now, remember, so I've, my motivation in
the very beginning, I said that I want to

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take the classical limit of my quantum
mechanical theory.

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So what does it mean to take a classical
limit?

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So let us recall that the most interesting
quantum phenomenon, the way how quantum

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mechanics was actually discovered Implied
interference between different waves, sort

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of describing wave functions is describing
a particle.

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So if we want to kill in some sense the
quantum mechanical effects, we want to

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suppress the interference phenomenon, or
we want to make the wavelength as small as

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possible.
So let's say if we have a particle with a

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momentum p.
So the corresponding wavelength is going

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to be per, the argument is going to be h
bar over 2pi p.

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So if you want to set a lambda to 0, that
is completely suppress the interference

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effect effects of the particlelization
wave lengths, we want to set in some sense

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h to 0.
So the Planck constant, which controls the

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quantum effects, which is sort of the
essence of quantum mechanics, so it should

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be set to zero in order to take the
classical limit.

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So now, recall the expression for the
Feynman path integral.

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So we see that in the quasi-classical
limit, in the classical limit, we have an

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H four always taken to zero.
The function that we are actually or

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function I'll better say, that we're
integrating, becomes in some sense very

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similar to the types of functions that we
saw in the previous slide.

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With the h bar here at applying constant,
being the coolant in a sense with the h.

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To the epsilon, parameter epsilon that
control the applicability of the settle

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point approximation.
And also in the full analogy with this

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previous slide with the settle point
approximation we can see that a, as h

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becomes smaller and smaller so we can only
focus on the trajectories in the vicinity

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of the trajectory for which the action is
minimal.

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So basically the limit of h going to zero
therefore reproduces the principle of

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least action, which is another sort of
cornerstone of classical physics.

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Now I should comment here that of course h
bar the Planck constant, is a fundamental

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physics constant.
We cannot take it to zero, we cannot take

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the limit physically of h bar going to
zero.

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What it actually means, when I'm saying
that h bar goes to zero.

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And this also, you're going to see it in
textbooks on quasi classical

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approximation.
It means that, we have, essentially, two

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types of length scales in our problem.
1 type of length scale is, the wavelengths

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of our quantum particles.
And the other type of length scales is

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the, typical length scales in our system.
And if with the wave length of our quantum

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particles are much more than everything
else, this effectively means this limit

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and this effectively means the
applicability of the quasi classical

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approximation.
So for those of you who are familiar with

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the Lagrangian classical mechanics it
should be clear now that a principle of

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least action already demands that we
essentially are going to reproduce

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Newton's equations.
As was advertised in the beginning of the

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lecture.
So you can stop listening to the lecture

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right here, and move on to the next part.
But for the sake of completeness.

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Let me, nevertheless present or remind you
how these equations would come about.

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So again, how the question we're now
asking, okay we have found that while if

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we take the Planck constant to zero, or if
we consider the wavelengths which are much

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more that everything else.
We essentially extract we must extract the

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minimum of the classical action from the
path integral and this minimum would occur

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on a particular trajectory that particle
would follow.

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00:14:18,800 --> 00:14:24,488
So how to find this special trajectory?
So we can sort of, motivate the standard

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00:14:24,488 --> 00:14:29,180
what is know as a variational analysis by
this again simple analogy using the usual

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00:14:29,180 --> 00:14:32,558
functions.
So, suppose we have an arbitrary function

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00:14:32,558 --> 00:14:37,114
f of x, which has a minimum or maximum
principal too, somewhere, but let's assume

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it's a minimum, and we want to determine
the point where this minimum actually

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occurs.
And for this I can again use the Taylor

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00:14:44,521 --> 00:14:48,669
expansion for the wavefunction, I'm sorry,
for this function f in the vicinity of

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00:14:48,669 --> 00:14:51,100
this point x naught, which I am trying to
find.

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00:14:51,100 --> 00:14:54,748
And so it's going to have the value of the
function at x naught, the first

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00:14:54,748 --> 00:14:59,114
derivative, the second derivitive, etc...
And the minimum of this function, see if I

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have a functin, so this minumum.
Is going to occur where this derivative or

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00:15:03,822 --> 00:15:09,582
the certain the tangent to this plot f of
x as a function of x is going to be

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00:15:09,582 --> 00:15:14,000
horizontal to the x direction or the first
derivative vanishes.

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00:15:14,000 --> 00:15:20,076
Now, an analogy to this if we have now a
function or in particular, our action f of

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00:15:20,076 --> 00:15:23,208
x.
So to determine a particular trajectory,

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which we will identify the classical
trajectory.

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So we have to demand that if we calculate
this action in the vicinity of this

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classical trajectory in which the action
is miminal.

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The first sort of variation, the analogy
well the anal-, analogous part of this

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first derivative is going to vanish.
And this symbol delta s equals zero.

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So this equation is sort of mathematical
expression for this principle of the list

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action.
And in some sense, all of classical

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00:15:56,433 --> 00:16:02,559
physics Is contained in this equation
which is actually quite remarkable.

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00:16:02,559 --> 00:16:07,461
Now, if we now go back to, well recall a
particular action where study now which is

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just the kinetic energy, mv seqared over 2
minus the potential energy for a certain

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quantum particle.
Similar to find the classical trajectory,

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00:16:16,308 --> 00:16:20,980
as we know we want to calculate the first
variation and we do so by writing this

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00:16:20,980 --> 00:16:25,460
action in the vicinity of the classical
trajectory that we want to find.

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00:16:25,460 --> 00:16:29,960
So in some sense, what we should think
about is that we have this initial point.

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00:16:29,960 --> 00:16:36,653
And we have this final point and there is
some unique trajectory that we're looking

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00:16:36,653 --> 00:16:40,817
for, but there's also trajectory very
close to it.

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00:16:40,818 --> 00:16:45,976
And this division from this so this black
trajectory here is the classical

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00:16:45,976 --> 00:16:49,970
trajectory and the red ones are, are r
classical plus d r.

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00:16:49,970 --> 00:16:54,487
This d r is a small deviation from the
classical path.

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00:16:54,488 --> 00:16:59,115
So if we now just simply plug this
expression into this a expression for the

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00:16:59,115 --> 00:17:02,582
action.
So we're going to have the kinetic energy

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00:17:02,582 --> 00:17:07,000
true, so of course the velocity is, just d
r over d t.

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00:17:07,000 --> 00:17:12,170
Or for brevity we can write as r dot.
So we're gonave have are the two terms and

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00:17:12,170 --> 00:17:16,017
we're going to have two terms as an
argument of the potential energy.

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00:17:16,018 --> 00:17:20,940
And since dr is very small we're going to
keep track only of the linear terms here.

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00:17:20,940 --> 00:17:25,660
So for example in the kinetic energy part.
So here we're going to have.

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00:17:25,660 --> 00:17:34,220
So M over 2 plus equal velocitiy squared.
Plus, the linear term, which, comes from,

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00:17:34,220 --> 00:17:41,473
2r dot dr.
So we're going to have m or plus equal dot

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00:17:41,473 --> 00:17:45,210
plus dr dot.
And this guy, what we're going to do.

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00:17:45,210 --> 00:17:50,065
We're going to.
Expand this function in Taylor series up

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00:17:50,065 --> 00:17:54,991
to linear order.
And again we can do that because this d r

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00:17:54,991 --> 00:18:01,134
is very small.
And, so, we're going to have the classical

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00:18:01,134 --> 00:18:08,470
sorry our classical minus gv over gr the
gradient, dot e r.

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00:18:08,470 --> 00:18:16,317
And everything integrated over, time.
So we have four terms here.

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00:18:16,318 --> 00:18:20,558
So this term is simple enough.
And these two terms actually this guy and

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00:18:20,558 --> 00:18:24,477
this guy, together they represent a the
classical action.

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00:18:24,477 --> 00:18:27,150
So the one which occurs on the classical
trajectory.

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00:18:27,150 --> 00:18:31,246
Remember what we want is not the classical
action itself but in some sense the

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00:18:31,246 --> 00:18:35,278
derivative of the action, which we,
something which is proportional to the

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00:18:35,278 --> 00:18:37,560
d,r.
So the only term which is sort of

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00:18:37,560 --> 00:18:43,892
non-trivial is this guy.
Okay, and it can be further simplified by

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00:18:43,892 --> 00:18:50,642
using the integration by parts.
So just to remind you, I'm sure you have

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00:18:50,643 --> 00:18:55,311
many of you have seen it before, so if we
have an integral.

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00:18:55,311 --> 00:18:59,935
Let's say from a to b of, of a function f
times g prime, dx.

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00:18:59,935 --> 00:19:05,880
So we can write it as a derivative of
everything, of g prime minus f prime g.

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00:19:05,880 --> 00:19:13,349
And so here I have the full derivative,
and I basically calculate, The, the value

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00:19:13,349 --> 00:19:19,654
of the functions, and the limits and
essentially move the derivative from

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00:19:19,654 --> 00:19:25,011
function g to the function f.
Now neuro keys they're all of the function

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00:19:25,011 --> 00:19:30,135
g is played by this d r dot, and the role
of the function f is played by this m r

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00:19:30,135 --> 00:19:34,276
dot, so we want to move the derivative
from here to here.

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00:19:34,277 --> 00:19:40,667
But the this full derivative theorem.
So, if we're going to calculate the,

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00:19:40,667 --> 00:19:45,847
values of, this function dr in the
endpoints at time zero and at time t.

250
00:19:45,848 --> 00:19:49,587
They could respond to the endpoints of, of
this trajectory.

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00:19:49,587 --> 00:19:52,105
So, and our trajectory, remember, is
pinned.

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00:19:52,105 --> 00:19:56,940
So we have to go from the prescribed
initial point or prescribed final point.

253
00:19:56,940 --> 00:20:02,736
So there is no freedom for this sort of
fluctuation dv from these initial and

254
00:20:02,736 --> 00:20:06,055
final points.
They can only it can only give the h from

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00:20:06,055 --> 00:20:09,810
the classical trajectory in between.
So what I'm saying here is that this

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00:20:09,810 --> 00:20:15,130
theorem, the, the full derivative theorem
in this particular case, vanishes, and we

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00:20:15,130 --> 00:20:19,052
can simply move the derivative from here
to here with a minus sign.

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00:20:19,052 --> 00:20:25,202
So if we put everything together, based on
this discussion, so essentially, if we

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00:20:25,202 --> 00:20:31,090
integrate by parts and replace this in
this term with, with classical action.

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00:20:31,090 --> 00:20:36,436
We're going to have this classical action
minus because there isn't going to be a

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00:20:36,436 --> 00:20:41,222
minus here and there is already minus here
in the integral from 0 to r.

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00:20:41,223 --> 00:20:47,287
And there are two dots second derivative
because we moved it plus d v over d r.

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00:20:47,287 --> 00:20:52,637
And everything is multiplied by this, this
thing, delta r.

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00:20:52,637 --> 00:20:59,471
Now and remember, this is exactly our
first derivation, and this is something we

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00:20:59,471 --> 00:21:03,420
want to set to zero.
And this guy might as well be equal to

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00:21:03,420 --> 00:21:07,638
zero for every possible sort of
fluctuation away from the classical

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00:21:07,638 --> 00:21:12,360
trajectory.
And this implies that this Expression in

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00:21:12,360 --> 00:21:18,055
the curly brackets, so this expression
must be identically equal to zero for the

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00:21:18,055 --> 00:21:23,627
first variation to vanish, for us to be
able to find the minimum of the actions.

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00:21:23,628 --> 00:21:30,780
If we're going to , if we going to derive
it we're going to get m r two dots is

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00:21:30,780 --> 00:21:36,208
equal to minus d v over d r.
Well, the second derivative of the

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00:21:36,209 --> 00:21:42,904
coordinate is known as the acceleration so
the left hand side is simply m times a and

273
00:21:42,905 --> 00:21:49,554
the right hand side is the gradient of the
potential energy which is the force acting

274
00:21:49,554 --> 00:21:55,251
on the particle.
So we see that we indeed have derived the

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00:21:55,251 --> 00:22:02,450
Newton's second law from the principle of
the action being minimal.

276
00:22:02,450 --> 00:22:08,858
And this principle, itself, followed from
us taking the formal limit of h bar going

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00:22:08,858 --> 00:22:12,983
to 0, from setting to 0 the wavelengths of
our particle.
