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In this video, I'm going to complete the
most technically demanding part of the

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derivation of a path integral of our
presentation for the propagator that was

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introduced in the previous segment.
And here again I show the expression for

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this propagator that we derived.
So in, in the following I'm going to be

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doing my calculations mostly in one
dimension for the sake of simplicity.

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There is no real reason to go to one
dimension so the calculation sort of goes

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the same way in two dimensions or three
dimensions or 100 dimensions, it's just

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going to one dimensions is just simplifies
notation so it'll be, we don't have to

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deal with vector indices.
And also it will allow me to illustrate

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certain steps of our derivation in a sort
of an intuitive vectorial way.

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So, the second comment I would like to
make is that what we call the propagator

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also appears in the literature under the
name of transition amplitude, well, from

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an initial point xi to final point xf, in
this case, and a very closely related

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object is also called the Green function.
So if you see these expressions in the

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literature, they may be actually very much
related to one another, and all refer to

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this object [unknown].
Now, the main difficulty in calculating

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this object once again, is the presence of
this evolution operator, which is an

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exponential of [unknown].
And to calculate this exponential of an

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operator is a very tricky business.
So basically the goal of the remaining

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calculation, as we discussed, is going to
be to simplify this expression so that it

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doesn't really contain any operators.
And we deal with sort of regular

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mathematical quantities, not operators.
And in doing this simplification we're

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going to rely on two very useful
mathematical, or physical actually, in

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this case, two formulas.
So, one of them, the first one listed

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here, we already have actually discussed
in the second lecture last week.

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So, this is the so called resolution of
the identity operator.

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And the fact that it is the identity
operator means that so let's see if we

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have an arbitrary wave-function of psi,
and we have to by this operator on this

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wave-function of psi.
It is psi, so what we're going to get, is

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the full length, x of psi, this matrix
elements, times the [unknown] x, dx.

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And this is identically equal to the psi
itself.

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So this is the formula number 1.
Another equation which is going to be very

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useful, actually, it's a property of the
evolution operator.

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It actually relies on the very simple
observation.

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So, the evolution operator itself
translates the wave-function from the

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initial moment of time.
So, this is time and this is, let's say,

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time equals 0.
So, to the wave-function psi of t, at

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time, at the final moment of time t equals
t.

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So but instead of going directly from 0 to
t, we can do that in sort of two steps.

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We first can go to, let's say, certain t1,
which is between 0 and t.

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And then go from t1 to t.
So and you know, going from t1 to t at the

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response here in the language of this
resolution operator is applying this

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operator with a h, which depends on t
minus t1 to the wave-function that we have

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here in the middle.
So, on the other hand, the wave-function

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in the middle on the pdi of t1 itself can
be represented as the action of the

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resolution operator U of t1 on the
original wave-function of psi of 0.

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So, therefore what we derive here is that
the evolution operator U of t can be

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written as the product of two evolution
operators U of t minus t1 times U of t1.

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Now so the particularly simple way of
splitting the time interval into two,

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let's, in this case, is just dividing it
in half.

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So, let's say again, so we have this time
axis of 0 t, and we just divide it into

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two pieces, so from 0 to t2 and t2 to t.
And so therefore, we have the expression

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for the evolution operator U of t, is
equal to U of t over 2 times U of t over

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2.
So now if we're going to use the well, if

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we're going to real, if we're going to
focus on the actual propagator, which is

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the matrix element of this evolution
operator between the initial point xi and

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the final point xf, what we can do, we
can, well we can write it as xf U of t

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over 2, U of t over 2, xi and insert here
the resolution of the identity that we

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discussed on the previous slide.
So, if we do so, we get to this

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expression, which essentially splits the
original propagator into two propagators.

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One goes from xi to x, and the other goes
from point x to the final point x sub f.

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This splitting of the regional propagator
into two allows a very useful and

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intuitive, illustration that I'm going to
present now which will actually bring us

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closer to the notion of a path integral.
So, let's say this is my coordinate x and

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this is time t.
So and this is my 0 and final time t.

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This is going to be my xi and xf.
And so, what I'm interested in is

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calculating the propagator of going from
the initial moment of time, xi, to this xf

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at t equals t.
So, this is essentially what I'm

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calculating, and this sort of solid line
connecting the two points sort of

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corresponds to my G of xi, xf, t.
Now, this equation tells me that I can

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take, well, the point in the middle.
So, this is going to be my t over 2 and

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what I have to do in order to calculate
this propagator, I have to consider all

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possible coordinates in between.
So, let's say, I will go from xi to x and

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from x to xf.
This is going to be one path.

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Another path is going to be to go to a
different x, like as so, etc., etc.

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So, this solid lines are going to be sort
of representing you know, the first and

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the second propagator in this interval.
And well, obviously this procedure of

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splitting the original time, time interval
and position interval into two can be

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continued.
So, what I can do, I can keep on

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truncating my, my time interval into
smaller and smaller pieces, and what I'm,

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what I will continue doing so I will have
more and more intermediate coordinates

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that are going to appear, and therefore, I
will generate all possible trajectories

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that are going to cover the entire space.
And this is how path integral or integral

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over trajectories really appears, but at
this, at the level of this illustration,

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this path integral, this picture is not
very useful for sort of practical

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purposes.
To make some progress here, so let me sort

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of formalize what I just said and what I
said is simply the fact that, let me just

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split, instead of splitting my time
interval into 2 pieces, let it, let's, let

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me split it into n pieces and so an n here
is going to be very, very large.

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So, that t over n, the each individual at
the time interval is extremely small.

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And so, each of this small time interval
was the evolution operator on each of this

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time intervals will response to this
exponential, either the bar i or H bar H t

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over N.
So this t, t over n, I can make as small

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as I want.
So, and if I make it really, really small,

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so, instead of writing the full Taylor
series for this exponential, I can write

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it as simply two terms, one minus the
first linear term.

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And just, I try and take my [unknown]
right here and so basically, approximate

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my evolution operator in each of this
dimension intervals as, as so.

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So, as a matter of fact, you can say, that
you know, I shouldn't have done this

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deviation.
So, because at the end of the day, what I

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have actually derived is that either the
power minus i over h bar, h Hamiltonian

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times t is equal to 1 minus I over H bar H
t over N to the power N, where N goes to

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infinity.
And this is actually, and I'm tryin' to

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give definition of exponential.
And this is absolutely correct, this is

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all there is, so we're basically just
writing instead of writing the complicated

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nonlinear function exponential of an
operator that's a complicated function,

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we're just going to write it as a product
of function which are linear in our

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[inaudible] doing it.
And as we, as we do so in between each of

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these terms in this product, I'm going to
insert my favorite resolution of the

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identity.
So, this dx, x, x.

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And well, since I have many x's now, so
I'll have to label them differently, so

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there's going to be x1, x2, x3, which will
sort of correspond to this intermediate

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coordinates that I have in, in my
projections.

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Now, if we put everything together, we get
this complicated-looking expression for

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the propagator, which is obtained by,
well, sort of sandwich, sandwiching this

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product of evolution operators between xi
and xf.

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And here, I'm also going to be using the
notation x0 is the initial one and x sub N

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is going to be the final one.
So, this will allow me to write the, this

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propagator in a more compact way.
And also as I mentioned so in between of

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each of these sort of small evolution
operators for a small time, t over N or

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delta t.
So, I insert this resolution identity but

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I have to sep distinguish different
instances where I have to do so and

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therefore, I have so many different
integrals.

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Now the reason again on doing this is
because instead of dealing with this

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complicated exponential, I now can deal
with this linear matrix elements of, of

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the Hamiltonian, which can be calculated
in a rather straightforward way.

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So just to summarize what, what remains to
be calculated if you just look at this

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expression is, well simply the matrix
element between x of k plus 1 and x of k

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and the matrix element of the Hamiltonian.
So, all these guys are, you know, i, H

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bar, m and tr are numbers, so they don't
really act on this on this function.

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And the Hamiltonian, itself, of course is,
is just basically the operator [unknown]

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wanting to the energy [unknown] because
the kinetic energy part and the potential

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energy part.
And so, apart from this matrix element, I

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have to calculate two other matrix
elements, which essentially are the last

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pieces of the puzzle that requires to be
completed in order to get this [unknown].

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And so, and the remaining goal of this
video, I'm going to be calculating

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basically these guys.
