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Professor: So, again welcome to 18.01.
We're getting started today with what we're calling
Unit One, a highly imaginative title.
And it's differentiation.
So, let me first tell you, briefly, what's in store in
the next couple of weeks.
The main topic today is what is a derivative.
And, we're going to look at this from several different
points of view, and the first one is the
geometric interpretation.
That's what we'll spend most of today on.
And then, we'll also talk about a physical interpretation
of what a derivative is.
And then there's going to be something else which I guess is
maybe the reason why Calculus is so fundamental, and why we
always start with it in most science and engineering
schools, which is the importance of derivatives, of
this, to all measurements.
So that means pretty much every place.
That means in science, in engineering, in economics,
in political science, etc.
Polling, lots of commercial applications, just
about everything.
Now, that's what we'll be getting started with, and then
there's another thing that we're gonna do in this unit,
which is we're going to explain how to differentiate anything.
So, how to differentiate any function you know.
And that's kind of a tall order, but let me just
give you an example.
If you want to take the derivative - this we'll see
today is the notation for the derivative of something - of
some messy function like e ^ x arctanx.
We'll work this out by the end of this unit.
All right?
Anything you can think of, anything you can write down,
we can differentiate it.
All right, so that's what we're gonna do, and today as I said,
we're gonna spend most of our time on this geometric
interpretation.
So let's begin with that.
So here we go with the geometric interpretation
of derivatives.
And, what we're going to do is just ask the geometric problem
of finding the tangent line to some graph of some
function at some point.
Which is to say (x0, y0).
So that's the problem that we're addressing here.
Alright, so here's our problem, and now let me
show you the solution.
So, well, let's graph the function.
Here's it's graph.
Here's some point.
All right, maybe I should draw it just a bit lower.
So here's a point P.
Maybe it's above the point x0. x0, by the way, this
was supposed to be an x0.
That was some fixed place on the x-axis.
And now, in order to perform this mighty feat, I will use
another color of chalk.
How about red?
OK.
So here it is.
There's the tangent line, Well, not quite straight.
Close enough.
All right?
I did it.
That's the geometric problem.
I achieved what I wanted to do, and it's kind of an interesting
question, which unfortunately I can't solve for you in
this class, which is, how did I do that?
That is, how physically did I manage to know what to do
to draw this tangent line?
But that's what geometric problems are like.
We visualize it.
We can figure it out somewhere in our brains.
It happens.
And the task that we have now is to figure out how to do it
analytically, to do it in a way that a machine could just as
well as I did in drawing this tangent line.
So, what did we learn in high school about what
a tangent line is?
Well, a tangent line has an equation, and any line through
a point has the equation y - y0 is equal to m the
slope, times x - x0.
So here's the equation for that line, and now there are two
pieces of information that we're going to need to work
out what the line is.
The first one is the point.
That's that point P there.
And to specify P, given x, we need to know the level of y,
which is of course just f(x0).
That's not a calculus problem, but anyway that's a very
important part of the process.
So that's the first thing we need to know.
And the second thing we need to know is the slope.
And that's this number m.
And in calculus we have another name for it.
We call it f prime of x0.
Namely, the derivative of f.
So that's the calculus part.
That's the tricky part, and that's the part that we
have to discuss now.
So just to make that explicit here, I'm going to make a
definition, which is that f '(x0) , which is known as the
derivative, of f, at x0, is the slope of the tangent line to y
= f (x) at the point, let's just call it p.
All right?
So, that's what it is, but still I haven't made any
progress in figuring out any better how I drew that line.
So I have to say something that's more concrete, because
I want to be able to cook up what these numbers are.
I have to figure out what this number m is.
And one way of thinking about that, let me just try this, so
I certainly am taking for granted that in sort of
non-calculus part that I know what a line through a point is.
So I know this equation.
But another possibility might be, this line here, how do I
know - well, unfortunately, I didn't draw it quite straight,
but there it is - how do I know that this orange line is not a
tangent line, but this other line is a tangent line?
Well, it's actually not so obvious, but I'm gonna
describe it a little bit.
It's not really the fact, this thing crosses at some other
place, which is this point Q.
But it's not really the fact that the thing crosses at two
place, because the line could be wiggly, the curve could be
wiggly, and it could cross back and forth a number of times.
That's not what distinguishes the tangent line.
So I'm gonna have to somehow grasp this, and I'll
first do it in language.
And it's the following idea: it's that if you take this
orange line, which is called a secant line, and you think of
the point Q as getting closer and closer to P, then the slope
of that line will get closer and closer to the slope
of the red line.
And if we draw it close enough, then that's gonna
be the correct line.
So that's really what I did, sort of in my brain when
I drew that first line.
And so that's the way I'm going to articulate it first.
Now, so the tangent line is equal to the limit of
so called secant lines PQ, as Q tends to P.
And here we're thinking of P as being fixed and Q as variable.
All right?
Again, this is still the geometric discussion, but now
we're gonna be able to put symbols and formulas
to this computation.
And we'll be able to work out formulas in any example.
So let's do that.
So first of all, I'm gonna write out these
points P and Q again.
So maybe we'll put P here and Q here.
And I'm thinking of this line through them.
I guess it was orange, so we'll leave it as orange.
All right.
And now I want to compute its slope.
So this, gradually, we'll do this in two steps.
And these steps will introduce us to the basic notations which
are used throughout calculus, including multi-variable
calculus, across the board.
So the first notation that's used is you imagine here's
the x-axis underneath, and here's the x0, the location
directly below the point P.
And we're traveling here a horizontal distance which
is denoted by delta x.
So that's delta x, so called.
And we could also call it the change in x.
So that's one thing we want to measure in order to get
the slope of this line PQ.
And the other thing is this height.
So that's this distance here, which we denote delta f,
which is the change in f.
And then, the slope is just the ratio, delta f / delta x.
So this is the slope of the secant.
And the process I just described over here with this
limit applies not just to the whole line itself, but also in
particular to its slope.
And the way we write that is the limit as delta x goes to 0.
And that's going to be our slope.
So this is slope of the tangent line.
OK.
Now, This is still a little general, and I want to work out
a more usable form here, a better formula for this.
And in order to do that, I'm gonna write delta f, the
numerator more explicitly here.
The change in f, so remember that the point P is
the point (x0, f(x0)).
All right, that's what we got for the formula for the point.
And in order to compute these distances and in particular
the vertical distance here, I'm gonna have to get a
formula for Q as well.
So if this horizontal distance is delta x, then this
location is (x0
delta x).
And so the point above that point has a
formula, which is (x0
delta x, f(x0 and this is a mouthful,
delta x)).
All right, so there's the formula for the point Q.
Here's the formula for the point P.
And now I can write a different formula for the derivative,
which is the following: so this f'(x0) , which is the same as
m, is going to be the limit as delta x goes to 0 of the change
in f, well the change in f is the value of f at the upper
point here, which is (x0
delta x), and minus its value at the lower point P, which is
f(x0), divided by delta x.
All right, so this is the formula.
I'm going to put this in a little box, because this is by
far the most important formula today, which we use to derive
pretty much everything else.
And this is the way that we're going to be able to
compute these numbers.
So let's do an example.
This example, we'll call this example one.
We'll take the function f(x) , which is 1/x .
That's sufficiently complicated to have an interesting answer,
and sufficiently straightforward that we can
compute the derivative fairly quickly.
So what is it that we're gonna do here?
All we're going to do is we're going to plug in this formula
here for that function.
That's all we're going to do, and visually what we're
accomplishing is somehow to take the hyperbola, and take a
point on the hyperbola, and figure out some tangent line.
That's what we're accomplishing when we do that.
So we're accomplishing this geometrically but we'll be
doing it algebraically.
So first, we consider this difference delta f / delta x
and write out its formula.
So I have to have a place.
So I'm gonna make it again above this point x0, which
is the general point.
We'll make the general calculation.
So the value of f at the top, when we move to the right by
f(x), so I just read off from this, read off from here.
The formula, the first thing I get here is 1 / x0
delta x.
That's the left hand term.
Minus 1 / x0, that's the right hand term.
And then I have to divide that by delta x.
OK, so here's our expression.
And by the way this has a name.
This thing is called a difference quotient.
It's pretty complicated, because there's always a
difference in the numerator.
And in disguise, the denominator is a difference,
because it's the difference between the value on the
right side and the value on the left side here.
OK, so now we're going to simplify it by some algebra.
So let's just take a look.
So this is equal to, let's continue on
the next level here.
This is equal to 1 / delta x times...
All I'm going to do is put it over a common denominator.
So the common denominator is (x0
delta x)x0.
And so in the numerator for the first expressions I
have x0, and for the second expression I have x0
delta x.
So this is the same thing as I had in the numerator before,
factoring out this denominator.
And here I put that numerator into this more amenable form.
And now there are two basic cancellations.
The first one is that x0 and x0 cancel, so we have this.
And then the second step is that these two expressions
cancel, the numerator and the denominator.
Now we have a cancellation that we can make use of.
So we'll write that under here.
And this is equals -1 / (x0
delta x)x0.
And then the very last step is to take the limit as delta
x tends to 0, and now we can do it.
Before we couldn't do it.
Why?
Because the numerator and the denominator gave us 0 / 0.
But now that I've made this cancellation, I
can pass to the limit.
And all that happens is I set this delta x to
0, and I get -1/x0^2.
So that's the answer.
All right, so in other words what I've shown - let me put
it up here- is that f'(x0) = -1/x0^2.
Now, let's look at the graph just a little bit to check this
for plausibility, all right?
What's happening here, is first of all it's negative.
It's less than 0, which is a good thing.
You see that slope there is negative.
That's the simplest check that you could make.
And the second thing that I would just like to point out is
that as x goes to infinity, that as we go farther to the
right, it gets less and less steep.
So as x0 goes to infinity, less and less steep.
So that's also consistent here, when x0 is very large, this is
a smaller and smaller number in magnitude, although
it's always negative.
It's always sloping down.
All right, so I've managed to fill the boards.
So maybe I should stop for a question or two.
Yes?
Student: [INAUDIBLE]
Professor: So the question is to explain again
this limiting process.
So the formula here is we have basically two numbers.
So in other words, why is it that this expression, when
delta x tends to 0, is equal to -1/x0^2 ?
Let me illustrate it by sticking in a number for x0
to make it more explicit.
All right, so for instance, let me stick in here
for x0 the number 3.
Then it's -1 / (3
delta x)3.
That's the situation that we've got.
And now the question is what happens as this number gets
smaller and smaller and smaller, and gets to
be practically 0?
Well, literally what we can do is just plug in 0
there, and you get (3
0)3 in the denominator.
Minus one in the numerator.
So this tends to -1/9 (over 3^2).
And that's what I'm saying in general with this
extra number here.
Other questions?
Yes.
Student: [INAUDIBLE]
Professor: So the question is what happened between this
step and this step, right?
Explain this step here.
Alright, so there were two parts to that.
The first is this delta x which is sitting in the denominator,
I factored all the way out front.
And so what's in the parentheses is supposed to
be the same as what's in
the numerator of this other expression.
And then, at the same time as doing that, I put that
expression, which is the difference of two fractions, I
expressed it with a common denominator.
So in the denominator here, you see the product of
the denominators of the two fractions.
And then I just figured out what the numerator had
to be without really...
Other questions?
OK.
So I claim that on the whole, calculus gets a bad rap, that
it's actually easier than most things.
But there's a perception that it's harder.
And so I really have a duty to give you the calculus
made harder story here.
So we have to make things harder, because that's our job.
And this is actually what most people do in calculus, and it's
the reason why calculus has a bad reputation.
So the secret is that when people ask problems in
calculus, they generally ask them in context.
And there are many, many other things going on.
And so the little piece of the problem which is calculus is
actually fairly routine and has to be isolated and
gotten through.
But all the rest of it, relies on everything else you learned
in mathematics up to this stage, from grade school
through high school.
So that's the complication.
So now we're going to do a little bit of
calculus made hard.
By talking about a word problem.
We only have one sort of word problem that we can pose,
because all we've talked about is this geometry point of view.
So far those are the only kinds of word problems we can pose.
So what we're gonna do is just pose such a problem.
So find the areas of triangles, enclosed by the axes and
the tangent to y = 1/x.
OK, so that's a geometry problem.
And let me draw a picture of it.
It's practically the same as the picture for example one.
We only consider the first quadrant.
Here's our shape.
All right, it's the hyperbola.
And here's maybe one of our tangent lines, which is
coming in like this.
And then we're trying to find this area here.
Right, so there's our problem.
So why does it have to do with calculus?
It has to do with calculus because there's a tangent line
in it, so we're gonna need to do some calculus to
answer this question.
But as you'll see, the calculus is the easy part.
So let's get started with this problem.
First of all, I'm gonna label a few things.
And one important thing to remember of course, is that
the curve is y = 1/x.
That's perfectly reasonable to do.
And also, we're gonna calculate the areas of the triangles, and
you could ask yourself, in terms of what?
Well, we're gonna have to pick a point and give it a name.
And since we need a number, we're gonna have to do
more than geometry.
We're gonna have to do some of this analysis just
as we've done before.
So I'm gonna pick a point and, consistent with the labeling
we've done before, I'm gonna to call it (x0, y0).
So that's almost half the battle, having notations, x and
y for the variables, and x0 and y0, for the specific point.
Now, once you see that you have these labellings, I hope it's
reasonable to do the following.
So first of all, this is the point x0, and over
here is the point y0.
That's something that we're used to in graphs.
And in order to figure out the area of this triangle, it's
pretty clear that we should find the base, which is that we
should find this location here.
And we should find the height, so we need to
find that value there.
Let's go ahead and do it.
So how are we going to do this?
Well, so let's just take a look.
So what is it that we need to do?
I claim that there's only one calculus step, and I'm gonna
put a star here for this tangent line.
I have to understand what the tangent line is.
Once I've figured out what the tangent line is, the rest of
the problem is no longer calculus.
It's just that slope that we need.
So what's the formula for the tangent line?
Put that over here. it's going to be y - y0 is equal to,
and here's the magic number, we already calculated it.
It's in the box over there.
It's -1/x0^2 ( x - x0).
So this is the only bit of calculus in this problem.
But now we're not done.
We have to finish it.
We have to figure out all the rest of these quantities so
we can figure out the area.
All right.
So how do we do that?
Well, to find this point, this has a name.
We're gonna find the so called x-intercept.
That's the first thing we're going to do.
So to do that, what we need to do is to find where
this horizontal line meets that diagonal line.
And the equation for the x-intercept is y = 0.
So we plug in y = 0, that's this horizontal line,
and we find this point.
So let's do that into star.
We get 0 minus, oh one other thing we need to know.
We know that y0 is f(x0) , and f(x) is 1/x , so
this thing is 1/x0.
And that's equal to -1/x0^2.
And here's x, and here's x0.
All right, so in order to find this x value, I have to plug in
one equation into the other.
So this simplifies a bit.
This is -x/x0^2.
And this is plus 1/x0 because the x0 and
x0^2 cancel somewhat.
And so if I put this on the other side, I get x /
x0^2 is equal to 2 / x0.
And if I then multiply through - so that's what this implies -
and if I multiply through by x0^2 I get x = 2x0.
OK, so I claim that this point weve just calculated it's 2x0.
Now, I'm almost done.
I need to get the other one.
I need to get this one up here.
Now I'm gonna use a very big shortcut to do that.
So the shortcut to the y-intercept is to use symmetry.
All right, I claim I can stare at this and I can look at that,
and I know the formula for the y-intercept.
It's equal to 2y0.
All right.
That's what that one is.
So this one is 2y0.
And the reason I know this is the following: so here's the
symmetry of the situation, which is not completely direct.
It's a kind of mirror symmetry around the diagonal.
It involves the exchange of (x, y) with (y, x); so trading
the roles of x and y.
So the symmetry that I'm using is that any formula I get that
involves x's and y's, if I trade all the x's and replace
them by y's and trade all the y's and replace them by x's,
then I'll have a correct formula on the other ways.
So if everywhere I see a y I make it an x, and everywhere I
see an x I make it a y, the switch will take place.
So why is that?
That's just an accident of this equation.
That's because, so the symmetry explained... is that the
equation is y= 1 / x.
But that's the same thing as xy = 1, if I multiply through by
x, which is the same thing as x = 1/y.
So here's where the x and the y get reversed.
OK now if you don't trust this explanation, you can also get
the y-intercept by plugging x = 0 into the equation star.
OK?
We plugged y = 0 in and we got the x value.
And you can do the same thing analogously the other way.
All right so I'm almost done with the geometry problem,
and let's finish it off now.
Well, let me hold off for one second before I finish it off.
What I'd like to say is just make one more tiny remark.
And this is the hardest part of calculus in my opinion.
So the hardest part of calculus is that we call it one variable
calculus, but we're perfectly happy to deal with four
variables at a time or five, or any number.
In this problem, I had an x, a y, an x0 and a y0.
That's already four different things that have various
relationships between them.
Of course the manipulations we do with them are algebraic, and
when we're doing the derivatives we just consider
what's known as one variable calculus.
But really there are millions of variable floating
around potentially.
So that's what makes things complicated, and that's
something that you have to get used to.
Now there's something else which is more subtle, and that
I think many people who teach the subject or use the subject
aren't aware, because they've already entered into the
language and they're so comfortable with it that they
don't even notice this confusion.
There's something deliberately sloppy about the way we
deal with these variables.
The reason is very simple.
There are already four variables here.
I don't wanna create six names for variables or
eight names for variables.
But really in this problem there were about eight.
I just slipped them by you.
So why is that?
Well notice that the first time that I got a formula for y0
here, it was this point.
And so the formula for y0, which I plugged in right here,
was from the equation of the curve. y0 = 1 / x0.
The second time I did it, I did not use y = 1 / x.
I used this equation here, so this is not y = 1/x.
That's the wrong thing to do.
It's an easy mistake to make if the formulas are all a blur to
you and you're not paying attention to where they
are on the diagram.
You see that x-intercept calculation there involved
where this horizontal line met this diagonal line, and y = 0
represented this line here.
So the sloppines is that y means two different things.
And we do this constantly because it's way, way more
complicated not to do it.
It's much more convenient for us to allow ourselves the
flexibility to change the role that this letter plays in
the middle of a computation.
And similarly, later on, if I had done this by this more
straightforward method, for the y-intercept, I would
have set x equal to 0.
That would have been this vertical line, which is x = 0.
But I didn't change the letter x when I did that, because
that would be a waste for us.
So this is one of the main confusions that happens.
If you can keep yourself straight, you're a lot better
off, and as I say this is one of the complexities.
All right, so now let's finish off the problem.
Let me finally get this area here.
So, actually I'll just finish it off right here.
So the area of the triangle is, well it's the base
times the height.
The base is 2x0 the height is 2y0, and a half of that.
So it's 1/2( 2x0)(2y0) , which is (2x0)(y0), which
is, lo and behold, 2.
So the amusing thing in this case is that it actually didn't
matter what x0 and y0 are.
We get the same answer every time.
That's just an accident of the function 1 / x.
It happens to be the function with that property.
All right, so we have some more business today,
some serious business.
So let me continue.
So, first of all, I want to give you a few more notations.
And these are just other notations that people use
to refer to derivatives.
And the first one is the following: we already
wrote y = f(x).
And so when we write delta y, that means the same
thing as delta f.
That's a typical notation.
And previously we wrote f' for the derivative, so
this is Newton's notation for the derivative.
But there are other notations.
And one of them is df/dx, and another one is dy/ dx, meaning
exactly the same thing.
And sometimes we let the function slip down below
so that becomes d / dx (f) and d/ dx(y) .
So these are all notations that are used for the
derivative, and these were initiated by Leibniz.
And these notations are used interchangeably, sometimes
practically together.
They both turn out to be extremely useful.
This one omits - notice that this thing omits- the
underlying base point, x0.
That's one of the nuisances.
It doesn't give you all the information.
But there are lots of situations like that where
people leave out some of the important information, and
you have to fill it in from context.
So that's another couple of notations.
So now I have one more calculation for you today.
I carried out this calculation of the derivative of
the function 1 / x.
I wanna take care of some other powers.
So let's do that.
So Example 2 is going to be the function f(x) = x^n.
n = 1, 2, 3; one of these guys.
And now what we're trying to figure out is the derivative
with respect to x of x^n in our new notation, what
this is equal to.
So again, we're going to form this expression,
delta f / delta x.
And we're going to make some algebraic simplification.
So what we plug in for delta f is ((x
delta x)^n - x^n)/delta x.
Now before, let me just stick this in then
I'm gonna erase it.
Before, I wrote x0 here and x0 there.
But now I'm going to get rid of it, because in this particular
calculation, it's a nuisance.
I don't have an x floating around, which means something
different from the x0.
And I just don't wanna have to keep on writing
all those symbols.
It's a waste of blackboard energy.
There's a total amount of energy, and I've already filled
up so many blackboards that, there's just a limited amount.
Plus, I'm trying to conserve chalk.
Anyway, no 0's.
So think of x as fixed.
In this case, delta x moves and x is fixed in this calculation.
All right now, in order to simplify this, in order to
understand algebraically what's going on, I need to understand
what the nth power of a sum is.
And that's a famous formula.
We only need a little tiny bit of it, called the
binomial theorem.
So, the binomial theorem which is in your text and explained
in an appendix, says that if you take the sum of two guys
and you take them to the nth power, that of course is (x
delta x) multiplied by itself n times.
And so the first term is x^n, that's when all of
the n factors come in.
And then, you could have this factor of delta x
and all the rest x's.
So at least one term of the form (x^(n-1))delta x.
And how many times does that happen?
Well, it happens when there's a factor from here, from the next
factor, and so on, and so on, and so on.
There's a total of n possible times that that happens.
And now the great thing is that, with this alone, all the
rest of the terms are junk that we won't have to worry about.
So to be more specific, there's a very careful
notation for the junk.
The junk is what's called big O((delta x)^2).
What that means is that these are terms of order, so with
(delta x)^2, (delta x)^3 or higher.
All right, that's how.
Very exciting, higher order terms.
OK, so this is the only algebra that we need to do, and now
we just need to combine it together to get our result.
So, now I'm going to just carry out the cancellations
that we need.
So here we go.
We have delta f / delta x, which remember was 1 / delta
x times this, which is this times, now this is (x^n
nx^(n-1) delta x
this junk term) - x^n.
So that's what we have so far based on our
previous calculations.
Now, I'm going to do the main cancellation, which is this.
All right.
So, that's 1/delta x( nx^(n-1) delta x
this term here).
And now I can divide in by delta x.
So I get nx^(n-1)
now it's O(delta x).
There's at least one factor of delta x not two factors of
delta x, because I have to cancel one of them.
And now I can just take the limit.
And the limit this term is gonna be 0.
That's why I called it junk originally,
because it disappears.
And in math, junk is something that goes away.
So this tends to, as delta x goes to 0, nx ^ (n-1).
And so what I've shown you is that d/dx of x to the n minus -
sorry -n, is equal to nx^(n-1).
So now this is gonna be super important to you right on your
problem set in every possible way, and I want to tell you one
thing, one way in which it's very important.
One way that extends it immediately.
So this thing extends to polynomials.
We get quite a lot out of this one calculation.
Namely, if I take d / dx of something like (x^3
5x^10) that's gonna be equal to 3x^2, that's applying
this rule to x^3.
And then here, I'll get 5*10 so 50x^9.
So this is the type of thing that we get out of it, and
we're gonna make more hay with that next time.
Question.
Yes.
I turned myself off.
Yes?
Student: [INAUDIBLE]
Professor: The question was the binomial theorem only works
when delta x goes to 0.
No, the binomial theorem is a general formula which also
specifies exactly what the junk is.
It's very much more detailed.
But we only needed this part.
We didn't care what all these crazy terms were.
It's junk for our purposes now, because we don't happen to need
any more than those first two terms.
Yes, because delta x goes to 0.
OK, see you next time.