In the first part of these notes we consider the problem of calculating the areas of various plane figures. The technique we use for finding the area of a figure will be to construct a sequence of sets contained in , and a sequence of sets containing , such that

- 1.
- The areas of and are easy to calculate.
- 2.
- When is large then both and are in some sense ``good approximations'' for .

In this example, both of the sets and are composed of a finite number of rectangles of width , and from the equation of the circle we can calculate the heights of the rectangles, and hence we can find the areas of and . From the third figure we see that area area . Hence if , then either of the numbers area or area will give the area of the quarter-circle with an error of no more than . This calculation will involve taking many square roots, so you probably would not want to carry it out by hand, but with the help of a computer you could easily find the area of the circle to five decimals accuracy. However no amount of computing power would allow you to get thirty decimals of accuracy from this method in a lifetime, and we will need to develop some theory to get better approximations.

In some cases we can find exact areas. For example, we will show that the area of one arch of a sine curve is , and the area bounded by the parabola and the line is .

However in other cases the areas are not simply expressible
in terms of known numbers. In these cases we define certain numbers
in terms of areas, for example we will define

and for all numbers we will define

Often we consider general classes of figures, in which case we want
to find a simple formula giving areas
for all of the figures in the class.
For example we will express the area of the ellipse bounded by the curve
whose equation is

by means of a simple formula involving and .

The mathematical tools that we develop for calculating areas,
(i.e. the theory of *integration*) have many applications
that seem to have little to do with area. Consider a moving object
that is acted upon by a known force that depends
on the position of the object. (For example, a rocket
propelled upward from the surface of the moon is acted upon
by the moon's gravitational attraction, which is given by

where is the distance from the rocket to the center of the moon, and is some constant that can be calculated in terms of the mass of the rocket and known information.) Then the amount of work needed to move the object from a position to a position is equal to the area of the region bounded by the lines , , and .

Some of the ideas used in the theory of integration are
thousands of years old. Quite a few
of the technical results in the calculations presented
in these notes
can be found in the writings of Archimedes(287-212 B.C.), although
the way the ideas are presented here is not at all like the
way they are presented by Archimedes.

In the second part of the notes we study the idea of *rate of change*.
The ideas used in this section began to become common in
early seventeenth century, and they have no counterpart
in Greek mathematics or physics. The problems considered involve
describing motions of moving objects (e.g. cannon balls or planets),
or finding tangents to curves. An important
example of a rate of change is
*velocity*.
The problem of what is meant by the velocity of a moving
object at a given instant is a delicate one.
At a particular instant of time, the object occupies just one
position in space. Hence during that instant the object does not move.
If it does not move, it is at rest. If it is at rest, then its velocity
must be (?)

The ability to find tangents to curves allows us to find maximum and minimum values of functions. Suppose I want to design a tin can that holds 1000 cc., and requires a minimum amount of tin. It is not hard to find a function such that for each positive number , the total surface area of a can with height and volume is equal to . The graph of has the general shape shown in the figure, and the minimum surface area corresponds to the height shown in the figure. This value corresponds to the point on the graph of where the tangent line is horizontal, i.e. where the slope of the tangent is zero. From the formula for we will be able to find a formula for the slope of the tangent to the graph of at an arbitrary height , and to determine when the slope is zero. Thus we will find .

The tool for solving rate problems is the *derivative*,
and the process of calculating derivatives is called *differentiation*.
(There are two systems of notation working here. The term
*differential* was introduced by Gottfried Leibniz(1646-1716)
to describe a concept that later developed
into what Joseph Louis Lagrange(1736-1813) called the
*derived function*. From Lagrange
we get our word *derivative*, but the older name due
to Leibniz is still used to describe the general theory
- from which differentials in the sense of Leibniz have been banished.)
The idea of derivative (or fluxion or differential)
appears in the work of Isaac Newton(1642-1727)
and of Leibniz, but can be found in various
disguises in the work of a number of earlier mathematicians.

As a rule, it is quite easy to calculate the velocity and acceleration of a moving object, if a formula for the position of the object at an arbitrary time is known. However usually no such formula is obvious. Newton's Second Law states that the acceleration of a moving object is proportional to the sum of the forces acting on the object, divided by the mass of the object. Now often we have a good idea of what the forces acting on an object are, so we know the acceleration. The interesting problems involve calculating velocity and position from acceleration. This is a harder problem than the problem going in the opposite direction, but we will find ways of solving this problem in many cases. The natural statements of many physical laws require the notion of derivative for their statements. According to Salomon Bochner

The mathematical concept of derivative is a master concept, one of the most creative concepts in analysis and also in human cognition altogether. Without it there would be no velocity or acceleration or momentum, no density of mass or electric charge or any other density, no gradient of a potential and hence no concept of potential in any part of physics, no wave equation; no mechanics no physics, no technology, nothing[11, page 276].

At the time that ideas associated with differentiation were being developed,
it was widely recognized that
a logical justification for the subject was completely
lacking. However it was generally agreed that the results of
the calculations based on differentiation
were correct. It took more than a century before
a logical basis for derivatives was developed, and the concepts
of *function* and *real number* and *limit*
and *continuity* had to be developed before the
foundations could be described. The story is probably not
complete. The modern ``constructions'' of
real numbers based on a general theory of ``sets'' appear to me to
be very vague, and more closely related to philosophy than to
mathematics. However in these notes we will not worry about
the foundations of the real numbers. We will assume that they are
there waiting for us to use,
but we will need to discuss the concepts of function, limit
and continuity in order to get our results.

The *fundamental theorem of the calculus* says that the
theory of integration, and the theory of differentiation
are very closely related, and that differentiation techniques
can be used for solving integration problems, and vice versa.
The fundamental theorem is usually credited to Newton and
Leibniz independently, but it can be found in various
degrees of generality in a number of earlier writers. It
was an idea floating in the air, waiting to be discovered
at the close of the seventeenth century.