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THE DERIVATIVE

The two central concepts of calculus are the concepts of the derivative and the integral. The roots of these concepts go back to the work of Galileo and others who performed experiments involving rolling balls down inclined planes and dropping objects from heights in attempts to discover basic laws of nature. The experiments revealed that when balls roll down an inclined plane their speed increases as they roll. Let us repeat one of Galileo’s experiments. Raise one end of a board so that it is just steep enough to cause a ball to roll down it at the rate of 1 foot in the first second. The apparatus is shown in Fig. 1. As the ball rolls down the board, we note its position at one second intervals. The data obtained is shown in Fig. 2. From the table we see that the average speed during the first second was 1 ft/sec, the average speed during the second second was 3 ft/sec, the average speed during the third second was 5 ft/sec, etc. Experiments such as these were done with varying slopes for the inclined plane and when the angle was increased to 90 degrees the experiment gave the limiting case of free-fall.

These experiments forced Galileo and his contemporaries to deal, in their analysis, with speeds that vary with time, changing from moment to moment. That is, it forced them to deal with problems involving nonuniform motion. The experiments raised questions like: If the speed is continually changing, how does one determine the speed at a particular point in time? How do you compute distance traveled when you have a speed that is constantly varying? How do you analyze problems mathematically with a speed that is varying from one moment to the next? How do you describe such problems mathematically? How do you think about such problems? In fact, the answer to the first question goes directly to the heart of the concept of the derivative and the answer to the second question goes directly to the heart of the concept of the integral.

So let us ask, “How do you determine the speed of something at a particular instant of time? We have a basic formula that relates time, speed, and distance traveled in

or, more concisely,

where s is the speed and Δd is the distance traveled over the time interval Δt.

If a bee flies 20 feet in 10 seconds, his average speed is 2 ft/sec over the 10 second period. If we
observe the distance he travels over a 1 second interval instead of a 10 second interval and
observe that he went 1.8 feet in one second, then his average speed was 1.8 ft/sec in that second
during which he was observed. If we keep reducing the interval size Δt over which he is
observed to 0.1 sec, .01 sec, etc. we get closer and closer to his instantaneous speed. In other
words, his instantaneous speed_{ }s_{i} is given
by

Let us suppose we attach a GPS device to
a mountain lion that allows us to track his
position over the course of a period of
time. Assume we have rigged it to act as
a kind of odometer which feeds us
distance traveled as a function of time,
starting with some initial time t = 0. Let
us now plot the distance traveled vs. time
and ask ourselves what his speed is at
some particular time t = t_{0}. See Fig. 3. The plot shows the distance traveled d as a function of
time, t i.e. a plot of d = d(t). We will
now compute his speed at time t_{0} using
formula 1). We define

d_{0} = d(t_{0})

d_{1} = d(t_{1})

where d_{0} represents the distance
traveled at time t_{0} and d_{1} represents the
distance traveled at time t_{1}.

See Fig. 4.

Then

Δd = d_{1} - d_{0} = d(t_{1}) - d(t_{0})

Δt = t_{1} - t_{0}

and the instantaneous speed s_{i} at time t_{0} is

Thus we have the expression for the instantaneous speed at time t_{0} when distance traveled is
given as a function of time as d = d(t).

Note in Fig. 4 that as Δt approaches zero point P_{1} approaches point P_{0} and the line P_{0}P_{1} becomes,
in the limit, the tangent line to the curve at point t = t_{0}. Thus the instantaneous speed at point t =
t_{0} is equal to the slope of the tangent line at point t = t_{0}.

Galileo and his contemporaries derived the above formula for the instantaneous speed at a point and then applied the same reasoning and formula to find the instantaneous acceleration at a point. They regarded speed as the function varying with time, used s = s(t) instead of d = d(t), and, applying the same logic, arrived at

where a_{i} is the instantaneous acceleration at point t_{0}.

We are now ready to present the definition of the derivative of a function.

Def. Derivative of a function y = f(x). The derivative of a function y = f(x) with respect to x at
the point x = x_{0} is defined as

provided that limit exists. See Fig. 5.

It will be observed that this equation is identical to 2). The only difference is that the variables of 2) have been replaced by x and y. Thus we see that the definition of the derivative is a direct outgrowth of 2). It is, in fact, a generalization of 2) in which the independent variable is allowed to be anything, not just time, and the dependent variable is also allowed to be anything. Equations 2) and 3) then becomes special cases of 4), particular applications of 4). By making this generalization from 2) to 4) in which the independent and dependent variables can be anything, the derivative finds application in many branches of science. It is used extensively in physics and chemistry and in many other fields.

In Galileo’s time they were applying formula 2) to various quantities viewed as functions of time
e.g. distance traveled, speed, probably other things. However, viewing things other than time as
the independent variable probably required some jump of intellect. It was probably a matter of
some time before this generalization was made. Why? Because time varies in a natural way.
Other variables don’t. It is natural to view time as a variable. It is not natural to view other
variables as varying. It is not natural to think of the radius r in the formula A = π r^{2} as an
independent variable that can vary.
That idea took a jump of intellect.

The derivative of a function y = f(x) at
a point x = x_{0} represents the
instantaneous rate of change of the
function f(x) with respect to the
independent variable x at the point x_{0}.
It is equal to the slope of the tangent to
the function at point x = x_{0}. In other
words, dy/dx = tan θ where θ is the
angle between the tangent to the
function at x = x_{0} and the x axis. See
Fig. 6.

The definition of the derivative of a function is usually given in a slightly different form from what we have given in 4) above. It is:

Def. Derivative of a function y = f(x). The derivative of a function y = f(x) with respect to x is

provided that limit exists.

In this definition x corresponds to x_{0} of 4) above and the derivative is evaluated at point “x”.

The derivative of a function y = f(x) is itself a function and is denoted by such symbols as

The derivative, evaluated at a point a, is written

Finding derivatives.

Problem. Find the derivative of the function y = x^{2} + 3x + 5.

Solution. Using 5) above

f(x + Δx) = (x + Δx)^{2} + 3(x + Δx) + 5 = x^{2} + 2xΔx + Δx^{2} + 3x + 3Δx + 5

f(x) = x^{2} + 3x + 5

f(x + Δx) - f(x) = (2x + 3)Δx + Δx^{2}

The procedure just illustrated is the general procedure used in finding derivatives. But it is the long and hard way. We will learn that this procedure has been used to find general formulas for differentiating functions. Using the derived formulas makes the process of differentiating functions much easier than going through the above process each time.

References.

Dull, Metcalfe, Brooks.

Modern Physics. pp. 169 - 170

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