As we have seen, the derivative of a function at a given point gives us the rate of change or slope of the tangent line to the function at that point. If we differentiate a position function at a given time, we obtain the velocity at that time. It seems reasonable to conclude that knowing the derivative of the function at every point would produce valuable information about the behavior of the function. However, the process of finding the derivative at even a handful of values using the techniques of the preceding section would quickly become quite tedious. In this section we define the derivative function and learn a process for finding it.
Derivative Functions
The derivative function gives the derivative of a function at each point in the domain of the original function for which the derivative is defined. We can formally define a derivative function as follows.
A function is said to be differentiable at if
exists. More generally, a function is said to be differentiable on if it is differentiable at every point in an open set and a differentiable function is one in which exists on its domain.
In the next few examples we use The Derivative as a Function to find the derivative of a function.
We use a variety of different notations to express the derivative of a function. In Example 3.12 we showed that if then If we had expressed this function in the form we could have expressed the derivative as or We could have conveyed the same information by writing Thus, for the function each of the following notations represents the derivative of
In place of we may also use Use of the notation (called Leibniz notation) is quite common in engineering and physics. To understand this notation better, recall that the derivative of a function at a point is the limit of the slopes of secant lines as the secant lines approach the tangent line. The slopes of these secant lines are often expressed in the form where is the difference in the values corresponding to the difference in the values, which are expressed as (Figure 3.11). Thus the derivative, which can be thought of as the instantaneous rate of change of with respect to is expressed as

Graphing a Derivative
We have already discussed how to graph a function, so given the equation of a function or the equation of a derivative function, we could graph it. Given both, we would expect to see a correspondence between the graphs of these two functions, since gives the rate of change of a function (or slope of the tangent line to
In Example 3.11 we found that for If we graph these functions on the same axes, as in Figure 3.12, we can use the graphs to understand the relationship between these two functions. First, we notice that is increasing over its entire domain, which means that the slopes of its tangent lines at all points are positive. Consequently, we expect for all values of in its domain. Furthermore, as increases, the slopes of the tangent lines to are decreasing and we expect to see a corresponding decrease in We also observe that is undefined and that corresponding to a vertical tangent to at

In Example 3.12 we found that for The graphs of these functions are shown in Figure 3.13. Observe that is decreasing for For these same values of For values of is increasing and Also, has a horizontal tangent at and

Derivatives and Continuity
Now that we can graph a derivative, let’s examine the behavior of the graphs. First, we consider the relationship between differentiability and continuity. We will see that if a function is differentiable at a point, it must be continuous there; however, a function that is continuous at a point need not be differentiable at that point. In fact, a function may be continuous at a point and fail to be differentiable at the point for one of several reasons.
Proof
If is differentiable at then exists and
We want to show that is continuous at by showing that Thus,
Therefore, since is defined and we conclude that is continuous at
□
We have just proven that differentiability implies continuity, but now we consider whether continuity implies differentiability. To determine an answer to this question, we examine the function This function is continuous everywhere; however, is undefined. This observation leads us to believe that continuity does not imply differentiability. Let’s explore further. For
This limit does not exist because
See Figure 3.14.

Let’s consider some additional situations in which a continuous function fails to be differentiable. Consider the function
Thus does not exist. A quick look at the graph of clarifies the situation. The function has a vertical tangent line at (Figure 3.15).

The function also has a derivative that exhibits interesting behavior at We see that
This limit does not exist, essentially because the slopes of the secant lines continuously change direction as they approach zero (Figure 3.16).

In summary:
- We observe that if a function is not continuous, it cannot be differentiable, since every differentiable function must be continuous. However, if a function is continuous, it may still fail to be differentiable.
- We saw that failed to be differentiable at because the limit of the slopes of the tangent lines on the left and right were not the same. Visually, this resulted in a sharp corner on the graph of the function at From this we conclude that in order to be differentiable at a point, a function must be “smooth” at that point.
- As we saw in the example of a function fails to be differentiable at a point where there is a vertical tangent line.
- As we saw with a function may fail to be differentiable at a point in more complicated ways as well.
Higher-Order Derivatives
The derivative of a function is itself a function, so we can find the derivative of a derivative. For example, the derivative of a position function is the rate of change of position, or velocity. The derivative of velocity is the rate of change of velocity, which is acceleration. The new function obtained by differentiating the derivative is called the second derivative. Furthermore, we can continue to take derivatives to obtain the third derivative, fourth derivative, and so on. Collectively, these are referred to as higher-order derivatives. The notation for the higher-order derivatives of can be expressed in any of the following forms:
It is interesting to note that the notation for may be viewed as an attempt to express more compactly. Analogously,
Key Concepts
- The derivative of a function is the function whose value at is
- The graph of a derivative of a function is related to the graph of Where has a tangent line with positive slope, Where has a tangent line with negative slope, Where has a horizontal tangent line,
- If a function is differentiable at a point, then it is continuous at that point. A function is not differentiable at a point if it is not continuous at the point, if it has a vertical tangent line at the point, or if the graph has a sharp corner or cusp.
- Higher-order derivatives are derivatives of derivatives, from the second derivative to the derivative.
Key Equations
| The derivative function |