Nathan Wakefield, Christine Kelley, Marla Williams, Michelle Haver, Lawrence Seminario-Romero, Robert Huben, Aurora Marks, Stephanie Prahl, Based upon Active Calculus by Matthew Boelkins
We now know that the instantaneous rate of change of a function at , or equivalently the slope of the tangent line to the graph of at , is given by the value . In all of our examples so far, we have identified a particular value of as our point of interest: ,, etc. But it is not hard to imagine that we will often be interested in the derivative value for more than just one -value, and possibly for many of them. In this section, we explore how we can move from computing the derivative at a single point to computing a formula for at any point . Indeed, the process of “taking the derivative” generates a new function, denoted by , derived from the original function .
Example1.60.
Consider the function .
Use the limit definition of the derivative to compute the derivative values: ,,, and .
Observe that the work to find is the same, regardless of the value of . Based on your work in (a), what do you conjecture is the value of ? How about ? (Note: you should not use the limit definition of the derivative to find either value.)
Conjecture a formula for that depends only on the value . That is, in the same way that we have a formula for (recall ), see if you can use your work above to guess a formula for in terms of .
Hint.
Is there a pattern with the four values you found in (a)?
Based on (a) and (b), what type of familiar function might the derivative be? What do formulas for this type of function look like?
Answer.
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Solution.
Since and , we can say that
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Since and
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we can say that
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Similar work shows that and .
In part (a), each time we increased the input value by , the derivative value decreased by . This leads us to believe that and , assuming the linear pattern continues.
The derivative values seem to fit a linear pattern, with a slope of and a -intercept of . A reasonable formula for , then, is .
In your work in Example 1.60 with , you may have found several patterns. One comes from observing that ,,, and . That sequence of values leads us naturally to conjecture that and . We also observe that the particular value of has very little effect on the process of computing the value of the derivative through the limit definition. To see this more clearly, we compute where is a variable — that is, represents a number to be named later. Following the now standard process of using the limit definition of the derivative,
This result is consistent with the specific values we found above: e.g., . And indeed, our work confirms that the value of has almost no bearing on the process of computing the derivative. We note further that the letter being used is immaterial: whether we call it ,, or anything else, the derivative at a given value is simply given by “4 minus 2 times the value.” We choose to use for consistency with the original function given by , as well as for the purpose of graphing the derivative function. For the function , it follows that .
Because the value of the derivative function is linked to the graph of the original function, it makes sense to look at both of these functions plotted on the same domain.
The left half of Figure 1.61 above shows a plot of , where , together with a selection of tangent lines at the points we considered in Example 1.60. The right half of the figure shows a plot of , where , with emphasis on the -coordinates of the derivative graph at the same selection of points. Notice the connection between colors in the left and right graphs: the green tangent line on the original graph is tied to the green point on the right graph in the following way: the slope of the tangent line at a point on the left-hand graph is the same as the -value at the corresponding point on the right-hand graph. That is, at each respective value of , the slope of the tangent line to the original function is the same as the output of the derivative function. Do note, however, that the units on the vertical axes are different: in the left graph, the vertical units are simply the output units of . On the righthand graph of , the units on the vertical axis are units of per unit of .
An excellent way to explore how the graph of generates the graph of is through a java applet. See, for instance, the applets at http://gvsu.edu/s/5C 25
When we first defined the derivative in Section 1.4, we wrote the definition in terms of a value to find . As we have seen above, the letter is merely a placeholder and it often makes more sense to use instead. For the record, here we restate the definition of the derivative.
Both of these issues are explored in the following examples.
Example1.62.
Below you will find the graphs of eight different functions, each on a grid with scale . For each given graph, sketch an approximate graph of its derivative function on the axes immediately below. Assume the horizontal scale of the grid for each derivative graph is identical to that for the original function. If necessary, adjust the vertical scale on the axes for the graphs of each derivative. Label all axes (vertical and horizontal) with the scales you use.
When you are finished with all eight graphs, write several sentences that describe your overall process for sketching the graph of the derivative function given the graph of the original function. What are the values of the derivative function that you tend to identify first? What do you do thereafter? How do key traits of the graph of the derivative function exemplify properties of the graph of the original function?
Hint.
Points where the slope of the tangent line is equal to zero are particularly important. Try finding these points first and plotting those zero values on the axes where you’ll graph .
Answer.
Solution.
The graphs of each given function with its derivative are shown below. In graphing each derivative, it was easiest to first identify the points of horizontal tangency on the original graph in order to plot the zeros of the derivative. From there, we identified intervals where the original function was increasing (or decreasing), and plotted positive (or negative) values for the derivative on those same intervals. We ensured that the derivative values had larger magnitude at those points where the original graph had the steepest slope. In the case where the original graph had a corner or a cusp, we placed a jump discontinuity in the derivative graph. Asymptotic behavior of the original function also was reflected in the graph of the corresponding derivative function.
Now, recall the opening example of this section: we began with the function and used the limit definition of the derivative to show that , or equivalently that . We subsequently graphed the functions and in Figure 1.61. Following Example 1.62, we now understand that we could have constructed a fairly accurate graph of without knowing a formula for either or . Even so, it is useful to know a formula for the derivative function whenever it is possible to find one.
In the next example, we further explore the more algebraic approach to finding a derivative: given a formula for , the limit definition of the derivative will be used to develop a formula for .
Example1.63.
For each of the listed functions, determine a formula for the derivative function. For the first two, determine the formula for the derivative by thinking about the nature of the given function and its slope at various points; do not use the limit definition. For the latter four, use the limit definition. Pay careful attention to the function names and independent variables. It is important to be comfortable with using letters other than and . For example, given a function , we call its derivative .
Hint.
What is the slope of the function at every point?
What is the slope of the function at every point?
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; you may find it useful to recall that
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Answer.
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Solution.
The instantaneous rate of change of a linear function at a given point is the same regardless of the point chosen. This is because linear functions have a constant slope, so any tangent line to a linear function coincides with the function itself (i.e., they are the same line). In this case, because the slope of the tangent line to the horizontal line given by is zero at every value of .
because the slope of the tangent line to the line given by is at every value of .
The limit definition of the derivative, , produces a value for each at which the derivative is defined, and this leads to a new function . It is especially important to note that taking the derivative is a process that starts with a given function and produces a new, related function .
There is essentially no difference between writing (as we did regularly in Section 1.4) and writing . In either case, the variable is just a placeholder that is used to define the rule for the derivative function.
Given the graph of a function , we can sketch an approximate graph of its derivative by observing that -coordinates on the derivative’s graph correspond to slopes on the original function’s graph.
In Example 1.62, we encountered some functions that had sharp corners on their graphs, such as the shifted absolute value function. At such points, the derivative fails to exist, and we say that is not differentiable there. For now, it suffices to understand this as a consequence of the jump that must occur in the derivative function at a sharp corner on the graph of the original function.
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(Note that you can click on the graph to get a larger version of it, and that it may be useful to print that larger version to be able to work with it by hand.)
Carefully sketch the derivative function of the given function (you will want to estimate values on the derivative function at different values as you do this). Use your derivative function graph to estimate the following values on the derivative function.
(In the first answer blank, fill in the numerator of the difference quotient you use to evaluate the derivative. In the second, fill out the derivative you obtain after completing the limit calculation.)
For the function shown in the graph below, sketch a graph of the derivative. You will then be picking which of the following is the correct derivative graph, but should be sure to first sketch the derivative yourself.
Let be a function with the following properties: is differentiable at every value of (that is, has a derivative at every point), , and ,,,, and .
On the axes provided at left in Figure 1.64, sketch a possible graph of . Explain why your graph meets the stated criteria.
Conjecture a formula for the function . Use the limit definition of the derivative to determine the corresponding formula for . Discuss both graphical and algebraic evidence for whether or not your conjecture is correct.
Let be a continuous function (that is, one with no jumps or holes in the graph) and suppose that a graph of is given by the graph on the right in Figure 1.65.
Figure1.65.Axes for plotting and, at right, the graph of .
Observe that for every value of that satisfies , the value of is constant. What does this tell you about the behavior of the graph of on this interval?
On what intervals other than do you expect to be a linear function? Why?
At which values of is not defined? What behavior does this lead you to expect to see in the graph of ?
Suppose that . On the axes provided at left in Figure 1.65, sketch an accurate graph of .
For each graph that provides an original function in Figure 1.66, your task is to sketch an approximate graph of its derivative function, , on the axes immediately below. View the scale of the grid for the graph of as being , and assume the horizontal scale of the grid for the graph of is identical to that for . If you need to adjust the vertical scale on the axes for the graph of , you should label that accordingly.
Figure1.66.Graphs of and grids for plotting the corresponding graph of .