As mentioned earlier in the section, the concepts of slope and the more general rates of change are important concepts not just in Mathematics, but also in other fields. Many important phenomena are modeled using non-linear functions, and while the rates of change of these functions are not constant, we can sample the function at two points and compute what is known as an average rate of change between them to give some sense as to the function’s behavior over that interval.

As with Definitions absmaxmindefn and incdeccnstdefn, the wording in Definition arc, while referring to the function \(f\), is really making a statement about its outputs \(f(x)\).

If \(f\) is increasing over \([a,b]\), then the average rate of change will be positive. Likewise, if \(f\) is decreasing or constant, the average rate of change will be negative or \(0\), respectively. (Think about this for a moment.) However, as the next example demonstrates, the converses of these statements aren’t always true.

An important lesson from the last example is that average rates of change give us a snapshot of what is happening at the endpoints of an interval, but not necessarily what happens over the course of the interval. Calculus gives us tools to compute slopes at points which correspond to instantaneous rates of changes. While we don’t quite have the machinery to properly express these ideas, we can hint at them in the Exercises. Speaking of exercises …