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I have a handout for you to consider now, regarding this graph.
We see the derivative (thought of as a slope) at four separate points (A, B, C, and P). At three of these points we see that the slope (and hence the derivative) is zero. These are especially important points, since, as you can see, the function achieves its extreme values on a local level at these points. That's something we are often interested in -- when is a function at its peak or pit?
One of the local peaks or pits may be global as well, and if we were looking for the place along the $x$-axis where the minimum of the function occurs, we might guess $x=3$. There may be no maximum, as the values of the function on the boundary are largest (that we can see).
We can see, however, that the slope is perfectly well defined everywhere for this function (with the possible exception of the end points, where the graph disappears, and we won't have limits from left and right). Now let's see how to draw a rough approximation to the derivative function in this case.
How well can you recognize derivatives and the functions that give rise to them? Let's try #3, p. 122.
Now I'd like to use the definition of the derivative function,
\[ f^\prime(x) = \lim_{h \to 0} \frac{f(x+h)-f(x)}{h} \]
to determine the derivative functions of these important functions:
If a function's derivative is another function, does that function have a derivative?
The derivative of the derivative of a function is called the second derivative of the function. And how do we interpret these "higher derivatives" in the context of a motion?
Let's think of a quadratic motion, e.g. the motion of an eraser thrown across the room. Let s be the height of the eraser:
$s(t)=at^2+bt+c$
Each of the coefficients has an important, intuitive role to play:
\[ f^\prime(x) = \frac{dy}{dx} = \frac{d}{dx}\left(f(x)\right)=\left(f(x)\right)'=\lim_{h \to 0} \frac{f(x+h)-f(x)}{h} \]
There are several different ways of writing the derivative, and you need to get used to them. The third and fourth forms remind us that differentiation is itself a function: it takes a function in its domain and returns another function in its range -- the derivative function.