
C h a p t e r 5
Continuity and Differentiability
In general, there’s only one special thing about the graph of a function: it just
has to obey the vertical line test. That’s not particularly exclusive. The graph
could be all over the place—a little bit here, a vertical asymptote there, or
any number of individual disconnected points wherever the hell they feel like
being. So now we’re going to see what happens if we’re a little more exclusive:
we want to look at two types of smoothness. First, continuity: intuitively, this
means that the graph now has to be drawn in one piece, without taking the
pen off the page. Second, differentiability: the intuition here is that there are
no sharp corners in the graph. In both cases, we’ll do a lot better job with
the definition, and we’ll see some of the things you can expect to get from
functions with these special properties. In detail, this is what we’ll look at in
this chapter:
• continuity at a point, and over an interval;
• some examples of continuous functions;
• the Intermediate Value Theorem for continuous functions;
• maxima and minima of continuous functions;
• displacement, average velocity, and instantaneous velocity;
• tangent lines and derivatives;
• second and higher-order derivatives; and
• the relationship between continuity and differentiability.
5.1 Continuity
We’ll start off by looking at what it means for a function to be continuous.
As I said above, the intuition is that you can draw the graph of the function
in one piece, without lifting your pen off the page. This is all very well for
something like y = x
2
, which is all in one piece; but it’s a little unfair for
something like y = 1/x. This would have had a graph in one piece except
for the vertical asymptote at x = 0, which breaks it into two. In fact, if
f(x) = 1/x, then we want to say that f is continuous everywhere except at