
The First Topological Spaces 65
f transforms U(x
1
, δ) into V( f(x
1
), ε), then f is continuous at the
point x
1
. This is just Hausdorff’s definition of continuity. If, on the
other hand, we start with Hausdorff’s definition of continuity and
we assume f is continuous according to Hausdorff, we can prove
that f must also be continuous according to Bolzano’s definition of
continuity. (The proof is obtained by reading this paragraph, more
or less, backward!) The advantage of Hausdorff’s definition is that
it works for a larger class of spaces than does Bolzano’s.
It is worth noting that there are no computations in Hausdorff’s
work. This is characteristic of topology, which is concerned with
the most basic properties of sets. The sets may consist of num-
bers, or geometric points, or functions, or dots with curves drawn
around them, as in Example 4.8 of this section. Although topology
grew out of geometry—at least in the sense that it was initially
concerned with sets of geometric points—it quickly evolved to
include the study of sets for which no geometric representation is
possible. This does not mean that topological results do not apply
to geometric objects. They do. Instead, it means that topological
results apply to a very wide class of mathematical objects, only
some of which have a geometric interpretation.
Finally, it is important to point out that not all the ideas
described in this section originated with Felix Hausdorff. As with
most acts of discovery, there were others who prepared the way,
but Hausdorff was a pioneer in the subject. He examined many
mathematical “objects,” such as the real number line, various sub-
sets of the line, the plane, various subsets of the plane, and so on,
and from these many examples he created abstract models of these
not-quite-as-abstract spaces. The models were created to retain
those properties of the spaces that were important to Hausdorff.
This sort of mathematical modeling is another way of understand-
ing what it is that mathematicians do when they do mathematics.
Much of mathematics can be understood as “model building.” In
some cases, this is obvious. Applied mathematicians, for example,
routinely describe their work as mathematical modeling. They
“model” the flow of air over a wing, the impact of a country’s
national debt on the future growth of its economy, the spread of
disease throughout a population, and so forth. They make certain