Multivariable Continuity
Now that we have the topology of higher-dimensional real spaces in hand, we can discuss continuous functions between them. Since these are metric spaces we have our usual definition with and
and all that:
A function
is continuous at
if and only if for each
there is a
so that
implies
.
where the bars denote the norm in one or the other of the spaces or
as depends on context. Again, the idea is that if we pick a metric ball around
, we can find some metric ball around
whose image is contained in the first ball.
The reason why this works, of course, is that metric balls provide a neighborhood base for our topology. But remember that last time we came up with an equivalent topology on using a very different subbase: preimages of neighborhoods in
under projections. Intersections of these pre-images furnish an alternative neighborhood base. Let’s see what happens if we write down the definition of continuity in these terms:
A function
is continuous at
if and only if for each
with all
there is a
so that
implies
for all
.
That is, if we pick a small enough metric ball around its image will fit within the “box” which extends in the
th direction a distance
on each side from the point
.
At first blush, this might be a different notion of continuity, but it really isn’t. From what we did last yesterday we know that both the boxes and the balls provide equivalent topologies on the space , and so they much give equivalent notions of continuity. In a standard multivariable calculus course, we essentially reconstruct this using handwaving about how if we can fit the image of a ball into any box we can choose a box that fits into a selected metric ball, and vice versa.
But why do we care about this equivalent statement? Because now I can define a bunch of functions so that
is the
th component of
. For each of these real-valued functions, I have a definition of continuity:
A function
is continuous at
if and only if for each
there is a
so that
implies
.
So each is continuous if I can pick a
that works with a given
. And if all the
are continuous, I can pick the smallest of the
and use it as a
that works for each component. But then I can wrap the
up into a vector
and use the
I’ve picked to satisfy the box definition of continuity for
itself! Conversely, if
is continuous by the box definition, then I must be able to use that the
for a given vector
to verify the continuity of each
for the given
.
The upshot is that a function from a metric space (generalize this yourself to other metric spaces than
) to
is continuous if and only if each of the component functions
is continuous.

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Handwaving is not necessary – it is easy to prove the equivalence of the two using the Cauchy-Scwarz inequality, which is also easy/quick to prove.