Simple and Elementary Functions
We now introduce two classes of functions that are very easy to work with. As usual, we’re working in some measurable space .
First, we have the “simple functions”. Such a function is described by picking a finite number of pairwise disjoint measurable sets and a corresponding set of finite real numbers
. We use these to define a function by declaring
if
, and
if
is in none of the
. The very simplet example is the characteristic function
of a measurable function
. Any other simple function can be written as
Any simple function is measurable, for the preimage is the union of all the
corresponding to those
, and is thus measurable.
It’s straightforward to verify that the product and sum of any two simple functions is itself a simple function — given functions and
, we have
and
. It’s even easier to see that any scalar multiple of a simple function is simple —
. And thus the collection of simple functions forms a subalgebra of the algebra of measurable functions.
“Elementary functions” are similar to simple functions. We slightly relax the conditions by allowing a countably infinite number of measurable sets and corresponding values
.
Now, why do we care about simple functions? As it happens, every measurable function can be approximated by simple functions! That is, given any measurable function we can find a sequence
of simple functions converging pointwise to
.
To see this, first break up into its positive and negative parts
and
. If we can approximate any nonnegative measurable function by a pointwise-increasing sequence of nonnegative simple functions, then we can approximate each of
and
, and the difference of these series approximates
. So, without loss of generality, we will assume that
is nonnegative.
Okay, so here’s how we’ll define the simple functions :
That is, to define we chop up the nonnegative real numbers
into
chunks of width
, and within each of these slices we round values of
down to the lower endpoint. If
, we round all the way down to
. There can only ever be
values for
, and each of these corresponds to a measurable set. The value
corresponds to the set
while the value corresponds to the set
. And thus
is indeed a simple function.
So, does the sequence converge pointwise to
? Well, if
, then
for all
. On the other hand, if
then
; after this point,
and
are both within a slice of width
, and so
. And so given a large enough
we can bring
within any desired bound of
. Thus the sequence
increases pointwise to the function
.
But that’s not all! If is bounded above by some integer
, the sequence
converges uniformly to
. Indeed, once we get to
, we cannot have
for any
. That is, for sufficiently large
we always have
. Given an
we pick an
so that both
and
, and this
will guarantee
for every
. That is: the convergence is uniform.
This is also where elementary functions come in handy. If we’re allowed to use a countably infinite number of values, we can get uniform convergence without having to ask that be bounded. Indeed, instead of defining
for
, just chop up all positive values into slices of width
. There are only a countably infinite number of such slices, and so the resulting function
is elementary, if not quite simple.