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More Measure Theory in
In this section we show that a good theory of measurable functions and
measurable sets can be developed within
.
We first consider pointwise values of measurable functions. Our
approach is due to Yu [21,24].
Let X be a compact separable metric space and let
be a positive Borel probability measure on X. Recall that
is defined within
as the completion of C(X)under the L1-norm. In what sense or to what extent can we prove
that a point of the Banach space
gives rise to a function
?
In order to answer this question, recall that
is
given by a sequence
,
,
which converges to fin the L1-norm; more precisely
for all
.
We now observe that it is provable
in
that the sequence of continuous functions fn,
,
converges pointwise almost everywhere. This is established
by the following proposition:
Proposition 4.1 (Yu [
21])
Provably in

we have a sequence of closed sets
such that
for all
n, and
for all

and all
m,
m',
k such that

.
Proof. Put
Then for
and
we have
Moreover Cfn is a closed set. It remains to show that
.
To see this, note that
where
We need
a lemma:
Lemma 4.2
The following is provable in

.
For

and

,
we have

.
Proof. Put
.
Note that U is an open set.
If
,
,
g=0 on
,
then we
have
,
hence
,
hence
.
Thus
and the lemma is proved.
Using this lemma we have
hence by countable additivity
This completes the proof of Proposition 4.1.
Remark 4.3 (Yu [
21])
In accordance with Proposition
4.1, for
and

,
we define

.
Thus we see that
f(
x) is defined
on an

set of measure 1. Moreover, if
f=
g in

,
i.e. if

,
then
f(
x)=
g(
x) for all
x in an

set of measure 1. These facts are provable
in

.
We now turn to a discussion of measurable sets within
.
We
sketch two approaches to this topic. Our first approach is to
identify measurable sets with their characteristic functions in
,
according to the following definition.
Definition 4.4
This definition is made within

.
We say that

is a
measurable characteristic function if there
exists a sequence of closed sets
such that

for all
n, and

for all

.
Here
f(
x) is as defined in Remark
4.3.
Our second approach is more direct, but in its present form it applies
only to certain specific situations. For concreteness we consider
only Lebesgue measure
on the unit interval [0,1]. Our
discussion can easily be extended to Lebesgue measure on the n-cube
[0,1]n, the ``fair coin'' measure on the Cantor space
,
etc.
Definition 4.5
The following definition is made within

.
Let
S be the
Boolean algebra of finite unions of intervals in [0,1] with
rational endpoints. For
E1,

we define the distance
the Lebesgue measure of the symmetric difference of
E1 and
E2. Thus
d is a pseudometric on
S, and we define

to be the compact separable metric space which is the
completion of
S under
d. A point

is called a
Lebesgue measurable set in [0,1].
We shall show that these two approaches to measurable sets
(Definitions 4.4 and 4.5) are equivalent in
.
Begin by defining an isometry
as follows.
For
define
where
fn(0)=fn(a)=fn(b)=fn(1)=0 and
and
is piecewise linear otherwise. Thus
is a
measurable characteristic function corresponding to the interval
[a,b]. For
define
It is straightforward to
prove in
that
extends to an isometry
Proposition 4.6
The following is provable in

.
If

is a
Lebesgue measurable set, then

is a measurable
characteristic function in
![$L_1([0,1],\mu_L)$](img182.gif)
.
Conversely, given a
measurable characteristic function
![$f\in L_1([0,1],\mu_L)$](img183.gif)
,
we can
find

such that

in
![$L_1([0,1],\mu_L)$](img182.gif)
.
Proof. It is straightforward to prove in
that for all
,
is a measurable
characteristic function.
For the converse, let f be a measurable characteristic function.
By Definition 4.4 we have that
for all
.
By Proposition 4.1 we
have
|f(x)-f3n+3(x)|<1/2n for all
.
Put
and
.
Then for
,
Un and
Vn are disjoint open sets. Moreover
,
hence
.
By
countable additivity (Theorem 3.3) we can effectively find
such that
and
and
.
Put
.
It is straightforward to show that E belongs to
and that
in
.
This completes the proof.
Remark 4.7
We have presented two notions of Lebesgue measurable set and shown
that they are equivalent in

.
Our first notion (Definition
4.4) has the advantage of generality in that it applies
to any measure on a compact separable metric space. Our second
notion (Definition
4.5) is advantageous in other ways,
namely it is more straightforward and works well in

.
It
would be desirable to find a single definition which combines all of
these advantages.
Next: Vitali's Theorem
Up: Vitali's Theorem and WWKL
Previous: Measure Theory in
Stephen G Simpson
1998-10-25