Associated Metric Spaces and Absolutely Continuous Measures II
Yesterday, we saw that an absolutely continuous finite signed measure on a measure space
defines a continuous function on the associated metric space
, and that a sequence of such finite signed measures that converges pointwise is actually uniformly absolutely continuous with respect to
.
We’re going to need to assume that is nonnegative. We’d usually do this by breaking
into its positive and negative parts, but it’s not so easy to get ahold of the positive and negative parts of
in this case. However, we can break each
into
and
. Then we can take the limits
and
, which will still satisfy
. The only difference between this decomposition and the positive and negative parts is that this pair of set functions might have some redundancy that gets cancelled off in this subtraction. And so, without loss of generality, we will assume that all the
are nonnegative, and that their limit
is as well.
Now, given such a sequence, define the limit function . I say that
is itself a finite signed measure, and that
. Indeed,
is finite by assumption, and additivity is easy to check. As for absolute continuity, if
, then each
since
, and so
as the limit of the constant zero sequence.
What we need to check is continuity. We know that it suffices to show that is continuous from above at
. So, let
be a decreasing sequence of measurable sets whose limit is
. We must show that the limit of
is zero. But we know that the limit of
is zero, and thus for a large enough
we can make
for any given
. And since
we know that for any
there is some
so that if
then
. Thus we can always find a large enough
to guarantee that
, and so the limit is zero, as asserted.
Finally, what happens if we remove the absolute continuity requirement from the ? That is: what can we say if
is a sequence of finite signed measures on
so that
exists and is finite for each
. I say that
is a signed measure. What we need is to find some measure
so that all the
, and then we can use the above result.
Since is a finite signed measure, we can pick some upper bound
. Then we define
If any , then
, and so
. And thus
for all
, as desired.