Homepage › Solution manuals › Terence Tao › An Introduction to Measure Theory › Exercise 1.5.3 (Convergence for step functions)
Exercise 1.5.3 (Convergence for step functions)
Let be a measurable set. Let be a sequence of functions defined by
for measurable sets of
non-zero measure and some
positive reals which either
converge to zero () or are
bounded away from zero (
such that ).
Establish the following claims:
- (i)
- converges uniformly to zero if and only if as .
- (ii)
- converges in norm to zero if and only if as .
- (iii)
- converges almost uniformly to zero if and only if as or as .
- (iv)
- converges pointwise to zero if and only if as or .
- (v)
- converges pointwise almost everywhere to zero if and only if as or is a null set.
- (vi)
- converges in measure to zero if and only if as or as .
- (vii)
- converges in norm to zero if and only if as .
Answers
- (i)
- First, suppose that
uniformly converges to zero, i.e., for every
we have
there exists a
such that for all
it is true that .
In particular, set ,
and choose an .
Then
should also be less that ,
and so .
Conversely, suppose that . Then for any and any we either have for which we have a such that it is , and so is . - (ii)
- Suppose that
converges to 0 almost everywhere uniformly. In particular, it converges
uniformly on
for some null set ,
and so
by the previous part.
Conversely, if as , then converges to 0 uniformly by part (i) of this exercise, and thus, in particular it converges uniformly almost everywhere to 0. - (iii)
- Suppose that
converges to
almost uniformly, i.e., for every
there exists a set
such that
and
converges to
uniformly. Again, by part (i) we trivially have
as a consequence of choosing any arbitrary .
Conversely, suppose that . Then converges to uniformly, in particular, almost uniformly. - (iv)
- Suppose that
converges to 0 pointwise, i.e., for all
we have .
Notice that we have two cases. (1)
converges to
for all .
In the case of the indicator function, this is equivalent to saying that for all
it is true that
for all
after some .
In other words, for each
there exists a
such that .
But this would imply that ,
as desired. Thus, we at least have the vanishing of the support. (2) In the
second case, suppose that there exists a
for which
does not converge to zero. In the case of the indicator function, this is
equivalent to saying that for infinitely many
we have .
But for any
we can find a
such that for all :
.
This is only possible when
for all ,
and so we get .
Now suppose conversely that either or . In the first case, converges to 0 uniformly by part (i), and so it converges to zero pointwise. In the latter case, we haveand so for any . From this, we easily conclude that for any .
- (v)
- Suppose that
converges pointwise almost everywhere to 0, i.e., for a null set
we have
converges pointwise everywhere to
on .
By the previous part, this has one (also maybe both) of the two implications.
(1)
as ,
as desired. (2) For
we have ,
or in other words, taking unions from both sides we obtain ,
for the null set ,
as desired.
Now suppose conversely one of the opposite statements. In case of , converges to 0 pointwise by the previous part. Now suppose that is a null set. Then pretty straigthforwardly it follows that , which is almost everywhere. - (vi)
- Suppose that
converges to 0 in measure, i.e., for any arbitrary
we have
Suppose for the sake of contradiction that both is bounded away from zero, and that . Set . We then have
The last term does not converge to 0 as - a contradiction.
Fix an arbitrary in and suppose conversely that . Then, for our we can find a such that for all (and for all ) we have , making the set eventually empty.
Now suppose that as . Notice that by positivity of for any we have , alas - (vii)
- Suppose that
converges to
in -norm.
By Exercise 1.5.2 this implies that
converges to
in measure, and thus both
and
converge to ,
meaning their product converges to
as well.
Conversely, suppose that converges to . Butand so converges in norm to .