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Exercise 1.4.29 (Properties of measurable functions)
Let be a measurable space. Show that
- (i)
- a function is measurable if and only if the level sets are -measurable.
- (ii)
- the indicator function is measurable if and only if is -measurable.
- (iii)
- a function is measurable if and only if for every Borel measurable subset the set is -measurable.
- (iv)
- a function is measurable if and only if its real and imaginary parts are measurable.
- (v)
- a function is measurable if and only if its positive and negative magnitudes are measurable.
- (vi)
- if is a sequence of measurable functions converging to another function , then is also measurable.
- (vii)
- if is measurable, and is continuous, then is measurable.
- (viii)
- the sum of product of two measurable functions is measurable.
Answers
- (i)
-
If
is measurable, then the sets
must be measurable too since the latter is the inverse image of an open set in
.
Conversely, suppose that for any the set is -measurable. Then also- sets of the form must be measurable.
- sets of the form must be measurable.
- sets of the form are measurable.
Pick an arbitrary open set . Then is a countable union of open intervals (cf. Analysis I). Recall that an open interval of the extended positive real line either contains (in which case it can be written as or for ) or it does not (in which case it can be written as for ). Both of the cases result in measurable inverse images under by the previous argument. We then have , and the last term is measurable as a countable union of measurable sets.
- (ii)
-
Suppose the
is measurable. Then by definition
and the last term is measurable as a countable intersection of measurable sets.suppose conversely that is measurable. Now pick an arbitrary open set . Notice that only the values get mapped into. Thus, we have four cases:
- , then which is measurable.
- . Then which is measurable.
- or , in both cases the inverse image is measurable as it is either or respectively.
- (iii)
-
Suppose that the inverse image of every Borel measurable set in
is
-measurable. Then, in particular the inverse image of every open set must me
-measurable too, and we are done.suppose conversely that
is measurable. We use the
-induction from the Remark 1.4.15.
- is -measurable.
- If is -measurable, then is -measurable, too.
- If is -measurable for , then is -measurable, too.
- Finally, the property holds for every element of the generating set of open sets.
Thus, this property must hold for all elements of too.
- (iv)
-
Suppose that
is measurable. We verify that the real part
is measurable. Pick an arbitrary open set
(for the real part). Then the inverse image is
. The latter is a
-measurable set since it is an inverse image of a product of two open sets which is open (cf. Topology). Similarly the imaginary part is measurable as well.suppose that the real and the imaginary part of
are measurable. Pick an arbitrary open set
. Let
. Notice that
This is easy to verify. (If then and therefore hence and , similarly with the imaginary part. Conversely, means and means . Since , the result follows.) But both terms are -measurable by assumption, and so is their intersection.
- (v)
-
Let
be measurable, and consider
given by
and
. Then any open set
we have
is
-measurable, and
which is also
-measurable, since
is open.suppose that
given by
and
are measurable. Pick an arbitrary open set
. We than have
Both sets are open in , and the union of -measurable inverses is again -measurable.
- (vi)
-
We argue that
is a countable union/intersection of
-measurable sets. In particular,
- Pick an arbitrary . Then is an interion point, and we thus can find an such that . Since , we can find a such that we have and thus . This implies
- Pick an arbitrary , i.e., there exists a such that , i.e., for all we have . Furthermore, there exists a such that for all we have . Thus, after the values are both -close to and contained in . By triangle inequality must be contained in an -ball in as well.
- (vii)
- The inverse image is measurable, since and therefore also are open, and is measurable.
- (viii)
-
Let
be measurable. Consider two further functions
Then is measurable. To see why, pick an arbitrary open . Then where is the projection function in the -th co-ordinate. But is a composition of a continuous function with a measurable function, and is thus by part (vii) itself measurable. Taking the intersection of -measurable sets we see that is measurable. is continuous (cf. Analysis II). Thus, by part (vii) the function is measurable.
A similar argument proves that the product is measurable as well.