From Radon-Nikodym to Riesz Representation
[16/0%]The following is an advanced calculus fact used in the next problem, often called the diagonal method. Suppose that each row of the array
is a bounded sequence of real numbers. Then there exists a strictly increasing sequence of positive integers such that exists for each .
The first row of the above array is a bounded sequence, and hence there is a convergent subsequence , where the sequence is strictly increasing and exists. Return to the original array and look at the second row along the sequence , so that we are considering the bounded sequence . Select from this bounded sequence a convergent subsequence; write it as . Observe the following: is a strictly increasing subsequence of , and exists. Continue on this process, obtaining a new array
such that (i) each row is a strictly increasing sequence of positive integers, (ii) each row is a subsequence of the row above, and (iii) for each the limit exists. Therefore, for each we have that is a convergent sequence of the th row of the original array. Define for each . The 's are strictly increasing because each row of the new array is increasing and is contained in the preceding row. Also, is a subsequence of the th row of the new array for each . It follows that is a subsequence of for each in , so that exists for each .
Let denote a -finite measure space with . Further assume that is countably generated, which means that there is a countable class with . Let , so that is the unit ball in . We will show that is compact in the topology of weak convergence. That is, every sequence in contains a subsequence converging weakly to an element of .
has a countable dense subset, say . [Recall an approximation result from Chapter 8.]
Append to all finite rational linear combinations of its elements. We will refer to this augmented collection as ; [the augmented collection] is still countable. Next, let denote a sequence in .
For every , is a bounded sequence of real numbers with bound . From this we may deduce that is a bounded sequence of real numbers with bound for every .
Since is countable, there is a subsequence of the sequence such that exists for every . [This is a direct application of the diagonal method from advanced calculus: The array whose th row is , with an enumeration of , is bounded row by row, so Exercise 1 of this section applies.] Write for every ; Hölder's Inequality gives for every .
is uniformly continuous on its domain . [We have
for every .]
There exists a unique continuous function on such that on . [From advanced calculus, we know that a uniformly continuous function defined on a dense subset of a metric space has a unique continuous extension to all of .]
For every we have . [Direct verification.]
For every we have . [Let denote a sequence in the dense collection with ; let denote a sequence in with . Thus is a sequence in with . Use the continuity of and (e) to verify the equation
]
Directly verify that for every and . This in turn shows that for every and . [The first part is easy. The second part is obtained in the same spirit as was (f).]
By (g), is a linear functional on . Show in addition that is bounded with . [We already know that is continuous from (d); use the relevant claim from Section 8.8 to achieve boundedness. Next, pick ; let denote a sequence in with . Verify that
]
We now invoke the Riesz Representation Theorem for the bounded linear functional on , obtaining a function such that for every . Since , we have by Claim 1 of Section 8.9, hence . Recall the subsequence given after part (b). Observe that for every we have
We have that converges weakly to , completing the proof. [Pick in and ; find with . Define for each , and observe that the above shows . Verify that
For large enough we thus have . Since is arbitrary, the entire proof is complete.]
Let , where the underlying space is -finite and . Suppose that weakly in and weakly in . The goal is to show that -a.e. on , so that weak limits in are unique.
Quickly show that for every . [Both quantities are equal to .]
Show that -a.e. on . [Define for every ; define for every . Both and are bounded linear functionals on that agree on by (a). Use the uniqueness claim of the Riesz Representation Theorem.]
Let denote a -finite measure space, and let . Define on by writing for every . Then is a bounded linear functional with .
It is trivial that is linear. Recalling that -a.e. on gives , which shows that is bounded and . If we have trivially . Otherwise, let , , and let . Now , and by -finiteness there is some subset with . Let ; it is easy to verify that and . Then , so that . Since is arbitrary we have .
The upcoming exercises discuss the Riesz Representation Theorem for the case . In the text it was stated that the Riesz Representation Theorem does not necessarily hold for arbitrary measure spaces when . This exercise provides a counterexample for a non--finite measure space. This counterexample is not rigorous because certain claims are made without proof. These claims can be verified upon completion of the next chapter, but we state the facts now.
Let , and let denote the two-dimensional Borel subsets of . For each , define
where the uncountable sum is as defined at the beginning of Section 9.2, and where denotes the restriction of one-dimensional Lebesgue measure to the Borel subsets of . Next, write
for every .
Both and are measures with domain , and . [It should be straightforward to verify that is a measure. From this and the interchange of the roles of and one can show that is a measure. That for all is trivial.]
Define on by writing for every . Verify that , so that the definition makes sense. Next, verify that is a bounded linear functional on with . [Again, this should be straightforward.]
Now assume that the conclusion of the Riesz Representation Theorem holds: there is such that for this , where the notation is as in Exercise 4. That is, assume that for every .
Accept without proof the assertion the existence of some such that . [The proof of this fact requires the machinery of the next chapter.]
Let and . Show that and .
Verify that
so that we achieve a contradiction. [The inequality may be accepted on faith, as it depends on some concepts yet to be defined.] This gives a semirigorous counterexample to the Riesz Representation Theorem in the case . The problem here is that is not a -finite measure space. [Actually, fails even to be decomposable.]
Let denote a measure space. Suppose that for every , where . is an additive set function.
Let . Then is a Hahn decomposition of with respect to . [Obvious.]
Let denote the Jordan decomposition of into finite measures and ; recall that Jordan decompositions are unique by Exercise 4 of Section 9.1. Show that and for every . [We have for every , where is as in part (a).]
Define . is a finite measure, and for every we have , the supremum being over all finite decompositions of into disjoint -sets . [Let , and let denote the supremum. If are disjoint -sets, then
which gives . For the reverse inequality, consider the disjoint -sets and , where is as in (a). Then
This gives .]
This exercise uses the notation and results of Exercise 6. Let denote a bounded linear functional on , where is a finite measure space. We desire to show the following: There is such that for every .
Exercise 6 (restated). Let denote a measure space. Suppose that for every , where ; is an additive set function. Let denote the Hahn decomposition of with respect to , let denote the (unique) Jordan decomposition of into finite measures and , and let ; then for every , , the supremum being over all finite decompositions of into disjoint -sets .
Define for every . Then is an additive set function on . [Note that part (i) of the proof in this section works for .]
There exists a unique [up to a -null set] function such that . [Note that part (ii) of the proof in this section works for .] By the definition of , we have for every .
We may without any loss of generality assume that for every . Therefore, we have as well. [Let . If , then . By part (c) of the previous exercise, there exists a finite collection of disjoint -sets with union such that . But then
a contradiction. Thus -a.e. on .]
Show that for every finite-valued -measurable simple function defined on . [Follow the proof of (iii) given in the proof of the section.]
for every . [Follow the proof of (v) given in the proof of the section, or do the usual thing of using MCT to show the result is true for nonnegative functions in and then using positive and negative parts to give the result in general.]
The function is unique up to a -null set. [This should be straightforward. Suppose that is such that for every . If has positive -measure, then, without loss of generality, has positive and finite -measure. Let . Then , a contradiction. Use this to get the general uniqueness claim.]
Extend Exercise 7 to where is -finite. This gives the Riesz Representation Theorem for the case .
Let denote a disjoint sequence of -sets of finite -measure with union . For each and , let , so that is a finite measure space. Define on by writing . Then each is a bounded linear functional on with . Use the previous exercise now for each : there is such that for every and
Since , the above relation holds for each . Now consider the functions . For each the values of on are of no consequence in determining . We may meaningfully define a function on by writing when ; it is straightforward to verify that and . At this point, pick . Use the continuity of , the boundedness of , and DCT to obtain
The uniqueness of up to a -null set may be established as in the finite case.
Let , let denote the Borel subsets of , and let denote Lebesgue measure restricted to . Then is not weakly compact. This shows that in Exercise 2 we cannot consider the case , even if the underlying space is finite.
For each let , and suppose that some subsequence converges weakly as to some . Integrate against the functions in and show that the hypothesized weak convergence forces -a.e. on . Next, integrate against the constant function , (which is clearly in ), and obtain a contradiction.
Let denote a -finite measure space. Let denote the set of functions such that
-
,
-
whenever are disjoint, and
-
whenever and . Given , define on by writing
for every . Given , define .
Show that .
Show that is a normed linear space [with setwise linear operations].
Assume the notation of Exercise 10. Let and denote -measurable simple functions with domain [i.e. are disjoint with union and are disjoint with union ]. Let . Then
where for every function on .
Verify that
Assume the notation of Exercise 10 and let . If is an -measurable simple function on , define . Next, if is a bounded -measurable function on , there is a sequence of simple functions on such that .
The real sequence is a Cauchy sequence. Define .
This definition is well-defined, as does not depend on the particular sequence of -measurable simple functions on with . The definition is also consistent with our definition of for simple functions.
Let and denote bounded -measurable functions on , and let . Show that
-
,
-
,
-
, and
-
forces .
Let denote a bounded -measurable function such that -a.e. on . Then .
We have defined first for simple functions, then for bounded functions. We wish to extend this to functions in . To do this, let , and pick a bounded function such that . [See Exercise 2 of Section 8.4 to see that such a function exists.] We define to be . Using this, show that this definition makes sense in that if is a bounded function in with , then .
Use Exercise 11.
Let . Verify that
by appealing to part (c) and to Exercise 10.
Let denote a -finite measure space, and let . Define on by writing . Then is a bounded linear functional with .
Linearity follows from Exercise 12. For the other claim, let . Pick bounded so that and . [See part (e) of the previous exercise or Exercise 2 of Section 8.4 to see that such a function exists.] Using the previous exercise gives
This gives . For the reverse inequality, pick and use the definition of in Exercise 10 to find a disjoint collection with union and . For , let . Define the function . We have with , and
Since is generic, this gives .
Prove the Riesz Representation Theorem for : Let denote a -finite measure space, and let denote a bounded linear functional on . Then there exists such that , where is as in the previous exercise.
Framework (from the paragraph preceding Exercise 10). Given a -finite measure space , denotes the set of functions such that (i) , (ii) whenever are disjoint, and (iii) whenever and ; for every , and .
Exercise 13 (restated): Let denote a -finite measure space, and let . Define on by writing . Then is a bounded linear functional with .
Note the slight difference in the form of the theorem for the case as compared to the case where .
Suppose that is such that and whenever and are disjoint subsets of . Such a is referred to as a finitely additive measure. Define .
.
If and , then .
If , then .
If , then or .
If a collection of subsets of satisfies (a)-(c), then is called a filter on . If satisfies (a)-(d), then is called an ultrafilter on . Let denote an ultrafilter on , and define by writing if and if . Then is a finitely additive measure.
Let denote a -finite measure space, and let denote a finitely additive measure in [see Exercise 10 for the definition of ]. Then for every iff is or for every .
Let denote a nonempty set. A filter on is called free if . [That is, there is no that is common to each of the sets in .] If a filter is not free, it is referred to as fixed.
If is a fixed ultrafilter on , then for some .
If is finite, then every ultrafilter on is fixed.
If is infinite, then there exists a free ultrafilter on .
Define the collection . Then is a filter. Use Zorn's Lemma to obtain a maximal filter containing , and then show that is a free ultrafilter.