The Lebesgue Integral
[49/65%]Let .
iff for every .
For any .
Let . Why can't we say that for every , as compared to saying that the result holds for every ? Also, why can't we necessarily write ?
Let be such that . Then iff -a. e. on E. In particular, iff -a. e. [on ].
Let and .
If , then , but the converse is not necessarily true.
If and , then , but the converse is not necessarily true.
Let . Then iff .
Suppose that is a nonincreasing sequence of -sets. Also, let .
It is not necessarily the case that .
If for some , then .
If is no longer nonincreasing but is still such that exists, state conditions under which .
Let and recall (S7), where is the measure on with for every . Then, for any and , we have .
Let be nonempty, and let . Let , and let denote the restriction of from to . Finally, let denote the restriction of from to .
is a measure space.
If denotes this section's functional relative to ( ), then we have for every .
Let , and suppose that is simple and -measurable. Let , where is defined in the previous exercise. Consider two programs:
Program 1 Extend from to as follows: Let be such that on and on .
Program 2 Do not extend from to as in Program 1, but instead view as a function defined everywhere relative to the measure space ( ), where the notation is as in the previous exercise.
These two programs are equivalent in the sense that , where is this section's functional relative to the measure space ( ), and is this section's functional relative to the measure space ( ).
Quickly prove the following "almost everywhere" modification of (S3) and (S4). As usual, and all sets are in .
[(S3): if on , then for every . (S4): [on ] implies ; more generally, if on , then for every .]
If -a.e. on , then for every .
If -a. e. on , then for every .
Prove
(N3') If -a.e. on , then for any .
(N4') If -a. e. on , then for any .
(N7') If and -a.e. on , then .
If -a.e. on for some , then .
It was claimed in (N5) that for every . This result in fact holds in as well: . Therefore, (N5) holds for all . Similarly, we may allow the numbers to be in in the statement (N8).
[(N8)(a): for functions , for every and choice of , so that is linear in this sense; this problem extends that to .]
This exercise concerns Fatou's Lemma.
Let denote a sequence of -sets. Show that by using Fatou's Lemma applied to the sequence of indicator functions .
Consider . If for each , then while ,hence strict inequality may hold in Fatou's Lemma.
In (b), with , the sequence provides another example where strict inequality holds in Fatou's Lemma.
It is not necessarily the case that if . However, if , the inequality holds, hence we have
by putting everything together.
Let denote an arbitrary nonempty set, and fix attention upon a particular . Let , and define by writing if and if .
is a measure space.
Every is -measurable.
Let and . Then .
Let denote an uncountable set, and let \mathcal{F}=\left\{ A \subseteq \Omega : A is amc or is amc. Define for all by writing if is amc and if is amc.
is a measure space.
is -measurable iff there is [depending on ] with a. e. on .
Let and , then , where is the constant such that -a.e. on [as given in (b)].
Let denote an arbitrary nonempty set, let , and let be given. Write
Suppose . Then , hence the definition above is consistent with what we're used to in the finite case.
Suppose [a countable set]. Then .
Let denote a nonempty set, let , and let be such that the number of points in when is finite, and otherwise .
( ) is a measure space. The measure is called the counting measure since "counts" the number of points in each -set.
Every is -measurable.
Given any and , we have .
The previous exercise regarding counting measure has some interesting applications to statements regarding infinite series.
If for each , then
where the last expression above is a standard unordered sum from advanced calculus. [This is a result that is demonstrated in advanced calculus courses independently of any measure or integration theory, and hence our usage of it before this exercise is not in any way circular. Here, the idea is to prove this by constructing the appropriate space and functions and using the results of the previous exercise.]
Let denote a double sequence of nonnegative numbers. Show that .
Consider the measure space , and let . For each , define
where the supremum is taken over all finite disjoint collections of -sets with . Then , so that this is an equivalent formulation of what we have done in this section.
[Recall the arithmetical conventions and for the case when some .]
Consider the measure space , and let and . Define , where is a nondecreasing sequence of functions in such that . We will show that without using MCT, so that this definition could have instead served as our definition.
We first want to show that is well-defined, since there are possibly many nondecreasing sequences of elements of with . Let , so that . If , then .
[By (MF18): for a nonempty and a nonnegative -measurable , there exists a nondecreasing sequence of nonnegative, finite-valued, -measurable simple functions on converging pointwise to on ; denotes the collection of all such simple functions dominated by .]
If , then . This with (a) gives the inequality in any case.
Now we may show that this definition is well-defined. Let and denote two nondecreasing sequences in with . Show that by using the results of (a) and (b).
Finally, show that , which shows that this definition is indeed truly equivalent to our definition. Observe that this alternative definition is defined to directly make MCT automatically true, so that MCT follows as a definition, but the price to be paid is in showing (a)-(c), that is, in showing that this alternative definition is well-defined.
Let denote a measure space with such that , and let . Lebesgue's original version of our operator is
The preceding limit exists, hence the preceding definition makes sense.
This definition is equivalent to our definition of . [Compare with (MF18) in Chapter 5.]
Let denote a nonempty set, and let denote a -field on . For each , let denote a measure with domain . For each , let denote the measure that assigns the value to each .
Let and . Then .
Let and . Then .
Let be nonempty, and suppose that is -measurable. Let , where is the set of -subsets of . Consider two programs:
Program 1: Extend from to as follows: let be such that on and on .
Program 2: Do not extend from to as in Program 1, but instead view as a function defined everywhere relative to the measure space , where is the restriction of from to .
These two programs are equivalent in the sense that , where is this section's functional relative to the measure space , and is this section's functional relative to the measure space .
Our definitions and results in the section exposition assumed that functions were everywhere defined on , and such an approach may seem somewhat restrictive, since it may not be possible for some naturally occurring functions to be defined everywhere on . This exercise (together with the following one) shows that such functions are not excluded from consideration nor left out of the scope of the results of this section, since we are justified in "switching our perspective" from to an appropriate "sub-measure-space." Or, if we wish, we may equivalently just extend the domain of our function by defining it to be zero everywhere outside the original domain, and this extended function now has domain and the theory relative to applies. In either case, the corresponding functionals give the same numbers.
Keep ( ) general. Suppose that is a -field on , and let denote the restriction of to . If a nonnegative measurable function defined on also happens to be -measurable in addition, then for every .
is clearly a measure space.
(N16): Suppose that is a -finite measure space, and further suppose that for every . Then -a.e. on .
We have the following claims related to (N16):
If and are finite, and if for every , then -a.e. on . [Observe that here we don't need -finiteness because of the assumed finiteness. A simple proof is this: if for each , then , where . Conclude that . Reverse the roles of and for the result.]
Suppose that is a -system that generates : . If and are finite, and if for every , then -a.e. on .
Let denote a nonnegative -measurable function. We have the two equalities
and
Let be such that , and let be such that on and on , where . Then exists and is finite. Furthermore, we have .
Let and let be such that exists and is finite. There exists a subset such that and .
is such that exists and is finite iff for any there are functions and in such that on and .
Let denote a sequence of nonnegative functions in . For each and , define and . Furthermore, assume that are finite and -a.e. on . Then
Let with , and let be such that exists and is finite.
Suppose that is a sequence of functions in such that
Then exists and equals .
Reset everything in (a), and this time let for each and . Then .
Suppose that is a sequence of functions in such that there exists with for each , and let be such that uniformly on . Then .
Let denote a nondecreasing sequence of functions in such that exists and is finite for each and . Then exists, is finite, and equals . This is one form of Beppo Levi's Theorem.
Let , and denote sequences of functions in such that , and for some functions .
Suppose for any that exists and is finite. Furthermore, suppose that and . Also, assume that for every .
exists and is finite for all exists and is finite, and .
DCT may be obtained from (a).
In properties (G6) and (G9), we gave a proof for the "everywhere" case. Prove the "almost everywhere" case for these two properties. [No problems should arise.]
(G6): if -a.e. on and , then .
(G9): if eaif and is such that -a.e. on , then eaif. As a consequence, any that is bounded -a.e. on a set of finite measure and zero -a.e. on is such that eaif for every .
Suppose that for each we have , and suppose that exists for each . Next, assume that there exists nonnegative such that exists and is finite; further assume that for each .
exists and is finite.
exists and is finite. [Show first that .]
exists and is finite.
. [This is a more general form of DCT.]
Suppose that instead of ranging over , we have ranging over some interval , where , and suppose that limits are now as from the right [or from the left]. Then (a)-(d) hold in these two modified scenarios.
Suppose that is a sequence of functions in such that exists on . Next, suppose that is a sequence of nonnegative functions in such that for all we have (i) exists and is finite and (ii) . Finally, suppose that (iii) exists on , (iv) exists and is finite, and (v) . Then .
This is yet another more general form of DCT. As with the previous problem, remember to show that all quantities in fact exist and make sense before showing that they're equal.
Suppose that exists and is finite, where is a disjoint sequence of -sets. Then , and the convergence of the series is absolute.
Assume for each that (i) exists and is finite and (ii) is finite. Assume also that .
For -a.e. , exists.
Define on by writing
Then .
The assumption that each is finite may be relaxed to saying that each is finite -a.e. on .
Suppose that is a sequence of elements of converging to some . Furthermore, assume that there is such that for each . Then exists, is finite, and is no more than .
(L10) If and -a. e. on , then . Also, any that is bounded -a. e. on a set with and is zero a. e. on is in . (L16) We have the following, where :
If , then .
For general exists and is finite iff exists and is finite, and in this case equality obtains.
Suppose that converges -a.e. on and that for every we have -a.e. on , where .
For every we have , and as well.
The equality obtains.
Prove the following corollary: if converges, then converges absolutely -a.e. on and again the equality holds.
Suppose that .
Let . Then for -a.e. .
Use DCT to show that .
This exercise deals with the concept of uniform integrability. A sequence is called uniformly integrable iff , where the sets are as given in the previous exercise: for .
Suppose that and is uniformly integrable. Then each is in .
If and are uniformly integrable, then so is .
Suppose that , -a.e. on , and is uniformly integrable. Then and .
Suppose that and that -a.e. on , where each of is nonnegative and in . If , then is uniformly integrable.
Suppose that , , and -a.e. on . Then the following statements are logically equivalent:
-
is uniformly integrable.
-
.
-
.
Suppose that . Then is uniformly integrable iff (i) is bounded and (ii) for every there is such that implies for every .
The reader may consult Billingsley's Probability and Measure, Section 16, for the solutions to (a)-(e).
This problem deals with parametric integrals. Here, we consider a measure space as well as a nondegenerate interval of any form. Suppose that for every there is a function in with domain . That is, for every we may consider the real number . For each , write for . Hold this notation and these assumptions fixed throughout.
Make the following additional assumptions:
-
There exists with domain such that for every and .
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The element is such that for -a.e. . Show that , so that is continuous at .
Forget about the assumptions from (a), and instead make the following new set of assumptions:
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For -a.e. we have that is differentiable at each .
-
There exists with domain such that for -a.e. and all . Show that (i) is differentiable on , and (ii) .
Assume that is an -measurable function defined -a.e. on such that there are real numbers and with -a.e. on . Also, assume that . Then there is such that .
Let denote a sequence in with , on , and . Then , and the requirement that is essential. [This mimics MCT somewhat.]
Suppose that , and let denote a uniformly bounded sequence of functions on with uniformly on . Then .
Suppose that is a sequence of functions in such that the series converges. Then converges -a.e. on to a function and .
Let denote a generic measure space, and let denote the completion of . Let denote an -measurable function on . [The bar on is just part of the notation; it denotes no operation.]
There exists on that is -measurable with -a.e. [Here, look back at the outline of Exercise 2 in Section 5.5, where there consisted of the Borel sets and consisted of the Lebesgue sets. Observe that nothing specific to Euclidean space was used in that outline --- only the general results concerning completion --- hence the same outline will work here.]
If one of and exists, then so does the other and both integrals coincide. Therefore, integrals of -measurable functions with respect to are completely determined by the integrals of -measurable functions with respect to . [It is perhaps best to use the usual approach in proving results about integrals: show that the claim holds for simple, then nonnegative, then measurable functions.]