§ 6. Convexity inequalities
1. The convexity theorem
Theorem 1
— Let be a locally compact space, a positive measure on , a real Banach space, a closed convex set in , and a function on such that . For every non-negligible integrable numerical function such that is integrable, the point belongs to .
For, let be the dual of and let () be a relation defining a closed half-space containing . Since is integrable, so is the numerical function , and
(§ 4, No. 2, Cor. 1 of Th. 1); but, by hypothesis, for all , therefore ; on integrating, we have
This proves that the point belongs to every closed half-space containing ; but, by the Hahn–Banach theorem, is the intersection of the closed half-spaces containing it (TVS, II, §5, No. 3, Cor. 1 of Prop. 4), whence the theorem.
Corollary
— If the positive measure has total mass equal to 1 and if is integrable, then belongs to the closed convex envelope of in .
It suffices to take for the constant function 1.
2. Inequality of the mean
We are going to sharpen Th. 1 for numerical measurable functions (finite or not).
Definition 1
— Let X be a locally compact space, a measure on X. Given a numerical function f (finite or not), defined locally almost everywhere in X, we call maximum in measure, or -maximum (resp. minimum in measure, or -minimum) of the function f, and denote by (resp. ), the infimum (resp. supremum) of the set of numbers such that (resp. ) locally almost everywhere (for ).
It follows at once from the definition that , thus from every property of the maximum in measure one deduces a corresponding property of the minimum in measure.
For every , the set of such that is locally negligible; now, the set of such that is the union of the sets where , with running over the set of rational numbers ; therefore locally almost everywhere (§ 5, No. 2). Similarly locally almost everywhere; it follows that if the measure is nonzero; moreover, the relation is equivalent to saying that is equal to a constant locally almost everywhere. It is clear that if the measure is nonzero, then
If two functions are equal locally almost everywhere, then and .
Finally, if and are two functions such that is defined locally almost everywhere, then
(1)
(2)
If , then locally almost everywhere, but not necessarily almost everywhere. A numerical function is said to be bounded in measure (for the measure ) if it is defined and finite almost everywhere and if, moreover, the numbers and are both finite (the latter condition amounts to saying that ).
Proposition 1 (Inequality of the mean)
— *Let f be a measurable numerical function that is bounded in measure. For every integrable numerical function , the function (defined almost everywhere) is integrable and
Moreover, two of the three members of the inequality (3) cannot be equal unless, in the set of such that , f is equal to almost everywhere or equal to almost everywhere.
Indeed, is measurable (§ 5, No. 3, Cor. 5 of Th. 1); moreover, the inequality holds, not only locally almost everywhere, but even almost everywhere, because the set of points where is a countable union of integrable sets (§ 5, No. 6, Lemma 1). It follows that is integrable (§ 5, No. 6, Th. 5) and the inequality (3) holds. On the other hand, the function is almost everywhere defined and equal to ; it is therefore almost everywhere in ; since the relation is equivalent to , it can hold only if the function is negligible, which completes the proof.
Setting aside the trivial case that , the inequality (3) may be deduced from Th. 1 of No. 1 applied to the interval . One can bring to Th. 1 of No. 1 the complements analogous to those of Prop. 1, that specify the case in which the point belongs to the boundary of D (Exer. 2).
3. The spaces
Definition 2
For every mapping of into a Banach space , one sets ; is said to be bounded in measure (for the measure ) if is finite. The set of mappings of into that are measurable and bounded in measure is denoted (or , or simply ).
A function in may thus be characterized by the fact that there exists a bounded measurable function equal locally almost everywhere to .
It follows immediately from (1) that
on the other hand, for every scalar . The set is therefore a linear subspace of the space of all mappings of into , and is a semi-norm on this vector space. Let be a sequence of functions in that converges to for the topology defined by the semi-norm ; for every integer , there exist a locally negligible set and an integer such that for every integer and every (every countable union of locally negligible sets being locally negligible); the union of the is locally negligible, and one sees that tends uniformly to on the complement of the locally negligible set ; the converse is immediate.
It is clear that every function equal locally almost everywhere to a function in belongs to . In particular, the locally negligible functions defined on with values in form a linear subspace of , characterized by the relation (the closure of 0 for the topology defined by ). The Hausdorff space associated with , that is, the quotient space , is denoted (or or ); its topology is defined by the norm deduced from by passage to the quotient; the norm of a class is denoted , or also . When (resp. ), we write and in place of and (resp. and ) if this can cause no confusion.
Proposition 2
The space* is complete; the space is a Banach space.
For, let be a Cauchy sequence in ; for every integer , there exists an integer such that for and ; thus, there exists a locally negligible set such that for all . If is the union of the sets (for and ), then is locally negligible and, for every , for all indices . Let be the locally negligible set formed by the union of the , and set for , for ; then belongs to and, by the definition of , the sequence converges uniformly on to a function . It follows that the function is measurable (§ 5, No. 4, Th. 2); moreover, is bounded on the set of where and, since the complement of this set is locally negligible, belongs to . It is clear that in , the sequence has limit , and the same is therefore true of the sequence , since for all . The second part of the proposition may be deduced immediately from this.
Remark
— 1) Every bounded continuous function on with values in belongs to , and
In order that for every bounded continuous function , it is necessary and sufficient that the support of the measure be equal to . For, if there exists a continuous function with negligible compact support and not identically zero, then and . Conversely, if the support of is equal to then, for every bounded continuous function and every number , the set of such that is open and nonempty, hence has outer measure , which shows that .
When the support of is equal to , we may therefore identify the normed space , of bounded continuous functions on with values in , with a subspace of the space . Since is not in general Hausdorff, the subspace is not in general closed in , but its canonical image in is a closed subspace of (which can moreover be identified with in the case contemplated). In general, is distinct from , that is, for an arbitrary bounded measurable function , there does not in general exist a continuous function equal to locally almost everywhere (§ 5, Exer. 12). This implies that the space of mappings of into , continuous with compact support, is in general not dense in , whereas it is dense in each of the spaces for (§ 3, No. 4. Def. 2).
2) It is immediate that the topology defined by the semi-norm is finer than the topology induced on by the topology of convergence in measure (§ 5, No. 11).
4. Hölder’s inequality
In this No., and will denote two real numbers such that , , bound by the relation ; thus if , if , and if ; and will be called conjugate exponents. Note that the relation is equivalent to ; only when and are equal to 2.
Theorem 2 (Hölder’s inequality)
— Let and be two numerical functions that are finite almost everywhere and are such that is equal almost everywhere to a function in and to a function in . Then, the function (defined almost everywhere) is integrable, and
Let (resp. ) be a function in (resp. ) to which (resp. ) is equal almost everywhere; is equal almost everywhere to the function , which is everywhere defined and finite, and which is measurable, being the product of two measurable functions (§ 5, No. 3, Cor. 5 of Th. 1). If , Hölder’s inequality for the upper integral (Ch. I, No. 3, Prop. 4) yields the inequality (4), and the relation then shows that is integrable (§ 5, No. 6, Th. 5). If , , the inequality (4) and the fact that is integrable are immediate consequences of the inequality of the mean (No. 2, Prop. 1); thus the theorem is proved in all cases.
Corollary 1
— Let be three Banach spaces, and let be a continuous bilinear mapping of into such that . If and , then the function is integrable and
For, is measurable (§ 5, No. 3, Cor. 5 of Th. 1); since , the corollary follows from Th. 2 and the integrability criterion of § 5, No. 6, Th. 5.
Two special cases of Cor. 1 are important in applications:
Corollary 2
— Let be a real (resp. complex) Banach space, its strong dual (TVS, III, § 3, No. 1), and let be the canonical bilinear form on . If and , then the real (resp. complex) function is integrable and
For, .
When is a real or complex Hilbert space, one knows that it can be canonically identified with its dual (TVS, V, § 1, No. 7). Since the space is complete, we have the following result:
Corollary 3
— Let be a positive measure on , a real (resp. complex) Hilbert space. On the space , the symmetric (resp. Hermitian) form
defines a Hilbert space structure, for which the norm is equal to .
Corollary 4
— Let be a Banach space, a function in , and a numerical function belonging to ; then, the function is integrable and
Corollary 5
— Let be n positive integrable functions, and let be n numbers such that ; under these conditions, the function is integrable and
For, the product is measurable, being the product of measurable functions (§ 5, No. 3, Th. 1 and its Cor. 5); since the inequality (8) is true for upper integrals (Ch. I, No. 2, Cor. of Prop. 2), the function is integrable (§ 5, No. 6, Th. 5), whence the corollary.
Cor. 2 of Th. 2 is sharpened by the following proposition:
Proposition 3
— Let be a positive measure on X, F a real or complex Banach space, F' its strong dual, and the canonical bilinear form on .
1° For every function (),
as g runs over the set of functions in , such that .
2° For every function (),
as f runs over the set of functions in such that .
Let us first prove the relation (9); we distinguish between two cases.
(i) . The relation (9) being trivial when (because f and are then negligible), we can always suppose, on multiplying f by a scalar, that . Suppose first that f is an integrable step function, , where the are pairwise disjoint (§ 4, No. 9, Lemma). Thus by hypothesis. For every , there exists (for every index k) a vector such that if (resp. if ) and (TVS, IV,
§1, No. 3, Prop. 8). Setting , we have if (resp. if ), thus ; on the other hand,
and, since if (resp. if ), we have
which proves the relation (9) in this case.
Let us pass to the case that is any element of such that . For every , there exists a step function such that (§ 4, No. 10, Cor. 1 of Prop. 19). By what we have just seen, there exists a function , such that and
Now,
and, by (6),
whence
which proves (9).
(ii) . We may again restrict ourselves to the case that . Let be any number such that ; by hypothesis, the set of such that is measurable and is not locally negligible, therefore it contains a compact set of measure . Since is measurable, there exists a compact set of measure , such that the restriction of to is continuous. It follows that, for every , there exists a partition of into a finite number of integrable sets, in each of which the oscillation of is ; at least one of these sets has measure > 0. Let be one of the values of in ; then and for all . There exists a vector such that and ; the function is integrable and ; on the other hand,
Now, one can write
and since
we see that
since is arbitrary and is any number < , the relation (9) is also verified in this case.
One argues in exactly the same manner to prove the relation (10), on considering separately the case and the case , and using the fact that for every , by the definition of the norm in .
Remark
— 1) Let be a dense linear subspace of ; then the formula (9) holds when runs over the intersection of with the set of functions in such that . For, it suffices to observe that the interior of is dense in and that is dense in , since is open. This remark applies in particular to the set of continuous functions with compact support (with values in ) when , that is, . But in this case, the formula (9) is true as runs over , even for . For, we may, as above, restrict ourselves to the case that is a step function. We saw then that if , then for every there exists a step function such that for all and . There exists a finite number of pairwise disjoint compact sets such that has a constant value on each and such that, if is the union of the , then . Let be a neighborhood of such that the sets are pairwise disjoint, and let be a continuous mapping of into with support contained in and equal to 1 on . Setting , we have on and on , therefore
and consequently , which proves our assertion. Analogous remarks can be made for the formula (10).
2) Let be a positive measure on , a measurable function (finite or not) whose support is contained in a countable union of compact sets . Then, for every such that ,
as runs over the set of functions in such that . For, the formula (11) is a special case of (9) when , since is then equivalent to a function in (§ 5, No. 6, Th. 5). If , for every integer set . Then
whence, on passing to the limit (assuming, as we may, that the sequence is increasing), we have (§ 1, No. 3, Th. 3).
Corollary
— *Let be a positive measure on , a Banach space, its strong dual, and any function in . Then, the linear form on , deduced from the linear form on by passage to the quotient, is continuous and has norm .
5. Application: relations between the spaces ()
Proposition 4
— *Let be a measurable function with values in a Banach space ; the set of numbers , such that and is finite, is either empty or is an interval of . If is nonempty, the restriction to of the mapping is continuous; moreover, if is not negligible, is a convex function of on .
We already know (Ch. I, No. 3, Prop. 5) that the set of finite numbers such that is either empty or is an interval, and that is a convex function of on (when is not negligible); this of course implies the continuity of on .
If is empty then either or , and the proposition is obvious in this case; assume henceforth that is nonempty. The proposition is also obvious if is negligible; assume henceforth that is not negligible. If then, for every finite number , , and the inequality of the mean shows that
Letting tend to , it follows that
This proves that if then contains arbitrarily large numbers; thus is indeed an interval of , and . The proposition will be proved if we show that is continuous on , and it suffices to establish continuity at the end-points of . We can suppose, moreover, that does not reduce to a point. Let and be the left and right end-points of (). Let be the (measurable) set of such that ; then
As tends to , tends to while decreasing, and tends to while increasing. Thus tends to (§ 1, No. 3, Th. 3). On the other hand, is integrable for , and tends to (§ 4, No. 3, Prop. 4). Therefore tends to , which proves the continuity of at .
The same reasoning may be applied at the point if . Finally, suppose that . In view of (13), it suffices to prove that
Now, let be a number such that . Since, by hypothesis, there exist finite values of such that , the set of such that , which is measurable and non-negligible, is integrable by virtue of the inequality ; moreover, we infer from this inequality that ; letting tend to , it follows that , which completes the proof.
Corollary
— If *are three numbers such that
then the intersection is contained in .
Note that in general the topologies induced on the intersection by the topologies of the () are distinct. If no further hypothesis is made on , the topologies induced on by those of and are in general not comparable (in other words, the ratio can take arbitrarily large values and arbitrarily small values in ; cf. Exer. 8).
Prop. 4 may be sharpened when is a bounded measure:
Proposition 5
— Let be a bounded measure, and let be a -measurable function with values in a Banach space . The set I of numbers such that and is finite, is either empty or is an interval with left end-point and containing this point; moreover, is an increasing function of on I.
This is an immediate consequence of Prop. 4 above and of the Cor. of Prop. 4 of Ch. I, No. 3.
Corollary
— If the measure is bounded, the relation implies ; moreover, the topology of convergence in mean of order is finer than the topology of convergence in mean of order (on ).
One can show that in general the topology of convergence in mean of order is strictly finer than the topology of convergence in mean of order (Exer. 8).
Proposition 6
— Let be a discrete space, the measure on defined by placing a mass at each point of . If is a mapping of into the Banach space , the set I of numbers such that and is finite, is either empty or is an interval with right end-point and containing this point; moreover, is a decreasing function of on I.
For, for every function (§ 1, No. 1, Example), and ; if there exists a number such that for infinitely many values of , then for every finite ; in the contrary case, there exists an such that , whence
for every finite . Since the function is convex with respect to and takes its smallest value at the point , it is necessarily a decreasing function of on I (FRV, I, § 4, No. 3, Prop. 5), which completes the proof.
Corollary
— If is discrete and the measure is defined by a mass at each point of , then the relation implies ; moreover, the topology of convergence in mean of order is finer than the topology of convergence in mean of order (on ).
Exercises
See the exercises for § 6.