§ 2. Vectorial measures
1. Definition of a vectorial measure
The definition of a measure given in Ch. III, §1, No. 3 may be generalized as follows:
Definition 1
Let F be a Hausdorff locally convex space over R. One calls vectorial measure on T with values in F every continuous linear mapping of the space into F.
Def. 1 may also be expressed as follows: a vectorial measure on T with values in F is a linear mapping m of into F such that, for every compact subset K of T, the restriction of m to is continuous for the topology of uniform convergence. If , one also writes or instead of . The measures with values in are sometimes called real measures (Ch. III, §1, No. 5) or scalar measures on T.
Example
— 1) The identity mapping of is a vectorial measure on T with values in .
2) Let H be a complex Hilbert space, the normed algebra of continuous endomorphisms of H. Let A be a subalgebra of , commutative, closed, self-adjoint and containing the identity; one shows that there exist a compact space X and an isomorphism of the normed algebra A onto the algebra of continuous complex functions on X, equipped with the norm . The inverse isomorphism, restricted to , is a vectorial measure m on X, with values in , such that .
Remark
— 1) For a linear mapping m of into F to be a vectorial measure, it is necessary and sufficient that, for every compact subset K of T, the image under m of the unit ball of be bounded in F. The notion of vectorial measure with values in F is therefore the same for all the Hausdorff locally convex topologies on F that admit the same bounded sets, and in particular for all the topologies compatible with the duality between F and F' (TVS, IV, §1, No. 1, Prop. 1).
2) Let be a locally compact space, a Hausdorff locally convex space over , u a continuous linear mapping of into , and v a continuous linear mapping of F into . If m is a vectorial measure on T with values in F, then is a vectorial measure on with values in . In particular, if g is a continuous, finite numerical function on T, then is a vectorial measure on T with values in F, which is denoted ; if h is a second continuous, finite numerical function on T, then .
3) Since the space is the direct limit of the Banach spaces , and is in particular barreled (TVS, III, §4, No. 1, Cor. of Prop. 2 and Cor. 3 of Prop. 3), in order that a linear mapping m of into F be a vectorial measure, it is necessary and sufficient that, for every , be a scalar measure on T (TVS, II, §6, No. 4, Prop. 5 and IV, §1, No. 3, Prop. 7).
4) In view of Remark 1, Prop. 1 of Ch. III, §2, No. 1 and its proof are again valid for vectorial measures. One can therefore define the support of a vectorial measure m on T to be the complement of the largest open set such that the restriction of m to U is zero.
2. Integration with respect to a vectorial measure
Let be a vectorial measure on , with values in . For every , the mapping is a scalar measure on , depending linearly on . If is a numerical function defined on , we shall say, by an abuse of language, that the pair has the property if, for every , the pair has the property . For example, we shall say that is essentially integrable for if, for every , the function is essentially integrable for . It comes to the same to say that is essentially integrable for each of the measures and (Ch. V, §2, No. 2, Cor. 2 of Prop. 3).
Proposition 1
Let be a vectorial measure on with values in , a numerical function on that is essentially integrable for . The mapping*
Denoting this mapping by , it is immediate that for all . Everything comes down to showing that . Set ; by the Lebesgue–Nikodym theorem, one can then write and , where and are two bounded and locally -integrable numerical functions (Ch. V, §5, No. 5, Th. 2); moreover, and , and the analogous relations hold with replaced by (resp. ) and by (resp. ). This being so, it is immediate that is essentially -integrable (Ch. V, §2, No. 2, Cor. 1 of Prop. 3), and the relation to be proved reduces to , which is obvious.
Definition 2
Let be a vectorial measure on with values in , a numerical function on that is essentially integrable for . One calls integral of with respect to , and denotes by or or again , the element of defined by
We observe that if , the element so defined coincides with the element denoted likewise in No. 1, because the second member of (1) is then by definition. Moreover, if in particular one applies Def. 2 to the case that , one sees that for every , f is essentially integrable for the real measure , and that the second member of (1) may be written .
Suppose now that is essentially integrable for , and let . Set ; by the Lebesgue–Nikodym theorem, one can write , where is locally -integrable and , and the proof of Prop. 1 shows that . Consequently,
It is clear that the set of finite numerical functions essentially integrable for is a vector space over ; we shall denote by this space equipped with the coarsest locally convex topology making continuous all of the linear forms , where runs over . Note that in general the locally convex space is not Hausdorff.
Example
— Let us take for the identity mapping of onto itself. Since the dual of is the space of scalar measures on , the functions are those that are essentially integrable for every scalar measure (cf. Exer. 1), and the integral is the linear form on . One cannot have for every measure unless , as one sees on taking , where is arbitrary in ; in other words, the mapping is an injection of into the algebraic dual of , which extends the identity mapping of . The relation is therefore equivalent to .
Let be a continuous linear mapping of into a Hausdorff locally convex space , and let us denote again by its extension by bitransposition to a linear mapping of into (§ 1, No. 1). With this convention:
Proposition 2
Every numerical function* essentially integrable for is essentially integrable for , and .
The proposition is obvious, in view of the equality for all .
In general, if , the integral belongs to but not to (see the above Example). However:
Proposition 3
If the image under* of the set of such that is weakly relatively compact in , then for every bounded numerical function essentially integrable for .
Let be the set of such that , and let ; by hypothesis, is weakly relatively compact in , therefore it suffices to show that is contained in the closure (in ) of for the topology ; since is convex and balanced, it suffices to prove that the polar of in is contained in that of (TVS, II, §6, No. 3, Th. 1). Now, for a linear form to belong to , it is necessary and sufficient that for every function , which signifies that the scalar measure is bounded and of norm (Ch. III, §1, No. 8); but by (2) the latter condition implies that for every function , whence .
Corollary 1
If, for every compact subset K of T, the image under m of the set of such that is weakly relatively compact in F, then for every function that is bounded and has compact support, and for every function .
The first assertion may be deduced immediately from Prop. 3: if is bounded and has compact support, and if U is a relatively compact open neighborhood of the support of , then the restriction of to the subspace is a measure on U that satisfies the conditions of Prop. 3, and (Ch. V, §7, No. 1, Th. 1), therefore .
Now let be any element of ; for every compact subset K of T and every integer , let be the numerical function on T defined as follows: if , ; if and , ; finally, if and , . It is clear that for every , is the limit of with respect to the product filter of the Fréchet filter by the section filter of the (increasing directed) ordered set of compact subsets of T. Since , it follows from Lebesgue’s theorem and Prop. 10 of Ch. V, §1, No. 3, applied to each scalar measure , that converges to in with respect to the preceding filter. Consequently, the integral is in the closure in (for the topology ) of the set M of . But the first part of the corollary shows that , and, on the other hand, for every one has , which shows that M is bounded in , hence also in F (TVS, IV, §1, No. 1, Prop. 1). Lemma 1 of §1, No. 2 therefore shows that .
Corollary 2
If F is semi-reflexive, then for every numerical function essentially integrable for .
3. Majorizable vectorial measures
Let be a lower semi-continuous semi-norm on F. We shall denote by the set of such that for all . This is
the polar in of the set of such that ; for every ,
Definition 3
Let be a vectorial measure on with values in . If is a lower semi-continuous semi-norm on , is said to be q-majorizable if there exists a positive measure such that for every ; the supremum of the measures as runs over (Ch. III, §2, No. 4, Th. 3) is then denoted . One says that is majorizable if it is q-majorizable for every continuous semi-norm on .
If and are both q-majorizable, it is immediate that is also q-majorizable and that
When is a normed space, with norm denoted , to say that is majorizable therefore means that the measures , where , are bounded above by a same positive measure; one then denotes by the supremum of this family of measures.
If , the measure corresponding to the Euclidean norm on coincides with the measure denoted by in Ch. III, §1, No. 5.
Proposition 4
Let* *be a finite family of Hausdorff locally convex spaces, their product, () a lower semi-continuous semi-norm on , and the semi-norm on defined by . If () is a vectorial measure on with values in that is *-majorizable*, then the measure with values in is q-majorizable.
For, the dual may be identified with , in such a way that if , , then . If for every , then in particular for , and the converse is obvious, which shows that the set is the product of the . Since by hypothesis for , it follows that
Majorées.
Corollary
— If the space F is finite-dimensional, then every vectorial measure m with values in F is majorizable. In order that a numerical function be essentially integrable for m, it is necessary and sufficient that it be essentially integrable for |m| (where |x| denotes any norm on F).
Proposition 5
— *Let q be a lower semi-continuous semi-norm on F. Let m be a q-majorizable measure, and let f be a function essentially integrable for m and such that . Then
For,
by virtue of (1) and the relation for .
Proposition 6
— *Let F be a quasi-complete, Hausdorff locally convex space, m a majorizable measure on T with values in F. If f is a numerical function essentially integrable for all of the measures q(m) (where q runs over the set of continuous semi-norms on F), then f is essentially integrable for m, and .
We shall make use of the following auxiliary result. Let be an increasing directed family of positive measures on T. Let us denote by the vector space of finite numerical functions on T, essentially -integrable for every , equipped with the topology defined by the semi-norms (). Let be the linear subspace of generated by the products , where g runs over the set of continuous finite numerical functions on T, and K over the set of compact subsets of T.
Lemma 1
— *When and are equipped with the topology induced by that of : a) each element of is in the closure of some bounded subset of ; b) each element of is in the closure of some bounded subset of .
To prove a), we may restrict ourselves to the case of an element of the form (), K compact in T). It is immediate (by virtue of Urysohn’s theorem) that is in the closure of the set B of functions of the form , where h describes the set of continuous mappings of T into that are equal to 1 on K and to 0 on the complement of a fixed compact neighborhood H of K. Moreover, the set B is bounded, because for every function h having the preceding properties.
Let us now prove b); we may restrict ourselves to the case of an element of . For every and every , there exists a compact subset of T such that the restriction of to is continuous and . It is clear that is in the closure of the set C of (where ). By virtue of Urysohn’s theorem, the set C in contained in ; moreover, it is bounded, because for all and .
Let us now prove Prop. 6: for every function and every continuous seminorm q on F, (Prop. 5), which implies that the mapping of into F is continuous when is equipped with the topology induced by that of (Q the set of continuous semi-norms on F). Consequently, by the preceding lemma and Prop. 10 of TVS, III, §1, No. 6, this mapping may be extended by continuity, first to a continuous linear mapping of into F, then to a continuous linear mapping of into F. Moreover, for every the relation holds, by the definition of , for every ; since for , the mapping is continuous on , therefore again by continuity, the relation holds for every function . It follows that , which completes the proof.
4. Vectorial measures with base
Definition 4
Let be a positive measure on T. A vectorial measure on T, with values in F, is said to be a measure with base if there exists a mapping of T into F, scalarly locally -integrable, such that for every function . One then says that is a density of with respect to , and one writes .
It is immediate that if and are two densities of with respect to , then is scalarly locally -negligible (Ch. V, §5, No. 3, Cor. 2 of Prop. 3); recall that in general this does not imply that is zero locally almost everywhere (cf. §1, Exer. 12 and No. 1, Remark 2).
Let be a measure with base , of density . For a numerical function to be essentially integrable for , it is necessary and sufficient that be scalarly essentially -integrable (Ch. V, §5, No. 3, Th. 1).
Proposition 7
— Let be a mapping scalarly locally integrable with respect to a positive measure on , such that, for every function , one has . Then the mapping of into is a vectorial measure on , with base and density with respect to .
For (No. 1, Remark 3), it suffices to show that, setting , is a scalar measure for every . But since , one has , whence our assertion.
Proposition 8
— Let be a positive measure on , a measure on with values in , with base and density with respect to . Let be a lower semi-continuous semi-norm on .
a) If, for every compact subset of , the upper integral is finite, then is -majorizable.
b) If is -majorizable, then has base ; if in addition is -measurable as a mapping of into , then is locally -integrable and .
a) For every finite subset of , let us denote by the supremum of the measures , where runs over ; if then (Ch. V, §5, No. 2, Prop. 2). For every relatively compact open subset of , let be the restriction of to ; let us first show that as runs over the directed set of finite subsets of , the family is bounded above in . Indeed, for every function in ,
whence our assertion (Ch. II, §2, No. 2). Let be the supremum of this family of measures in . If is a second relatively compact open subset of such that , then is the restriction of to , as follows immediately from the expression of the supremum of an increasing directed set of measures (Ch. II, §2, No. 2) and the fact that is the restriction to of . Thus there is one and only one positive measure whose restriction to each is (Ch. III, §2, No. 1, Prop. 1), and it is clear that .
b) Since the measures have base , so does their supremum (Ch. V, §5, No. 5, Th. 2). If is -measurable for the topology on , it follows at once from the definitions that the mapping of into the product space is -measurable. The restriction of to every compact subset of on which is continuous is lower semi-continuous; consequently is -measurable (Ch. IV, §5, No. 5, Cor. of Prop. 8 and No. 10, Prop. 15). Let be a compact subset of T; it admits a partition consisting of a -negligible set and a sequence of compact sets on which is continuous. Then for all (Ch. IV, §1, No. 1, Th. 1 and Ch. V, §7, No. 1, Prop. 1), whence . But this proves that is locally -integrable and that for all ; whence, by definition, .
Remark
Suppose that there exists in a countable subset D that is dense for ; then, the function is always -measurable, because (Ch. IV, §5, No. 4, Cor. 1 of Th. 2). Then, for every compact subset K of T, , where J runs over the countable directed set of finite subsets of D (Ch. IV, §1, No. 1, Cor. of Th. 3); thus, one sees that in this case the condition that for every compact subset K of T is necessary and sufficient for m to be -majorizable.
Proposition 9
— *Let F be a finite-dimensional Banach space. Every measure m on T with values in F is a measure with base . If , then locally almost everywhere for . For m to have base , it is necessary and sufficient that have base , and if then .
Let and be dual bases of F and F' (A, II, §2, No. 6) with for all i. Then for every index i, therefore (Ch. V, §5, No. 5, Th. 2) , where is bounded and -measurable. Setting , we therefore have . If , Prop. 8 shows that , whence locally almost everywhere for (Ch. V, §5, No. 3, Cor. 2 of Prop. 3). The final assertion follows at once from Prop. 8.
Remark
If then is a positively homogeneous continuous function on . Setting , by definition (Ch. V, §5, No. 9) .
5. The Dunford–Pettis theorem
Let be a positive measure on T. A vectorial measure m on T, with values in F, is said to be scalarly of base (or to have base scalarly) if, for every , the scalar measure has base . If a vectorial measure with values in has base , then it has base scalarly: for, if then for every . But there exist vectorial measures that are scalarly of base without having base (Exer. 17), and, on the other hand, there exist vectorial measures that are not scalarly of base for any positive measure ; note however that every majorizable measure with values in a normed space is scalarly of base , by virtue of the Lebesgue–Nikodym theorem.
Example
— Let us take for the identity mapping of . To say that is scalarly of base means that every real measure on has base . In particular, the point measure () must have base , which requires that for every , and implies in particular that every compact subset of is countable.
In this No. we are going to prove a result that generalizes one of the consequences of the Lebesgue–Nikodym theorem, namely, that the dual of is (Ch. V, §5, No. 8, Th. 4), and that gives a sufficient condition for a vectorial measure that is scalarly of base to have base .
Let be the canonical mapping of onto . We shall say that a linear subspace of has the lifting property if there exists a linear mapping of into (called a lifting of ) such that is the identity on and for all and .
One proves that if is Lebesgue measure on , the entire space has the lifting property (Exer. 18).
Lemma 2
Every separable subspace* of the Banach space has the lifting property.
By the hypothesis, there exists a countable dense subset of that is a linear subspace with respect to the field of rational numbers; let be a (countable) basis of over . For every integer , let be an element of such that , and let be the -linear mapping of into defined by ; it is clear that is the identity on . Moreover, for every one has except at the points of a locally negligible set . Let be the union of the for , which is also locally negligible. For every , denote by the function such that if , and if . It is clear that is a -linear mapping of into the subspace of bounded functions in , such that is the identity on and such that for all and . Since is a Banach space for the norm (Ch. IV, §5, No. 4, Th. 2), may be extended to a continuous -linear mapping, again denoted , of into , which is obviously a lifting of .
Definition 5
— Let F be a Hausdorff locally convex space, its dual equipped with the topology . We denote by the vector space of mappings of T into , such that is scalarly -measurable and is equal scalarly locally almost everywhere (for ) to a mapping of T into an equicontinuous subset of . We denote by the quotient space of by the space of scalarly locally -negligible mappings of T into .
When F satisfies the hypotheses of §1, No. 5, Prop. 13, the functions in are -measurable for the weak topology , but are not necessarily measurable for the strong topology on , even if F is a Banach space (§1, Exer. 17). Under the same conditions, the scalarly locally -negligible mappings of T into are identical to the locally -negligible mappings of T into (§1, No. 1, Remark 2).
When F is a separable normed space, the elements of are the mappings of T into such that is scalarly -measurable and is bounded in measure; one can then define a normed space structure on the space , by equipping it with the norm (Ch. IV, §6, No. 3).
Lemma 3
Let F be a Hausdorff locally convex space, an element of . For every , one has , and the linear mapping of F into is continuous; if, moreover, F is a normed space, then .
It is clear by definition that is -measurable and bounded in measure; replacing if necessary by a function belonging to the same class of , we can suppose in addition that , where V is a balanced convex neighborhood of 0 in F (which does not modify except on a locally negligible set, depending on ). Then the relation implies that for all , which proves the continuity of . The final assertion is obvious.
Lemma 4
Let F be a Hausdorff locally convex space, an element of . For every numerical function , the function is scalarly essentially -integrable and .
For every , belongs to , whence the first assertion. One can suppose moreover, without modifying , that , where V is a balanced convex neighborhood of 0 in F. Then the relation implies for all , whence , which proves that .
Theorem 1
— Let F be a Hausdorff locally convex space that contains a countable dense subset. For every function and every , let ; the mapping defines, by passage to the quotient, a linear bijection of onto the space of continuous linear mappings of into . *If is a normed space, this bijection is an isometry.
In view of Lemma 3, the first assertion will be demonstrated if one proves that for every continuous mapping of into , there exists a function such that for all , and that the class of in is uniquely determined by this condition. The second point is immediate, because if for all , then is scalarly locally negligible. On the other hand, there exists a lifting of into (Lemma 2). For every , the mapping is a continuous linear form on , that is, an element of . The function is scalarly -measurable since for every ; one has ; finally, for every and every belonging to the inverse image under of the unit ball of ,
which shows that for all .
If, moreover, is a normed space, the foregoing shows that
But on the other hand (Lemma 3), , and this inequality continues to hold when is modified arbitrarily on a locally negligible set. It follows that .
Corollary 1
Let be a Hausdorff locally convex space containing a countable dense subset. For every function , every and every function , let . The mapping defines, by passage to the quotient, a linear bijection of onto the space of continuous bilinear forms on . *If is a normed space, this bijection is an isometry.
One can suppose that is an equicontinuous subset of . It is then clear that is separately continuous, and, with the notations of Th. 1 and the Appendix, one has (taking into account the fact that is the dual of (Ch. V, §5, No. 8, Th. 4)) . The corollary then follows from Th. 1 above and from the Appendix, No. 1, Prop. 1 and its corollary.
Corollary 2 (Dunford–Pettis theorem)
— Let be a Hausdorff locally convex space containing a countable dense subset. For every function and every function , let (Lemma 4). The mapping defines, by passage to the quotient, a linear bijection of onto the space of linear mappings of into such that the image under of the unit ball of is an equicontinuous subset of . *If is a normed space (in which case is the space of continuous linear mappings of into the strong dual of ), the bijection is an isometry.
Taking into account the fact that is the dual of , this follows from the preceding corollary and from the Appendix, No. 1, Prop. 1 and its corollary.
Remark
— It is clear that the mappings are continuous for every -topology on ( a covering of by bounded subsets). Conversely, if is assumed moreover to be barreled, then every continuous linear mapping of into equipped with an -topology transforms the unit ball of into a bounded subset of , which is therefore equicontinuous (TVS, III, §4, No. 2, Th. 1).
Corollary 3
Let be a Hausdorff locally convex space containing a countable dense subset, a vectorial measure on with values in the weak dual of . If the image under of the set of functions in such that is contained in a closed and convex equicontinuous subset of , then has base and there exists a density of with respect to such that for all .
The hypothesis implies that is continuous when is equipped with the topology induced by that of (defined by the semi-norm ); it may therefore be extended to a continuous linear mapping of into the completion of the weak dual of ; but since is a compact subset of and the image under of the set of such that is contained in the closure of in , one has , therefore maps into . Since the relation implies that , one has if is -negligible, and Cor. 2 may therefore be applied to the mapping of into obtained from by passing to the quotient; whence the corollary.
Corollary 4
Let be a separable normed space, and a measure on with values in the strong dual , majorizable for the norm of . Then is a measure with base , and if then locally almost everywhere for .
By hypothesis, for every such that , one has for every function , consequently (TVS, IV, §2, No. 4, formula (1)). Since every ball in is equicontinuous, Cor. 3 is applicable and shows that has base ; moreover, if then is -measurable for (§1, No. 5, Prop. 13) and (No. 4, Prop. 8), which proves the corollary (Ch. V, §5, No. 3, Cor. 2 of Prop. 3).
If this corollary is applied to the case that if finite-dimensional, one recovers as a special case the first part of Prop. 9.
6. Dual of the space (F a separable Banach space)
Proposition 10
— *Let F be a separable Banach space. For every function and every function , the numerical function is essentially -integrable, and
*For every class , let be the continuous linear form on deduced from the linear form on by passage to the quotient; then is a linear isometry of onto the strong dual of the Banach space .
For every compact subset K of T and every , there exists a compact subset of K such that and the restriction of (resp. ) to is a continuous mapping of into F (resp. into ); consequently is weakly compact, hence equicontinuous on (TVS, III, §4, No. 2, Th. 1 or IV, §1, Exer. 10). Now, the restriction of the canonical bilinear form on to the product of F and an equicontinuous subset of is continuous for the product topology of the topology of F and (GT, X, §2, No. 1, Cor. 4 of Prop. 1); it follows that the restriction of to is continuous, hence that is -measurable. Moreover,
locally almost everywhere, consequently is essentially -integrable and the inequality (3) holds (Ch. IV, §5, No. 6, Th. 5 and Ch. V, §1, No. 3, Lemma).
It remains to show that is a surjective isometry. Let be a continuous linear form on . The mapping is a continuous bilinear form on , because
By Cor. 1 of Th. 1 of No. 5, there exists a mapping of T into , belonging to , such that for all and such that for every function with class in and every . In other words, the linear forms and coincide on the subspace of generated by the elements of the form (). Since this subspace is dense in (Ch. IV, §3, No. 5, Prop. 10), it follows that , which already proves that is surjective. Moreover, by (3), , whence , and this concludes the proof.
7. Integration of a vector-valued function with respect to a vectorial measure
Proposition 11
— Let be three Banach spaces, a continuous bilinear mapping of into . Let be a majorizable vectorial measure on , with values in . Then there exists one and only one continuous linear mapping of into such that, for every and every numerical function integrable for , one has . *Moreover,
for every function .
If there exists such a mapping, its value for a step function over the -integrable sets is uniquely determined: for, it is known that one can then write , where the are -integrable and disjoint, and the (Ch. IV, §4, No. 9, Lemma). The value of must therefore be equal to . Now, we have (No. 3, Prop. 5)
which shows first of all that the element of does not depend on the particular expression of in the form , hence that we may denote it by . One verifies immediately that the mapping so defined is linear on the space of step functions over the -integrable sets: for, it suffices to write two functions of in the form and with the same finite family of pairwise disjoint -integrable sets (which is possible by virtue of the Lemma of Ch. IV, §4, No. 9). The inequality (5) then shows that is continuous on , and since this subspace is dense in (Ch. IV, §4, No. 10, Cor. 1 of Prop. 19 and Ch. V, §1, No. 3), one deduces from this the existence and uniqueness of , as well as the inequality (4).
One says that is the integral of with respect to (relative to the bilinear mapping ); when the value of the bilinear mapping at the point is denoted , we shall write instead of .
With the notations of No. 6, the integral is none other than with and .
Corollary
If* and are two majorizable measures on , with values in , then and for every scalar .
The second assertion is immediate. The first signifies that for every function that is both -integrable and -integrable,
The function is -integrable (Ch. V, §2, No. 2, Cor. 1 of Prop. 3), hence a fortiori -integrable, and the first member of (6) is indeed meaningful. To show (6), it suffices to do so for a step function over the -integrable sets, since the set of these functions is dense in and the two members of (6) are continuous in the latter space, by virtue of (4). But for , where is -integrable, the two members of (6) reduce to , whence the corollary.
Remark
— When is of the form , where and is a real measure on ,
for every function , because both members are continuous on this space and coincide when is a step function over the -integrable sets.
8. Complex measures
Definition 6
One calls complex measure on* every continuous linear form on the complex vector space .\footnote{Cf. Ch. III, §1, No. 3, Def. 2.}
The space of complex measures on is thus the dual of the Hausdorff locally convex space .
If is a complex measure on , its restriction to is a vectorial measure on with values in (regarded as a vector space over );
m is determined by this restriction, since if , the real part and the imaginary part of are in , and . Conversely, for every vectorial measure on T with values in , the formula defines a complex measure , the only one on T whose restriction to is . We shall therefore henceforth identify a complex measure with its restriction to ; such a measure is of the form , where and are two real measures on T, which are called, respectively, the real part and the imaginary part of . The support of is the union of the supports of and . One knows that is majorizable (No. 3, Cor. of Prop. 4); we shall call absolute value of the positive measure corresponding to the absolute value on . One has (No. 4, Remark following Prop. 9), and , , ; moreover, is a measure with base , and one can write , where and locally almost everywhere for (No. 4, Prop. 9). The supports of and are the same.
For every mapping of T into a complex Banach space F, essentially integrable with respect to , one can define (No. 7) the integral of with respect to (corresponding to the R-bilinear mapping of into F), which will be denoted ; it follows at once from the uniqueness property of Prop. 11 that (with the preceding notations) . We therefore have for . We say that is essentially integrable with respect to if it is so for ; mappings that are -integrable, -measurable, locally -integrable, -negligible or locally -negligible are defined similarly. We write
For to be -integrable (resp. essentially -integrable), it is necessary and sufficient that be integrable (resp. essentially integrable) with respect to each of the four measures , by virtue of the inequalities between and the relations (Ch. V, §2, No. 2, Prop. 3 and its Cor. 1).
If is essentially -integrable (resp. -integrable), then is essen-
--- In particular, this definition of coincides with that in Ch. III, §1, No. 6 (cf. Ch. V, §5, No. 9). Cf. Ch. V, §5, No. 5, Cor. 3 of Th. 2 for a sharper statement. Cf. Ch. V, §1, remarks at the end of No. 3.
tially -integrable (resp. -integrable), and it follows from Prop. 11 that
Let F and G be two complex Banach spaces, a continuous linear mapping of F into G. If is an essentially -integrable (resp. -integrable) mapping of T into F, then is essentially -integrable (resp. -integrable) and ; this follows at once from the foregoing and the analogous proposition for essentially -integrable functions (Ch. IV, §4, No. 2, Th. 1 and Ch. V, §1, No. 3, Lemma and Def. 3).
Let be a complex measure on T and let be a locally -integrable complex function. For every function , the function is -integrable and the mapping is a complex measure, denoted and called the measure with density with respect to . If , it is clear that ; since, moreover, locally almost everywhere for , for to be essentially integrable for it is necessary and sufficient that be essentially -integrable, in which case . Moreover, . We again say that every measure of the form is a complex measure with base ; two complex measures are said to be equivalent if each has a density with respect to the other, or, what amounts to the same, if with locally -integrable and locally almost everywhere for . It is clear that and are equivalent and that, for and to be equivalent, it is necessary and sufficient that and be so.
If and are two complex measures on T, and is a function with values in a complex Banach space F, essentially integrable (resp. integrable) for both and , then, for any complex numbers and , is essentially integrable (resp. integrable) for , and
For, this follows from the Cor. of Prop. 11 of No. 7.
In addition, it follows from the definitions that
One calls conjugate measure of a complex measure the complex measure defined by for . If , where and are real measures, then and ; if then . If is an essentially -integrable (resp.
m-integrable) function with complex values, then is essentially -integrable (resp. -integrable) and
Proposition 12
Let m be a complex measure on T, p and q conjugate exponents (Ch. IV, §6, No. 4). The bilinear form is defined and continuous on the product ; the inequality holds, and is the norm of the continuous linear form on deduced from the linear form by passage to the quotient.
Moreover, if , then every continuous linear form on the complex vector space is of the type , where is a function in , whose class in is uniquely determined.
Since , where locally almost everywhere, the first assertion follows at once from Hölder’s inequality (Ch. IV, §6, No. 4, Th. 2); the second derives from Prop. 3 of Ch. IV, §6, No. 4. Finally, if is a continuous linear form on , its restriction to the (real) subspace of is a continuous -linear mapping of into ; if , it is therefore of the type , where and belong to (Ch. V, §5, No. 8, Th. 4); whence the final assertion, on setting .
9. Bounded complex measures⁶
For every complex measure on , one sets
One says that is bounded if ; it comes to the same to say that is continuous on equipped with the topology of uniform convergence, hence can be extended to a continuous linear form (of norm ) on the Banach space of continuous complex functions tending to 0 at infinity.
Lemma 5
Let m be a complex measure on T, f an m-integrable complex function. Then , as h runs over the set of functions in such that for all *.
⁶Cf. Ch. III, §1, No. 8.
If , then and . Set when , and when ; is -measurable, thus for every there exists a compact subset K of T such that , the restriction of to K is continuous, and on K. Therefore, by virtue of Urysohn’s theorem, there exists a continuous function defined on T, with complex values, such that on K and such that and for every ; setting , we see that is continuous on T, coincides with on K, and is such that for all . Finally, let be a continuous mapping of T into , equal to 1 on K and with compact support; setting , we have
Proposition 13
— *Let m be a complex measure, and . For m to be bounded, it is necessary and sufficient that be bounded, in which case .
We have , where is -measurable and for all . If is bounded then, for every function ,
Corollary
— *Let m be a bounded complex measure. Every function is then m-integrable, and .
For, is -measurable and, setting , we have
10. Image of a complex measure; induced complex measure; product of complex measures\footnote{Cf. Ch. V, §6, No. 4; Ch. IV, §5, No. 7 and Ch. V, §7; Ch. III, §4 and Ch. V, §8, Nos. 2–5.}
Let be a complex measure on , and let be a mapping of into a locally compact space . We shall say that is -proper if is -proper (Ch. V, §6, No. 1, Def. 1); it is then immediate that for every function , the function is essentially -integrable and
therefore the mapping is continuous on , in other words is a complex measure on , which is denoted and called the image of under . Moreover, it follows from (8) that . If and are two complex measures on and if is both -proper and -proper, then is -proper for any complex scalars , and .
Let be a locally compact subspace of . For every function , the function on , defined by if and by if , is -integrable (Ch. IV, §5, No. 7); it is immediate that the mapping is a complex measure on , called the measure induced on by and denoted . If , it is clear that , where is the restriction to of the function , which is locally integrable for (Ch. V, §7, No. 1); moreover, since locally almost everywhere for (Ch. V, §7, No. 1, Cor. 1 of Prop. 1), we have .\footnote{Cf. Ch. IV, §5, No. 7, Lemma 3.}
Let and be two locally compact spaces, (resp. ) a complex measure on (resp. ). Write and . The function is locally integrable on for the positive measure (Ch. V, §8, No. 5, Prop. 10), and one verifies immediately that if (resp. ) is replaced by a function (resp. ) equal to (resp. ) locally almost everywhere for (resp. ), then is equal to locally almost everywhere for . The complex measure on therefore depends only on and ; it is denoted and is called the product measure of and . Since locally almost everywhere for (Ch. V, §8, No. 2, Prop. 4), we have .\footnote{Cf. Ch. III, §4, No. 2, Prop. 3.}
The reader will easily verify that all of the propositions proved in Ch. V relative to the image of a positive measure, the measure induced by a positive measure, and the product of positive measures, except those in which upper integrals or essential upper integrals intervene, remain valid when the positive measures are replaced by arbitrary complex measures.
Finally, one defines as in §1 the concept of scalarly essentially m-integrable function for a complex measure m; for a function f to have this property, it is necessary and sufficient that f be scalarly essentially integrable with respect to and , where and are the real and imaginary parts of , in which case . We leave to the reader the task of carrying over the results of §1 to complex measures.
Exercises
See the exercises for § 2.