§ 4. Locally convex spaces
1. Definition of a locally convex space
Definition 1
— *A topological vector space is locally convex (real) if there exists a fundamental system of neighbourhoods of 0 that are convex sets.
Such a space is called a locally convex space. Its topology is called a locally convex topology.
The topological vector spaces over which we study in the rest of this book are nearly all locally convex.
If is a convex neighbourhood of 0 in the locally convex space , then is a symmetric convex neighbourhood of 0. As the closure of a convex set is convex (II, p. 13, prop. 14) it follows from I, p. 7, prop. 4 that the neighbourhoods of 0 in which are closed, symmetric and convex, form a fundamental system of neighbourhoods invariant under homotheties of centre 0 and ratio .
Proposition 1
— *Let be a filter base on a vector space formed from sets that are absorbent, symmetric and convex. Then the set of transforms of the sets of by homotheties of ratio is a fundamental system of neighbourhoods of 0 for a locally convex topology on .
Clearly is a filter base satisfying (EV_I) and (EV_{II}) of I, p. 7, prop. 4; it also satisfies (EV_{III}) since if then .
Note that if is the locally convex topology on E having for a fundamental system of neighbourhoods of 0, then the sets , where varies in the integers and V varies in , form a fundamental system of neighbourhoods of 0 for the topology . Then is Hausdorff, if and only if, for every in E there exists an integer and a set , such that ; if, further, is enumerable, then the topology is a metrisable locally convex topology. Conversely, it is clear that if is a metrisable locally convex topology, then there exists an enumerable fundamental system of closed symmetric convex neighbourhoods of 0 for .
Corollary
— The topology of a topological vector space E, is defined by a set of semi-norms (II, p. 3) if, and only if, is locally convex.
The condition is necessary since every semi-norm on E is a convex function, and so, for , the set of for which , is convex (II, p. 17, corollary). Conversely if V is a symmetric, closed, convex neighbourhood of 0 in E, the gauge of V is a semi-norm on E such that V is the set of points of E satisfying (II, p. 20, prop. 23).
This shows further that a locally convex topology is defined by the set of all semi-norms that are continuous for . Further, if is metrisable, then it is defined by an enumerable set of semi-norms.
From the corollary to prop. 1, all the results of § 1 on topologies defined by sets of semi-norms apply in particular to locally convex topologies over real vector spaces. A locally convex Hausdorff space E has a completion that is locally convex. A complete, metrisable locally convex space is called a Fréchet space; every Banach space is a Fréchet space.
Proposition 2
— Let f be a continuous linear form defined over a vector subspace M, of a locally convex space E; then there exists a continuous linear form h that is defined over E and is an extension of f.
From the corollary above and II, p. 7, cor. 2, there exists a continuous semi-norm on E, such that for all . By the Hahn-Banach th. (II, p. 23, cor. 1) there exists a linear form on E that extends and is such that for all , and this implies that is continuous (II, p. 6, prop. 5).
Remark
— If is a continuous linear mapping of M in the product space , then there exists a continuous linear mapping of E in that is an extension of ; for writing , where the are continuous linear forms defined over M, there is an extension of for each , such that is a continuous linear form over E. The continuous linear mapping has the required properties.
Note that if F is a locally convex Hausdorff space and a continuous linear mapping of M in F, then there does not necessarily exist a continuous linear mapping of E in F which is an extension of (IV, p. 55, exerc. 16, c)). However there does exist such an extension when M is finite dimensional (cf. cor. 2, below).
Corollary 1
— Let E be a locally convex space. If is not in the closure of , then there exists a continuous linear form f defined over E with .
Apply prop. 2 to the one dimensional vector space M generated by and to the linear form defined over M, which, by I, p. 12, prop. 2, is continuous.
Corollary 2
— Let M be a finite dimensional vector subspace of E, a locally convex Hausdorff space. Then there exists a closed vector subspace N of E, which is the topological complement of M in E.
There exists a topological complement to M in E if, and only if, the identity mapping of M on itself can be extended to a continuous linear mapping of E on M, which mapping is then necessarily a continuous projector (GT, III, § 6.2, corollary). Now, this follows from the remark above since M is isomorphic to a space (I, p. 13, th. 2).
Proposition 3
— In a locally convex space E, the balanced convex envelope of a precompact set is itself a precompact set.
Let A be a precompact set in E. Given V, a balanced convex neighbourhood of 0 in E, there exist finitely many points () such that A is contained in S, the union of the neighbourhoods (). Thus C, the balanced convex envelope of A, is contained in T the balanced convex envelope of S; but T is contained in B + V, where B denotes the convex envelope of the finite set of points (). Now B is precompact (II, p. 14, cor. 2); hence there exist finitely many points () such that is contained in the union of the neighbourhoods . Then C is contained in the union of the neighbourhoods , and the proposition is proved.
Note that, in an infinite dimensional locally convex Hausdorff space, the convex envelope of a compact set is not necessarily closed (II, p. 74, exerc. 3).
Corollary
— If, in a locally convex Hausdorff space E, a compact set X is contained in a complete convex set (complete in the uniform structure induced by that of E) then the convex closed envelope of X is compact.
For this envelope is a closed subset of a complete space, therefore it is complete, but it is also precompact and Hausdorff.
However in a non complete locally convex Hausdorff space, the convex closed envelope of a compact set need not be compact (II, p. 87, exerc. 2).
2. Examples of locally convex spaces
1) The space is locally convex since the open cubes with centre 0 are convex (II, p. 9, prop. 6). This is, therefore, also true for all real topological vector spaces of finite dimension; in fact it follows from the above and I, § 2.3, th. 2 provided that E is Hausdorff; if not, the Hausdorff space F associated with E is of finite dimension, therefore locally convex, and the inverse images of convex neighbourhoods of 0 in F under the canonical mapping are convex and form a fundamental system of neighbourhoods of 0 in E.
2) Let E be a vector space in , and be the family of all subsets of E that are absorbent, symmetric and convex. By prop. 1 of II, p. 23 we see that is a fundamental system of neighbourhoods of 0 for a locally convex topology on E that is the finest of all locally convex topologies on E. This topology is Hausdorff; for let be any point of E; there exists a basis of E with an such that ; the set of points such that is absorbent, symmetric and convex. It does not contain . From II, p. 24, corollary, it follows that is also the topology defined by the set of all semi-norms on E, thus every semi-norm is continuous in .
In particular, if is a linear mapping of E in any locally convex space F, the inverse image, under , of every convex neighbourhood of 0 in F is an absorbent convex set in E; therefore it is a neighbourhood of 0 for and thus is continuous for .
Given a convex set C in E, we say that a point is an internal point of C if, for every line D containing , the intersection contains an open segment which contains ; in other words — is absorbent. The point of the set A in E is interior to A for if, and only if, there exists a convex set C with , and such that is an internal point of C.
More generally, let V be an affine linear variety in E, and C be a convex set contained in V; a point is an internal point of C relative to V if, in the vector subspace , the point 0 is an internal point of the set .
When E is of finite dimension, the topology is just the canonical topology on E (I, p. 13, th. 2); which shows that every internal point of a convex set C in E, is interior to C for the canonical topology (cf. II, p. 74, exerc. 5).
3) Let A be a symmetric convex set in the vector space E over . The vector subspace F generated by A is also the convex cone generated by A, since ; this set is the set of where and ; the set A is absorbent in F and the sets where , form a fundamental system of neighbourhoods of 0 for a locally convex topology on F (said to be defined by A), which is defined by the semi-norm , the gauge of A (II, p. 20, prop. 22); we write for the locally convex space obtained by giving F this semi-norm. The space is Hausdorff if, and only if, is a norm or alternatively A does not contain any line. If B is a second symmetric convex set in E and if , then clearly , and the canonical injection of in is continuous for the topologies defined respectively by A and by B. Further, if is a linear mapping of E in a real vector space , then is convex and symmetric in and is a continuous linear mapping of on .
Finally, note that if E carries a topology compatible with its vector space structure, and if V is a symmetric convex neighbourhood of 0 for , then the vector space generated by V is identical with E, since V is absorbent, and the identity mapping of E in is continuous.
3. Locally convex initial topologies
Proposition 4
Let E be a vector space and let be a family of locally convex spaces. For each , let be a linear mapping of E in ; then the topology* on E, which is the coarsest making each mapping continuous, is a locally convex topology.
Using II, p. 24, corollary, this is a particular case of the corresponding property for topologies defined by semi-norms (II, p. 5).
In particular, every vector subspace of a locally convex space, and every product space of locally convex spaces, is locally convex. Every projective limit of locally convex spaces is locally convex.
Every enumerable product of Fréchet spaces (and in particular every enumerable product of Banach spaces) is a Fréchet space.
Every locally convex Hausdorff space E is isomorphic to a subspace of a product of Banach spaces and this subspace is closed if E is complete (II, p. 5, prop. 3). Every Fréchet space is isomorphic to a closed subspace of an enumerable product of Banach spaces (loc. cit.).
4. Locally convex final topologies
Proposition 5
Let E be a vector space, and be a family of topological vector spaces and for each , let be a linear mapping of in E.
(i) Denote by the family of absorbent, symmetric convex subsets V of E such that is a neighbourhood of 0 in for every ; the family is a fundamental system of neighbourhoods of 0 in E for a topology that is compatible with the vector space structure.
(ii) A linear mapping f of E in a locally convex space G (resp. a semi-norm p on E) is continuous for if and only if, for every index , (resp. ) is continuous in .
(iii) The topology is the finest of the locally convex topologies on E for which the are continuous.
Further, the topology is the only locally convex topology on E that satisfies condition (ii) for linear mappings (resp. for the semi-norms).
As is a filter base invariant under homotheties of ratio > 0, the assertion (i) follows immediately from II, p. 23, prop. 1. By the definition of , the topology is the finest of locally convex topologies on E making the continuous; whence (iii). Finally, it is clear that if is continuous, so is ; conversely if the are continuous for every , then for each symmetric convex neighbourhood W of 0 in G, the set is a neighbourhood of 0 in for each . Now is absorbent, symmetric and convex thus is a neighbourhood of 0 in , and is continuous. Similarly if is a semi-norm on E such that is continuous for every , and if U is the set of points such that , then, for every , the set is a convex neighbourhood of 0 in that is symmetric and absorbent; thus U is a neighbourhood of 0 in E and is continuous (II, p. 2, prop. 1).
The last statement follows from S, IV, § 2.5, criterion CST 18.
We say that is the locally convex final topology of the family of topologies of the , for the family of linear mappings .
It may happen that is not the finest of the topologies on E compatible with its vector space structure and making the continuous (II, p. 75, exerc. 15; see also II, p. 75, exerc. 14).
In the most important case , we get a fundamental system of neighbourhoods of 0 for as follows; for each , let be a symmetric neighbourhood of 0 for , form the union of the for and denote the convex envelope in E of this union by ; since every element of E is of the form , where J is a finite subset of I and , it is immediate that is an absorbent symmetric convex set in E (each of the is absorbent in ); as contains all the , it is a neighbourhood of 0 for . On the other hand, it is clear that for every symmetric convex neighbourhood V of 0 for , we have , from which our assertion follows.
Corollary 1
With the notations of prop. 5, let H be a set of linear mappings of E in the locally convex space G. Suppose that E is the sum of its subspaces ; then H is equicontinuous for , if, and only if, for every , the set where varies in H, is equicontinuous in .
Remembering I, p. 9, prop. 6 the argument is similar to that of (ii) prop. 5. Let W be a symmetric convex neighbourhood of 0 in G and note that if the set , where is equicontinuous, then the intersection is a symmetric convex neighbourhood of 0 in . As this intersection is the same as and the set is symmetric and convex, everything depends on showing that it is also absorbent. Now, by hypothesis, every can be written as , where . To show that there exists such that for all , it is sufficient to consider the case with (since we can pass to the general case by replacing W by ). But this case follows from the fact that is a neighbourhood of 0 in .
Corollary 2
Let be a partition of the index set A. Let be a family of locally convex spaces and be a family of vector spaces. For each , let be a linear mapping of in a vector space E; for each and , let be a linear mapping of in . Write . Suppose that each carries the finest locally convex topology that makes the () continuous. Then, the finest locally convex topology on E that makes the continuous, is identical with the finest locally convex topology making the continuous.
This is a particular case of S, IV, § 2.5 criterion CST 19, and can also be proved directly using prop. 5.
Examples of locally convex final topologies.
I. Quotient space.
Let M be a subspace of the locally convex space F, and φ be the canonical mapping of F on F/M. As the quotient topology on F/M is locally convex and is the finest of all the topologies (locally convex or not) which make φ continuous, it is also the locally convex final topology for the family consisting of the single mapping φ.
II. Inductive limits of locally convex spaces.
Let A be an ordered set directed to the right and let be an inductive system of vector spaces relative to the set A (A, II, § 6.2); let and let be the canonical linear mapping for each . Suppose that each carries a locally convex topology , and further suppose that for , the mapping is continuous. Then we say that the locally convex final topology of the family relative to the linear mappings (resp. the space E carrying the topology ) is the inductive limit of the family (resp. the inductive limit space of the system , or simply of the locally convex spaces ). Recall that E is the union of the vector subspaces and that when , we have ; if we endow with the final topology for the mapping (which is the same as identifying with the quotient space ), the topology is also the final topology of the family of the topologies of the , relative to the canonical injections (II, cor. 2 above). Further, the continuity of for implies that the canonical injection is continuous, so that E is also the inductive limit of carrying the preceding topologies relative to the injection .
Example
— Let X be a locally compact space and the vector space of finite continuous real valued functions defined over X with compact support. For every compact subset K of X, let be the vector subspace of E formed by those functions which are such that . Denote by the topology induced on and by the topology of uniform convergence on X. The inductive limit of the topologies is finer than ; we can show that if X is paracompact and not compact, then is strictly finer than (cf. INT, III, 2nd ed., § 1.8). The importance of lies in the fact that the linear forms on E that are continuous in are precisely the real measures on X (INT, III, 2nd., § 1.3).
Remark
— In the last example, the topology induced by on is identical with , since by definition it is coarser than and, since is finer than , the topology induced by on is finer than that induced by , that is to say .
This reasoning generalises immediately to an inductive limit of locally convex topologies when there is a locally convex topology on E such that is the topology induced on by .
More generally one can ask, when we suppose that and is the topology induced by , under what circumstances induces on each of the . In general this is not so (II, p. 80, exerc. 26); but we shall see in the Nos following two important situations where this does occur.
5. The direct topological sum of a family of locally convex spaces
Definition 2
Let E be the vector space which is the direct sum* (A, II, § 1.6) of the family of locally convex spaces . For each , let be the canonical injection of in . By the topological direct sum of the family we mean the space with the finest locally convex topology which makes each continuous (this topology is called the direct sum of the topologies of the ).
In the remainder of this No. we keep the same notations as in def. 2 (unless the contrary is expressly stated) and we identify, canonically, each with a subspace of , by means of .
By the general description of neighbourhoods of a locally convex final topology given in II, p. 28, we can here obtain a fundamental system of neighbourhoods of 0 in for the direct sum topology, in the following manner; for every family where is a symmetric convex neighbourhood of 0 in , consider the convex envelope , of the union of the ; the for all the families (or only taking for each to be in a fundamental system of neighbourhoods of 0 in ) form a fundamental system of neighbourhoods of 0 in .
Example
— Let be a basis of the vector space and consider the canonical topology (I, p. 2, Example 5) on each line ; the direct sum of these topologies is the finest locally convex topology on (II, p. 26); in fact, if is an absorbent, symmetric, convex set in , then is a neighbourhood of 0 in and clearly contains the convex envelope .
Proposition 6
A locally convex topology* on is the direct sum of the topologies of the , if and only if, the following property holds: a linear mapping of in a locally convex space (resp. a semi-norm on ) is continuous, if and only if, for every , the mapping (resp. ) is continuous in .
This is a particular case of prop. 5, II, p. 27.
Recalling the definition of the direct sum of a family of vector spaces (A, II, p. 12, prop. 6), we can say that the topology is the only one for which the canonical mapping is a *bijection
for every locally convex space .
Corollary
With the notation of prop. 5, II, p. 27, suppose that* is the sum of the . Let be the topological direct sum of the family , and let be the canonical injection; suppose that is the linear mapping such that for all . If is the kernel of , then the canonical bijection associated with is a topological isomorphism of on with the topology .
This is a particular case of II, p. 28, cor. 2 remembering II, p. 29, Example I.
Proposition 7
The canonical injection* is continuous when carries the direct sum topology of the and carries the product topology. When *is finite, this mapping is an isomorphism of topological vector spaces.
The first assertion follows from the fact that the canonical injections are continuous for each . If is finite then is the identity mapping, and it is sufficient to show that the product topology is finer than the direct sum topology . Now, let be a convex neighbourhood of 0 for ; each set is a convex neighbourhood of 0 in ; if is the number of elements of , then the set contains the set , which is a neighbourhood of 0 for , and the proposition is proved.
When is infinite, if, for each finite subset of , we write for the space , with the product topology, then is the inductive limit of the (identified as subspaces of ).
Proposition 8
Let be a subspace of , for every ,
(i) The topology induced on by the direct sum topology on is identical with the direct sum of the topologies of the .
(ii) The canonical mapping of the topological direct sum space of the on (A, II, § 1.6, formula (26)) is an isomorphism between topological vector spaces.
(i) With the notations introduced above, we consider belonging to ( is a family of numbers of which at most finitely many are non-zero, such that , and , for all ). Since the sum of the is direct, we have for all ; therefore, for all such that we also have , and belongs to the convex envelope , thus (i) is proved.
(ii) Denote canonical mappings as follows: and . For every , and the proposition follows from II, p. 28, cor. 2 and p. 29 Example I.
Corollary 1
If is closed in for every , then in closed in .
For, the canonical mapping is continuous (II, § 4.5, prop. 6) for every , hence is closed in , and thus the same is true of the intersection .
Corollary 2
If each is Hausdorff, so also is and each is closed in .
To prove the first statement apply cor. 1 taking for all ; for the second apply cor. 1 with and for every .
We shall show in III, p. 21, cor. 2 that if the are Hausdorff and complete then so is their topological direct sum .
6. Inductive limits of sequences of locally convex spaces
In this No. we shall consider an increasing sequence of vector subspaces of a vector space , such that is the union of the ; we suppose that each carries a locally convex topology , such that, for every , the topology induced on by is coarser than , and we give to the locally convex topology that is the inductive limit of the sequence (II, p. 29, Example II); these hypotheses and notations will be used throughout the rest of this No. without restatement.
It may happen that each is Hausdorff but that is not; it may also happen that for each pair of integers such that , the subspace is closed in (using topology ) but that is not closed in using (II, p. 80, exerc. 26).
Lemma 1
— *Let be a Cauchy filter on (for ); then there exists an integer , such that for all and every neighbourhood of in , the subspace meets .
We assume the contrary and obtain a contradiction. Suppose that for every there exists a convex neighbourhood of and a set such that
Proposition 9
Suppose that the topology induced on by is identical with for every integer . Then (i) The topology induced by on is identical with for each ; if the are Hausdorff then is Hausdorff. (ii) If, for every , is closed in (for ), then is closed in (using ) for every . (iii) If each is complete (using ) then is complete using .
(i) To prove the first assertion, it is sufficient to prove that the topology induced by on is finer than . For this, let be a convex neighbourhood of in for the topology ; we are going to construct an increasing sequence of convex neighbourhoods of in for , say , such that for every index . Then the union of the increasing sequence will be a convex set such that is a neighbourhood of in (using ), for every index ; therefore will be a neighbourhood of in for and as , we have proved that is finer than .
To define the we proceed by induction on using the following lemma:
Lemma 2
Let be a convex neighbourhood of 0 in , a vector subspace of a locally convex space . Then there exists a convex neighbourhood of 0 in such that . Further, if is closed in , then, for every point , there exists a convex neighbourhood of 0 in such that and .
In fact, by hypothesis there exists a convex neighbourhood of 0 in such that . Clearly, the convex envelope of in is a neighbourhood of 0 in ; we show that . For, every point is of the form with , and (II, p. 9, prop. 8); if , and then necessarily , therefore and hence ; the result is obviously true if . If is closed in , the space is Hausdorff, thus there exists a convex neighbourhood of 0 in such that does not meet ; then the convex envelope of fulfils the required conditions.
Returning to the theorem, to prove the second part of (i) note that if then for some ; if and is Hausdorff then there is a neighbourhood of 0 for , which does not contain . We see that there is a neighbourhood of 0 for such that , hence , and it follows that is Hausdorff.
(ii) Let ; there exists such that , thus, as is closed in for (because of the hypothesis that induces on for every ) there exists in the topology a convex neighbourhood of 0 in such that is empty. Now we saw in (i) that there exists a convex neighbourhood of 0 for such that ; and thus , therefore , which proves (ii).
(iii) From lemma 1, if is a minimal Cauchy filter for (GT, II, § 3.2) then there exists a such that the trace of on is a filter ; from (i) this last is a Cauchy filter for and thus converges in by hypothesis; but as the filter on generated by is finer than , we see that has a cluster point for and thus converges for .
When for all the topology induced on by is just we say that is the strict inductive limit of the sequence and that the space with the topology is the strict inductive limit of the sequence of locally convex spaces .
Remark
— 1) Suppose that is the union of an increasing directed, non-enumerable family of subspaces , each having a locally convex topology , such that, for , the topology induced on by is identical with . It may be the case that the topology induced on each by the topology is equal to and that the are Hausdorff and complete, but that is not complete for (INT, III, 2nd ed., § 1, exerc. 2).
2) Let be a locally convex space, which is the union of an increasing sequence of vector subspaces , and for each index , let be the topology induced on by the topology of . One should beware that in general is not the inductive limit of the .
3) Suppose that is the strict inductive limit of the sequence ; if is a closed (in ) vector subspace of , it may be the case that the strict inductive limit of the topologies induced by the on is strictly finer than the topology induced by (IV, p. 63, exerc. 10).
Proposition 10
Let E, F be two locally convex spaces. Suppose that :
1) There exists a family of Fréchet spaces , and for each a linear mapping , such that the topology of E is the final locally convex topology for the family .
2) There exists a sequence of Fréchet spaces and for each n a continuous linear injection such that .
Then every linear mapping u of E in F, whose graph is closed in , is necessarily continuous.
To prove that is continuous, it is sufficient to show that for every , the mapping is continuous (II, p. 27, prop. 5). Now the graph of is the inverse image of the graph of under the continuous mapping , and therefore is, by hypothesis, closed in . We can, therefore, restrict ourselves to the case when E itself is a Fréchet space. But then the proposition is a particular case of I, p. 20, prop. 1.
Corollary
With the same hypotheses on E and F as in prop. 10 and assuming that E is Hausdorff, then every continuous surjective mapping v of F in E is a strict morphism.
Let N be the kernel of and write ; then the mapping , deduced from by taking quotients, is injective and continuous, also is a Fréchet space (since is closed) and is the union of the images under . By hypothesis, in the canonical factorisation , the linear mapping is bijective and continuous and its graph in is therefore closed (GT, I, § 8.1, cor. 2 of prop. 2). By the remarks at the beginning and by prop. 10, the inverse mapping of is therefore continuous and the corollary is proved.
\* Prop. 10 and its corollary apply in particular when E is a complete bornological space (III, p. 12) and F is the inductive limit of a sequence of Fréchet spaces. \*
7. Remarks on Fréchet spaces
We are going to consider prop. 2 of GT, IX, § 3.1 in the case of locally convex spaces.
Proposition 11
Let E be a metrisable locally convex space. The topology of E can be defined by a distance that is invariant under translations, and for which the open balls are convex.
Let be a sequence of semi-norms that define the topology of E. Let be the pseudometric defined by for in E; it is invariant under translations. For every , and every real number , let be the set of for which . If , then , and in the other case is formed from the such that ; in all cases is convex.
For in define . We see immediately that is a distance, invariant under translations on and defining the topology of . For and , the open ball with centre and radius (for the distance ) is equal to , therefore it is convex.
Proposition 12
Let and be two Fréchet spaces and a continuous linear mapping of on . Then there exists a section of that is continuous though not necessarily linear.
By prop. 11 there exists a distance in , invariant under translations, defining the topology of and for which open balls are convex. Given and in , let be the distance apart of the closed sets and in . As is a strict morphism (I, p. 17, th. 1) the remark of GT, IX, § 3.1 shows that is a distance on defining the topology of . We shall construct, inductively, a sequence of continuous mappings of in satisfying the following inequalities for all :
Suppose then that either , or and that has been constructed. Let ; as is surjective, the set is non-empty, and for , we have by the induction hypothesis. Therefore there exists a point of such that and for , . As the mapping is continuous, the set of points of which satisfy the inequalities and is an open neighbourhood of . Hence there exist an open covering of and constant mappings of in which satisfy the inequalities (2) and (3) in where one replaces by . As the space is metrisable, there exists a continuous partition of unity , that is locally finite and subordinate to the covering (GT, IX, § 4.5, th. 4 and § 4.4, cor. 1). For every , put . The mapping of in is continuous; as the open balls are convex in and in , the mapping satisfies the inequalities (2) and (3) for all .
From inequality (3) the mappings form a Cauchy sequence, for uniform convergence. As is complete, the sequence converges uniformly to a continuous mapping (GT, X, § 1.6); formula (2) shows that is the identity mapping of , thus is a continuous section of .
Corollary
If is a compact set in , then there exists a compact set in such that .
It is sufficient to put , where is a continuous section of .
Remark
— 1) The corollary to prop. 12 can also be deduced from th. 1 of I, p. 17 and prop. 18 of GT, IX, § 2.10. 2) We keep the notations of prop. 12. Let be a continuous semi-norm on ;
for all , put , so that is a continuous semi-norm on (II, p. 4). Let be a lower semi-continuous mapping of in the interval of . We show that there exists a continuous section s of u such that .
Let be a continuous section of (prop. 12) and the kernel of . Let , then there exists such that . There exists an open neighbourhood of in such that for all . Hence there is an open covering of and constant mappings such that for all . As is metrisable, there exists a locally finite continuous partition of unity subordinated to the covering , say (GT, IX, § 4.5, th. 4 and § 4.4, cor. 1). The mapping of in defined by fulfils the stated conditions.
Exercises
See the exercises for § 4.