§ 1. Semi-norms
Throughout this paragraph, denotes a non-discrete valued division ring.
1. Definition of semi-norms
Definition 1
Let E be a left vector space over . A mapping of E in , is called a semi-norm on E if it satisfies the following axioms : (SN_I) If and then . (SN_II) If and then .
Since and , from , we deduce
Example 1
A norm on E is a semi-norm such that the relation implies that (I, p. 3).
Example 2
For every linear form on E, the function is a semi-norm on E.
Example 3
If is a finite set of semi-norms on E, then clearly and (where the are ) are both semi-norms on E.
A mapping of E in is called an ultra-semi-norm if it satisfies (SN) and the following axiom :
(SN) *If and , then .
Clearly an ultra-semi-norm is a semi-norm.
To say that the absolute value on K is ultrametric (CA, VI, § 6.2) means that it is an ultra-semi-norm on the left vector space , which is not identically zero.
Proposition 1
Let E be a left topological vector space over K and let p be a semi-norm on E. The following conditions are equivalent :* a) p is continuous in E. b) p is continuous at the point 0. c) p is uniformly continuous. d) For each real number , the set W(p, ), of those for which , is open in E. e) There exists a real number , such that W(p, ) is a neighbourhood of 0 in E. f) *For every real number , the set V(p, ), of those for which , is a neighbourhood of 0 in E.
In fact, the implications c) a) b) d) e) f) c) follow immediately from (SN) and inequality (1).
Corollary
If p is a continuous semi-norm on E and q is a semi-norm such that , then q is continuous in E.
When p is an ultra-semi-norm on E, then the sets W(p, ) and V(p, ) are both open and closed. For, we have seen that W(p, ) is open; on the other hand if z is a cluster point of W(p, ), then there exists such that , and from (SN) we have , thus W(p, ) is closed. Also, V(p, ) is closed since p is continuous; further if and , then by (SN), and this shows that V(p, ) is open.
2. Topologies defined by semi-norms
Let p be a semi-norm on the vector space E over K; for every let V(p, ) be the subset of those x of E for which . Clearly, if and is such that , then , in other words V(p, ) is balanced. Further, for every , there exists a non-zero scalar such that , therefore that is to say V(p, ) is absorbent. Finally, from (SN), we have , and from (SN) that for every non-zero scalar in K we have . We conclude from these remarks, by I, p. 7, prop. 4, that, when varies in the set of numbers (or only in a sequence of strictly positive numbers tending to 0) then the sets V(p, ) constitute a fundamental system of neighbourhoods of 0 for a topology compatible with the vector space structure of E; we say that this topology is defined by the semi-norm p. A vector space E with such a topology is called a semi-normed space. Note that if W(p, ) is the subset of x of E such that , then the W(p, ) constitute (where , or varies in a strictly positive sequence of numbers tending to zero) a fundamental system of neighbourhoods of 0 for the topology defined by .
If is a set of semi-norms on , then the upper bound of the topologies defined by the semi-norms is compatible with the vector space structure (I, p. 10, cor. 4). A fundamental system of neighbourhoods of 0, for this topology, is given by the finite intersections where and . This topology is said to be defined by the set of semi-norms . It is the coarsest topology on amongst those that are invariant under all translations and for which the semi-norms are continuous.
Let be a topological vector space over : a system of semi-norms on , say , is called a fundamental system of semi-norms if the topology on is the same as the topology defined by .
Let be a vector space over , with the topology defined by a set of semi-norms . For every semi-norm , we have , which shows that the function is a pseudometric on (GT, IX, § 1.1): it follows from the definitions that, when varies in , the set of these pseudometrics defines the uniform structure of the topological vector space .
Remark
— 1) The topology defined by a finite set of semi-norms () on , can be defined by the single semi-norm . But a topology defined by an infinite set of semi-norms cannot, in general, be defined by a single semi-norm (III, p. 37, exerc. 2).
2) Let be a family of topologies on a vector space over , each of which is defined by a family of semi-norms . Then the topology defined by the set of semi-norms is the upper bound of the topologies .
3) If is a set of semi-norms directed by the increasing order relation defined between two semi-norms on by « there exists such that », then a fundamental system of neighbourhoods of 0, for the topology defined by , is obtained by taking the sets where and . If is any set of semi-norms on , then a filtered set of semi-norms, defining the same topology as , is the set of upper envelopes of all finite families of semi-norms belonging to .
4) Even if , the topology of a topological vector space over cannot always be defined by a set of semi-norms (cf. II, p. 24, corollary).
Example
— Let be the vector space over of real valued functions that are infinitely differentiable in . For every function and every pair of integers , , put
with . Obviously the are semi-norms on . In order that the functions tend to 0 (following a filter on the set of indices) in for the topology defined by the semi-norms , it is necessary and sufficient that for all integers , the functions tend to 0 (following ) uniformly on every compact subset of . We say that is the topology of compact convergence for the functions and all their derivatives (cf. III, p. 9).
Proposition 2
On a vector space* , let be the topology defined by a set of semi-norms .
(i) *The closure of {0} in E, for , is the subset of for which for every semi-norm .
(ii) If is Hausdorff and is enumerable, then is metrisable.
The proposition follows immediately from the definitions and from GT, IX, § 2 . 4, cor. 1.
Note that if is metrisable, it may be that cannot be defined by a single norm; this is the case in the example given above (cf. IV, p. 18, Example 4).
Let E be a vector space over K, with the topology defined by a set of semi-norms . Let be the Hausdorff completion of E (I, p. 6), and be the set of mappings of in where varies in (GT, II, § 3 . 7, prop. 15). By the principle of extending inequalities, the functions are semi-norms on , and the functions form a set of pseudometrics defining the uniform structure of (GT, IX, § 1 . 3, prop. 1). We see, therefore, that is a fundamental set of semi-norms defining the topology of .
3. Semi-norms in quotient spaces and in product spaces
Let E be a topological vector space over K, whose topology is defined by , a set of semi-norms. Clearly, the restrictions of the semi-norms of to a vector sub-space M of E, define the topology induced on M by that of E.
Let be the canonical mapping of E on the vector quotient space E/M. We show that, for every semi-norm on E, the function
is a semi-norm on E/M. In fact, it is clear that satisfies the condition (SN); on the other hand, if are two vectors of E/M, we have:
which shows that verifies (SN). We say that is the quotient semi-norm of by M.
The same reasoning proves that, if is an ultra-semi-norm, then so also is .
This being so, we have (in the notation of No. 2)
for every . In fact, to say that , means that there exists such that and , from which the relation (4) follows.
We deduce from this, that, if the set of semi-norms is directed (II, p. 3, Remark 3), then the quotient topology on is defined by the set of semi-norms , when varies in .
If is the closure of in , the topology of is defined by the quotient semi-norms , where varies in (even if is not filtered): here for every belonging to the class . Note that is none other than the Hausdorff space associated with (I, p. 4).
Let be a vector space over and be a family of vector spaces over , where has the topology defined by a set of semi-norms . For each , let be a linear mapping of in ; clearly when varies in the set , then the form a set of semi-norms on . The topology on , defined as being the coarsest of all those which make all the mappings continuous (I, p. 9) is then defined by the set of semi-norms , this follows from the definition of neighbourhoods of 0 for (GT, I, § 2.3, prop. 4).
If the are ultra-semi-norms, then so are the .
Let be a vector space over , with the topology defined by a family of semi-norms ; for every , let be the topology defined by the single semi-norm , and denote by the space obtained from using the topology . Then the topology is the inverse image by the diagonal mapping of the product topology on (I, p. 9, prop. 7). For each , write for the closure of in , and by , the normed space defined by the norm corresponding to (II, p. 4, formula (3)); if is the canonical mapping and the product mapping, we know that the product topology on is the inverse image by of the product topology on (GT, II, § 3.9, prop. 18). The topology is, therefore, the inverse image under the composite mapping of the product topology on . In particular, if is Hausdorff then it follows from II, p. 3, prop. 2 that the mapping is injective, therefore:
Proposition 3
Every Hausdorff topological vector space* over , whose topology is defined by a set of semi-norms, is isomorphic to a sub-space of a product of Banach spaces.
If, further, the topology of is defined by an enumerable set of semi-norms, then is metrisable (I, p. 16).
4. Equicontinuity criteria of multilinear mappings for topologies defined by semi-norms
Proposition 4
Let* () and be topological vector spaces over ; we suppose that, for every , the topology of is defined by a directed set of semi-norms , and that the topology of is defined by a set of semi-norms . Then a set , of multilinear mappings of in F is equicontinuous if, and only if, for each semi-norm , and each index i, there exists a semi-norm , and a number , such that for each function and point ,
The condition is sufficient since it implies that H is equicontinuous at (0, 0, ..., 0) and therefore everywhere (I, p. 9, prop. 6).
We show that the condition is necessary. By hypothesis, for every semi-norm and every number , we have for every function provided that are true for each index , , and certain appropriately chosen numbers and semi-norms . As K is non-discrete, we can also suppose that, for every , we have where . Then let be any point of , and for each index , let be an integer such that ; this can be written as (), therefore, by hypothesis, we have
Suppose firstly that one of the is zero, then we can take arbitrarily large, therefore . If, on the contrary, all the are , take the integer such that for each ; then we have , from which, by (6), the relation (5) follows with
Q.E.D.
Corollary
— *The set H is equicontinuous if, and only if, for every semi-norm , there exists a neighbourhood of 0 in , in which the functions , for , are uniformly bounded.
The condition is evidently necessary, and the demonstration of prop. 4 shows that it implies an inequality of the form (5) for all , and therefore the equicontinuity of H.
We state explicitly the particular case of prop. 4 for linear mappings.
Proposition 5
— Let E, F be two topological vector spaces over a non-discrete valued division ring K; suppose that the topology of E (resp. F) is defined by a set of semi-norms (resp. ). Let H be a set of linear mappings of E in F. The following conditions are equivalent : a) H is equicontinuous.
b) For every semi-norm , there exists a finite family of semi-norms belonging to and a number such that, for all and all ,
c) For every semi-norm , the mapping is a continuous semi-norm on .
Corollary 1
— Suppose that are two topologies on a vector space over defined, respectively, by two sets of semi-norms and . is finer than if, and only if, for every semi-norm , there exists a finite family of semi-norms belonging to and a number such that, for all , we have .
In fact this shows that the identity mapping of with topology , on with topology , is continuous.
Corollary 2
— Suppose that the topology of a topological vector space over is defined by a directed set of semi-norms ; for each semi-norm , let be the space obtained from using the topology defined by . The set of linear forms on that are continuous for is the union of the sets , where is the set of continuous linear forms in ().