Bourbaki

§ 6. Weak topologies

1. Dual vector spaces

Let FF and GG be two real vector spaces and let (x,y)↦B(x,y)(x, y) \mapsto B(x, y) be a bilinear form on F×GF \times G. We say that the bilinear form BB puts the vector spaces FF and GG in duality, or that F and G are in duality (relative to B). Recall that we say that x∈Fx \in F and y∈Gy \in G are orthogonal (for the duality defined by B) if B(x,y)=0B(x, y) = 0; we say that a subset M of F and a subset N of G are orthogonal if every x∈Mx \in M is orthogonal to every y∈Ny \in N (A, IX, § 1.2).

We say that the duality defined by B is separating in F (resp. in G) if it satisfies the following condition :

(D_I) For every x≠0x \neq 0 in F, there exists y∈Gy \in G such that B(x,y)≠0B(x, y) \neq 0. (resp.

(D_{II}) *For every y≠0y \neq 0 in G, there exists x∈Fx \in F such that B(x,y)≠0B(x, y) \neq 0.)

The duality defined by B is said to be separating if it is both separating in F and in G. For this to be so, it is necessary and sufficient that the bilinear form B should be separating in the sense of A, IX, § 1.1. More precisely we have the following result :

Proposition 1

Let F, G be two real vector spaces and B a bilinear form on F×GF \times G. Let

dB:y↦B(.,y), d_B : y \mapsto B(., y),
sB:x↦B(x,.) s_B : x \mapsto B(x, .)

be linear mappings of G in the dual F∗F^* of F and of F in the dual G∗G^* of G, associated respectively to the right and to the left of B (A, IX, § 1.1). Then B puts F and G in a duality separating in G (resp. in F), if and only if dBd_B (resp. sBs_B) is injective.*

When F and G are put in separating duality by B, we often identify F (resp. G) with a subspace of G∗G^* (resp. F∗F^*) by means of sBs_B (resp. dBd_B). When we consider F (resp. G) as a subspace of G∗G^* (resp. F∗F^*) without specifying how this identification is to be made, we are always using the preceding identifications; the bilinear form B is then identified with the restriction to F×GF \times G of the canonical bilinear form :

(x∗,x)↦⟨x,x∗⟩(resp. (x,x∗)↦⟨x,x∗⟩). (x^*, x) \mapsto \langle x, x^* \rangle \quad (\text{resp. } (x, x^*) \mapsto \langle x, x^* \rangle).

Example

— 1) Let E be a vector space and let E* be its dual. The canonical bilinear form (x,x∗)↦⟨x,x∗⟩(x, x^*) \mapsto \langle x, x^* \rangle on E×E∗E \times E^* (A, II, § 2.3) puts E and E* in separating duality : for (D_{II}) is true because of the definition of the relation x∗≠0x^* \neq 0, and we know on the other hand, that for all x≠0x \neq 0 in E, there exists a linear form x∗∈E∗x^* \in E^* such that ⟨x,x∗⟩≠0\langle x, x^* \rangle \neq 0 (A, II, § 7.5, th. 6), which proves (D_I); the identifications of E with a subspace of E∗∗E^{**} is made here by the canonical mapping cEc_E (loc. cit.).

When E is of finite dimension, the only subspace G of E* that is in separating duality by the restriction to E×GE \times G of the canonical bilinear form, is the space E* itself ; for, E being then canonically identified with E∗∗E^{**} (loc. cit.), if we had G≠E∗G \neq E^*, there would exist a≠0a \neq 0 in E such that ⟨a,x∗⟩=0\langle a, x^* \rangle = 0 for all x∗∈Gx^* \in G (A, II, § 7.5, th. 7), which contradicts the hypothesis.

2) When E is an infinite dimensional vector space, and E' is a vector subspace of E*, the duality between E and E' defined by the restriction to E×E′E \times E' of the canonical bilinear form is always separating in E' ; it can be separating in E even if E′≠E∗E' \neq E^*. The most important case occurs where E is a topological vector space.

Cites 2

Cites II § 2. Convex sets, II § 7. Extremal points and extremal generators

Definition 1

— By the dual of a topological vector space E, we mean the subspace E' of E, the dual of the vector space E, formed by the continuous linear forms on E.

Cites 1

Cites II § 4. Locally convex spaces

When E is a Hausdorff locally convex space, the duality between E and its dual E' is separating : this follows from the Hahn-Banach theorem (II, p. 24, cor. 1) that for every x≠0x \neq 0 in E, there exists x′∈E′x' \in E' such that ⟨x,x′⟩≠0\langle x, x' \rangle \neq 0.

Remark

— 1) When E is a topological vector space, the dual E∗E^* of the vector space E will be called the algebraic dual of E to avoid confusion. We note also that E∗E^* is the dual of the topological vector space obtained by giving E the finest locally convex topology (II, p. 25, Example 2). 2) The dual E' of a topological vector space does not itself carry a topology, unless this is expressly stated. 3) If F and G⊂F∗G \subset F^* are in separating duality by the canonical bilinear form, then this is also true of F and G1G_1, for every subspace G1G_1 of F∗F^* such that G⊂G1G \subset G_1.

Cites 1

Cites II § 4. Locally convex spaces

2. Weak topologies

Definition 2

— *Let F and G be two vector spaces put in duality by the bilinear form B. The coarsest topology on F that makes all the linear forms B(.,y):x↦B(x,y)B(., y): x \mapsto B(x, y) continuous, where y varies in G, is called the weak topology on F defined by the duality between F and G, and we denote it by σ(F,G)\sigma(F, G).

Cites 1

Cites II § 4. Locally convex spaces

Similarly we define the weak topology σ(G,F)\sigma(G, F) on G, interchanging F and G in definition 1 ; this possibility of interchanging F and G applies to all the results and definitions that follow in this paragraph.

We use the adjective « weak » and the adverb « weakly » to denote properties relative to a weak topology σ(F,G)\sigma(F, G) provided there is no possibility of confusion. We shall speak, for example, of « weak convergence » and « weakly continuous functions » etc.

When G⊂F∗G \subset F^*, the notation σ(F,G)\sigma(F, G) will always denote the weak topology defined by the duality corresponding to the restriction to F×GF \times G of the canonical bilinear form (x,x∗)↦⟨x,x∗⟩(x, x^*) \mapsto \langle x, x^* \rangle.

Without extra hypotheses on F and G, we often write ⟨x,y⟩\langle x, y \rangle for the value B(x,y)B(x, y) of the bilinear form B at (x,y)(x, y), provided there is no ambiguity ; we shall adopt this convention in the rest of this paragraph.

A vector space F carrying a weak topology of σ(F,G)\sigma(F, G) will be called a weak space.

A weak topology σ(F,G)\sigma(F, G) is locally convex (II, p. 26, prop. 4) ; more precisely, it is the inverse image of the product topology of RG\mathbf{R}^G by the linear mapping ϕ:x↦(⟨x,y⟩)y∈G\phi : x \mapsto (\langle x, y \rangle)_{y \in G} of F in RG\mathbf{R}^G. It is defined by the set of semi-norms x↦∣⟨x,y⟩∣x \mapsto |\langle x, y \rangle| when y varies in G (II, p. 5). For every α>0\alpha > 0, and every finite family (yi)1≤i≤n(y_i)_{1 \leq i \leq n} of points of G, let W(y1,...,yn;α)W(y_1, ..., y_n; \alpha) be the set of the x∈Fx \in F such that ∣⟨x,yi⟩∣≤α|\langle x, y_i \rangle| \leq \alpha for 1≤i≤n1 \leq i \leq n; these sets (for α,n\alpha, n and yiy_i arbitrary) form a fundamental system of neighbourhoods of 0 for σ(F,G)\sigma(F, G). Note that W(y1,...,yn;α)W(y_1, ..., y_n; \alpha) contains that vector subspace of F, of finite codimension, which is defined by the equations ⟨x,yi⟩=0\langle x, y_i \rangle = 0 for 1≤i≤n1 \leq i \leq n.

Proposition 2

— The weak topology σ(F,G)\sigma(F, G) is Hausdorff if and only if the duality between FF and GG is separating in FF.

This is a particular case of II, p. 3, prop. 2.

Proposition 3

— Let FF and GG be two real vector spaces in duality. Every linear form on FF, that is continuous for σ(F,G)\sigma(F, G), can be written as x↦⟨x,y⟩x \mapsto \langle x, y \rangle for some y∈Gy \in G. The element y∈Gy \in G is unique when the duality is separating in GG.

Cites 2

Cites II § 7. Extremal points and extremal generators, § 6. Weak topologies

For, to say that the linear form ff on FF is continuous for σ(F,G)\sigma(F, G) means that there exists a finite set of points yi∈Gy_i \in G (1≤i≤n1 \leq i \leq n) such that, for all xx in FF, ∣f(x)∣≤sup⁡1≤i≤n∣⟨x,yi⟩∣|f(x)| \leq \sup_{1 \leq i \leq n} |\langle x, y_i \rangle| (II, p. 6, prop. 5). The nn relations ⟨x,yi⟩=0\langle x, y_i \rangle = 0 (1≤i≤n1 \leq i \leq n) imply therefore f(x)=0f(x) = 0, and hence (A, II, § 7.5, cor. 1), there exists a linear combination y=∑i=1nλiyiy = \sum_{i=1}^n \lambda_i y_i such that f(x)=⟨x,y⟩f(x) = \langle x, y \rangle for all x∈Fx \in F. The uniqueness follows from (DII_\text{II}).

In other words, when the duality is separating in GG, and FF has the topology σ(F,G)\sigma(F, G), then we can identify GG canonically with the dual of FF for this topology (II, p. 42, def. 1).

Corollary 1

— A family (ai)(a_i) of points of FF is total for the topology σ(F,G)\sigma(F, G) if, and only if, for every y≠0y \neq 0 in GG, there exists an index ii such that ⟨ai,y⟩≠0\langle a_i, y \rangle \neq 0.

Cites 2

Cites I § 2. Linear varieties in a topological vector space, II § 5. Separation of convex sets

For using prop. 3 and I, p. 13, th. 1, the property expresses the fact that for σ(F,G)\sigma(F, G) no closed hyperplane contains all the aia_i; the corollary follows therefore from cor. 3 of II, p. 38.

Corollary 2

— A family (ai)(a_i) of points of FF is topologically independent for the topology σ(F,G)\sigma(F, G), if, and only if, for every index ii, there exists an element bi∈Gb_i \in G such that : ⟨ai,bi⟩≠0\langle a_i, b_i \rangle \neq 0 and ⟨aκ,bi⟩=0\langle a_\kappa, b_i \rangle = 0 for all κ≠i\kappa \neq i.

This means, that for all ii, there exists a closed hyperplane in σ(F,G)\sigma(F, G), which contains all the aκa_\kappa with index κ≠i\kappa \neq i but does not contain aia_i.

Corollary 3

— Let G1G_1 and G2G_2 be two vector subspaces of F∗F^*, in duality with FF (for the restriction of the canonical bilinear form). Then σ(F,G2)\sigma(F, G_2) is finer than σ(F,G1)\sigma(F, G_1) if and only if G1⊂G2G_1 \subset G_2.

The condition is obviously sufficient; conversely, if σ(F,G2)\sigma(F, G_2) is finer than σ(F,G1)\sigma(F, G_1), then every linear form that is continuous for σ(F,G1)\sigma(F, G_1) is also continuous for σ(F,G2)\sigma(F, G_2), hence G1⊂G2G_1 \subset G_2 by prop. 3.

Corollary 4

— Let GG be a vector subspace of the dual F∗F^*, of the vector space FF. Then FF and GG are in separating duality (for the canonical bilinear form) if, and only if, GG is dense in F∗F^* in the topology σ(F∗,F)\sigma(F^*, F).

This follows from cor. 1.

3. Polar sets and orthogonal subspaces

Definition 2

Let F and G be two (real) vector spaces in duality. For every set M of F we call the polar of M, the set of those y ∈ G for which ⟨x,y⟩≥−1\langle x, y \rangle \geq -1 for all x∈Mx \in M. (For complex vector spaces, cf. II, p. 64.)

Cites 1

Cites III § 1. Bornology in a topological vector space

If G1,G2G_1, G_2 are two subspaces of F∗F^* such that G1⊂G2G_1 \subset G_2, then the polar of M in G1G_1 is the intersection of G1G_1 with the polar of M in G2G_2.

When there is no danger of confusion we use M∘M^\circ to denote the polar, in G, of the subset M of F. Similarly we define the polar in F of a set in G.

Obviously, for every scalar λ≠0\lambda \neq 0 and all M⊂FM \subset F, we have (λM)∘=λ−1M∘(\lambda M)^\circ = \lambda^{-1} M^\circ. The relation M⊂N⊂FM \subset N \subset F implies N∘⊂M∘N^\circ \subset M^\circ; if N absorbs M then M∘M^\circ absorbs N∘N^\circ; for every family (Mα)(M_\alpha) of sets of F, the polar set of ⋃αMα\bigcup \alpha M_\alpha is the intersection of the polar sets Mα∘M_\alpha^\circ. Since, for y∈M∘y \in M^\circ, the closed half-spaces defined by the relations ⟨x,y⟩≥−1\langle x, y \rangle \geq -1 contain 0 and M, we see that if M1M_1 is the convex envelope of M∪{0}M \cup \{0\}, then M1∘=M∘M_1^\circ = M^\circ.

Clearly M⊂M∘∘M \subset M^{\circ \circ}. Hence

(M∘∘)∘⊂M∘⊂(M∘)∘∘=(M∘∘)∘ (M^{\circ \circ})^\circ \subset M^\circ \subset (M^\circ)^{\circ \circ} = (M^{\circ \circ})^\circ
i.e. M∘∘∘=M∘M^{\circ \circ \circ} = M^\circ (cf. S, III, § 1.5, prop. 2).

If M is a symmetric subset of F, M∘M^\circ is a symmetric subset of G; M∘M^\circ is also in this case the set of y∈Gy \in G such that ∣⟨x,y⟩∣≤1|\langle x, y \rangle| \leq 1 for all x∈Mx \in M.

Proposition 4

(i) For any set M of F, the polar set M∘M^\circ is a convex set that contains 0 and is closed in G for the topology σ(G,F)\sigma(G, F).

Cites 1

Cites II § 2. Convex sets

(ii) If M is a cone of vertex 0, then M∘M^\circ is a cone of vertex 0 and it is also the set of y∈Gy \in G such that ⟨x,y⟩≥0\langle x, y \rangle \geq 0 for all x∈Mx \in M.

(iii) If M is a vector subspace of F, then M∘M^\circ is a vector subspace of G, and it is also the set of y∈Gy \in G such that ⟨x,y⟩=0\langle x, y \rangle = 0 for all x∈Mx \in M.

(i) Since the linear forms y↦⟨x,y⟩y \mapsto \langle x, y \rangle are continuous for σ(G,F)\sigma(G, F) the statement follows immediately from the definitions and the fact that a half-space determined by a hyperplane is convex.

(ii) If M is a cone with vertex 0 and if x∈M,y∈M∘x \in M, y \in M^\circ, then as λx∈M\lambda x \in M, for all λ>0\lambda > 0, we have ⟨λx,y⟩≥−1\langle \lambda x, y \rangle \geq -1, i.e. λ⟨x,y⟩≥−1\lambda \langle x, y \rangle \geq -1. Since this holds for all λ>0\lambda > 0, it follows that ⟨x,y⟩≥0\langle x, y \rangle \geq 0, and (ii) is proved.

(iii) Similarly, if M is a vector subspace of F, the relations x∈M,y∈M∘x \in M, y \in M^\circ imply, this time, that λ⟨x,y⟩≥−1\lambda \langle x, y \rangle \geq -1 for all real λ\lambda which is possible only if ⟨x,y⟩=0\langle x, y \rangle = 0.

If M is a vector subspace of F we say that M∘M^\circ is the orthogonal of M in G; if G⊂F∗G \subset F^*, then M∘M^\circ is the intersection of G, and of the subspace orthogonal to M in the algebraic dual F∗F^* of F (A, II, § 2.4, def. 4).

For a vector subspace M of F and a vector subspace N of G we say that M and N are orthogonal if M⊂NoM \subset N^o (or, equivalently, if N⊂M∘N \subset M^\circ).

Theorem 1 (The bipolar theorem)

Let F, G be two real vector spaces in duality. For every subset M of F the polar set M∘∘M^{\circ \circ} in F of the polar set M∘M^\circ of M in G is the closed convex envelope (for σ(F,G)\sigma(F, G)) of M∪{0}M \cup \{0\}.

Cites 2

Cites II § 5. Separation of convex sets, § 6. Weak topologies

We have seen that we need only consider the case where MM is convex and 0∈M0 \in M. Denote the closure, in topology σ(F,G)\sigma(F, G) of MM by M‾\overline{M}, then M‾\overline{M} is a convex set in FF; prop. 4 of II, p. 44 shows that M∘∘⊇M‾M^{\circ\circ} \supseteq \overline{M}. On the other hand if a∈Fa \in F does not belong to M‾\overline{M} then there exists a closed hyperplane HH in FF which separates aa strictly from M‾\overline{M} (II, p. 38, prop. 4); since HH does not contain 0, there exists y∈Gy \in G such that HH has the equation ⟨x,y⟩=−1\langle x, y \rangle = -1 (II, p. 43, prop. 3); thus ⟨x,y⟩>−1\langle x, y \rangle > -1 for all x∈M‾x \in \overline{M} and ⟨a,y⟩<−1\langle a, y \rangle < -1. This implies that y∈M∘y \in M^\circ and a∉M∘∘a \notin M^{\circ\circ}, and the relation M∘∘=M‾M^{\circ\circ} = \overline{M} follows.

Corollary 1

For any family* (Mα)(M_\alpha) of closed convex sets of FF (in the topology σ(F,G)\sigma(F, G)*), each containing* 0, the polar set of the intersections M=⋂αMαM = \bigcap \limits_{\alpha} M_\alpha is the convex closed envelope (for σ(G,F)\sigma(G, F)) of the union of the Mα∘M_\alpha^\circ.

For, if NN is this convex closed envelope, then

N∘=⋂αMα∘∘=⋂αMα=M N^\circ = \bigcap \limits_{\alpha} M_\alpha^{\circ\circ} = \bigcap \limits_{\alpha} M_\alpha = M

whence N=N∘∘=M∘N = N^{\circ\circ} = M^\circ.

The conclusion of cor. 1 does not necessarily hold if the MαM_\alpha are not convex.

Corollary 2

For every vector subspace* MM of FF, the subspace M∘∘M^{\circ\circ} is the closure of MM in the topology σ(F,G)\sigma(F, G).

Remark

— Every neighbourhood of 0 in GG in the topology σ(G,F)\sigma(G, F) contains a neighbourhood VV defined by a finite number of inequalities of the form ∣⟨xi,y⟩∣≤1|\langle x_i, y \rangle| \leq 1 (1≤i≤n1 \leq i \leq n), where the xix_i are arbitrary points of FF. If AA is the symmetric convex envelope of the set of the xix_i, then VV is the polar set A∘A^\circ of AA in GG. We can say that the polars in GG of finite symmetric sets in FF (or of their convex envelopes) form a fundamental system of neighbourhoods of 0 in GG for σ(G,F)\sigma(G, F). If the duality is separating in FF, these convex envelopes are compact for σ(F,G)\sigma(F, G) (II, p. 14, cor. 1 of prop. 15), and of finite dimensions. Conversely every compact, convex set of finite dimension CC in FF (with the σ(F,G)\sigma(F, G) topology) is contained in the convex envelope of a finite subset of FF. For, let MM be a vector subspace of finite dimension containing CC. If (ei)1≤i≤n(e_i)_{1 \leq i \leq n} is a basis of MM, we can suppose that CC is contained in the closed parallelope centre 0 and constructed on the vectors of the basis eie_i (GT, VI, § 1.3); now it is immediate that this parallelope is the convex envelope of the points ∑i=1nεiei\sum \limits_{i=1}^n \varepsilon_i e_i with εi=±1\varepsilon_i = \pm 1.

Thus we can say that (if σ(F,G)\sigma(F, G) is Hausdorff) the polars of finite dimensional, convex, compact sets in FF (for σ(F,G)\sigma(F, G) or for any Hausdorff locally convex topology finer than σ(F,G)\sigma(F, G) on FF) form a fundamental system of neighbourhoods of 0 for σ(G,F)\sigma(G, F).

Cites 1

Cites II § 2. Convex sets

Corollary 3

Let* T\mathscr{T} be the topology of a locally convex space EE and let E′E' be its dual (II, p. 42, def. 1).

Cites 3

Cites § 6. Weak topologies, II § 2. Convex sets, II § 5. Separation of convex sets

(i) *The closed convex sets in E are the same for the topology T\mathscr{T} and for the weak topology σ(E,E′)\sigma(E, E').

(ii) *For every subset M of E, the polar set M∘∘M^{\circ\circ} in E of the polar set M∘M^\circ of M in E′E', is the convex closed envelope of M∪{0}M \cup \{0\} for the topology T\mathscr{T}.

Clearly, (ii) follows from (i) and th. 1. From the definition of the dual E′E', it follows from II, p. 43, prop. 3 that the continuous linear forms on E for the topology T\mathscr{T} are the same as the continuous linear forms for σ(E,E′)\sigma(E, E'). The closed half-spaces in E are therefore the same for T\mathscr{T} and for σ(E,E′)\sigma(E, E') (II, p. 15, prop. 17) and the assertion (i) follows therefore from II, p. 38, cor. 1.

4. Transposition of a continuous linear mapping

In this No., we suppose that (F, G) and (F1,G1)(F_1, G_1) are two vector spaces in duality.

Proposition 5

Let u be a linear mapping of F in F1F_1. The following properties are equivalent :

Cites 1

Cites § 6. Weak topologies

a) u is continuous for the weak topologies σ(F,G)\sigma(F, G) and σ(F1,G1)\sigma(F_1, G_1);

b) there exists a mapping v:G1→Gv : G_1 \to G such that

⟨u(y),z1⟩=⟨y,v(z1)⟩ \langle u(y), z_1 \rangle = \langle y, v(z_1) \rangle

for all y∈Fy \in F and z∈G1z \in G_1.

If these properties hold and if the duality between F and G is separating in G, then the mapping v satisfying (1) is unique, and v is linear.

If u is continuous for the weak topologies, then, for all z1∈G1z_1 \in G_1, the linear form y↦⟨u(y),z1⟩y \mapsto \langle u(y), z_1 \rangle on F is continuous for σ(F,G)\sigma(F, G), thus (II, p. 43, prop. 3) can be written as y↦⟨y,v(z1)⟩y \mapsto \langle y, v(z_1) \rangle with v(z1)∈Gv(z_1) \in G, which shows that a) implies b). Conversely, if b) is true, for all z1∈G1z_1 \in G_1, the linear form

y↦⟨y,v(z1)⟩=⟨u(y),z1⟩ y \mapsto \langle y, v(z_1) \rangle = \langle u(y), z_1 \rangle

is continuous for σ(F,G)\sigma(F, G) : it follows from the definition of weak topologies that u is continuous for σ(F,G)\sigma(F, G) and σ(F1,G1)\sigma(F_1, G_1) (I, p. 10, cor. 1). The uniqueness of v follows from (D_{II}) and this uniqueness implies that v is linear.

Remark

— Suppose that the duality between F and G is separating in G and that the duality between F1F_1 and G1G_1 is separating in G1G_1. If we identify G and G1G_1 with subspaces of F∗F^* and F1∗F_1^* respectively, the conditions a) and b) are equivalent to tu(G1)⊂G^t u(G_1) \subset G; v is the restriction of the transpose tu^t u of u (A, II, § 2.5) to G1G_1.

We say, simply (when there is no chance of confusion) that v is the transpose of u (relative to the duality on the one hand between F and G and on the other hand between F1F_1 and G1G_1) and we again use tu^t u to denote it.

Cites 1

Cites II § 2. Convex sets

Corollary

Suppose that the duality between F and G is separating in G. If u is a linear mapping of F in F1F_1, that is continuous for σ(F,G)\sigma(F, G) and σ(F1,G1)\sigma(F_1, G_1), then its* transpose is a linear mapping of G1G_1 in GG, that is continuous for σ(G1,F1)\sigma(G_1, F_1) and σ(G,F)\sigma(G, F). Further if the duality between F1F_1 and G1G_1 is separating in F1F_1 then t(tu)=u{}^t({}^t u) = u.

It is sufficient to exchange FF and F1F_1 with GG and G1G_1 in prop. 5.

Proposition 6

Suppose that the duality between FF and GG (resp. F1F_1 and G1G_1) is separating in GG (resp. F1F_1). Let uu be a linear mapping of FF in F1F_1 that is continuous for σ(F,G)\sigma(F, G) and σ(F1,G1)\sigma(F_1, G_1). Let AA be a set in FF and A1A_1 a set in F1F_1; then*:

(i) *We have (u(A))∘=tu−1(A∘)(u(A))^{\circ} = {}^t u^{-1}(A^{\circ}).

Cites 1

Cites § 6. Weak topologies

(ii) We have tu(A1∘)⊂(u−1(A1))∘{}^t u(A_1^{\circ}) \subset (u^{-1}(A_1))^{\circ}; further, if AA is closed, (for σ(F1,G1)\sigma(F_1, G_1)) convex, and contains the origin, then we have tu(A1∘)=(u−1(A1))∘{}^t u(A_1^{\circ}) = (u^{-1}(A_1))^{\circ}.

Let z1∈G1z_1 \in G_1, the relation z1∈(u(A))∘z_1 \in (u(A))^{\circ} is equivalent to ⟨u(y),z1⟩≥−1\langle u(y), z_1 \rangle \geq -1 for all y∈Ay \in A, and the relation tu(z1)∈A∘{}^t u(z_1) \in A^{\circ} is equivalent to ⟨y,tu(z1)⟩≥−1\langle y, {}^t u(z_1) \rangle \geq -1 for all y∈Ay \in A and our assertion (i) follows using (1). Next interchanging uu and tu{}^t u and applying (i) to the set A1∘A_1^{\circ} of G1G_1 we get

(tu(A1∘))∘=u−1(A1∘∘)⊃u−1(A1) ({}^t u(A_1^{\circ}))^{\circ} = u^{-1}(A_1^{\circ \circ}) \supset u^{-1}(A_1)

from which, on taking polars

(tu(A1∘))∘∘⊂(u−1(A1))∘. ({}^t u(A_1^{\circ}))^{\circ \circ} \subset (u^{-1}(A_1))^{\circ} .

We have tu(A1∘)⊂(tu(A1∘))∘∘{}^t u(A_1^{\circ}) \subset ({}^t u(A_1^{\circ}))^{\circ \circ} by the bipolar theorem (II, p. 44, th. 1); the final statement follows from (2) and the bipolar theorem since then A1∘∘=A1A_1^{\circ \circ} = A_1 and tu(A1∘){}^t u(A_1^{\circ}) is convex and contains the origin.

Corollary 1

With the notations of prop. 6, the relation u(A)⊂A1u(A) \subset A_1 implies tu(A1∘)⊂A∘{}^t u(A_1^{\circ}) \subset A^{\circ}; if further A1A_1 is convex, closed (for σ(F1,G1)\sigma(F_1, G_1)) and contains the origin, then these two relations are equivalent.

In fact, the relation u(A)⊂A1u(A) \subset A_1 equivalent to A⊂u−1(A1)A \subset u^{-1}(A_1), therefore implies

tu(A1∘)⊂tu(A1∘)⊂(u−1(A1))∘⊂A∘ {}^t u(A_1^{\circ}) \subset {}^t u(A_1^{\circ}) \subset (u^{-1}(A_1))^{\circ} \subset A^{\circ}

and conversely the relation tu(A1∘)⊂A∘{}^t u(A_1^{\circ}) \subset A^{\circ} implies

A∘∘⊂(tu(A1∘))∘=u−1(A1∘∘) A^{\circ \circ} \subset ({}^t u(A_1^{\circ}))^{\circ} = u^{-1}(A_1^{\circ \circ})

from (2). When A1=A1∘∘A_1 = A_1^{\circ \circ}, we deduce that A⊂u−1(A1)A \subset u^{-1}(A_1).

Corollary 2

Let uu be a linear mapping of FF in F1F_1 that is continuous for σ(F,G)\sigma(F, G) and σ(F1,G1)\sigma(F_1, G_1). We have then

(3)

Ker⁡(tu)=(Im⁡(u))∘, \operatorname{Ker}({}^t u) = (\operatorname{Im}(u))^{\circ} ,

(4)

Im⁡(tu)‾=(Ker⁡(u))∘. \overline{\operatorname{Im}({}^t u)} = (\operatorname{Ker}(u))^{\circ} .

Suppose that the dualities between FF and GG and between F1F_1 and G1G_1 are separating; then u(F)u(F) is dense in F1F_1 (for σ(F1,G1)\sigma(F_1, G_1)), if and only if tu{}^t u is injective.

Apply prop. 6 with A=FA = F and A1={0}A_1 = \{0\}, using the fact that the weak topologies σ(G,F)\sigma(G, F) and σ(F1,G1)\sigma(F_1, G_1) are Hausdorff. The last assertion results from (4), interchanging uu and tu^t u.

5. Quotient spaces and subspaces of a weak space

Let F,GF, G be two real vector spaces in duality. Let MM be a vector subspace of FF, and consider the subspace NN of the orthogonal M∘M^\circ in GG; if y1,y2y_1, y_2 are two points of GG that are congruent mod. NN then ⟨x,y1⟩=⟨x,y2⟩\langle x, y_1 \rangle = \langle x, y_2 \rangle for all x∈Mx \in M. For each class y˙\dot{y} mod. NN, denote the common value of ⟨x,y⟩\langle x, y \rangle when yy varies in y˙\dot{y} by ⟨x,y˙⟩\langle x, \dot{y} \rangle; clearly (x,y˙)↦⟨x,y˙⟩(x, \dot{y}) \mapsto \langle x, \dot{y} \rangle is a bilinear form on M×(G/N)M \times (G/N).

Proposition 7

— Let MM be a vector subspace of FF and NN a vector subspace of GG where FF and GG are two vector spaces in duality. Suppose that MM and NN are orthogonal (which is equivalent to saying that N⊂M∘N \subset M^\circ, or M⊂N∘M \subset N^\circ). The vector spaces MM and G/NG/N are then in duality by the bilinear form (x,y˙)↦⟨x,y˙⟩(x, \dot{y}) \mapsto \langle x, \dot{y} \rangle.

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Cites § 6. Weak topologies

(i) *The topology σ(M,G/N)\sigma(M, G/N) for this duality is induced by σ(F,G)\sigma(F, G) (and in particular we have σ(F,G)=σ(F,G/F∘)\sigma(F, G) = \sigma(F, G/F^\circ)).

(ii) *The topology σ(G/N,M)\sigma(G/N, M) for this duality is coarser than the quotient topology of σ(G,F)\sigma(G, F) by NN; these topologies are identical if and only if M+G∘=N∘M + G^\circ = N^\circ.

(i) Every element of G/NG/N is a class mod. NN of an element of GG; if zi(1≤i≤n)z_i (1 \leq i \leq n) are elements of GG and z˙i(1≤i≤n)\dot{z}_i (1 \leq i \leq n) is the class of ziz_i in G/NG/N then the set of y∈My \in M such that ∣⟨y,z˙i⟩∣≤α|\langle y, \dot{z}_i \rangle| \leq \alpha for 1≤i≤n1 \leq i \leq n is the trace on MM of the set of those x∈Fx \in F such that ∣⟨x,zi⟩∣≤α|\langle x, z_i \rangle| \leq \alpha for 1≤i≤n1 \leq i \leq n; the conclusion follows from the definition of neighbourhoods of 0 for the weak topology.

(ii) Let p:G→G/Np : G \to G/N be the canonical surjection. We show that the quotient topology T\mathscr{T} of σ(G,F)\sigma(G, F) by NN is identical with σ(G/N,N∘)\sigma(G/N, N^\circ). As, for z∈G,y∈N∘z \in G, y \in N^\circ, we have ⟨y,p(z)⟩=⟨y,z⟩\langle y, p(z) \rangle = \langle y, z \rangle, it follows that every neighbourhood of 0 for σ(G/N,N∘)\sigma(G/N, N^\circ) is of the form p(V)p(V), where VV is a neighbourhood of 0 for σ(G,F)\sigma(G, F) saturated for the relation z−z′∈Nz - z' \in N, therefore T\mathscr{T} is finer than σ(G/N,N∘)\sigma(G/N, N^\circ). Conversely let U=W(y1,...,yn;α)U = W(y_1, ..., y_n; \alpha) be a neighbourhood of 0 in GG for σ(G,F)\sigma(G, F), where yi∈Fy_i \in F for 1≤i≤n1 \leq i \leq n and α>0\alpha > 0; we are going to see that for 1≤i≤n1 \leq i \leq n, there exist elements ti∈N∘t_i \in N^\circ such that if one puts U′=W(t1,...,tn;α)U' = W(t_1, ..., t_n; \alpha), then p(U′)⊂p(U)p(U') \subset p(U); this will show that σ(G/N,N∘)\sigma(G/N, N^\circ) is finer than T\mathscr{T} and therefore is actually identical with T\mathscr{T}. Now, let LL be the vector subspace of FF generated by N∘N^\circ and the yiy_i, and denote by PP the complementary subspace of N∘N^\circ in LL; it is of finite dimension, say mm. Let (xj)1≤j≤m(x_j)_{1 \leq j \leq m} be a basis of PP; the restrictions to NN of the linear forms x↦⟨xj,z⟩x \mapsto \langle x_j, z \rangle are linearly independent, since otherwise there exists x≠0x \neq 0 in PP such that ⟨x,z⟩=0\langle x, z \rangle = 0 for all z∈Nz \in N, that is to say x∈N∘x \in N^\circ, which contradicts the definition of PP. Thus we conclude that for all z′∈Gz' \in G, there exists s∈Ns \in N such that ⟨xj,z′⟩=⟨xj,s⟩\langle x_j, z' \rangle = \langle x_j, s \rangle for all jj; if z′=z+sz' = z + s, we have ⟨x,z⟩=0\langle x, z \rangle = 0 for all x∈Px \in P. This being so, put yi=ti+wiy_i = t_i + w_i, where ti∈N∘t_i \in N^\circ and wi∈Pw_i \in P; we have ⟨yi,z⟩=⟨ti,z⟩=⟨ti,z′⟩\langle y_i, z \rangle = \langle t_i, z \rangle = \langle t_i, z' \rangle for 1≤i≤n1 \leq i \leq n; therefore, for all z′∈U′z' \in U', there exists z∈Uz \in U such that z′−z∈Nz' - z \in N, that is to say we have p(U′)⊂p(U)p(U') \subset p(U).

Returning to the case where M is any subspace of N°, note that evidently σ(G/N,M)=σ(G/N,M+G∘)\sigma(G/N, M) = \sigma(G/N, M + G^\circ); further, from prop. 3 of II, p. 43, we see that, if y∈N∘y \in N^\circ is such that the linear form z˙↦⟨y,z˙⟩\dot{z} \mapsto \langle y, \dot{z} \rangle is continuous for σ(G/N,M)\sigma(G/N, M), then necessarily y∈M+G∘y \in M + G^\circ. We conclude that the condition M+G∘=N∘M + G^\circ = N^\circ is necessary and sufficient for the quotient topology T\mathscr{T} to be equal to σ(G/N,M)\sigma(G/N, M).

Remark

— The duality between M and G/N (where M and N are two orthogonal subspaces) is separating in M, if and only if M∩G∘={0}M \cap G^\circ = \{0\}; it is separating in G/N, if and only if N=M∘N = M^\circ.

Corollary 1

— Suppose that the duality between F and G is separating in F. For a vector subspace M of F the topology σ(G/M∘,M)\sigma(G/M^\circ, M) is identical with quotient topology of σ(G,F)\sigma(G, F) by M∘M^\circ, if and only if M is closed for the topology σ(F,G)\sigma(F, G).

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Cites § 6. Weak topologies

This follows from prop. 7 putting N=M∘N = M^\circ, and recalling that M∘∘M^{\circ \circ} is the closure of M for σ(F,G)\sigma(F, G) (II, p. 45, cor. 2).

Corollary 2

— If M is of finite dimension n and the duality is separating in F, then M∘M^\circ is of codimension n in G. If M is closed for σ(F,G)\sigma(F, G) and of finite codimension n and if the duality is separating in G, then M∘M^\circ is of dimension n.

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Cites § 6. Weak topologies

For, G/M0G/M^0 is in separating duality with M; if M is of dimension n, the same is therefore true of G/M∘G/M^\circ (II, p. 41, example 1). If M is closed, F/M=F/M∘∘F/M = F/M^{\circ \circ} is in separating duality with M∘M^\circ; if F/M is of dimension n, it is therefore the same for M∘M^\circ (II, p. 41, example 1).

Corollary 3

— Let (F, G), (F_1, G_1) be two pairs of spaces in separating duality and let u be a linear mapping of F in F_1, which is continuous for σ(F,G)\sigma(F, G) and σ(F1,G1)\sigma(F_1, G_1). Then u is a strict morphism of F in F_1, if and only if, Im(tu^t u) is a closed subspace in G for σ(G,F)\sigma(G, F).

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Cites § 6. Weak topologies

Let N=Im⁡(tu)⊂GN = \operatorname{Im}(^t u) \subset G; we know that N0=Ker⁡(u)N^0 = \operatorname{Ker}(u) in F (II, p. 47, formula (3)). Let p:F→F/N∘p : F \to F/N^\circ be the canonical mapping so that u factorises as

u:F→pF/N∘→wF1, u : F \xrightarrow{p} F/N^\circ \xrightarrow{w} F_1,

where w is injective. The spaces F/N∘F/N^\circ and N are in separating duality and by formula (1) of II, p. 48, we have ⟨w(y˙),z1⟩=⟨y˙,tu(z1)⟩\langle w(\dot{y}), z_1 \rangle = \langle \dot{y}, ^t u(z_1) \rangle for all y˙∈F/N∘\dot{y} \in F/N^\circ and z1∈G1z_1 \in G_1. This relation shows that w is an isomorphism of F/N∘F/N^\circ, carrying the topology σ(F/N∘,N)\sigma(F/N^\circ, N), on u(F)u(F) with the topology induced by σ(F1,G1)\sigma(F_1, G_1). The conclusion results therefore from cor. 1 and the definition of a strict morphism.

Corollary 4

— Let (F, G), (F_1, G_1) be two pairs in separating duality, and let u be a linear mapping of F in F_1 that is continuous for σ(F,G)\sigma(F, G) and σ(F1,G1)\sigma(F_1, G_1). Then u is surjective, if and only if, tu^t u is an isomorphism of G1G_1 (with topology σ(G1,F1)\sigma(G_1, F_1)) on tu(G1)^t u(G_1) with the topology induced by σ(G,F)\sigma(G, F).

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Cites § 6. Weak topologies

For, to say that u(F)=F1u(F) = F_1 is equivalent to saying that u(F)u(F) is closed and everywhere dense in F1F_1 for σ(F1,G1)\sigma(F_1, G_1); cor. 4 follows then from cor. 3 applied to tu^t u and of II, p. 47, cor. 2.

Remark

— 1) Let (F1,G1),(F2,G2),(F3,G3)(F_1, G_1), (F_2, G_2), (F_3, G_3) be three pairs of spaces in separating duality and consider a sequence of two linear mappings

F1→uF2→vF3 F_1 \xrightarrow{u} F_2 \xrightarrow{v} F_3

that are continuous for the weak topologies corresponding respectively with G1,G2,G3G_1, G_2, G_3; we consider the sequence of transposed mappings

G3→tvG2→tuG1. G_3 \xrightarrow{^tv} G_2 \xrightarrow{^tu} G_1 .

It is clear that t(v∘u)=tu∘tv^t(v \circ u) = ^t u \circ ^t v, therefore the relation v∘u=0v \circ u = 0 is equivalent to tu∘tv=0^t u \circ ^t v = 0. The sequence (5) is exact if, and only if, the three following conditions are satisfied

a) tu∘tv=0^t u \circ ^t v = 0; b) Im⁡(tv)\operatorname{Im}(^t v) is dense in Ker⁡(tu)\operatorname{Ker}(^t u); c) tu^t u is a strict morphism of G2G_2 in G1G_1.

This follows in effect from cor. 3 of II, p. 49 and formulae (3) and (4) of II, p. 47.

2) It must not be thought that when uu is a strict morphism of FF in F1F_1, then tu^t u is necessarily a strict morphism of G1G_1 in GG; in other words uu can be a strict morphism without u(F)u(F) being closed in F1F_1 for σ(F1,G1)\sigma(F_1, G_1). This is shown by the example where FF is a non-closed subspace of F1F_1 and G=G1/F∘G = G_1 / F^\circ, uu being the canonical injection. Similarly, the fact that the sequence (5) is exact does not necessarily imply that (6) is exact, however, if the sequence (5) is exact and if vv is a strict morphism, then the sequence (6) is exact, by the remark 1 and by II, p. 49, cor. 3.

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Cites § 6. Weak topologies

6. Products of weak topologies

Proposition 8

— Let (Fi,Gi)i∈I(F_i, G_i)_{i \in I} be a family of pairs of spaces in duality. Let F=∏i∈IFiF = \prod_{i \in I} F_i be the product space of the FiF_i and G=⨁i∈IGiG = \bigoplus_{i \in I} G_i be the direct sum of the GiG_i. If, for all x=(xi)∈Fx = (x_i) \in F and all y=(yi)∈Gy = (y_i) \in G, we write ⟨x,y⟩=∑i∈I⟨xi,yi⟩\langle x, y \rangle = \sum_{i \in I} \langle x_i, y_i \rangle (a sum which has only finitely many non-zero terms) then the topology σ(F,G)\sigma(F, G) (relative to the bilinear form (x,y)↦⟨x,y⟩(x, y) \mapsto \langle x, y \rangle) is the product of the topologies σ(Fi,Gi)\sigma(F_i, G_i).

For, given a topology T\mathscr{T} on FF; in order that, for all y∈Gy \in G, the linear form x↦⟨x,y⟩x \mapsto \langle x, y \rangle should be continuous for T\mathscr{T}, it is necessary and sufficient, by the definition of ⟨x,y⟩\langle x, y \rangle, that each of the mappings x↦⟨pr⁡ix,yi⟩x \mapsto \langle \operatorname{pr}_i x, y_i \rangle should be continuous for T\mathscr{T}, where ii is arbitrary in II and yiy_i in GiG_i; but this means that each of the mappings pr⁡i\operatorname{pr}_i of FF in FiF_i is continuous for T\mathscr{T} and for σ(Fi,Gi)\sigma(F_i, G_i) (I, p. 10, cor. 1); this completes the demonstration.

Remark

— The duality between FF and GG is separating in FF (resp. in GG) if and only if for all i∈Ii \in I, the duality between FiF_i and GiG_i is separating in FiF_i (resp. in GiG_i). If the duality between FF and GG is separating in FF (resp. GG), then, in FF (resp. GG), the subspace orthogonal to one GiG_i (resp. FiF_i), canonically identified with a subspace of GG (resp. FF) is the subspace of the product of the FκF_\kappa where κ≠i\kappa \neq i (resp. the direct sum of the GκG_\kappa such that κ≠i\kappa \neq i).

Corollary 1

— Let F and G be two vector spaces in separating duality. If the space F (with σ(F,G)\sigma(F, G)) is the direct topological sum of two subspaces M, N then the space G (with σ(G,F)\sigma(G, F)) is the direct topological sum of the subspaces M∘,N∘M^\circ, N^\circ orthogonal respectively to M and N.

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Cites § 6. Weak topologies

For let p:F→M,q:F→Np : F \to M, q : F \to N be the projectors corresponding to the decomposition of F into the direct sum of M and N; in these conditions the mapping (p,q):F→M×N(p, q) : F \to M \times N is a topological isomorphism. If M1=G/M∘,N1=G/N∘M_1 = G/M^\circ, N_1 = G/N^\circ, then the topologies on M and N (induced by that of F) are identical with σ(M,M1)\sigma(M, M_1), σ(N,N1)\sigma(N, N_1) respectively (II, p. 48, prop. 7). The mapping t(p,q):M1×N1→G^t(p, q) : M_1 \times N_1 \to G is a topological isomorphism when we give M1,N1M_1, N_1 and G the topologies σ(M1,M)\sigma(M_1, M), σ(N1,N)\sigma(N_1, N) and σ(G,F)\sigma(G, F), by prop. 8. Under this mapping M1M_1 (resp. N1N_1) has as its image in G the subspace N∘N^\circ (resp. M∘M^\circ), and the topology σ(M1,M)\sigma(M_1, M) (resp. σ(N1,N)\sigma(N_1, N)) has as its image the topology induced on N∘N^\circ (resp. M∘M^\circ) by σ(G,F)\sigma(G, F), from which the corollary follows.

Corollary 2

— Let (ei)i∈J(e_i)_{i \in J} be a basis of the vector space F with dual F∗F^*, and let u:R(I)→Fu : \mathbf{R}^{(I)} \to F be an (algebraic) isomorphism defined by this basis. Then the transposed mapping tu:F∗→RI^t u : F^* \to \mathbf{R}^I is a topological isomorphism when F∗F^* carries the topology σ(F∗,F)\sigma(F^*, F) and RI\mathbf{R}^I the product topology.

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Cites II § 2. Convex sets

We know (A, II, § 2.6, prop. 10) that tu^t u is a bijection, and that if for a x∗∈F∗x^* \in F^*, we put ⟨ei,x∗⟩=ξi∗\langle e_i, x^* \rangle = \xi_i^* for all i∈Ii \in I, then the image tu(x∗)^t u(x^*) is the vector (ξi∗)(\xi_i^*) of RI\mathbf{R}^I, so that, for all x=∑iξieix = \sum_i \xi_i e_i in F, we have ⟨x,x∗⟩=∑iξiξi∗\langle x, x^* \rangle = \sum_i \xi_i \xi_i^*. The corollary then follows from this formula and prop. 8.

7. Weakly complete spaces

Proposition 9

— Let F, G be two vector spaces in separating duality. If F^\hat{F} is the completion of the space F for the topology σ(F,G)\sigma(F, G) and if we consider the canonical injection j:F→G∗j : F \to G^*, where G∗G^* has the topology σ(G∗,G)\sigma(G^*, G), then the continuous extension j^:F^→G∗\hat{j} : \hat{F} \to G^* of j is an isomorphism of topological vector spaces.

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Cites § 6. Weak topologies, II § 7. Extremal points and extremal generators

For, we see that G∗G^*, endowed with σ(G∗,G)\sigma(G^*, G), is Hausdorff and complete (II, p. 51, cor. 2); if we identify F by j with a vector subspace of G∗G^* then the topology induced on F by σ(G∗,G)\sigma(G^*, G) is σ(F,G)\sigma(F, G), and F is dense in G∗G^* in the topology σ(G∗,G)\sigma(G^*, G) (II, p. 43, cor. 4); from which the proposition follows.

Vector spaces that are complete for a weak topology are therefore the duals G∗G^* of arbitrary vector spaces G endowed with σ(G∗,G)\sigma(G^*, G); after II, p. 51, cor. 2, they are (topologically) isomorphic to products RI\mathbf{R}^I of real lines. To simplify the language, we shall call them products of lines (for an intrinsic characterisation of these spaces see II, p. 85, exerc. 13 and II, p. 81, exerc. 1).

We note that on G∗G^*, the σ(G∗,G)\sigma(G^*, G) topology is minimal among the weak topologies that are Hausdorff; for, a weak topology that is coarser than σ(G∗,G)\sigma(G^*, G) is necessarily of the form σ(G∗,H)\sigma(G^*, H) where H⊂GH \subset G (II, p. 43, cor. 3); but if H≠GH \neq G, then there exists a linear form x∗∈G∗x^* \in G^* that is non null and is orthogonal to HH (A, II, § 7.3, prop. 8), therefore σ(G∗,H)\sigma(G^*, H) is not Hausdorff.

We deduce from this remark that, if F,GF, G are two vector spaces, then a linear bijection u:G∗→F∗u : G^* \to F^*, that is continuous for the topologies σ(G∗,G)\sigma(G^*, G) and σ(F∗,F)\sigma(F^*, F), is necessarily bicontinuous.

Proposition 10

Let GG be a real vector space and F=G∗F = G^* its dual with the topology σ(G∗,G)\sigma(G^*, G).

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Cites § 6. Weak topologies, II § 2. Convex sets

(i) The mapping V↦V∘V \mapsto V^\circ is a bijection of the set of vector subspaces of GG on the set of closed vector subspaces of FF.

(ii) Every closed vector subspace of FF is a product of lines and has a topological complement.

By the bipolar theorem (II, p. 45, cor. 2) V↦V∘V \mapsto V^\circ is a bijection of the set of vector subspaces VV of GG, closed for σ(G,G∗)\sigma(G, G^*) on the set of closed vector subspaces of FF. But, by definition, every linear form on GG is continuous for σ(G,G∗)\sigma(G, G^*), therefore every vector subspace in GG is closed, being defined by a system of equations ⟨y,yλ∗⟩=0\langle y, y_\lambda^* \rangle = 0 (where yλ∗∈G∗y_\lambda^* \in G^*); this proves (i).

Now let WW be a closed subspace of FF; we have then W=V∘W = V^\circ with V=W∘V = W^\circ in GG. Let V′V' be a complement of VV in GG. We know that F=G∗F = G^* can be canonically identified with V∗⊕V′∗V^* \oplus {V'}^*, and V′∗{V'}^* identified with V∘=WV^\circ = W (A, II, § 2.6, cor. to prop. 10); further (II, p. 50, prop. 8) the topology σ(G∗,G)\sigma(G^*, G) can be identified with the product of the topologies σ(V∗,V)\sigma(V^*, V) and σ(V′∗,V′)\sigma({V'}^*, V'); this proves assertion (ii).

Though, for the topology σ(G,G∗)\sigma(G, G^*), every vector subspace of GG is closed, we note that if GG is of infinite dimension then the topology σ(G,G∗)\sigma(G, G^*) is not the finest locally convex topology on GG, every neighbourhood of 0 for σ(G,G∗)\sigma(G, G^*) containing a vector subspace of infinite dimension : it is however the finest of the weak topologies on GG (II, p. 43, cor. 3).

8. Complete convex cones in weak spaces

Lemma 1

Let EE be a Hausdorff weak space and CC a proper cone with vertex 0 in EE, that is complete for the uniform structure induced by that of EE. Every continuous linear form in EE is then the difference between two continuous linear forms in EE that are positive in CC.

Cites 1

Cites § 6. Weak topologies

Let E′E' be the dual of EE and FF be the algebraic dual of E′E', with the topology σ(F,E′)\sigma(F, E'). Let H=C∘−C∘H = C^\circ - C^\circ be the vector subspace of E′E' formed by the differences of linear forms that are continuous in EE and positive in CC (II, p. 44, prop. 4). It is sufficient to show that the orthogonal to HH in FF is {0}\{0\} (II, p. 41, Example 1). Then let a∈Fa \in F be orthogonal to HH; as aa is orthogonal to C∘C^\circ, it must belong to the bipolar of CC in FF. But EE is identifiable as a subspace of FF, and since CC is complete, thus closed in FF, we have a∈Ca \in C (II, p. 44, th. 1). Similarly aa is orthogonal to −C∘-C^\circ and therefore a∈−Ca \in -C. As CC is proper, we have a=0a = 0.

Proposition 11

Let EE be a Hausdorff weak space, and CC be a proper convex cone with vertex 0 in EE and which is complete in the uniform structure induced by that of EE.

Then there exists a set I and a continuous linear mapping u of E in the product space RI\mathbf{R}^I with the following properties:

a) u is an isomorphism of C on u(C)u(C) for the uniform structures induced respectively by those of E and of RI\mathbf{R}^I.

b) We have u(C)⊂R+Iu(C) \subset \mathbf{R}_+^I.

Further, if the uniform structure induced on C by that of E is metrisable, then we can take I=NI = \mathbf{N}.

Let (fi)i∈I(f_i)_{i \in I} be a family of continuous linear forms in E such that the finite sums of pseudometrics of the form (x,y)↦∣fi(x−y)∣(x, y) \mapsto |f_i(x - y)| on C×CC \times C define the uniform structure of C. (If the structure is metrisable we can take I=NI = \mathbf{N}.) By lemma 1 we can suppose further that each of the fif_i is positive in C. Let u be the linear mapping x↦(fi(x))i∈Ix \mapsto (f_i(x))_{i \in I} of E in RI\mathbf{R}^I. It is clear that u is continuous and that u(C)⊂R+Iu(C) \subset \mathbf{R}_+^I. The restriction u∣Cu|C is a uniformly continuous mapping that is surjective from C on u(C)u(C). Further if x,yx, y in C are such that fi(x)=fi(y)f_i(x) = f_i(y) for all i∈Ii \in I, then x=yx = y since the uniform structure of C is Hausdorff; therefore u∣Cu|C is bijective. Finally, if W is an entourage of the uniform structure of C, then there exists a finite set J of I and a number ε>0\varepsilon > 0 such that the relations ∣fi(x)−fi(y)∣≤ε|f_i(x) - f_i(y)| \leq \varepsilon for i∈Ji \in J imply (x,y)∈W(x, y) \in W; therefore u∣Cu|C is an isomorphism of C on u(C)u(C) for the uniform structures being considered.

Corollary 1

— Let E be a Hausdorff weak space and C a proper convex cone of vertex 0 in E that is complete for the uniform structure induced by that of E. Then the mapping (x,y)↦x+y(x, y) \mapsto x + y of C×CC \times C in C is proper.

Because of prop. 11, we can suppose that E=RIE = \mathbf{R}^I and that C=R+IC = \mathbf{R}_+^I (GT, I, § 10.1, cor. 1 and 4). But then the mapping (x,y)↦x+y(x, y) \mapsto x + y of C×CC \times C in C is written as ((ξi),(ηi))↦(ξi+ηi)((\xi_i), (\eta_i)) \mapsto (\xi_i + \eta_i), and we can restrict ourselves to proving that the continuous mapping f:(ξ,η)↦ξ+ηf : (\xi, \eta) \mapsto \xi + \eta of R+×R+\mathbf{R}_+ \times \mathbf{R}_+ in R+\mathbf{R}_+, is proper (GT, I, § 10.1, cor.3), Now, for all ζ∈R+\zeta \in \mathbf{R}_+, we see that f(ζ)f(\zeta) is the set of pairs (ξ,ζ−ξ)(\xi, \zeta - \xi) such that 0≤ξ≤ζ0 \leq \xi \leq \zeta, therefore the inverse image by f of the interval [0,ζ][0, \zeta] is the set of the (ξ,η)∈R+×R+(\xi, \eta) \in \mathbf{R}_+ \times \mathbf{R}_+ such that ξ+η≤ζ\xi + \eta \leq \zeta, which is compact. The conclusion follows applying (GT, I, § 10.3, prop. 7).

Corollary 2

— Let E be a Hausdorff weak space, and C a proper convex cone with vertex 0 in E, that is complete for the uniform structure induced by that of E.

(i) For every point a of E, the intersection C∩(a−C)C \cap (a - C) is compact.

(ii) Let A, B be two closed sets in C. Then A+BA + B is a closed set in C.

(i) The set of the (x,y)∈C×C(x, y) \in C \times C such that x+y=ax + y = a is compact from cor. 1 and from GT, I, § 10.2, th. 1, b). Now this set is also the set of the (x,a−x)(x, a - x) for x∈C∩(a−C)x \in C \cap (a - C), which proves (i).

(ii) If A and B are closed in C, then A×BA \times B is closed in C×CC \times C, therefore A+BA + B is closed in C after cor. 1 and GT, I, § 10.1, prop. 1.

Exercises

See the exercises for § 6.

Transcribed from the printed volume. Not translated.