Bourbaki

§ 7. Extremal points and extremal generators

1. Extremal points of compact convex sets

Definition 1

Let AA be a convex set in an affine space EE. Then we say that a point x∈Ax \in A is an extremal point of AA if there does not exist an open segment that is contained in AA and contains xx.

In other words, the relations x=λy+(1−λ)z, y∈A, z∈A, y≠zx = \lambda y + (1 - \lambda)z,\ y \in A,\ z \in A,\ y \neq z and 0≤λ≤10 \leq \lambda \leq 1 imply λ=0\lambda = 0 or λ=1\lambda = 1 (thus x=yx = y or x=zx = z). This implies that xx cannot be the barycentre of a set of nn points xix_i of AA carrying positive masses unless xx is one of the xix_i; for this is just the definition when n=2n = 2; for arbitrary nn argue by induction on nn, as xx is the barycentre of x1x_1 and of the barycentre y1y_1 of the xix_i with 2≤i≤n2 \leq i \leq n, therefore xx is identical with x1x_1 or y1y_1, and in the second case it is sufficient to apply the induction hypothesis.

To say that xx is an extremal point of AA also means that A−{x}A - \{x\} is convex.

Example 1

In the space Rn\mathbf{R}^n, all the points of the sphere Sn−1S_{n-1} are extremal points of the closed ball BnB_n. For, if ∑iyi2≤1, ∑izi2≤1\sum_i y_i^2 \leq 1,\ \sum_i z_i^2 \leq 1 and 0<λ<10 < \lambda < 1, the relation

λ2∑iyi2+(1−λ)2∑izi2+2λ(1−λ)∑iyizi=1=(λ+(1−λ))2 \lambda^2 \sum_i y_i^2 + (1 - \lambda)^2 \sum_i z_i^2 + 2\lambda(1 - \lambda) \sum_i y_i z_i = 1 = (\lambda + (1 - \lambda))^2
is possible only if
∑iyi2=∑izi2=∑iyizi=1. \sum_i y_i^2 = \sum_i z_i^2 = \sum_i y_i z_i = 1.
But this implies ∑i(yi−zi)2=0\sum_i (y_i - z_i)^2 = 0, thus yi=ziy_i = z_i for all ii, which proves our assertion.

Example 2

In the normed space B(N)\mathscr{B}(\mathbf{N}) of bounded sequences of real numbers (I, p. 4) the extremal points of the unit ball are the points x=(ξn)x = (\xi_n) such that ∣ξn∣=1|\xi_n| = 1 for all nn. For, suppose that we had ∣ξn∣≤1|\xi_n| \leq 1 for all nn and ∣ξp∣<1|\xi_p| < 1 for one index pp. We can then write

x=1+ξp2y+1−ξp2z x = \frac{1 + \xi_p}{2} y + \frac{1 - \xi_p}{2} z
where yy (resp. zz) is the point all of whose coordinates are equal to the coordinate of xx with the same index, except in the case of index pp where the coordinate is equal to 1 (resp. −1-1). This shows that xx is not extremal, since we have ∥y∥≤1\|y\| \leq 1 and ∥z∥≤1\|z\| \leq 1. Conversely, if ∣ξn∣=1|\xi_n| = 1 for all nn, then xx is extremal, for the relation ξn=ληn+(1−λ)ζn\xi_n = \lambda \eta_n + (1 - \lambda) \zeta_n with ∣ηn∣≤1, ∣ζn∣≤1|\eta_n| \leq 1,\ |\zeta_n| \leq 1 and 0<λ<10 < \lambda < 1 implies ξn=ηn=ζn\xi_n = \eta_n = \zeta_n.

Example 3

Let u:E→E′u : E \to E' be an affine mapping of an affine space EE in an affine space E′E'; let C⊂E, C′⊂E′C \subset E,\ C' \subset E' be two convex sets such that u(C)⊂C′u(C) \subset C'. If x′x' is an extremal point of C′C' and xx is an extremal point of u−1(x′)∩Cu^{-1}(x') \cap C, then xx is an extremal point of CC, as it follows from def. 1.

Proposition 1

Let BB be the set of extremal points of AA, a non-empty compact convex set in a Hausdorff locally convex space EE, and let ff be a convex function defined in AA and upper semi-continuous. Then ff attains its upper bound in AA at one point (at least) of BB.

Cites 2

Cites II § 5. Separation of convex sets, III § 2. Bornological spaces

Use F\mathscr{F} to denote the family of subsets X of A that are non-empty, closed, and such that every open segment that is contained in A and meets X necessarily lies in X. It has the following properties; (i) A belongs to F\mathscr{F}. (ii) A point a∈Aa \in A is such that {a}∈F\{a\} \in \mathscr{F}, if, and only if, aa is an extremal point of A. (iii) Every non-empty intersection X of a family (Xα)(X_\alpha) of sets of F\mathscr{F} also belongs to F\mathscr{F}.

The properties (i), (ii) and (iii) follow immediately from the definitions.

(iv) Let X∈FX \in \mathscr{F}, and let hh be a function that is convex and upper semi-continuous in A; then the set Y of the points of X where the restriction h∣Xh|X attains its upper bound in X is such that Y belongs to F\mathscr{F}.

For, h∣Xh|X being upper semi-continuous in X attains its upper bound α\alpha over X in at least one point of X (GT, IV, § 6.2, th. 3); thus Y is non-empty, it is also closed (GT, IV, § 6.2, prop. 1). On the other hand let x,yx, y be two distinct points of A and let z=λx+(1−λ)yz = \lambda x + (1 - \lambda) y be a point of Y such that 0<λ<10 < \lambda < 1; as Y⊂XY \subset X and X∈FX \in \mathscr{F}, we have x∈Xx \in X and y∈Xy \in X; on the other hand, as hh is convex, we have

h(z)≤λh(x)+(1−λ)h(y) h(z) \leq \lambda h(x) + (1 - \lambda) h(y)

but as h(x)≤α,h(y)≤αh(x) \leq \alpha, h(y) \leq \alpha and h(z)=αh(z) = \alpha, of necessity h(x)=h(y)=αh(x) = h(y) = \alpha, that is to say x∈Yx \in Y and y∈Yy \in Y. Therefore Y∈FY \in \mathscr{F}.

With these properties established, let M be the set of x∈Ax \in A where ff attains its upper bound in A; by (iv), M∈FM \in \mathscr{F}. On the other hand, by (iii) and the fact that the sets of F\mathscr{F} are closed subsets ot the compact set A, it follows that F\mathscr{F} is inductive for the order relation ⊃\supset. By th. 2 of S, III, § 2.4, M contains a subset N which is a minimal element of F\mathscr{F}. We shall show that N consists of a single point and this will complete the proof of the proposition. Since E is a Hausdorff locally convex space, it is sufficient to show that every continuous linear form uu on E is constant in N (II, p. 38, cor. 1). Now it follows from (iv) that the set N′N' of the x∈Nx \in N where u∣Nu|N attains its upper bound in N is such that N′N' belongs to F\mathscr{F}; since N is minimal in F\mathscr{F} we necessarily have N′=NN' = N.

Corollary

Let A be a compact convex set in a Hausdorff locally convex space E. Then every closed support hyperplane H of A contains at least one extremal point of A.

For, if f(x)=αf(x) = \alpha is an equation of H and f(x)≤αf(x) \leq \alpha in A, it is sufficient to apply prop. 1 to ff.

Theorem 1 (Krein-Milman)

— *In a Hausdorff locally convex space E, every compact convex set A is the closed convex envelope of the set of its extremal points.

Cites 1

Cites II § 5. Separation of convex sets

For, let C be the closed convex envelope of the set of extremal points of A; clearly C⊂AC \subset A. To see that A⊂CA \subset C, it is sufficient to prove that, if uu is an affine linear function, continuous in E and if u(x)≥0u(x) \geq 0 in C then also u(x)≥0u(x) \geq 0 in A (II, p. 39, cor. 4); but this follows from prop. 1 applied to −u-u.

Proposition 2

Let x be an extremal point of a compact convex set A in a Hausdorff* locally convex space E. Then for every open neighbourhood V of x in E, there exists an open half-space F in E such that x∈F∩A⊂V∩Ax \in F \cap A \subset V \cap A (in other words, the traces on A of the open half-spaces containing x, form a fundamental system of neighbourhoods of x in A).

Cites 2

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

For every open half-space D of E containing x, the set A∩D‾A \cap \overline{D} is a compact neighbourhood of x in A, and the intersection of all these neighbourhoods is precisely the point x (any two distinct points can be strictly separated by a closed hyperplane (II, p. 38, prop. 4). By prop. 1 of GT, I, § 9.2, it is sufficient to prove that the sets A∩D‾A \cap \overline{D} form a filter base. Now if we write LD=A∩(E−D)L_D = A \cap (E - D), the set LDL_D is convex, compact and contained in the convex set A−{x}A - \{x\}; if D1,D2D_1, D_2 are two open half-spaces of E containing x, the convex envelope B of LD1∪LD2L_{D_1} \cup L_{D_2} is therefore contained in A−{x}A - \{x\}; but B is a compact set (II, p. 14, prop. 15), therefore there exists a closed hyperplane H that separates x strictly from B (II, p. 38, prop. 4) and if the open half-space determined by H and containing x is D, then we have LD1∪LD2⊂LDL_{D_1} \cup L_{D_2} \subset L_D, therefore A∩D‾⊂(A∩D1‾)∩(A∩D2‾)A \cap \overline{D} \subset (A \cap \overline{D_1}) \cap (A \cap \overline{D_2}).

Corollary

— In a Hausdorff locally convex space let K be a compact subset of a compact convex set A. Then the following conditions are equivalent.

Cites 1

Cites II § 5. Separation of convex sets

a) A is the closed convex envelope of K.

b) K meets every set that is the intersection of A with one of its support hyperplanes.

c) K contains the set of extremal points of A.

a) ⇒\Rightarrow b). Suppose that there exists a support hyperplane H of A whose equation is f(x)=αf(x) = \alpha, such that (H∩A)∩K=∅(H \cap A) \cap K = \varnothing and suppose, for example, that f(x)≥αf(x) \geq \alpha in A. As f(x)−α>0f(x) - \alpha > 0 for all x∈Kx \in K by hypothesis and as K is compact we have

β=inf⁡x∈Kf(x)>α, \beta = \inf_{x \in K} f(x) > \alpha ,

and K is, therefore, contained in the closed half-space f(x)≥βf(x) \geq \beta; therefore the same is true of the closed convex envelope A of K and this is absurd.

b) ⇒\Rightarrow c). Suppose that an extremal point x of A does not belong to K; there is a neighbourhood V of x in E such that V∩A∩K=∅V \cap A \cap K = \varnothing. But by prop. 2, we can suppose that V is an open half-space defined by a hyperplane H with the equation f(z)=αf(z) = \alpha. If for example f(x)>αf(x) > \alpha, then for all y∈Ky \in K, we have f(y)≤αf(y) \leq \alpha, therefore K does not meet the intersection of A and the support hyperplane f(z)=γ>αf(z) = \gamma > \alpha parallel to H (II, p. 37, prop. 2); this is absurd.

c) ⇒\Rightarrow a). This is an obvious consequence of the Krein-Milman theorem.

Remark 1

Even if the vector space E is finite dimensional the set of extremal points of a compact convex set is not necessarily closed (II, p. 89, exerc. 11).

Cites 1

Cites § 7. Extremal points and extremal generators

Remark 2

If K is a compact set in a non complete Hausdorff locally convex space, and A, the closed convex envelope of K is not compact, there can be extremal points of A that do not belong to K (II, p. 87, exerc. 2).

Cites 1

Cites § 7. Extremal points and extremal generators

Remark 3

In a Banach space E of infinite dimension, it may happen that the closed ball of centre 0 and radius 1 does not possess any extremal point (II, p. 89, exerc. 14).

Cites 1

Cites § 7. Extremal points and extremal generators

Remark 4

If A is a compact convex set in a Hausdorff locally convex space, it may happen that an extremal point of A does not belong to any support hyperplane of A (II, p. 78, exerc. 11). The proof of theorem 1 (II, p. 56) shows that in any case A is the convex closed envelope of the set of extremal points of A which belong to a support hyperplane.

Cites 2

Cites II § 5. Separation of convex sets, § 7. Extremal points and extremal generators

2. Extremal generators of convex cones

Let C be a convex cone with vertex 0 in a vector space E; clearly no other point of C than the vertex can be an extremal point; the vertex is an extremal point of C if and only if C is pointed and proper.

Definition 2

Let C be a convex cone of vertex 0 in a vector space E. We say that a half-line D ⊂ C originating at 0 is an extremal generator of C, if every open segment contained in C, not containing 0 and meeting D is contained in D.

It comes to the same thing to say that for all x ∈ D such that x ≠ 0, if y ≠ 0, y' ≠ 0 are two points of C such that x = y + y', then, it is necessarily the case that y ∈ D and y' ∈ D.

Remark 1

Let C be a pointed proper convex cone in E, and consider on E the order structure for which C is the set of elements ≥ 0 (II, p. 12, prop. 13); in order that an element of E, say x > 0, belongs to an extremal generator of C, it is necessary and sufficient that every element y ≥ 0, that is bounded above by x, is of the form λx with 0 ≤ λ ≤ 1 : in fact, to say that y is bounded above by x means that x = y + y' where y' ∈ C, whence the conclusion follows.

Cites 1

Cites II § 2. Convex sets

Proposition 3

In a vector space E, let C be a convex cone with vertex 0, and let x₀ ≠ 0 be a point of C, and D a half-line that is contained in C, originating from 0 and containing x₀. Let H be a hyperplane containing x₀ and not passing through 0. Then D is an extremal generator of C if and only if x₀ is an extremal point of H ∩ C.

The condition is clearly necessary. Conversely, suppose that it is satisfied; suppose that there is a line D' not containing D, passing through x₀ and such that D' ∩ C contains an open segment to which x₀ belongs. Let y ≠ 0 be a direction vector of D'; the hypotheses imply that the point (1 + λ)x₀ + μy belongs to C for |λ| and |μ| sufficiently small. But then, in the plane P determined by D and D' and carrying the canonical topology, x₀ is an interior point of P ∩ C, and it follows that the line P ∩ H contains an open segment contained in H ∩ C and to which x₀ belongs. This contradicts the hypothesis.

Definition 3

Let C be a convex set in a Hausdorff topological vector space E. A compact convex non-empty set A of C is called a cap of C if the complement C − A of A in C is convex.

Let C be a pointed convex cone with vertex 0 in E and let A be a cap of C. Write B = C − A. For every closed half-line L ⊂ C originating at 0, the sets L ∩ A and L ∩ B are convex sets that are complements in L, whose union is L, and such that L ∩ A is compact. As L ∩ A is non-empty for at least one half-line L, we see that 0 ∈ A, thus L ∩ A is a closed segment with an end point at 0. If A exists then C is proper.

Proposition 4

— Let C be a pointed convex cone with vertex 0 in E, a Hausdorff locally convex space.

Cites 1

Cites II § 2. Convex sets

a) Let A be a cap of C. Let p be the restriction to C of the gauge of A (II, p. 20). The set of the x ∈ C such that p(x) ≤ 1 is the set A. The function p is lower semi-continuous and has the following properties : (i) For any x, y in C, we have p(x + y) = p(x) + p(y). (ii) For any x ∈ C and λ ∈ R_+^*, we have p(λx) = λp(x). (iii) If x ∈ C, the relation p(x) = 0 is equivalent to x = 0.

b) Conversely, let p be a function defined in C with values in [0, +∞], satisfying the conditions (i), (ii) of a). Let A be the set of the x ∈ C such that p(x) ≤ 1. Then A and C − A are convex. A is a cap, if and only if A is compact and non-empty.

The statement b) is obvious. The properties stated in a) are consequences of the remarks preceding prop. 4 and of the prop. 22 of II, p. 20 and prop. 23 of II, p. 20 with the exception of

p(x+y)≥p(x)+p(y). p(x + y) \geq p(x) + p(y).

It is sufficient to prove this last when x ≠ 0 and y ≠ 0; we have therefore p(x) > 0, p(y) > 0. Let μ, λ be two numbers > 0 such that λ < p(x), μ < p(y), and denote the complement of A in C by B. We have x ∈ λB, y ∈ μB, therefore x + y ∈ λB + μB; by the convexity of B, we have λB + μB ⊂ (λ + μ)B, whence p(x + y) > λ + μ, which implies the inequality stated above.

Corollary 1

— Let C be a pointed convex cone of vertex 0 in E, a Hausdorff locally convex space and let p be the gauge of A, a cap of C. The extremal points of A are then the point 0, and the points x on the extremal generators of C such that p(x) = 1.

It is clear that 0 is an extremal point of A. Let x be a point on L an extremal generator of C and such that p(x) = 1. Let y, z be two points of A such that x = 12(y+z)\frac{1}{2}(y + z). As L is extremal, we have y = λx and z = μx, where λ and μ are numbers ≥ 0 such that 12(λ+μ)=1\frac{1}{2}(\lambda + \mu) = 1, λ=λp(x)=p(y)≤1\lambda = \lambda p(x) = p(y) \leq 1 and μ=μp(x)=p(z)≤1\mu = \mu p(x) = p(z) \leq 1, from which λ=μ=1\lambda = \mu = 1 and hence y = z = x; so, x is an extremal point of A. Conversely, let x ≠ 0 be an extremal point of A. Obviously p(x) = 1. Let y, y' be two points of C such that x = y + y', and we shall show that y, y' are proportional to x. Without loss of generality we can suppose that the numbers λ=p(y)\lambda = p(y) and λ′=p(y′)\lambda' = p(y') are finite and > 0. Then λ−1y∈A,λ′−1y′∈A,λ+λ′=1\lambda^{-1}y \in A, {\lambda'}^{-1}y' \in A, \lambda + \lambda' = 1 by prop. 4, (i) and the equality x=λ(λ−1y)+λ′(λ′−1y′)x = \lambda(\lambda^{-1}y) + \lambda'({\lambda'}^{-1}y') implies, by hypothesis that

x=λ−1y=λ′−1y′. x = \lambda^{-1}y = {\lambda'}^{-1}y'.

Corollary 2

— Every point of C that belongs to a cap of C, also belongs to the convex closed envelope of the union of the extremal generators of C.

Cites 2

Cites § 7. Extremal points and extremal generators, II § 1. Semi-norms

This follows immediately from cor. 1 and the Krein-Milman theorem (II, p. 55, th. 1).

\* Example. — Let X be a locally compact space that is σ-compact. Let C be a closed convex cone of vertex 0 in M+(X)\mathscr{M}_+(X) with the vague topology. We shall show that C is the union of its caps. Let (Xn)(X_n) be an increasing sequence of open, relatively compact sets of X whose union is X. Let μ be an element ≠0\neq 0 of C. There exist αn>0\alpha_n > 0 such that ∑nαnμ(Xn)=1\sum_n \alpha_n \mu(X_n) = 1.

For every measure v∈Cv \in C, put p(v)=∑nαnv(Xn)∈[0,+∞]p(v) = \sum_n \alpha_n v(X_n) \in [0, +\infty]. The function p on C satisfies conditions (i) and (ii) of prop. 4. It is lower semi-continuous for the vague topology (INT, IV, 2nd ed., § 1, No. 1, prop. 4). The set A of the γ∈C\gamma \in C such that p(γ)≤1p(\gamma) \leq 1 is therefore closed and non-empty. On the other hand, every compact set of X is contained in one of the XnX_n, thus A being vaguely bounded is also vaguely compact (INT, III, 2nd ed., § 1, No. 9, prop. 15). The set A is therefore a cap of C containing μ. \*

Proposition 5

Let C be a proper convex cone with vertex 0 in E, a Hausdorff weak space; suppose that C is complete for the uniform structure induced by that of E, and that there is an enumerable fundamental system of neighbourhoods of 0 in C. Then C is the union of its caps and is the closed convex envelope of the union of its extremal generators.

Cites 2

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

The second statement follows from the first and from cor. 2 above. Using prop. 11 of II, p. 52 reduces the proposition to the case when E=RlE = \mathbf{R}^l and C⊂R+lC \subset \mathbf{R}_+^l. For all α∈I\alpha \in I, denote the projection prαpr_\alpha in E by fαf_\alpha; then fαf_\alpha is a continuous linear form. On the other hand let (Vn)n∈N(V_n)_{n \in \mathbf{N}} be an enumerable fundamental system of neighbourhoods of 0 in C. By the definition of the topology of E, for each n∈Nn \in \mathbf{N}, there exists a finite subset JnJ_n of I and a number εn>0\varepsilon_n > 0 such that VnV_n contains the set WnW_n of the x∈Cx \in C such that fα(x)≤εnf_\alpha(x) \leq \varepsilon_n for all α∈Jn\alpha \in J_n; put J=⋃n∈NJnJ = \bigcup_{n \in \mathbf{N}} J_n. Let y≠0y \neq 0 be a point of C, and p be the function ∑α∈Jλα(fα∣C)\sum_{\alpha \in J} \lambda_\alpha (f_\alpha|C) where the λα>0\lambda_\alpha > 0 are chosen so that p(y)=1p(y) = 1; this is possible, since if fα(y)=0f_\alpha(y) = 0 for all α∈J\alpha \in J, then y∈Vny \in V_n for all nn, which implies that y=0y = 0, and this is contrary to hypothesis. Now we remark that for all α∈I\alpha \in I, the function fα∣Cf_\alpha|C is continuous at the point 0, therefore there is an n∈Nn \in \mathbf{N}, such that fαf_\alpha is bounded in a WnW_n, therefore bounded above in C by a linear combination of a finite number of functions fβ∣Cf_\beta|C, where β∈J\beta \in J. It follows that if A in the set of x∈Cx \in C such that p(x)≤1p(x) \leq 1, then fαf_\alpha is bounded in A for all α∈I\alpha \in I. As p is lower semi-continuous in C, it follows that A is closed and non-empty in C and therefore is compact. Since it is clear that p verifies the conditions (i) and (ii) of prop. 4 of II, p. 58, we see that A is a cap in C and contains y.

Remark 2

There exist proper convex cones that are weakly complete and which have no extremal generator (II, p. 92, exerc. 31).

Cites 1

Cites § 7. Extremal points and extremal generators

3. Convex cones with compact sole

Proposition 6

Let E be a Hausdorff locally convex space and K a convex compact set in E which does not contain 0. Then the smallest pointed cone C of vertex 0 which contains KK is a proper convex cone in EE and is a locally compact and complete subspace of EE; also, there exists a closed hyperplane HH in EE that does not contain 0 and is such that HH meets all the half-lines originating at 0 contained in CC and such that H∩CH \cap C is compact. Further, if DD is the half-space containing 0 determined by HH, a closed hyperplane with these properties, then C∩DC \cap D is a cap of CC and CC is the union of the λ(C∩D)\lambda(C \cap D) for λ>0\lambda > 0.

Cites 2

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

By prop. 4 of II, p. 38, there exists a closed hyperplane HH which separates 0 strictly from KK. Now, the convex envelope AA of the union of {0}\{0\} and of KK is compact (II, p. 14, prop. 15) and is the union of the λK\lambda K with 0≤λ≤10 \leq \lambda \leq 1. As 0 and KK are strictly on opposite sides of HH, for every x∈Kx \in K there exists λ\lambda such that 0<λ<10 < \lambda < 1 and λx∈H\lambda x \in H. As CC is the union of the λA\lambda A for λ≥1\lambda \geq 1, we see that HH meets every half-line originating at 0 contained in CC and that H∩A=H∩CH \cap A = H \cap C is compact. Further, CC is also the union of the λ(H∩C)\lambda(H \cap C) for λ≥0\lambda \geq 0; let CnC_n be the union of the λ(H∩C)\lambda(H \cap C) for 0≤λ≤n0 \leq \lambda \leq n. Clearly CnC_n is the convex envelope of the union of {0}\{0\} and of n(H∩C)n(H \cap C), therefore it is compact. Also, for all x∈Ex \in E, there is a closed neighbourhood VV of xx in EE and an integer nn such that V∩C⊂CnV \cap C \subset C_n; in fact, if HH is defined by the equation f(z)=αf(z) = \alpha, where α>0\alpha > 0, it is sufficient to take for VV the closed half-space determined by nHnH and containing 0, where nn is so large that nα>f(x)n\alpha > f(x). This shows that CC is locally compact (taking x∈Cx \in C), and that it is closed in EE. We can also consider KK as a subset of the completion E^\hat{E}, therefore CC is also closed in E^\hat{E} and therefore complete.

Given a cone CC and a closed hyperplane HH in a Hausdorff topological vector space EE, such that HH does not contain the vertex ss of CC and CC is the smallest cone with vertex ss containing H∩CH \cap C, then we call the intersection H∩CH \cap C a « sole » of the cone CC. Prop. 6 shows that in a Hausdorff locally convex space EE, the smallest cone of vertex 0, containing a compact convex set KK to which 0 does not belong, is a cone of compact sole, and that every convex cone having a compact sole SS, is locally compact and complete.

Example 1

Every proper closed convex cone in EE, a vector space of finite dimension, has a compact sole. In fact, by II, p. 52, prop. 11 we need only consider the case where E=RnE = \mathbf{R}^n and C=R+nC = \mathbf{R}_+^n. If (ei)1≤i≤n(e_i)_{1 \leq i \leq n} is the canonical basis of Rn\mathbf{R}^n, it is clear that the compact convex set which is the convex envelope of the eie_i (1≤i≤n1 \leq i \leq n) is a compact sole for R+n\mathbf{R}_+^n.

Cites 1

Cites II § 6. Weak topologies

Example 2

\* If XX is a compact space, then the cone M+(X)\mathscr{M}_+(X) of positive measures on XX, with the vague topology, is a cone with a compact sole (INT, III, 2nd ed., § 1, No. 9, cor. 3 of prop. 15). \

Cites 1

Cites II § 1. Semi-norms

Exercises

See the exercises for § 7.

Transcribed from the printed volume. Not translated.