Bourbaki

§ 7. Barycenters

1. Definition of barycenters

Let E be a Hausdorff locally convex space over R\mathbf{R}, E′E' its dual, and E′∗{E'}^* the algebraic dual of E′E', E being canonically identified with a linear subspace of E′∗{E'}^*. Let K be a compact subset of E; the canonical injection of K into E being continuous with compact support, for every measure μ\mu on K the integral ∫x dμ(x)\int x\, d\mu(x) is therefore defined and is an element of E′∗{E'}^* (Ch. III, §3, No. 1). Moreover, on K, the topology induced by the weak topology σ(E′∗,E′)\sigma({E'}^*, E') is identical with the original topology. Finally, if C is the closed convex envelope of K in E′∗{E'}^* equipped with σ(E′∗,E′)\sigma({E'}^*, E'), then C∩EC \cap E is the closed convex envelope of K in E for the original topology (or for the weakened topology σ(E,E′)\sigma(E, E')).

Definition 1

Let K be a compact subset of a Hausdorff locally convex space E. For every positive measure μ\mu on K of total mass equal to 1, the vector bμ=∫x dμ(x)b_\mu = \int x\, d\mu(x) (belonging to E′∗{E'}^*) is called the barycenter of μ\mu.

Example

— Let μ\mu be a discrete measure on K, positive and of total mass 1; it is thus of the form μ=∑i=1nλiεxi\mu = \sum_{i=1}^n \lambda_i \varepsilon_{x_i}, where xi∈Kx_i \in K, and the λi\lambda_i are real numbers such that λi≥0\lambda_i \geq 0 for all ii and ∑i=1nλi=1\sum_{i=1}^n \lambda_i = 1. Since ∫x dεy(x)=y\int x\, d\varepsilon_y(x) = y (Ch. III, §3, No. 1, Example 3), bμ=∫x dμ(x)=∑iλixib_\mu = \int x\, d\mu(x) = \sum_i \lambda_i x_i. In particular, for every x∈Kx \in K, x is the barycenter of the measure εx\varepsilon_x.

Proposition 1

Let E be a Hausdorff locally convex space, K a compact subset of E, and C the closed convex envelope of K in E. The set C then consists of the points of E that are barycenters of at least one positive measure of mass 1 on K.

This is nothing more than Prop. 5 of Ch. III, §3, No. 2 applied to the canonical injection of K into E.

Corollary

If the closed convex envelope C of K in E is compact, then the barycenter of every positive measure of total mass 1 on K belongs to E.

For, C is then also the closed convex envelope of K in E′∗{E'}^* equipped with the weak topology σ(E′,E′)\sigma(E', E'), and it suffices to apply, to the canonical injection of K into E, Prop. 4 of Ch. III, §3, No. 2.

Remark

The Cor. of Prop. 1 is applicable in particular when K is convex or when E is quasi-complete.

Proposition 2

— Let K be a compact convex subset of a Hausdorff locally convex space E, μ\mu a positive measure of total mass 1 on K, bμb_\mu its barycenter. For every convex numerical function f≥0f \geq 0 that is lower semi-continuous on K,

f(bμ)≤∫∗fdμ. f(b_\mu) \leq \int^* f d\mu.
It is known (TVS, II, §5, No. 4, Prop. 5) that ff is the upper envelope of a family of restrictions to K of continuous affine linear functions hα:x↦cα+⟨x,zα′⟩h_\alpha : x \mapsto c_\alpha + \langle x, z'_\alpha \rangle. Then
∫hα(x)dμ(x)≤∫∗f(x)dμ(x) \int h_\alpha(x) d\mu(x) \leq \int^* f(x) d\mu(x)
for every α\alpha; now, ∫hα(x)dμ(x)=cα+∫⟨x,zα′⟩dμ(x)\int h_\alpha(x) d\mu(x) = c_\alpha + \int \langle x, z'_\alpha \rangle d\mu(x) since μ\mu has total mass 1; but ∫⟨x,zα′⟩dμ(x)=⟨bμ,zα′⟩\int \langle x, z'_\alpha \rangle d\mu(x) = \langle b_\mu, z'_\alpha \rangle by the definition of barycenter. Therefore sup⁡α∫hα(x)dμ(x)=sup⁡αhα(bμ)=f(bμ)\sup_\alpha \int h_\alpha(x) d\mu(x) = \sup_\alpha h_\alpha(b_\mu) = f(b_\mu), whence the conclusion.

When μ\mu is a discrete positive measure on K of total mass 1, Prop. 2 yields anew the inequality that defines the convex functions on K.

Corollary

— For every convex numerical function function g on K that is bounded and lower semi-continuous, g(bμ)≤∫gdμg(b_\mu) \leq \int g d\mu.

It suffices to note that inf⁡x∈Kg(x)=a\inf_{x \in K} g(x) = a is finite and apply Prop. 2 to g−ag - a.

2. Extremal points and barycenters

Proposition 3

— Let K be a compact convex subset of a Hausdorff locally convex space E, x a point of K. Every measure μ\mu on K, positive, of total mass 1, and admitting x as barycenter, is in the vague closure of the set of discrete positive measures of total mass 1 that admit x as barycenter.

Let U be a neighborhood of μ\mu for the vague topology; we can suppose that U consists of the measures ν\nu on K such that

∣μ(fi)−ν(fi)∣≤δ |\mu(f_i) - \nu(f_i)| \leq \delta
for a finite number of functions fi∈C(K;C)f_i \in \mathscr{C}(K; \mathbf{C}) (1≤i≤p1 \leq i \leq p) and a number δ>0\delta > 0. For every point a∈Ka \in K, there exists a closed convex neighborhood VaV_a of 0 in E such that
∣fi(y)−fi(a)∣≤δ/2 |f_i(y) - f_i(a)| \leq \delta/2

for 1≤i≤p1 \leq i \leq p and for every y∈Wa=K∩(a+Va)y \in W_a = K \cap (a + V_a). Since KK is compact, there exists a finite number of points aja_j (1≤j≤r1 \leq j \leq r) of KK such that the WajW_{a_j} form a covering of KK (1≤j≤r1 \leq j \leq r). Consider a continuous partition of unity (gj)1≤j≤r(g_j)_{1 \leq j \leq r} on KK, subordinate to the covering (Waj)(W_{a_j}), and set αj=μ(gj)\alpha_j = \mu(g_j) for all jj; if αj≠0\alpha_j \neq 0 set μj=αj−1gj⋅μ\mu_j = \alpha_j^{-1} g_j \cdot \mu, and if αj=0\alpha_j = 0 set μj=εaj\mu_j = \varepsilon_{a_j}. Each of the measures μj\mu_j is positive, of total mass 1, and its support is contained in the compact convex set WajW_{a_j}; moreover, by definition,

μ=∑j=1rαjμj \mu = \sum_{j=1}^r \alpha_j \mu_j

since gj⋅μ=0g_j \cdot \mu = 0 if μ(gj)=0\mu(g_j) = 0; the αj\alpha_j are ≥0\geq 0 and

∑j=1rαj=∑j=1rμ(gj)=μ(∑j=1rgj)=μ(1)=1. \sum_{j=1}^r \alpha_j = \sum_{j=1}^r \mu(g_j) = \mu \left( \sum_{j=1}^r g_j \right) = \mu(1) = 1 .

Let xjx_j be the barycenter of μj\mu_j, which belongs to WajW_{a_j} (No. 1, Prop. 1), and consider the discrete measure ν=∑j=1rαjεxj\nu = \sum_{j=1}^r \alpha_j \varepsilon_{x_j}; it is positive and of total mass 1, and its barycenter is ∑j=1rαjxj\sum_{j=1}^r \alpha_j x_j, which is also the barycenter of μ\mu by virtue of (3), thus is equal to xx. Moreover, by (2), ∣fi(y)−fi(aj)∣≤δ/2|f_i(y) - f_i(a_j)| \leq \delta/2 for all y∈Wajy \in W_{a_j} and for all ii, whence, since Supp⁡(μj)⊂Waj\operatorname{Supp}(\mu_j) \subset W_{a_j}, ∣μj(fi)−fi(aj)∣≤δ/2|\mu_j(f_i) - f_i(a_j)| \leq \delta/2 for 1≤i≤p1 \leq i \leq p. On the other hand, since xj∈Wajx_j \in W_{a_j}, one also has

∣εxj(fi)−fi(aj)∣≤δ/2 |\varepsilon_{x_j}(f_i) - f_i(a_j)| \leq \delta/2

for 1≤i≤p1 \leq i \leq p, whence ∣μj(fi)−εxj(fi)∣≤δ|\mu_j(f_i) - \varepsilon_{x_j}(f_i)| \leq \delta for all ii and jj. Since the αj\alpha_j are ≥0\geq 0 and have sum 1, it follows from (3) and the definition of ν\nu that ν\nu satisfies the inequality (1).

Q.E.D.

Corollary

— *Let K′K' be a compact subset of KK such that KK is the closed convex envelope of K′K'. In order that x∈K′x \in K' be an extremal point of KK, it is necessary and sufficient that εx\varepsilon_x be the only positive measure on K′K', of total mass 1, having xx as barycenter.

Suppose xx is an extremal point of KK; to prove that εx\varepsilon_x is the only positive measure on K′K', of total mass 1, having xx as barycenter, it suffices, by Prop. 3, to see that the set of discrete measures ν\nu on K′K' that are positive, of total mass 1, and have xx as barycenter, reduces to εx\varepsilon_x. But such a measure ν\nu is of the form ∑i=1rλiεxi\sum_{i=1}^r \lambda_i \varepsilon_{x_i} with λi>0\lambda_i > 0 for 1≤i≤r1 \leq i \leq r and ∑i=1rλi=1\sum_{i=1}^{r} \lambda_i = 1, and the hypothesis that xx is the barycenter of ν\nu may be written x=∑i=1rλixix = \sum_{i=1}^{r} \lambda_i x_i. Since xx is extremal, this implies that xi=xx_i = x for all ii, whence ν=εx\nu = \varepsilon_x.

Conversely, let us assume that εx\varepsilon_x is the only positive measure on K′K', of total mass 1, having xx as barycenter, and let us show that xx is extremal. In the contrary case, there would exist two distinct points x′,x′′x', x'' of KK and a real number λ\lambda such that 0<λ<10 < \lambda < 1 and x=λx′+(1−λ)x′′x = \lambda x' + (1 - \lambda) x''. By Prop. 1, x′x' (resp. x′′x'') is the barycenter of a positive measure μ′\mu' (resp. μ′′\mu'') on K′K' of total mass 1. Then xx is the barycenter of λμ′+(1−λ)μ′′\lambda \mu' + (1 - \lambda) \mu''. Therefore λμ′+(1−λ)μ′′=εx\lambda \mu' + (1 - \lambda) \mu'' = \varepsilon_x. Therefore μ′\mu' and μ′′\mu'' are proportional to εx\varepsilon_x, whence x′=x′′=xx' = x'' = x, which is absurd.

Theorem 1 (Choquet)

— *Let E be a Hausdorff locally convex space over R\mathbf{R}, K a metrizable compact convex subset of E, and M the set of extremal points of K. The set M is the intersection of a countable family of open sets in K, and every point of K is the barycenter of a measure μ\mu on K such that μ(K−M)=0\mu(K - M) = 0.

To prove the first assertion, denote by I the interval [0,1][0, 1] of R\mathbf{R}; since K is compact and metrizable, so is K×K×IK \times K \times I; the subset U of K×K×IK \times K \times I formed by the triples (x,y,λ)(x, y, \lambda) such that x≠yx \neq y and 0<λ<10 < \lambda < 1 is open in K×K×IK \times K \times I, therefore there exists a sequence (Fn)(F_n) of closed sets in K×K×IK \times K \times I whose union is U (GT, IX, §2, No. 5, Prop. 7). The mapping q:K×K×I→Kq : K \times K \times I \to K defined by q(x,y,λ)=λx+(1−λ)yq(x, y, \lambda) = \lambda x + (1 - \lambda) y is continuous and, by the definition of extremal point, K−M=q(U)=⋃nq(Fn)K - M = q(U) = \bigcup_n q(F_n); but FnF_n is compact since it is closed in K×K×IK \times K \times I, therefore q(Fn)q(F_n) is compact and therefore closed in K; the set Un=K−q(Fn)U_n = K - q(F_n) is therefore open in K, and we have M=⋂nUnM = \bigcap_n U_n.

In the continuation of the proof, we shall denote by uu a continuous and convex numerical function on K, by G⊂E×RG \subset E \times \mathbf{R} the graph of uu, and by S the closed convex envelope of G in E×RE \times \mathbf{R}.

Lemma 1

— *Let u‾\overline{u} be the lower envelope of the continuous affine linear functions on E that are ≥u\geq u on K. Then S is the set of points (a,b)∈E×R(a, b) \in E \times \mathbf{R} such that a∈Ka \in K and u(a)≤b≤u‾(a)u(a) \leq b \leq \overline{u}(a).

By the Hahn-Banach theorem, for (a,b)(a, b) to belong to S, it is necessary and sufficient that h(a,b)≥0h(a, b) \geq 0 for every continuous affine linear function hh on E×RE \times \mathbf{R} such that h(x,u(x))≥0h(x, u(x)) \geq 0 for x∈Kx \in K. Setting h(x,t)=f(x)−λth(x, t) = f(x) - \lambda t, where ff is a continuous affine linear function on E, we see that the relation (a,b)∈S(a, b) \in S is equivalent to the following property: the relation

f(x)≥λu(x)for all x∈K f(x) \geq \lambda u(x) \quad \text{for all } x \in K

implies

(5)

f(a)≥λb. f(a) \geq \lambda b .

First set λ=0\lambda = 0; the fact that (4) implies (5) for every continuous affine linear function ff on EE is equivalent to the relation a∈Ka \in K by the Hahn-Banach theorem. Next, set λ=−1\lambda = -1 and replace ff by −f-f; then the relation f(x)≤u(x)f(x) \leq u(x) in KK must imply f(a)≤bf(a) \leq b. But since uu is convex and continuous on KK, u(a)u(a) is equal to the supremum of the f(a)f(a) for the continuous affine linear functions ff on EE such that f(x)≤u(x)f(x) \leq u(x) on KK (TVS, II, §5, No. 4, Prop. 5); we thus obtain the relation b≥u(a)b \geq u(a). Finally, set λ=1\lambda = 1; to say that (4) implies (5) then means, by definition, that b≤u‾(a)b \leq \overline{u}(a). This proves the lemma, since the relation (4) (resp. (5)) is equivalent to the one obtained by multiplying both sides by a scalar >0> 0.

Lemma 2

If uu is strictly convex on KK, then u(x)<u‾(x)u(x) < \overline{u}(x) for every non-extremal point xx of KK.

For, there then exist two distinct points y,zy, z of KK such that x=(y+z)/2x = (y + z)/2, whence u(x)<(u(y)+u(z))/2u(x) < (u(y) + u(z))/2 since uu is strictly convex. If ff is an affine linear function on EE, then f(x)=(f(y)+f(z))/2f(x) = (f(y) + f(z))/2; applying this relation to the continuous affine linear functions ff that are ≥u\geq u on KK, we obtain

u‾(x)≥(u‾(y)+u‾(z))/2≥(u(y)+u(z))/2>u(x). \overline{u}(x) \geq (\overline{u}(y) + \overline{u}(z))/2 \geq (u(y) + u(z))/2 > u(x) .

These lemmas established, we therefore (Lemma 1) have (a,u‾(a))∈S(a, \overline{u}(a)) \in S for all a∈Ka \in K. Since GG is compact, being the image of KK under the continuous mapping x↦(x,u(x))x \mapsto (x, u(x)), there exists, by Prop. 1 of No. 1, a positive measure ν\nu on GG, of total mass 1 , having (a,u‾(a))(a, \overline{u}(a)) as barycenter. Since the restriction of the projection pr1pr_1 to GG is a homeomorphism of GG onto KK, the measure ν\nu may be transported by means of this homeomorphism, which yields a measure μ\mu on KK (positive and of total mass 1 ) such that

(6)

a=∫x dμ(x)andu‾(a)=∫u(x) dμ(x). a = \int x \, d\mu(x) \quad \text{and} \quad \overline{u}(a) = \int u(x) \, d\mu(x) .

The first of the relations (6) means that aa is the barycenter of μ\mu. The function u‾\overline{u} is upper semi-continuous and bounded on KK, hence is μ\mu-integrable (§4, No. 4, Cor. 1 of Prop. 5); moreover, since the function −u‾-\overline{u} is by definition convex, we have, by the Cor. of Prop. 2 of No. 1,

(7)

u‾(a)≥∫u‾(x) dμ(x), \overline{u}(a) \geq \int \overline{u}(x) \, d\mu(x) ,

whence, on comparing with the second of the formulas (6),

∫u(x) dμ(x)≥∫u‾(x) dμ(x). \int u(\mathbf{x})\, d\mu(\mathbf{x}) \geq \int \overline{u}(\mathbf{x})\, d\mu(\mathbf{x}) .

But since u(x)≤u‾(x)u(\mathbf{x}) \leq \overline{u}(\mathbf{x}) on K, the relation (8) implies that u(x)=u‾(x)u(\mathbf{x}) = \overline{u}(\mathbf{x}) almost everywhere for μ\mu. Taking into account Lemma 2, one sees that Theorem 1 will be proved once the following lemma has been established:

Lemma 3

Let E be a Hausdorff locally convex space over R\mathbf{R}, and K a metrizable compact convex subset of E. Then, there exists a strictly convex numerical function on K.

For, the Banach space C(K;R)\mathscr{C}(K; \mathbf{R}) is separable (GT, X, §3, No. 3, Th. 1), therefore so is the subspace A\mathscr{A} of C(K;R)\mathscr{C}(K; \mathbf{R}) formed by the restrictions to K of the continuous affine linear functions on E. Thus let (hn)(h_n) be a sequence dense in A\mathscr{A}, and let αn>sup⁡x∈K∣hn(x)∣\alpha_n > \sup_{\mathbf{x} \in K} |h_n(\mathbf{x})|. Then each of the functions hn2/n2αn2h_n^2 / n^2 \alpha_n^2 is convex in K (TVS, II, §2, No. 8, Examples), and the series with general term hn2/n2αn2h_n^2 / n^2 \alpha_n^2 is normally convergent, therefore its sum uu is continuous and convex in K. It remains to see that uu is strictly convex, and for this it suffices to prove that for any two distinct points x,x′\mathbf{x}, \mathbf{x}' of K, there is an integer nn such that the restriction of hn2h_n^2 to the segment with endpoints x,x′\mathbf{x}, \mathbf{x}' is strictly convex; but for this it suffices that hn(x)≠hn(x′)h_n(\mathbf{x}) \neq h_n(\mathbf{x}') (loc. cit.). Now, there exists a function h∈Ah \in \mathscr{A} such that h(x)≠h(x′)h(\mathbf{x}) \neq h(\mathbf{x}') (TVS, II, §4, No. 1, Cor. 1 of Prop. 2) and since the sequence (hn)(h_n) is dense in A\mathscr{A}, there exists an nn such that hn(x)≠hn(x′)h_n(\mathbf{x}) \neq h_n(\mathbf{x}').

Q.E.D.

Corollary

Let E be a Hausdorff locally convex space over R\mathbf{R}, C a proper convex cone in E with vertex 0, that is complete and metrizable for the uniform structure induced by the weakened uniform structure of E. Let M be the union of the extremal generators of C. For every x∈C\mathbf{x} \in C there exist a compact convex subset K of C and a measure λ≥0\lambda \geq 0 on K of total mass 1, such that K−(M∩K)K - (M \cap K) is λ\lambda-negligible and the barycenter of λ\lambda is equal to x\mathbf{x}.

For, x\mathbf{x} belongs to a cap K of C (TVS, II, §7, No. 2, Prop. 5), and M∩KM \cap K contains the set of extremal points of K (loc. cit., Cor. 1 of Prop. 4). It then suffices to apply Th. 1.

3. Applications: I. Vector spaces of continuous real functions

Let X be a nonempty compact space, H\mathscr{H} a linear subspace of the Banach space C(X;R)\mathscr{C}(X; \mathbf{R}) that contains the constants and separates the points of X (GT, X, §4, No. 1, Def. 1). We equip H\mathscr{H} with the normed space topology induced by that of C(X;R)C(X; \mathbf{R}), and denote by H′\mathscr{H}' the dual of this normed space. For every x∈Xx \in X, the mapping f↦f(x)f \mapsto f(x) is a continuous linear form on H\mathscr{H} (the restriction to H\mathscr{H} of the Dirac measure εx\varepsilon_x), thus is an element of H′\mathscr{H}' that will be denoted iH(x)i_{\mathscr{H}}(x), so that

⟨f,iH(x)⟩=f(x) \langle f, i_{\mathscr{H}}(x) \rangle = f(x)

for every function f∈Hf \in \mathscr{H} and every x∈Xx \in X.

The mapping iHi_{\mathscr{H}} of X into H′\mathscr{H}' is injective and continuous when H′\mathscr{H}' is equipped with the weak topology σ(H′,H)\sigma(\mathscr{H}', \mathscr{H}); the second assertion follows at once from the definitions and (9); as for the first, note that if x,x′x, x' are two distinct points of X, by hypothesis there exists a function h∈Hh \in \mathscr{H} such that h(x)≠h(x′)h(x) \neq h(x'), therefore, by (9), ⟨h,iH(x)⟩≠⟨h,iH(x′)⟩\langle h, i_{\mathscr{H}}(x) \rangle \neq \langle h, i_{\mathscr{H}}(x') \rangle and a fortiori iH(x)≠iH(x′)i_{\mathscr{H}}(x) \neq i_{\mathscr{H}}(x'). The image iH(X)i_{\mathscr{H}}(X) is therefore a compact subset of H′\mathscr{H}' (for the weak topology), and iHi_{\mathscr{H}} is a homeomorphism of X onto iH(X)i_{\mathscr{H}}(X).

Proposition 4

(i) The closed convex envelope C of iH(X)i_{\mathscr{H}}(X) in H′\mathscr{H}' (for the weak topology σ(H′,H)\sigma(\mathscr{H}', \mathscr{H})) is compact.

(ii) For a point iH(x)i_{\mathscr{H}}(x) to be an extremal point of C, it is necessary and sufficient that the only positive measure λ\lambda on X such that

h(x)=∫h dλ h(x) = \int h \, d\lambda

for every function h∈Hh \in \mathscr{H} (which implies in particular that λ\lambda has total mass 1, since 1∈H1 \in \mathscr{H}) be the Dirac measure εx\varepsilon_x.

It follows that, for each h∈Hh \in \mathscr{H}, the function z′↦⟨h,z′⟩z' \mapsto \langle h, z' \rangle on C attains its supremum at at least one extremal point of C (TVS, II, §7, No. 1, Prop. 1), and this point belongs to iH(X)i_{\mathscr{H}}(X) (loc. cit., Cor. of Prop. 2).

(i) By (9), ∥iH(x)∥≤1\| i_{\mathscr{H}}(x) \| \leq 1 in the normed space H′\mathscr{H}', in other words iH(X)i_{\mathscr{H}}(X) is bounded, and the assertion follows from the fact that H′\mathscr{H}', equipped with the weak topology σ(H′,H)\sigma(\mathscr{H}', \mathscr{H}), is quasi-complete (TVS, III, §4, No. 2, Cor. 5 of Th. 1).

(ii) Every positive measure μ\mu of mass 1 on iH(X)i_{\mathscr{H}}(X) arises, by transport of structure by means of the homeomorphism iHi_{\mathscr{H}}, from a positive measure λ\lambda of mass 1 on X, the Dirac measure εiH(x)\varepsilon_{i_{\mathscr{H}}(x)} arising from εx\varepsilon_x. To say that μ\mu admits iH(x)i_{\mathscr{H}}(x) as barycenter means, by definition, that

∫X⟨h,iH(z)⟩ dλ(z)=⟨h,iH(x)⟩ \int_X \langle h, i_{\mathscr{H}}(z) \rangle \, d\lambda(z) = \langle h, i_{\mathscr{H}}(x) \rangle

for every function h∈Hh \in \mathscr{H}. Taking (9) into account, the assertion (ii) is just the translation of the criterion of No. 2, Cor. of Prop. 3 for iH(x)i_{\mathscr{H}}(x) to be an extremal point of C.

We shall say that a point x∈Xx \in X satisfying condition (ii) of Prop. 4 is H\mathscr{H}-extremal; we denote by ChH(X)\mathrm{Ch}_{\mathscr{H}}(X) (or simply Ch(X)\mathrm{Ch}(X)) the set of these points, and by SˇH(X)\check{S}_{\mathscr{H}}(X) (or simply Sˇ(X)\check{S}(X)) the closure of ChH(X)\mathrm{Ch}_{\mathscr{H}}(X) in XX.

Proposition 5

Every function* h∈Hh \in \mathscr{H} attains its supremum at at least one H\mathscr{H}*-extremal point*.

Let xx be a point of XX, hh a function in H\mathscr{H}. The relation h(z)≤h(x)h(z) \leq h(x) for all z∈Xz \in X may be written ⟨h,iH(z)⟩≤⟨h,iH(x)⟩\langle h, i_{\mathscr{H}}(z) \rangle \leq \langle h, i_{\mathscr{H}}(x) \rangle for all z∈Xz \in X, and therefore means that the weakly closed hyperplane of H′\mathscr{H}' with equation ⟨h,t′⟩=⟨h,iH(x)⟩\langle h, t' \rangle = \langle h, i_{\mathscr{H}}(x) \rangle is a support hyperplane of iH(X)i_{\mathscr{H}}(X). It is known (TVS, II, §7, No. 1, Cor. of Prop. 1) that such a hyperplane contains at least one extremal point of the closed convex envelope of iH(X)i_{\mathscr{H}}(X), and such a point iH(y)i_{\mathscr{H}}(y) is the image of an H\mathscr{H}-extremal point yy by definition; h(y)h(y) is therefore equal to the supremum of hh in XX.

Proposition 6

For every point* x∈Xx \in X, the following properties are equivalent:

a) xx is H\mathscr{H}*-extremal*.

b) For every open neighborhood UU of xx in XX and every ε>0\varepsilon > 0, there exists a function h≥0h \geq 0 in H\mathscr{H} such that h(x)≤εh(x) \leq \varepsilon and h(y)≥1h(y) \geq 1 for every y∈X−Uy \in X - U.

Let xx be any point of XX, ff a function in C(X;R)\mathscr{C}(X; \mathbf{R}); it is known (TVS, II, §3, No. 1, Prop. 1) that the infimum of the numbers λ(f)\lambda(f), for all the positive measures on XX such that λ(h)=h(x)\lambda(h) = h(x) for every function h∈Hh \in \mathscr{H}, is equal to the supremum of the numbers h(x)h(x), where hh runs over the set of functions h∈Hh \in \mathscr{H} such that h≤fh \leq f. Suppose that xx is H\mathscr{H}-extremal; it then follows from Prop. 4, (ii) that for every function f∈C(X;R)f \in \mathscr{C}(X; \mathbf{R}),

f(x)=sup⁡h∈H,h≤fh(x). f(x) = \sup_{h \in \mathscr{H}, h \leq f} h(x).

To show that a) implies b), we take for ff a continuous mapping of XX into [0,1][0, 1], with support contained in UU, such that f(x)=1f(x) = 1; then, by (11), there exists a function h′∈Hh' \in \mathscr{H} such that h′≤fh' \leq f and h′(x)≥1−εh'(x) \geq 1 - \varepsilon. Since 1∈H1 \in \mathscr{H}, the function h=1−h′h = 1 - h' meets the conditions of b).

Conversely, suppose that the condition b) is verified; this condition implies that 1−h≤φU1 - h \leq \varphi_U; for every positive measure λ\lambda on XX satisfying the condition (10), we therefore have

λ(U)=λ(φU)≥λ(1−h)=1−h(x)≥1−ε. \lambda(U) = \lambda(\varphi_U) \geq \lambda(1 - h) = 1 - h(x) \geq 1 - \varepsilon.

Since, by hypothesis, this relation holds for every ε>0\varepsilon > 0 and every open neighborhood UU of xx, it follows that

λ({x})=inf⁡Uλ(U)≥1−ε \lambda(\{x\}) = \inf_U \lambda(U) \geq 1 - \varepsilon

for every ε>0\varepsilon > 0, therefore λ({x})=1\lambda(\{x\}) = 1. Since λ\lambda is positive and of total mass 1, necessarily λ=εx\lambda = \varepsilon_x, which proves that xx is H\mathscr{H}-extremal, by virtue of Prop. 4, (ii).

Proposition 7

Let F be a closed subset of X. The following properties are equivalent:

a) F contains SˇH(X)\check{S}_{\mathscr{H}}(X).

b) For every function h∈Hh \in \mathscr{H}, the set F intersects the set of points of X where h attains its supremum.

c) For every point x∈Xx \in X, there exists a positive measure μ\mu of total mass 1 on X, such that Supp⁡(μ)⊂F\operatorname{Supp}(\mu) \subset F and h(x)=∫h dμh(x) = \int h \, d\mu for every function h∈Hh \in \mathscr{H}.

Let G=iH(F)G = i_{\mathscr{H}}(F). The condition a) signifies that G contains the set of extremal points of C. The condition b) signifies that G meets the intersection of iH(X)i_{\mathscr{H}}(X) with each of the closed support hyperplanes of iH(X)i_{\mathscr{H}}(X). Finally, the condition c) signifies that every point of iH(X)i_{\mathscr{H}}(X) is the barycenter of a measure with support contained in G; by No. 1, Prop. 1, this is also equivalent to saying that the closed convex envelope of iH(X)i_{\mathscr{H}}(X) is equal to the closed convex envelope of G. The equivalence of the conditions a), b) and c) therefore follows from TVS, II, §7, No. 1, Cor. of Prop. 2.

Proposition 8

Suppose X is metrizable. Then the set Ch⁡H(X)\operatorname{Ch}_{\mathscr{H}}(X) of H\mathscr{H}-extremal points of X is the intersection of a countable family of open sets in X, and for every x∈Xx \in X, there exists a positive measure μ\mu of total mass 1 on X such that

μ(X−Ch⁡H(X))=0and∫h dμ=h(x) \mu(X - \operatorname{Ch}_{\mathscr{H}}(X)) = 0 \quad \text{and} \quad \int h \, d\mu = h(x)

for every h∈Hh \in \mathscr{H}.

This is the translation of Th. 1 of No. 2, by transport of structure by means of the homeomorphism x↦iH(x)x \mapsto i_{\mathscr{H}}(x), as in Prop. 5.

A certain number of results of this No. may be extended when H\mathscr{H} is replaced by a set P\mathscr{P} of functions defined on X, with values in R∪{+∞}\mathbf{R} \cup \{+\infty\}, that are lower semi-continuous, P\mathscr{P} being assumed to contain the constants and to satisfy P+P⊂P\mathscr{P} + \mathscr{P} \subset \mathscr{P} (Exer. 2).

Example

— Take X to be the unit ball ∥x∥≤1\|x\| \leq 1 in R3\mathbf{R}^3, and let H\mathscr{H} be a vector space of continuous functions on X, containing the restrictions to X of the affine linear functions on R3\mathbf{R}^3 and satisfying the maximum principle, that is, for every non-constant function h∈Hh \in \mathscr{H}, the set of points of X where h attains its supremum is contained in the sphere S2S_2. It then follows easily from Props. 5 and 7 that Ch⁡H(X)=SˇH(X)=S2\operatorname{Ch}_{\mathscr{H}}(X) = \check{S}_{\mathscr{H}}(X) = S_2. An important example of a vector space H\mathscr{H} satisfying the preceding conditions is the set of functions continuous on X and harmonic in the open ball ∥x∥<1\|x\| < 1. For these functions, one proves that the positive measure μ\mu of mass 1 such that Supp⁡(μ)⊂S2\operatorname{Supp}(\mu) \subset S_2 and h(x)=∫h dμh(x) = \int h \, d\mu for all h∈Hh \in \mathscr{H} is given, if ∥x∥<1\|x\| < 1, by Poisson’s formula

dμ(z)=1−∥z∥2∥z−x∥3dσ(z), d\mu(z) = \frac{1 - \|z\|^2}{\|z - x\|^3} d\sigma(z),

where σ\sigma is the measure on S2S_2 invariant under the orthogonal group and such that σ(S2)=1\sigma(S_2) = 1 (Ch. VII, §3, Exer. 8).

4. Applications: II. Vector spaces of continuous complex functions

Let XX be a nonempty compact space, H\mathscr{H} a linear subspace of the complex Banach space C(X;C)\mathscr{C}(X; \mathbf{C}) that contains the constants and separates the points of XX. The set of real parts ℜ(f)\Re(f) of the functions f∈Hf \in \mathscr{H} is a linear subspace Hr\mathscr{H}_r of the real vector space C(X;R)\mathscr{C}(X; \mathbf{R}); for every f∈Hf \in \mathscr{H}, the set Hr\mathscr{H}_r also contains I(f)=ℜ(−if)\mathscr{I}(f) = \Re(-if); it follows that Hr\mathscr{H}_r separates the points of XX, because the relation h(x)=h(y)h(x) = h(y) for all h∈Hrh \in \mathscr{H}_r implies that ℜ(f(x))=ℜ(f(y))\Re(f(x)) = \Re(f(y)) and I(f(x))=I(f(y))\mathscr{I}(f(x)) = \mathscr{I}(f(y)) and so f(x)=f(y)f(x) = f(y) for all f∈Hf \in \mathscr{H}. The Hr\mathscr{H}_r-extremal points in XX are again called H\mathscr{H}-extremal, the set of them is denoted ChH(X)\mathrm{Ch}_{\mathscr{H}}(X), and the closure of the latter set is denoted SˇH(X)\check{S}_{\mathscr{H}}(X). The analogues of Props. 5 and 7 are the following:

Proposition 9

For every function f∈Hf \in \mathscr{H}, ChH(X)\mathrm{Ch}_{\mathscr{H}}(X) intersects the set of points where ∣f∣|f| attains its supremum.

We may limit ourselves to the case that ff is not the constant 0. Let aa be a point of XX where ∣f∣|f| attains its supremum, and set g=f/f(a)g = f/f(a); then g(a)=1g(a) = 1 and ∣g(x)∣≤1|g(x)| \leq 1 for all x∈Xx \in X, whence

ℜ(g(a))=1andℜ(g(x))≤1for all x∈X. \Re(g(a)) = 1 \quad \text{and} \quad \Re(g(x)) \leq 1 \quad \text{for all } x \in X.

By Prop. 5 of No. 3 applied to Hr\mathscr{H}_r, there exists b∈ChH(X)b \in \mathrm{Ch}_{\mathscr{H}}(X) where ℜ((g(x))\Re((g(x)) attains its supremum 1, whence ∣g(b)∣=1|g(b)| = 1 since ∣g(b)∣≤1|g(b)| \leq 1; it follows that ∣f(b)∣=∣(f(a)∣≥∣f(x)∣|f(b)| = |(f(a)| \geq |f(x)| for all x∈Xx \in X.

Proposition 10

Let FF be a closed subset of XX. The following properties are equivalent: a) FF contains SˇH(X)\check{S}_{\mathscr{H}}(X). b) For every function f∈Hf \in \mathscr{H}, FF intersects the set of points of XX where ∣f∣|f| attains its supremum. c) For every point x∈Xx \in X, there exists a positive measure μ\mu of total mass 1 on XX such that Supp(μ)⊂F\mathrm{Supp}(\mu) \subset F and f(x)=∫fdμf(x) = \int f d\mu for every function f∈Hf \in \mathscr{H}. Let us prove the equivalence of the conditions a) and c): let f=f1+if2f = f_1 + i f_2 with f1,f2f_1, f_2 in Hr\mathscr{H}_r; the relation f(x)=∫fdμf(x) = \int f d\mu is equivalent to the two relations f1(x)=∫f1dμf_1(x) = \int f_1 d\mu and f2(x)=∫f2dμf_2(x) = \int f_2 d\mu; it thus suffices to apply to Hr\mathscr{H}_r the equivalence of the conditions a) and c) of Prop. 7 of No. 3. The fact that a) implies b) follows from Prop. 9. Let us show that b) implies a); this is a matter of seeing that if b) is verified, then, for every h∈Hrh \in \mathscr{H}_r, F intersects the set of points where hh attains its infimum in X. The condition b) implies that F is nonempty; since F is compact, there exists a∈Fa \in F such that h(a)≤h(y)h(a) \leq h(y) for all y∈Fy \in F. Let f∈Hf \in \mathscr{H} be such that h=R(f)h = \mathscr{R}(f); for every ε>0\varepsilon > 0, the function g=f−h(a)+εg = f - h(a) + \varepsilon belongs to H\mathscr{H}, and

R(g(y))=h(y)−h(a)+ε≥ε \mathscr{R}(g(y)) = h(y) - h(a) + \varepsilon \geq \varepsilon
for all y∈Fy \in F. Let cc be the supremum of ∣g∣|g| in X, and set b=c2/2εb = c^2 / 2\varepsilon; for every y∈Fy \in F,
∣g(y)−b∣2=∣g(y)∣2−2bR((g(y)))+b2≤c2−2bε+b2=b2, |g(y) - b|^2 = |g(y)|^2 - 2b \mathscr{R}((g(y))) + b^2 \leq c^2 - 2b\varepsilon + b^2 = b^2,
in other words, the supremum in F of the function ∣g−b∣|g - b| is ≤b\leq b. Since g−b∈Hg - b \in \mathscr{H}, the hypothesis on F implies that ∣g−b∣≤b|g - b| \leq b, whence
b2≥∣g−b∣2=∣g∣2−2bR(g)+b2 b^2 \geq |g - b|^2 = |g|^2 - 2b \mathscr{R}(g) + b^2
and so R(g)≥∣g∣2/2b≥0\mathscr{R}(g) \geq |g|^2 / 2b \geq 0; since R(g)=h−h(a)+ε\mathscr{R}(g) = h - h(a) + \varepsilon, and ε>0\varepsilon > 0 is arbitrary, we have h≥h(a)h \geq h(a), and h(a)h(a) is the infimum of hh in X, which completes the proof.

Remark

If ff is a continuous real function, a point where ∣f∣|f| attains its supremum is a point where one of the functions f,−ff, -f attains its supremum. For a vector space H\mathscr{H} of continuous real functions satisfying the hypotheses of No. 3, the Props. 9 and 10 are thus trivial corollaries of Props. 5 and 7, respectively.

5. Applications: III. Algebras of continuous functions

Lemma 4

Let X be a compact space, H\mathscr{H} a closed linear subspace of the Banach space C(X;C)\mathscr{C}(X; \mathbf{C}) (resp. C(X;R)\mathscr{C}(X; \mathbf{R})). Let a be a point of X admitting a countable fundamental system of neighborhoods; assume that, for any numbers c and d such that 0<c<d<10 < c < d < 1 and any open neighborhood U of a, there exists an f∈Hf \in \mathscr{H} such that

∣f∣≤1,∣f(a)∣≥d,∣f(x)∣≤c for all x∈X−U. |f| \leq 1,\quad |f(a)| \geq d,\quad |f(x)| \leq c \text{ for all } x \in X - U.
Then there exists a function u∈Hu \in \mathscr{H} such that ∣u(x)∣<∣u(a)∣|u(x)| < |u(a)| for all x≠ax \neq a.

Let (Vn)(V_n) (n≥1n \geq 1) be a fundamental system of neighborhoods of aa, and let λ,μ,ε\lambda, \mu, \varepsilon be numbers such that

0<λ<1,1<μ<μ+ε≤1+λ. 0 < \lambda < 1,\quad 1 < \mu < \mu + \varepsilon \leq 1 + \lambda.
Thus 0<λ/μ<1/μ<10 < \lambda / \mu < 1 / \mu < 1. We are going to define, by induction on nn (n≥1n \geq 1), a decreasing sequence (Un)(U_n) of open neighborhoods of aa such that Un⊂VnU_n \subset V_n for all nn, and a sequence (hn)(h_n) of functions in H\mathscr{H} satisfying the relations
(13n)∣hn(x)∣≤μfor all x∈X(14n)hn(a)=1(15n)∣hn(x)∣≤λfor all x∈X−Un(16n)∣∑j=1nλjhj(y)∣<∑j=1n+1λjfor all y∈X. \begin{align*} (13_n) &\quad |h_n(x)| \leq \mu \quad \text{for all } x \in X \\ (14_n) &\quad h_n(a) = 1 \\ (15_n) &\quad |h_n(x)| \leq \lambda \quad \text{for all } x \in X - U_n \\ (16_n) &\quad \left| \sum_{j=1}^n \lambda^j h_j(y) \right| < \sum_{j=1}^{n+1} \lambda^j \quad \text{for all } y \in X. \end{align*}
Assume hmh_m and UmU_m defined for 1≤m<n1 \leq m < n, satisfying the four preceding conditions (with nn replaced by mm); on the other hand, set U0=XU_0 = X. The function ∑j=1n−1λjhj\sum_{j=1}^{n-1} \lambda^j h_j (equal to 0 if n=1n = 1) is continuous and takes the value ∑j=1n−1λj\sum_{j=1}^{n-1} \lambda^j at the point aa; therefore there exists an open neighborhood UnU_n of aa, contained in Un−1∩VnU_{n-1} \cap V_n, such that
∣∑j=1n−1λjhj(y)∣<∑j=1n−1λj+ελnfor all y∈Un. \left| \sum_{j=1}^{n-1} \lambda^j h_j(y) \right| < \sum_{j=1}^{n-1} \lambda^j + \varepsilon \lambda^n \quad \text{for all } y \in U_n.
By hypothesis there exists a function f∈Hf \in \mathscr{H} such that
∣f(x)∣≤1for all x∈X,∣f(a)∣≥1/μ,∣f(x)∣≤λ/μfor x∈X−Un. \begin{align*} |f(x)| &\leq 1 \quad \text{for all } x \in X , \quad |f(a)| \geq 1 / \mu , \\ |f(x)| &\leq \lambda / \mu \quad \text{for } x \in X - U_n . \end{align*}
Set hn=f/f(a)h_n = f / f(a); the relations (13n)(13_n), (14n)(14_n) and (15n)(15_n) then hold; set
g=∑j=1nλjhj=∑j=1n−1λjhj+λnhn. g = \sum_{j=1}^n \lambda^j h_j = \sum_{j=1}^{n-1} \lambda^j h_j + \lambda^n h_n .
By (17) and (13n)(13_n), for y∈Uny \in U_n we have
∣g(y)∣<∑j=1n−1λj+ελn+μλn≤∑j=1n+1λj, |g(y)| < \sum_{j=1}^{n-1} \lambda^j + \varepsilon \lambda^n + \mu \lambda^n \leq \sum_{j=1}^{n+1} \lambda^j ,

since ε+μ≤1+λ\varepsilon + \mu \leq 1 + \lambda; for x∈X−Unx \in X - U_n, we have ∣hp(x)∣≤λ|h_p(x)| \leq \lambda for 1≤p≤n1 \leq p \leq n, whence also

∣g(x)∣≤∑j=2n+1λj<∑j=1n+1λj, |g(x)| \leq \sum_{j=2}^{n+1} \lambda^j < \sum_{j=1}^{n+1} \lambda^j,
which completes the proof of (16n)(16_n).

This being so, the series ∑n=1∞λnhn\sum_{n=1}^{\infty} \lambda^n h_n is normally convergent in XX since λ<1\lambda < 1 and ∣hn(x)∣≤μ|h_n(x)| \leq \mu for all nn and all x∈Xx \in X; let uu be its sum, which belongs to H\mathscr{H} since H\mathscr{H} is closed. By the relation (14n)(14_n), we have u(a)=∑n=1∞λnu(a) = \sum_{n=1}^{\infty} \lambda^n; on the other hand if x≠ax \neq a, there exists an integer nn such that x∉Un+1x \notin U_{n+1}; therefore ∣hn+k(x)∣≤λ|h_{n+k}(x)| \leq \lambda for all k≥1k \geq 1 by the relation (15n)(15_n); it follows, using (16n)(16_n), that

∣u(x)∣≤∣∑j=1nλjhj(x)∣+∣∑j=n+1∞λjhj(x)∣<∑j=1n+1λj+λ∑j=n+1∞λj |u(x)| \leq \left| \sum_{j=1}^n \lambda^j h_j(x) \right| + \left| \sum_{j=n+1}^{\infty} \lambda^j h_j(x) \right| < \sum_{j=1}^{n+1} \lambda^j + \lambda \sum_{j=n+1}^{\infty} \lambda^j
=∑j=1∞λj=∣u(a)∣. = \sum_{j=1}^{\infty} \lambda^j = |u(a)|.

Theorem 2 (E. Bishop)

— *Let XX be a compact space, A\mathscr{A} a closed subalgebra of the complex Banach algebra C(X;C)\mathscr{C}(X; \mathbf{C}). Assume that A\mathscr{A} contains the constants and separates the points of XX. Let aa be a point of XX; the following conditions are equivalent:

a) There exists a function f∈Af \in \mathscr{A} such that ∣f(x)∣<∣f(a)∣|f(x)| < |f(a)| for all x≠ax \neq a.

b) The point aa is A\mathscr{A}-extremal and admits a countable fundamental system of neighborhoods.

a) ⇒\Rightarrow b): Let f∈Af \in \mathscr{A} be such that ∣f(a)∣>∣f(x)∣|f(a)| > |f(x)| for x≠ax \neq a; by Prop. 9 of No. 4, aa is an A\mathscr{A}-extremal point. On the other hand, if UnU_n is the set of x∈Xx \in X such that ∣f(x)∣>∣f(a)∣−1/n|f(x)| > |f(a)| - 1/n, then UnU_n is an open neighborhood of aa, and the intersection of the UnU_n reduces to aa; since XX is compact, the UnU_n form a fundamental system of neighborhoods of aa (GT, I, §9, No. 1, Th. 1).

b) ⇒\Rightarrow a): It suffices to verify that b) implies the hypotheses of Lemma 4. With the notations of that lemma, set ε=log⁡d/log⁡c\varepsilon = \log d / \log c; thus 0<ε<10 < \varepsilon < 1. Since aa is an Ar\mathscr{A}_r-extremal point, there exists a function g∈Ag \in \mathscr{A} such that

R(g)≥0,R(g(a))≤ε,R(g(x))≥1 for x∈X−U \mathscr{R}(g) \geq 0,\quad \mathscr{R}(g(a)) \leq \varepsilon,\quad \mathscr{R}(g(x)) \geq 1 \text{ for } x \in X - U

(No. 3, Prop. 6, b)). Set f=cgf = c^g; since ff is the sum of the normally convergent series ∑n=0∞(log⁡c)ngn/n!\sum_{n=0}^{\infty} (\log c)^n g^n / n!, we have f∈Af \in \mathscr{A} and

∣f∣≤1,∣f(a)∣≥cε=d,∣f(x)∣≤c for x∈X−U. |f| \leq 1,\quad |f(a)| \geq c^{\varepsilon} = d,\quad |f(x)| \leq c \text{ for } x \in X - U.

Q.E.D.

Corollary

— Suppose in addition that XX is metrizable. Then the following properties are equivalent:

a) aa is an A\mathscr{A}-extremal point of XX.

b) There exists u∈Au \in \mathscr{A} such that ∣u(x)∣<∣u(a)∣|u(x)| < |u(a)| for all x≠ax \neq a.

c) Let M\mathfrak{M} be the set of subsets MM of XX such that for every function f∈Af \in \mathscr{A}, ∣f∣|f| attains its supremum in XX at at least one point of MM. Then aa belongs to all of the sets M∈MM \in \mathfrak{M}.

d) Let N\mathfrak{N} be the set of subsets NN of XX such that, for every function f∈Af \in \mathscr{A}, R(f)\mathscr{R}(f) attains its supremum in XX at at least one point of NN. Then aa belongs to all of the sets N∈NN \in \mathfrak{N}.

In other words,

ChA(X)=⋂M∈MM=⋂N∈NN. \mathrm{Ch}_{\mathscr{A}}(X) = \bigcap_{M \in \mathfrak{M}} M = \bigcap_{N \in \mathfrak{N}} N.

Since, in a metrizable space, every point admits a countable fundamental system of neighborhoods, the equivalence of a) and b) follows from Th. 2. Let us show that b) implies c): indeed, aa is the unique point where ∣u∣|u| attains its supremum; on the other hand, c) implies a) because, for every f∈Af \in \mathscr{A}, ChA(X)\mathrm{Ch}_{\mathscr{A}}(X) intersects the set of points where ∣f∣|f| attains its supremum (No. 4, Prop. 9). The same reasoning, using Prop. 5 of No. 3, shows that d) implies a). Finally, to see that b) implies d), we can restrict ourselves to the case that XX does not reduce to the single point aa, therefore u(a)≠0u(a) \neq 0; the function v=u/u(a)v = u/u(a) then belongs to A\mathscr{A}, and we have v(a)=1v(a) = 1 and ∣v(x)∣<1|v(x)| < 1 for x≠ax \neq a, whence R(v(a))=1\mathscr{R}(v(a)) = 1 and R(v(x))<1\mathscr{R}(v(x)) < 1 for x≠ax \neq a. Since the function R(v)\mathscr{R}(v) attains its supremum only at the point aa, we have indeed a∈Na \in N for every N∈NN \in \mathfrak{N}.

Example

— Let X1X_1 be the set of points (z1,z2)∈C2(z_1, z_2) \in \mathbf{C}^2 such that ∣z1∣2+∣z2∣2≤1|z_1|^2 + |z_2|^2 \leq 1 (the unit ball in R4\mathbf{R}^4) and let A1′\mathscr{A}_1' be the set of restrictions to X1X_1 of the holomorphic functions, with values in C\mathbf{C}, defined in a neighborhood of X1X_1 in C2\mathbf{C}^2 (the neighborhood depending on the function considered); let A1\mathscr{A}_1 be the closure of A1′\mathscr{A}_1' in C(X1;C)\mathscr{C}(X_1; \mathbf{C}), which is obviously a closed complex subalgebra of C(X1;C)\mathscr{C}(X_1; \mathbf{C}) and separates the points of X1X_1. Application of the 'maximum principle' for holomorphic functions shows that ChA1(X1)\mathrm{Ch}_{\mathscr{A}_1}(X_1) is the sphere S3S_3.

In the preceding definition, let us replace X1X_1 by the 'polydisk' X2X_2 defined by the relations ∣z1∣≤1|z_1| \leq 1 and ∣z2∣≤1|z_2| \leq 1, which yields subalgebras A2′\mathscr{A}_2' and A2\mathscr{A}_2 (the closure of A2′\mathscr{A}_2' of C(X2;C)\mathscr{C}(X_2; \mathbf{C}). Here, the maximum principle shows that ChA2(X2)\mathrm{Ch}_{\mathscr{A}_2}(X_2) is the 'torus' defined by the relations ∣z1∣=1|z_1| = 1 and ∣z2∣=1|z_2| = 1.

From these results, one deduces that there does not exist an analytic isomorphism of an open neighborhood of X1X_1 onto an open neighborhood of X2X_2 that transforms X1X_1 into X2X_2; for, if vv were the restriction to X1X_1 of such a mapping, one would have A2=vA1v−1\mathscr{A}_2 = v \mathscr{A}_1 v^{-1} and so vv would transform S3S_3 into a space homeomorphic to T2T^2, which is absurd since S3S_3 is simply connected but T2T^2 is not. One will observe, however, that the spaces X1X_1 and X2X_2 are homeomorphic, both being bounded convex sets in R4\mathbf{R}^4 with nonempty interior.

6. Uniqueness of integral representations

Let E be a Hausdorff weak locally convex space (TVS, II, §6, No. 2), C a proper pointed convex cone in E. One knows that C is the set of elements ⩾0\geqslant 0 of E for an order relation compatible with the vector space structure of E. When C is said to be lattice-ordered, it is of course the order induced on C by that of E that is understood.

Lemma 5

Assume that C is weakly complete. Let A\mathscr{A} be the set of restrictions to C of the continuous linear forms on E. Let (fλ)λ∈Λ(f_\lambda)_{\lambda \in \Lambda} be a finite family of elements of A\mathscr{A}, and f=sup⁡(fλ)f = \sup(f_\lambda). For every x∈Cx \in C, define

f‾(x)=sup⁡(f(x1)+f(x2)+⋯+f(xn)), \overline{f}(x) = \sup \left( f(x_1) + f(x_2) + \cdots + f(x_n) \right),

*the supremum being taken over the set SxS_x of sequences (x1,x2,…,xn)(x_1, x_2, \ldots, x_n) of elements of C such that x1+x2+⋯+xn=xx_1 + x_2 + \cdots + x_n = x. Let Card Λ=p\mathrm{Card}\, \Lambda = p. Then there exists (y1,…,yp)∈Sx(y_1, \ldots, y_p) \in S_x such that f‾(x)=f(y1)+⋯+f(yp)\overline{f}(x) = f(y_1) + \cdots + f(y_p).

Denote by f1,f2,…,fpf_1, f_2, \ldots, f_p the elements of the family (fλ)(f_\lambda). For k=1,2,…,pk = 1, 2, \ldots, p, let CkC_k be the set of y∈Cy \in C such that

f1(y)<f(y), f2(y)<f(y), …, fk−1(y)<f(y), fk(y)=f(y). f_1(y) < f(y),\ f_2(y) < f(y),\ \ldots,\ f_{k-1}(y) < f(y),\ f_k(y) = f(y).

The CkC_k are disjoint convex cones with union C. Let x1,x2,…,xnx_1, x_2, \ldots, x_n in C be such that x1+x2+⋯+xn=xx_1 + x_2 + \cdots + x_n = x. Let yky_k be the sum of the xix_i that belong to CkC_k. Then y1+y2+⋯+yp=xy_1 + y_2 + \cdots + y_p = x. Since ff is affine on CkC_k, f(y1)+⋯+f(yp)=f(x1)+⋯+f(xn)f(y_1) + \cdots + f(y_p) = f(x_1) + \cdots + f(x_n). Therefore

f(x)=sup⁡(f(y1)+⋯+f(yp)), f(x) = \sup \left( f(y_1) + \cdots + f(y_p) \right),

where (y1,y2,…,yp)(y_1, y_2, \ldots, y_p) runs over the set of sequences of pp points of C such that y1+y2+⋯+yp=xy_1 + y_2 + \cdots + y_p = x. Set D=C∩(x−C)D = C \cap (x - C). Since D is compact (TVS, II, §6, No. 8, Cor. 2 of Prop. 11), so is the set of elements (y1,…,yp)(y_1, \ldots, y_p) of DpD^p such that y1+⋯+yp=xy_1 + \cdots + y_p = x, thus the supremum (19) is attained.

Lemma 6

We maintain the hypotheses and notations of Lemma 5, and assume the fλf_\lambda to be positive. The function f‾\overline{f} is positively homogeneous, concave and upper semi-continuous in CC. It is affine if CC is lattice-ordered.

It is clear that f‾\overline{f} is positively homogeneous. Let x,yx, y belong to CC. If x1,…,xm,y1,…,ynx_1, \ldots, x_m, y_1, \ldots, y_n in CC are such that x1+⋯+xm=x, y1+⋯+yn=yx_1 + \cdots + x_m = x,\ y_1 + \cdots + y_n = y, then x1+⋯+xm+y1+⋯+yn=x+yx_1 + \cdots + x_m + y_1 + \cdots + y_n = x + y, therefore

f(x1)+⋯+f(xm)+f(y1)+⋯+f(yn)≤f‾(x+y); f(x_1) + \cdots + f(x_m) + f(y_1) + \cdots + f(y_n) \leq \overline{f}(x + y);

it follows that f‾(x)+f‾(y)≤f‾(x+y)\overline{f}(x) + \overline{f}(y) \leq \overline{f}(x + y), therefore f‾\overline{f} is concave. Let LL (resp. LλL_\lambda) be the set of (t,x)∈R×E(t, x) \in \mathbf{R} \times E such that x∈Cx \in C and 0≤t≤f‾(x)0 \leq t \leq \overline{f}(x) (resp. 0≤t≤fλ(x)0 \leq t \leq f_\lambda(x)). Each of the LλL_\lambda is closed in the weakly complete proper convex cone R+×C\mathbf{R}_+ \times C, therefore the sum ∑λ∈ΛLλ\sum_{\lambda \in \Lambda} L_\lambda is closed (TVS, II, §6, No. 8, Cor. 2 of Prop. 11). By Lemma 5, this sum is equal to LL. Therefore LL is closed, which proves that f‾\overline{f} is upper semi-continuous. Finally, assume CC is lattice-ordered, and let us prove that f‾\overline{f} is convex. Let x,yx, y belong to CC and let ε>0\varepsilon > 0. There exist z1,z2,…,znz_1, z_2, \ldots, z_n in CC such that f(z1)+⋯+f(zn)≥f‾(x+y)−εf(z_1) + \cdots + f(z_n) \geq \overline{f}(x + y) - \varepsilon and z1+⋯+zn=x+yz_1 + \cdots + z_n = x + y. The vector space C−CC - C is lattice-ordered for the order induced by that of EE (A, VI, §1, No. 9, Prop. 8). By the decomposition theorem (loc. cit., No. 10, Th. 1), there exist x1,…,xn,y1,…,ynx_1, \ldots, x_n, y_1, \ldots, y_n in CC such that

x1+y1=z1, …, xn+yn=zn, x1+⋯+xn=x, y1+⋯+yn=y. x_1 + y_1 = z_1,\ \ldots,\ x_n + y_n = z_n,\ x_1 + \cdots + x_n = x,\ y_1 + \cdots + y_n = y.

Then, since ff is positively homogeneous and convex,

f‾(x+y)≤ε+f(z1)+⋯+f(zn)≤ε+f(x1)+f(y1)+⋯+f(xn)+f(yn)≤ε+f‾(x)+f‾(y). \begin{align*} \overline{f}(x + y) &\leq \varepsilon + f(z_1) + \cdots + f(z_n) \\ &\leq \varepsilon + f(x_1) + f(y_1) + \cdots + f(x_n) + f(y_n) \\ &\leq \varepsilon + \overline{f}(x) + \overline{f}(y). \end{align*}

Since ε\varepsilon is an arbitrary number >0> 0, we have proved that f‾\overline{f} is indeed convex.

Theorem 3 (Choquet)

Let EE be a Hausdorff weak locally convex space, CC a weakly complete proper convex cone with vertex 0 in EE, GG the union of the extremal generators of CC, KK a compact convex subset of CC, λ\lambda and λ′\lambda' positive measures of mass 1 on KK, admitting the same barycenter, such that λ∗(K−(K∩G))=λ′∗(K−(K∩G))=0\lambda^*(K - (K \cap G)) = {\lambda'}^*(K - (K \cap G)) = 0. Assume that CC is lattice-ordered. Then, for every lower semi-continuous, positively homogeneous convex function f≥0f \geq 0 on CC, λ∗(f∣K)=λ′∗(f∣K)\lambda^*(f|K) = {\lambda'}^*(f|K).

Let A\mathscr{A} (resp. A′\mathscr{A}') be the set of restrictions to CC of the continuous linear forms (resp. affine functions) on EE. We know (TVS, II, §5, No. 4, Remark 2) that ff is the upper envelope of the set of elements of A\mathscr{A} that are ≤f\leq f. The set of functions of the form sup⁡(f1,…,fp)\sup(f_1, \ldots, f_p), where f1,…,fpf_1, \ldots, f_p belong to A\mathscr{A}, f1≥0,…,fp≥0f_1 \geq 0, \ldots, f_p \geq 0, is an increasing directed set and has ff as its upper envelope. Taking into account §1, No. 1, Th. 1, it suffices to verify the equality λ(f∣K)=λ′(f∣K)\lambda(f|K) = \lambda'(f|K) when ff is of the preceding form.

Define f‾\overline{f} as in Lemma 5. It is clear that f‾(y)=f(y)\overline{f}(y) = f(y) if y∈Gy \in G. Since λ∗(K−(K∩G))=0\lambda^*(K - (K \cap G)) = 0, we have λ(f∣K)=λ(f‾∣K)\lambda(f|K) = \lambda(\overline{f}|K). By Lemma 6, f‾\overline{f} is affine and upper semi-continuous. Therefore f‾∣K\overline{f}|K is the lower envelope of a decreasing directed set of restrictions of elements of A′\mathscr{A}' to K (TVS, II, §5, No. 4, Prop. 6). Let x∈Kx \in K be the barycenter of λ\lambda. If g∈Ag \in \mathscr{A} then λ(g∣K)=g(x)\lambda(g|K) = g(x). Therefore λ(f‾∣K)=f‾(x)\lambda(\overline{f}|K) = \overline{f}(x) (§ 4, No. 4, Cor. 2 of Prop. 5). Thus λ(f∣K)=f‾(x)\lambda(f|K) = \overline{f}(x), and one sees similarly that λ′(f∣K)=f‾(x)\lambda'(f|K) = \overline{f}(x).

Corollary

Let E be a Hausdorff locally convex space, C a proper convex cone with vertex 0 in E, admitting a compact sole M, and let G be the union of the extremal generators of C. Let x∈Mx \in M. If C is lattice-ordered, then there exists at most one positive measure λ\lambda of mass 1 on M, such that λ∗(M−(G∩M))=0\lambda^*(M - (G \cap M)) = 0, and admitting x as barycenter.

Replacing the topology of E by the weakened topology (which does not change the topology of M), one can suppose E to be a weak space. Let λ\lambda and λ′\lambda' be two measures on M having the stated properties, and let h be a continuous linear form on E such that M is the intersection of C and the hyperplane with equation h(x)=1h(x) = 1. Let S\mathscr{S} be the subset of C(M)\mathscr{C}(M) consisting of the restrictions to M of the positively homogeneous and continuous convex functions ≥0\geq 0 on C. The cone C is weakly complete (TVS, II, §7, No. 3). By Th. 3, λ(f)=λ′(f)\lambda(f) = \lambda'(f) for every f∈Sf \in \mathscr{S}.

If f1,f2,f3,f4f_1, f_2, f_3, f_4 belong to S\mathscr{S}, then

sup⁡(f1−f2,f3−f4)=sup⁡(f1+f4,f3+f2)−(f2+f4)∈S−Sinf⁡(f1−f2,f3−f4)=−sup⁡(f2−f1,f4−f3)∈S−S. \begin{align*} \sup(f_1 - f_2, f_3 - f_4) &= \sup(f_1 + f_4, f_3 + f_2) - (f_2 + f_4) \in \mathscr{S} - \mathscr{S} \\ \inf(f_1 - f_2, f_3 - f_4) &= -\sup(f_2 - f_1, f_4 - f_3) \in \mathscr{S} - \mathscr{S}. \end{align*}
Since h∣M∈Sh|M \in \mathscr{S}, S−S\mathscr{S} - \mathscr{S} contains the constant functions. If x and y are two distinct points of M, there exists a continuous linear form on E that separates x and y, and this form is the difference of two continuous linear forms that are positive on C (TVS, II, §6, No. 8, Lemma 1). It follows from the foregoing that for α,β\alpha, \beta real, there exists f∈S−Sf \in \mathscr{S} - \mathscr{S} such that f(x)=α,f(y)=βf(x) = \alpha, f(y) = \beta. Then S−S\mathscr{S} - \mathscr{S} is dense in C(M)\mathscr{C}(M) for the topology of uniform convergence (GT, X, §4, No. 1, Cor. of Prop. 2). Since λ\lambda and λ′\lambda' coincide on S−S\mathscr{S} - \mathscr{S}, we have λ=λ′\lambda = \lambda'.

Exercises

Exercises

See the exercises for § 7.

Transcribed from the printed volume. Not translated.