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Gruber P. Convex and Discrete Geometry

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220 <strong>Convex</strong> Bodies<br />

λC + x<br />

νC + z<br />

µC + y<br />

Fig. 12.1. Choquet simplex<br />

w ∈ C ∩ (C − λp) = (1 − λ)C, (see (1)) <strong>and</strong> w = (1 − λ)x, we have that x ∈ C.<br />

Thus (cone C) ∩ K − ⊆ C. The proof of (2) is complete.<br />

For each vector x parallel to the hyperplane K <strong>and</strong> such that F ∩ (F + x) �= ∅,<br />

the set F ∩ (F + x) is a face of C ∩ (C + x), <strong>and</strong> C ∩ (C + x) is homothetic to<br />

C by (iii). Hence F ∩ (F + x) is homothetic to F. The induction hypothesis then<br />

shows that F is a simplex. Since o �∈ K , Proposition (2) finally implies that C is also<br />

a simplex, concluding the proof of (i). ⊓⊔<br />

Remark. A compact convex set C in an infinite-dimensional topological vector<br />

space which satisfies property (iii) is called a Choquet simplex (see Fig. 12.1).<br />

Choquet simplices are basic in Choquet theory <strong>and</strong> thus in measure theory in infinite<br />

dimensions.<br />

Topological Vector Lattices in Finite Dimensions<br />

Let V be a real vector space <strong>and</strong> � a(partial) ordering of V in the following sense:<br />

x � x for x ∈ V<br />

x � y, y � x ⇒ x = y for x, y ∈ V<br />

x � y, y � z ⇒ x � z for x, y, z ∈ V<br />

〈V, �〉 is an ordered vector space if, in addition, the ordering is compatible with the<br />

operations in V , i.e.<br />

x � y ⇒ x + z � y + z for x, y, z ∈ V<br />

x � y ⇒ λx � λy for x, y ∈ V, λ≥ 0<br />

Then K ={x ∈ V : o � x} is a convex cone with apex o such that K ∩ (−K ) =<br />

{o}, that is, K is pointed. K is called the positive cone (see Fig. 12.2) of 〈V, �〉.<br />

Conversely, if K is a pointed convex cone in V with apex o, then the definition<br />

(3) x � y if y − x ∈ K or, equivalently, y ∈ K + x for x, y ∈ V<br />

makes V into an ordered vector space with positive cone K . The ordered vector space<br />

〈V, �〉 is a vector lattice, if for any x, y ∈ V there is a greatest lower bound x ∧ y<br />

<strong>and</strong> a smallest upper bound x ∨ y of the set {x, y} in V , that is,

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