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POSITIVE OPERATORS

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1.2. Extensions of Positive Operators 29<br />

Theorem 1.32 (Kantorovich). Let E and F be two ordered vector spaces<br />

with F a Dedekind complete Riesz space. If G is a majorizing vector subspace<br />

of E and T : G → F is a positive operator, then T has a positive linear<br />

extension to all of E.<br />

Proof. Fix x ∈ E and let y ∈ G satisfy x ≤ y. SinceG is majorizing there<br />

exists a vector u ∈ G with u ≤ x. Hence, u ≤ y and the positivity of T<br />

implies T (u) ≤ T (y) for all y ∈ G with x ≤ y. In particular, it follows that<br />

inf T (y): y ∈ G and x ≤ y exists in F for each x ∈ E. Thus, a mapping<br />

p: E → F can be defined via the formula<br />

p(x) =inf T (y): y ∈ G and x ≤ y .<br />

Clearly, T (x) =p(x) holds for each x ∈ G and an easy argument shows that<br />

p is also sublinear.<br />

Now, by the Hahn–Banach Extension Theorem 1.25, the operator T has<br />

a linear extension S to all of E satisfying S(z) ≤ p(z) foreachz ∈ E. If<br />

z ∈ E + , then −z ≤ 0, and so from<br />

−S(z) =S(−z) ≤ p(−z) ≤ T (0) = 0 ,<br />

we see that S(z) ≥ 0. This shows that S is a positive linear extension of T<br />

to all of E.<br />

It is a remarkable fact that in case the domain of a positive operator T<br />

is a majorizing vector subspace, then the convex set E(T ) is not merely nonempty<br />

but it also has extreme points. This result is due to Z. Lipecki [115].<br />

Theorem 1.33 (Lipecki). Let E and F be two Riesz spaces with F Dedekind<br />

complete. If G is a majorizing vector subspace of E and T : G → F is a<br />

positive operator, then the nonempty convex set E(T ) has an extreme point.<br />

Proof. According to Theorem 1.31 we must establish the existence of some<br />

S ∈E(T ) satisfying<br />

for all x ∈ E.<br />

inf S |x − y| : y ∈ G =0<br />

Start by considering pairs (H, S) where H is a vector subspace majorizing<br />

E and S : H → F is a positive operator. For every such pair (H, S)<br />

define p H,S : E → F by<br />

p H,S (x) =inf S(y): y ∈ H and x ≤ y .<br />

It should be clear that p H,S is a sublinear mapping satisfying p H,S (y) =S(y)<br />

for every y ∈ H. In addition, if (H1,S1) and(H2,S2) satisfyH1 ⊆ H2 and<br />

S2 = S1 on H1, then p H2 ,S 2 (x) ≤ p H1 ,S 1 (x) holds for all x ∈ E.<br />

Now let C be the collection of all pairs (H, S) such that:

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