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v2009.01.01 - Convex Optimization

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154 CHAPTER 2. CONVEX GEOMETRY<br />

2.13.2.1 Null certificate, Theorem of the alternative<br />

If in particular x p /∈ K a closed convex cone, then the construction<br />

in Figure 48(b) suggests there exists a supporting hyperplane (having<br />

inward-normal belonging to dual cone K ∗ ) separating x p from K ; indeed,<br />

(288)<br />

x p /∈ K ⇔ ∃ y ∈ K ∗ 〈y , x p 〉 < 0 (303)<br />

The existence of any one such y is a certificate of null membership. From a<br />

different perspective,<br />

x p ∈ K<br />

or in the alternative<br />

∃ y ∈ K ∗ 〈y , x p 〉 < 0<br />

(304)<br />

By alternative is meant: these two systems are incompatible; one system is<br />

feasible while the other is not.<br />

2.13.2.1.1 Example. Theorem of the alternative for linear inequality.<br />

Myriad alternative systems of linear inequality can be explained in terms of<br />

pointed closed convex cones and their duals.<br />

Beginning from the simplest Cartesian dual generalized inequalities (289)<br />

(with respect to the nonnegative orthant R m + ),<br />

y ≽ 0 ⇔ x T y ≥ 0 for all x ≽ 0 (305)<br />

Given A∈ R n×m , we make vector substitution y ← A T y<br />

A T y ≽ 0 ⇔ x T A T y ≥ 0 for all x ≽ 0 (306)<br />

Introducing a new vector by calculating b ∆ = Ax we get<br />

A T y ≽ 0 ⇔ b T y ≥ 0, b = Ax for all x ≽ 0 (307)<br />

By complementing sense of the scalar inequality:<br />

A T y ≽ 0<br />

or in the alternative<br />

b T y < 0, ∃ b = Ax, x ≽ 0<br />

(308)

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