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v2009.01.01 - Convex Optimization

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2.13. DUAL CONE & GENERALIZED INEQUALITY 149<br />

K is proper if and only if K ∗ is proper.<br />

K is polyhedral if and only if K ∗ is polyhedral. [286,2.8]<br />

K is simplicial if and only if K ∗ is simplicial. (2.13.9.2) A simplicial<br />

cone and its dual are proper polyhedral cones (Figure 56, Figure 47),<br />

but not the converse.<br />

K ⊞ −K ∗ = R n ⇔ K is closed and convex. (1900) (p.708)<br />

Any direction in a proper cone K is normal to a hyperplane separating<br />

K from −K ∗ .<br />

2.13.1.2 Examples of dual cone<br />

When K is R n , K ∗ is the point at the origin, and vice versa.<br />

When K is a subspace, K ∗ is its orthogonal complement, and vice versa.<br />

(E.9.2.1, Figure 52)<br />

When cone K is a halfspace in R n with n > 0 (Figure 50 for example),<br />

the dual cone K ∗ is a ray (base 0) belonging to that halfspace but orthogonal<br />

to its bounding hyperplane (that contains the origin), and vice versa.<br />

When convex cone K is a closed halfplane in R 3 (Figure 53), it is neither<br />

pointed or of nonempty interior; hence, the dual cone K ∗ can be neither of<br />

nonempty interior or pointed.<br />

When K is any particular orthant in R n , the dual cone is identical; id est,<br />

K = K ∗ .<br />

When K is any quadrant in subspace R 2 , K ∗ is a wedge-shaped polyhedral<br />

cone in R 3 ; e.g., for K equal to quadrant I , K ∗ =<br />

[<br />

R<br />

2<br />

+<br />

R<br />

When K is a polyhedral flavor of the Lorentz cone K l (260), the dual is<br />

the proper polyhedral cone K q : for l=1 or ∞<br />

K q = K ∗ l =<br />

{[ x<br />

t<br />

]<br />

.<br />

]<br />

}<br />

∈ R n × R | ‖x‖ q ≤ t<br />

(286)<br />

where ‖x‖ q is the dual norm determined via solution to 1/l + 1/q = 1.

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