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v2009.01.01 - Convex Optimization

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E.5. PROJECTION EXAMPLES 657<br />

a ∗ 2<br />

K ∗<br />

a 2<br />

a ∗ 1<br />

z<br />

x<br />

K<br />

0<br />

y<br />

a 1<br />

a 1 ⊥ a ∗ 2<br />

a 2 ⊥ a ∗ 1<br />

x = y + z = P a1 x + P a2 x<br />

K ∗<br />

Figure 139: (confer Figure 55) Biorthogonal expansion of point x∈aff K is<br />

found by projecting x nonorthogonally on extreme directions of polyhedral<br />

cone K ⊂ R 2 . (Dotted lines of projection bound this translated negated cone.)<br />

Direction of projection on extreme direction a 1 is orthogonal to extreme<br />

direction a ∗ 1 of dual cone K ∗ and parallel to a 2 (E.3.5); similarly, direction<br />

of projection on a 2 is orthogonal to a ∗ 2 and parallel to a 1 . Point x is<br />

sum of nonorthogonal projections: x on R(a 1 ) and x on R(a 2 ). Expansion<br />

is unique because extreme directions of K are linearly independent. Were<br />

a 1 orthogonal to a 2 , then K would be identical to K ∗ and nonorthogonal<br />

projections would become orthogonal.

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