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v2009.01.01 - Convex Optimization

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6.8. DUAL EDM CONE 477<br />

When the Finsler criterion (1150) is applied despite lower affine<br />

dimension, the constant κ can go to infinity making the test −D+κ11 T ≽ 0<br />

impractical for numerical computation. Chabrillac & Crouzeix invent a<br />

criterion for the semidefinite case, but is no more practical: for D ∈ S N h<br />

D ∈ EDM N<br />

⇔<br />

(1151)<br />

∃κ p >0 ∀κ≥κ p , −D − κ11 T [sic] has exactly one negative eigenvalue<br />

6.8 Dual EDM cone<br />

6.8.1 Ambient S N<br />

We consider finding the ordinary dual EDM cone in ambient space S N where<br />

EDM N is pointed, closed, convex, but has empty interior. The set of all EDMs<br />

in S N is a closed convex cone because it is the intersection of halfspaces about<br />

the origin in vectorized variable D (2.4.1.1.1,2.7.2):<br />

EDM N = ⋂ {<br />

D ∈ S N | 〈e i e T i , D〉 ≥ 0, 〈e i e T i , D〉 ≤ 0, 〈zz T , −D〉 ≥ 0 }<br />

z∈ N(1 T )<br />

i=1...N<br />

(1152)<br />

By definition (270), dual cone K ∗<br />

comprises each and every vector<br />

inward-normal to a hyperplane supporting convex cone K (2.4.2.6.1) or<br />

bounding a halfspace containing K . The dual EDM cone in the ambient<br />

space of symmetric matrices is therefore expressible as the aggregate of every<br />

conic combination of inward-normals from (1152):<br />

EDM N∗ = cone{e i e T i , −e j e T j | i, j =1... N } − cone{zz T | 11 T zz T =0}<br />

∑<br />

= { N ∑<br />

ζ i e i e T i − N ξ j e j e T j | ζ i ,ξ j ≥ 0} − cone{zz T | 11 T zz T =0}<br />

i=1<br />

j=1<br />

= {δ(u) | u∈ R N } − cone { V N υυ T V T N | υ ∈ RN−1 , (‖v‖= 1) } ⊂ S N<br />

= {δ 2 (Y ) − V N ΨV T N | Y ∈ SN , Ψ∈ S N−1<br />

+ } (1153)<br />

The EDM cone is not self-dual in ambient S N because its affine hull belongs<br />

to a proper subspace<br />

aff EDM N = S N h (1154)

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