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v2009.01.01 - Convex Optimization

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5.6. INJECTIVITY OF D & UNIQUE RECONSTRUCTION 387<br />

5.6 Injectivity of D & unique reconstruction<br />

Injectivity implies uniqueness of isometric reconstruction; hence, we endeavor<br />

to demonstrate it.<br />

EDM operators list-form D(X) (798), Gram-form D(G) (810), and<br />

inner-product form D(Θ) (863) are many-to-one surjections (5.5) onto the<br />

same range; the EDM cone (6): (confer (811) (900))<br />

EDM N = { D(X) : R N−1×N → S N h | X ∈ R N−1×N}<br />

= { }<br />

D(G) : S N → S N h | G ∈ S N + − S N⊥<br />

c<br />

= { (894)<br />

D(Θ) : R N−1×N−1 → S N h | Θ ∈ R N−1×N−1}<br />

where (5.5.1.1)<br />

S N⊥<br />

c = {u1 T + 1u T | u∈ R N } ⊆ S N (1876)<br />

5.6.1 Gram-form bijectivity<br />

Because linear Gram-form EDM operator<br />

D(G) = δ(G)1 T + 1δ(G) T − 2G (810)<br />

has no nullspace [75,A.1] on the geometric center subspace 5.24 (E.7.2.0.2)<br />

S N c<br />

∆<br />

= {G∈ S N | G1 = 0} (1874)<br />

= {G∈ S N | N(G) ⊇ 1} = {G∈ S N | R(G) ⊆ N(1 T )}<br />

= {V Y V | Y ∈ S N } ⊂ S N (1875)<br />

≡ {V N AV T N | A ∈ SN−1 }<br />

(895)<br />

then D(G) on that subspace is injective.<br />

5.24 The equivalence ≡ in (895) follows from the fact: Given B = V Y V = V N AVN T ∈ SN c<br />

with only matrix A∈ S N−1 unknown, then V † †T<br />

NBV N = A or V † N Y V †T<br />

N = A.

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