v2010.10.26 - Convex Optimization

v2010.10.26 - Convex Optimization v2010.10.26 - Convex Optimization

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586 CHAPTER 7. PROXIMITY PROBLEMSProof. We justify disappearance of the hollowness constraint inconvex optimization problem (1408a): From the arguments in7.1.3with regard ⎡ to⎤π the permutation operator, cone membership constraintδ(Υ) ∈⎣ Rρ+1 +0 ⎦∩ ∂H from (1408a) is equivalent toR −⎡δ(Υ) ∈ ⎣ Rρ+1 +0R −⎤⎦ ∩ ∂H ∩ K M (1409)where K M is the monotone cone (2.13.9.4.3). Membership of δ(Υ) to thepolyhedral cone of majorization (Theorem A.1.2.0.1)K ∗ λδ = ∂H ∩ K ∗ M+ (1426)where K ∗ M+ is the dual monotone nonnegative cone (2.13.9.4.2), is acondition (in absence of a hollowness [ constraint) ] that would insure existence0 1Tof a symmetric hollow matrix . Curiously, intersection of1 −D⎡ ⎤this feasible superset ⎣ Rρ+1 +0 ⎦∩ ∂H ∩ K M from (1409) with the cone ofmajorization K ∗ λδR −is a benign operation; id est,∂H ∩ K ∗ M+ ∩ K M = ∂H ∩ K M (1410)verifiable by observing conic dependencies (2.10.3) among the aggregate ofhalfspace-description normals. The cone membership constraint in (1408a)therefore inherently insures existence of a symmetric hollow matrix.

7.3. THIRD PREVALENT PROBLEM: 587Optimization (1408b) would be a Procrustes problem (C.4) were itnot for the hollowness constraint; it is, instead, a minimization over theintersection of the nonconvex manifold of orthogonal matrices with anothernonconvex set in variable R specified by the hollowness constraint.We solve problem (1408b) by a method introduced in4.6.0.0.2: DefineR = [r 1 · · · r N+1 ]∈ R N+1×N+1 and make the assignment⎡G = ⎢⎣r 1.r N+11⎤[ r1 T · · · rN+1 T 1] ⎥∈ S (N+1)2 +1⎦⎡⎤ ⎡R 11 · · · R 1,N+1 r 1.....= ⎢⎣ R1,N+1 T ⎥R N+1,N+1 r N+1 ⎦ ⎢⎣r1 T · · · rN+1 T 1(1411)⎤r 1 r1 T · · · r 1 rN+1 T r 1.....r N+1 r1 T r N+1 rN+1 T ⎥r N+1 ⎦r1 T · · · rN+1 T 1where R ij r i rj T ∈ R N+1×N+1 and Υ ⋆ ii ∈ R . Since R Υ ⋆ R T = N+1 ∑ΥiiR ⋆ ii thenproblem (1408b) is equivalently expressed:∥ ∥∥∥ N+12∑minimize Υ ⋆R ii ∈S , R ij , r iiiR ii − Λ∥i=1Fsubject to trR ii = 1, i=1... N+1trR ij ⎡= 0,⎤i

586 CHAPTER 7. PROXIMITY PROBLEMSProof. We justify disappearance of the hollowness constraint inconvex optimization problem (1408a): From the arguments in7.1.3with regard ⎡ to⎤π the permutation operator, cone membership constraintδ(Υ) ∈⎣ Rρ+1 +0 ⎦∩ ∂H from (1408a) is equivalent toR −⎡δ(Υ) ∈ ⎣ Rρ+1 +0R −⎤⎦ ∩ ∂H ∩ K M (1409)where K M is the monotone cone (2.13.9.4.3). Membership of δ(Υ) to thepolyhedral cone of majorization (Theorem A.1.2.0.1)K ∗ λδ = ∂H ∩ K ∗ M+ (1426)where K ∗ M+ is the dual monotone nonnegative cone (2.13.9.4.2), is acondition (in absence of a hollowness [ constraint) ] that would insure existence0 1Tof a symmetric hollow matrix . Curiously, intersection of1 −D⎡ ⎤this feasible superset ⎣ Rρ+1 +0 ⎦∩ ∂H ∩ K M from (1409) with the cone ofmajorization K ∗ λδR −is a benign operation; id est,∂H ∩ K ∗ M+ ∩ K M = ∂H ∩ K M (1410)verifiable by observing conic dependencies (2.10.3) among the aggregate ofhalfspace-description normals. The cone membership constraint in (1408a)therefore inherently insures existence of a symmetric hollow matrix.

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