REVIEW 2 major objections 1 minor 2 cited by
On the saturated cases of the distillability conjecture
T0 review · 2 major / 1 minor · reviewed 2026-06-28 · grok-4.3
Pith's one-line read Equality in the distillability conjecture for two-copy four-by-four Werner states forces matrices A and B to be two-by-two block-diagonal.
desk verdict The paper unifies known saturation cases for the distillability conjecture under a 2x2 block-diagonal condition on A and B, with analytic reductions of prior results plus numerical checks that stop short of a full proof. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
Reduction of equality cases in the conjectured inequality to the two-by-two block-diagonal form of matrices A and B, together with manifold optimization that locates the saturation points.
What would settle it
Finding a pair of matrices A and B that are not two-by-two block-diagonal yet still achieve equality in the distillability inequality, or locating additional critical points on the manifold outside this structure.
Extended reading notes
Core claim
For all known cases where the distillability conjecture has been verified, equality forces the matrices A and B to be two-by-two block-diagonal. In particular, several previously obtained partial results, including the cases of one normal matrix, unitary similarity between B and -A or -A^T, and anti-diagonal block structures, are reduced to this common block-diagonal structure. Manifold optimization provides numerical evidence that the two-by-two block-diagonal structure is essential for saturating the inequality, and the identified saturation points are critical points of the objective function on the constraint manifold.
Load-bearing premise
The numerical manifold optimization and analytic reductions are assumed to cover the relevant saturation cases without missing other structures that could achieve equality outside the block-diagonal form.
Editorial extensions
If this is right
- All previously verified saturation cases of the conjecture share the two-by-two block-diagonal structure.
- Partial results on normal matrices, unitary similarities, and anti-diagonal blocks reduce to the same block-diagonal form.
- The saturation points identified are critical points of the objective function on the constraint manifold.
- Numerical optimization indicates that non-block-diagonal structures do not saturate the inequality.
Reading between the lines
- If the block-diagonal form is the only saturation structure, further analytic work on the conjecture can restrict attention to this reduced case.
- The common structure may allow a single proof technique to cover multiple previously separate partial results.
- Manifold optimization could be applied to saturation analysis of related quantum inequalities involving Werner or isotropic states.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper examines saturation conditions for the distillability conjecture on two-copy 4x4 Werner states. It analytically reduces all previously verified cases (including one normal matrix, unitary similarity between B and -A or -A^T, and anti-diagonal blocks) to the requirement that A and B are 2x2 block-diagonal. Manifold optimization supplies numerical evidence that this block-diagonal form is essential for equality, and the identified points are shown to be critical points of the objective on the constraint manifold.
Significance. If the analytic reductions and numerical findings hold, the work unifies disparate partial results under a single structural condition, narrowing the search space for potential counterexamples or proofs of the conjecture. The explicit reduction of multiple known cases to block-diagonality and the proof that saturation points are critical are concrete contributions; the numerical component, while supportive, is secondary.
major comments (2)
- [Manifold optimization section] Manifold optimization section: the claim that the search provides evidence that the two-by-two block-diagonal structure is essential rests on an implicit completeness assumption. No information is given on the number or distribution of random initializations, the dimension of the product manifold (Stiefel or unitary), or any guarantee that non-block-diagonal critical points would have been detected if they existed.
- [Introduction / analytic reductions] The analytic reductions are stated to cover 'all known cases where the conjecture has been verified,' but the manuscript does not list the precise set of prior results being unified or the explicit mapping from each case to the block-diagonal form; without this enumeration the scope of the unification cannot be assessed.
minor comments (1)
- Notation for the constraint manifold and the objective function should be introduced once with a single equation reference rather than re-defined in multiple sections.
Simulated Author's Rebuttal
We thank the referee for the thoughtful and constructive report. We address each major comment below and will revise the manuscript to incorporate the suggested clarifications.
read point-by-point responses
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Referee: [Manifold optimization section] Manifold optimization section: the claim that the search provides evidence that the two-by-two block-diagonal structure is essential rests on an implicit completeness assumption. No information is given on the number or distribution of random initializations, the dimension of the product manifold (Stiefel or unitary), or any guarantee that non-block-diagonal critical points would have been detected if they existed.
Authors: We agree that the numerical section requires additional methodological details to support the claim. In the revision we will report the number of random initializations performed, the sampling distribution on the product manifold (Stiefel or unitary group), the manifold dimensions, and an explicit discussion of the method's limitations, including the absence of a rigorous completeness guarantee. We will also temper the language to present the results as supportive numerical evidence rather than conclusive proof of essentiality. revision: yes
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Referee: [Introduction / analytic reductions] The analytic reductions are stated to cover 'all known cases where the conjecture has been verified,' but the manuscript does not list the precise set of prior results being unified or the explicit mapping from each case to the block-diagonal form; without this enumeration the scope of the unification cannot be assessed.
Authors: We accept that an explicit enumeration is needed for clarity. The revised manuscript will add a short subsection (or table) in the introduction that lists the specific prior results being unified—namely the cases of one normal matrix, unitary similarity between B and −A or −A^T, and anti-diagonal block structures—and provides the explicit reduction steps showing how each case forces A and B to be 2×2 block-diagonal. This will make the scope of the unification transparent. revision: yes
Circularity Check
No significant circularity; derivation independent of inputs
full rationale
The paper analytically reduces known saturation cases to the two-by-two block-diagonal form for A and B by direct manipulation of the conjectured inequality, without presupposing that structure. Manifold optimization is used only for numerical evidence that the structure is essential, not as a definitional fit or self-referential prediction. No load-bearing self-citations, ansatzes smuggled via prior work, or renaming of known results appear in the provided text. The central claim remains a derived characterization rather than a tautology or fitted input renamed as output.
Assumptions & free parameters
Cite this review
Pith. "Pith review of On the saturated cases of the distillability conjecture." pith.science (2026). https://pith.science/paper/INGOHHCF
@misc{pith2026260603561,
author = {Pith},
title = {Pith review of: On the saturated cases of the distillability conjecture},
year = {2026},
howpublished = {\url{https://pith.science/paper/INGOHHCF}},
note = {Machine review of arXiv:2606.03561}
}
abstract
The distillability conjecture for two-copy four-by-four Werner states has been an open problem in quantum information for years. We investigate the conditions under which the conjectured inequality becomes an equality. For all known cases where the conjecture has been verified, we characterize the saturation conditions and show that equality forces the matrices $A$ and $B$ to be two-by-two block-diagonal. In particular, several previously obtained partial results, including the cases of one normal matrix, unitary similarity between $B$ and $-A$ or $-A^T$, and anti-diagonal block structures, are reduced to this common block-diagonal structure. We also employ a manifold optimization method, which provides numerical evidence that the two-by-two block-diagonal structure is essential for saturating the inequality. Furthermore, we prove that the identified saturation points are critical points of the objective function on the constraint manifold.
Forward citations
Cited by 2 Pith papers
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A solution to 2-copy distillability of Werner states
Werner states are 2-copy distillable if and only if they are 1-copy distillable, for every local dimension.
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Two-copy nondistillability of Werner states: sharp partial-trace inequalities and finite-copy extensions
Werner states ρ_α are two-copy distillable if and only if α < −1/2, via a sharp dimension-free rank-two partial-trace inequality.
Reference graph
Works this paper leans on
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[1]
A and B are normal. [ 14]
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[2]
A or B is normal. [ 15]
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[3]
A and B are 2 2 block-diagonal. [ 16]
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[4]
B is unitarily similar to A or A⊤. [ 16]
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[5]
[ 17] Definition 3
Two 2 2 diagonal blocks of both A and B are zero. [ 17] Definition 3. The Ky-Fan 2 2 norm is defined as follows: k k(2),2 : X 7! σ2 1(X) + σ2 2(X). Lemma 4. [19] Let X, Y 2 M2(C). Then XY Y X ⊤ F p 2kXkF kY kF . (5) Moreover, equality holds if and only if there exists a unitary U 2 M2 such that U ∗XU = x11 x12 0 x11 U ∗Y ¯U = 0 y12 y21 y22 (6) where ¯x12 ...
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[6]
There exists a unitary U 2 Mn such that U ∗XU = X11 X22 and U ∗Y ¯U = Y11 0, (8) where X11, Y11 2 M2 satisfy the equality condition in Lemma 4. 3
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[7]
(10) Lemma 6
There exists a unitary U 2 Mn such that U ∗XU = X11 X22 and U ∗Y ¯U = Y11 0, (9) where X11, Y11 2 Mr(r 3), X11 = σ1(X)W where W is unitary, and X11Y11 + Y11X ⊤ 11 = 0. (10) Lemma 6. If there exists ( ˜A, ˜B) such that σ2 1( ˜X) + σ2 2( ˜X) > 1 2 , then there exists ( ˜A′, ˜B′) such that σ2 1( ˜X ′) + σ2 2( ˜X ′) = 1 2 + ϵ, where ϵ is arbitrarily small, an...
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[8]
Inequality (4) is saturated if and only if rank A = 1
Let X = A I4 in Conjecture 1. Inequality (4) is saturated if and only if rank A = 1
Show all 68 references
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[9]
Inequality (4) is saturated if and only if rank B = 1
Let X = I4 B in Conjecture 1. Inequality (4) is saturated if and only if rank B = 1
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[10]
Let X = A I4 + I4 B with A = diag (a1, a2, a3, a4) , B = diag (b1, b2, b3, b4) in Conjecture 1. Inequality (4) is saturated if and only if A and B satisfy one of the following two statements (the case where A or B is zero is excluded), (a) A = B = eiϕ diag 1 4 , 1 4 , 0, 0 , ϕ...
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[11]
Let A and B be 2 2 block-diagonal matrices (the case where A or B are zero is excluded). Inequality (4) is saturated if and only if one of the following conditions is satisfied, (a) A = 2 64 0 a12 0 0 a21 0 0 0 0 0 0 0 0 0 0 0 3 75 , B = 2 64 0 b12 0 0 b21 0 0 0 0 0 0 0 0 0 0 ...
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[12]
The saturated case where either A or B is normal is reduced to Case 4
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[13]
The saturated case where B is unitarily similar to A or A⊤ is reduced to Case 4
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[14]
4 Part 1, 2, 3, 4, 5, and 7 of the theorem are respectively supported by Lemma 8, 9, 10, 11, 12, and 15
The saturated case where A = 0 A1 A2 0 , B = 0 B1 B2 0 , (11) and A1, A2, B1, B2 2 M2(C) is reduced to Case 4. 4 Part 1, 2, 3, 4, 5, and 7 of the theorem are respectively supported by Lemma 8, 9, 10, 11, 12, and 15. Part 6 is supported by Lemma 13 and 14. Lemma 8. Let X = A I4...
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[16]
A = eiϕ diag 3 8 , 1 8 , 1 8 , 1 8 , B = eiϕ diag 1 8 , 1 8 , 1 8 , 1 8 , ϕ 2 R. Proof. We show the proof in Appendix A. Lemma 11. Let A and B be 2 2 block-diagonal matrices in Conjecture 1 (the case where A or B is zero is excluded). Then σ2 1(X) + σ2 2(X) = 1 2 if and only i...
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[17]
According to equation (53c) of [ 15], σ2 1(X) + σ2 2(X) = 1 2 only if A and B are both normal
Consider the case where A and B are real, σ2 1(X) and σ2 2(X) are from the same 4 by 4 block of X. According to equation (53c) of [ 15], σ2 1(X) + σ2 2(X) = 1 2 only if A and B are both normal
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[18]
According to Lemmas 18 and 19 of [ 15], σ2 1(X) + σ2 2(X) = 1 2 only if A is normal and B is 2 2 block-diagonal
Consider the case where A and B are real, σ2 1(X) and σ2 2(X) are from different 4 by 4 blocks of X. According to Lemmas 18 and 19 of [ 15], σ2 1(X) + σ2 2(X) = 1 2 only if A is normal and B is 2 2 block-diagonal
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[19]
Consider the case where A and B are complex. According to equation (93) of [ 15], let X = A I + I B, X1 2 M16(R) and X2 2 M16(R) be its real and imaginary parts, we have σ2 1(X) + σ2 2(X) σ2 1 (X1) + σ2 2 (X1) + σ2 1 (X2) + σ2 2 (X2) . (13) According to the three assertions ab...
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[20]
X and Y are simultaneously unitarily similar to matrices in M2 0
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[21]
From these conditions the conclusion follows
Tr(X ∗Y ) = 0 . From these conditions the conclusion follows. Lemma 14. Let A and B be unitarily similar matrices in Conjecture 1. Then σ2 1(X) + σ2 2(X) = 1 2 implies that they satisfy the conditions in Lemma 11. Proof. Similar to the proof of previous lemma, we have σ1(X)2 +...
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[22]
There exists a unitary W 2 M4 such that W ∗AW = E11 E22 and W ∗U ∗Vi ¯W = F11 0 i = 1, 2, (18) where E11, F11 2 M2 satisfy the equality condition in Lemma 4
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[23]
We can see that in the first case, A is necessarily 2 2 block-diagonal, and so is B
There exists a unitary W 2 M4 such that W ∗AW = E11 E22 and W ∗U ∗Vi ¯W = F11 0 i = 1, 2, (19) where E11, F11 2 Mr(r 3), E11 = σ1(A)Z where Z is unitary, E11F11 + F11E⊤ 11 = 0, (20) and rank A 2. We can see that in the first case, A is necessarily 2 2 block-diagonal, and so is...
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[24]
A = B = eiϕ diag 1 4 , 1 4 , 0, 0 , ϕ 2 R
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[25]
Lemma 21
A = eiϕ diag 3 8 , 1 8 , 1 8 , 1 8 , B = eiϕ diag 1 8 , 1 8 , 1 8 , 1 8 , ϕ 2 R. Lemma 21. The following two cases in Lemma 11 are critical points on X = f(A, B) 2 M4(C) M4(C)j TrA = TrB = 0, kAk2 F + kBk2 F = 1 4 g,
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[27]
A = 2 64 a 0 0 0 0 a 0 0 0 0 a 0 0 0 0 a 3 75 , B = 2 64 a b 12 0 0 b21 a 0 0 0 0 a 0 0 0 0 a 3 75, and b12b21 = 4a2. Proof. We denote the subgroup I2 U (2) of unitary group U (4) by G, and M2(C) CI2 \ X by ΣG, every element in ΣG is invariant under similarity transformations ...
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[28]
(29) • The 16-dimensional vector formed by the singular values of matrix X: [0.5, 0.5, 0.3355, 0.3355, 0.2821, 0.2821, 0.1841, 0.1841, 0.1548, 0.1548, 0, , 0]
The first pair • Matrices A and B: A = 2 64 0 0 .0002 0 0.1239 0.0001 0 0 .0003 0.0046 0 0 .0006 0 0.3117 0.0572 0.0021 0.1439 0 3 75 , (28) B = 2 64 0 0 0.1379 0.0948 0 0 0 .0632 0 .0435 0.2113 0 .0969 0 0 0.1453 0 .0667 0 0 3 75 . (29) • The 16-dimensional vector formed by t...
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[29]
(31) • The 16-dimensional vector formed by the singular values of matrix X: [0.5, 0.5, 0.4251, 0.4251, 0.2632, 0.2632, 0.0044, 0.0044, 0.0027, 0.0027, 0, , 0]
The second pair 8 • Matrices A and B: A = 2 64 0 0 0.0932 0 0 0 0 .1866 0 0.0006 0.0012 0 0 .0024 0 0 0.3704 0 3 75 , (30) B = 2 64 0 0.002 0 0 0.1181 0 0 .1335 0.1937 0 0.0022 0 0 0 0 .0032 0 0 3 75 . (31) • The 16-dimensional vector formed by the singular values of matrix X:...
1937
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[30]
(33) • The 16-dimensional vector formed by the singular values of matrix X: [0.5, 0.5, 0.3996, 0.3996, 0.2003, 0.2003, 0.2003, 0.2003, 0.1004, 0.1004, 0, , 0]
The third pair • Matrices A and B: A = 2 64 0 0 0 .3911 0.0554 0 0 0 .0599 0.0085 0.0982 0.0151 0 0 0.0139 0 .0021 0 0 3 75 , (32) B = 2 64 0 0.0729 0 .1262 0 .0861 0.0729 0 0.0004 0 .0533 0.1262 0 .0004 0 0.0928 0.0861 0.0533 0 .0928 0 3 75 . (33) • The 16-dimensional vector ...
2003
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[31]
(35) • The 16-dimensional vector formed by the singular values of matrix X: [0.5, 0.5, 0.3586, 0.3586, 0.3001, 0.3001, 0.1358, 0.1358, 0.1137, 0.1137, 0, , 0]
The fourth pair • Matrices A and B: A = 2 64 0 0 0.2686 0 0 0 0.1585 0 0.0851 0.0502 0 0.0561 0 0 0.177 0 3 75 , (34) B = 2 64 0 0.002 0 0.0215 0.0045 0 0 .0277 0 0 0 .0125 0 0 .1335 0.0474 0 0 .295 0 3 75 . (35) • The 16-dimensional vector formed by the singular values of mat...
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[32]
(37) • The 16-dimensional vector formed by the singular values of matrix X: [0.5, 0.5, 0.3172, 0.3172, 0.2408, 0.2408, 0.2408, 0.2408, 0.1828, 0.1828, 0, , 0]
The fifth pair • Matrices A and B: A = 2 64 0 0 .1114 0 .186 0 .0059 0.1114 0 0.0241 0 .0517 0.186 0 .0241 0 0 .0877 0.0059 0.0517 0.0877 0 3 75 , (36) B = 2 64 0 0 0.2695 0 .1174 0 0 0 .1093 0.0476 0.1553 0.063 0 0 0.0676 0 .0274 0 0 3 75 . (37) • The 16-dimensional vector fo...
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[33]
σ2(X) = ja2 + b2j, σ1(X)2 + σ2(X)2 = ja1 + b1j2 + ja2 + b2j2
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[34]
In case 1, we claim that a1 = b1 = a2 = b2, ja1j = jb1j = ja2j = jb2j = 1 4 and b3 = b4 = a3 = a4 = 0
σ2(X) = ja1 + b2j, σ1(X)2 + σ2(X)2 = ja1 + b1j2 + ja1 + b2j2. In case 1, we claim that a1 = b1 = a2 = b2, ja1j = jb1j = ja2j = jb2j = 1 4 and b3 = b4 = a3 = a4 = 0. In fact, let us suppose that σ1(X)2 + σ2(X)2 = ja1 + b1j2 + ja2 + b2j2 reaches the maximum 1 2 . By calculations...
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[35]
(A6) Then equation ( A4) becomes 1 2 jb1 b2j2 + j2a1 + b1 + b2j2 = 1 2 2c2 c2 1 + (2a1 + c1)2 (A7) = 2a2 1 + 2a1c1 + c2. (A8) To determine under what conditions the expression ( A8) reaches its maximum 1 2 , we can use techniques from opti- mization to find out the necessary c...
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[37]
A = 2 64 a 0 0 0 0 a 0 0 0 0 a 0 0 0 0 a 3 75 , B = 2 64 a b 12 0 0 b21 a 0 0 0 0 a 0 0 0 0 a 3 75, and b12b21 = 4a2. Proof. We consider σ1(Y )2 + σ2(Y )2 = σ1(Y11)2 + σ2(Y11)2 kY11k2 F (B9) = 4 jb + aj2 + 2(ja12j2 + ja21j2 + jb12j2 + jb21j2) (B10) 8(jaj2 + jbj2) + 2(ja12j2 + ...
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[38]
a = 0, a12a21 = b12b21
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[39]
a12 = a21 = 0, b12b21 = 4a2
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[40]
We can verify that all of the three cases above saturate the original conjecture
b12 = b21 = 0, a12a21 = 4a2. We can verify that all of the three cases above saturate the original conjecture. In fact, the second and the third one are equivalent by exchanging A and B. Thus, up to unitary similarity, we obtain the following two cases while excluding the case...
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[41]
A = 2 64 0 a12 0 0 a21 0 0 0 0 0 0 0 0 0 0 0 3 75 , B = 2 64 0 b12 0 0 b21 0 0 0 0 0 0 0 0 0 0 0 3 75, and a12a21 = b12b21
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[42]
Z11 (11) Z11 (12) Z11 (12)∗ Z11 (22) # , Z 22 = Y22Y22 ∗ =
A = 2 64 a 0 0 0 0 a 0 0 0 0 a 0 0 0 0 a 3 75 , B = 2 64 a b 12 0 0 b21 a 0 0 0 0 a 0 0 0 0 a 3 75, and b12b21 = 4a2. Secondly , we consider under what condition the inequality is saturated in case ii. Lemma 29. In case ii., the saturation condition is included in case i.. Pro...
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[43]
σ2 1(X) = λ1(H) and σ2 2(X) = λ2(H)
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[44]
σ2 1(X) = λ1(K) and σ2 2(X) = λ2(K)
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[45]
W e first deal with case 1
σ2 1(X) = λ1(H) and σ2 2(X) = λ1(K). W e first deal with case 1. λ1(H) + λ2(H) λ1(H1) + λ2(H1) + λ1(H2) + λ2(H2) (C13) = β2 12 + α2 11 + β2 11 + α2 12 + max β2 12 + α2 21, β2 22 + α2 11 + max β2 11 + α2 22, β2 21 + α2 12 (C14) β2 12 + α2 11 + β2 11 + α2 12 + β2 12 + α2 21 + β2...
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[46]
(C33) The corresponding maximum eigenvector is a1 b2
+ (a1a∗ 1) I2, (C32) 23 Because Bi and Ai are rank-1 matrices, we have: λ1(H1) = ka1k2 F + kb2k2 F . (C33) The corresponding maximum eigenvector is a1 b2. Multiplying by V ∗ 1 yields the maximum eigenvector for H1. Ψ1 = V ∗ 1 (a1 b2) = kb2k2 F a1 e1 ka1k2 F e1 b2 . (C34) Apply...
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