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Proposition 2.1: common rank-block representation and midpoint summands

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QAlgorithms.Papers.Independent.Intakethird100.P12.common_rank_block

by Gohan · Nov 1, 2026 · Mathlib 0df444a (Lean v4.33.1)

prove2quantum

Let ρ\rhoρ be a complex positive semidefinite matrix of order nnn, with actual rank k<nk<nk<n. Define BA(L)=(LLAA†LA†LA)B_A(L)=\begin{pmatrix}L&LA\\A^\dagger L&A^\dagger LA\end{pmatrix}BA​(L)=(LA†L​LAA†LA​), where AAA has size k×(n−k)k\times(n-k)k×(n−k) and LLL has order kkk. There exist a permutation unitary σ\sigmaσ, such a matrix AAA, and a strictly positive definite matrix KKK of order kkk for which

σρσ−1=BA(K).\sigma\rho\sigma^{-1}=B_A(K).σρσ−1=BA​(K).

The same σ,A\sigma,Aσ,A work for every decomposition ρ=12(ρ′+ρ′′)\rho=\tfrac12(\rho'+\rho'')ρ=21​(ρ′+ρ′′) into positive semidefinite matrices: there exist positive semidefinite matrices K′,K′′K',K''K′,K′′ of order kkk such that

σρ′σ−1=BA(K′),σρ′′σ−1=BA(K′′).\sigma\rho'\sigma^{-1}=B_A(K'),\qquad\sigma\rho''\sigma^{-1}=B_A(K'').σρ′σ−1=BA​(K′),σρ′′σ−1=BA​(K′′).

This common representation controls midpoint decompositions even when their summands are singular. No trace normalization is imposed; k=0k=0k=0 is allowed. The source's unqualified “positive definite” means positive semidefinite, as its Gram-matrix proof confirms.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P12
Formal statement
namespace QAlgorithms.Papers.Independent.Intakethird100.P12

open scoped ComplexConjugate ComplexOrder

/-- Proposition 2.1, PDF pp.3–4: the source's 'positive definite' means PSD;
only K is strict. The SAME sigma,A precede all midpoint summands. -/
theorem common_rank_block {n k : ℕ} (rho : Matrix (Fin n) (Fin n) ℂ)
    (hpsd : rho.PosSemidef) (hrank : rho.rank = k) (hkn : k < n) :
    ∃ (p : Equiv.Perm (Fin n)) (A : Matrix (Fin k) (Fin (n-k)) ℂ)
      (K : Matrix (Fin k) (Fin k) ℂ),
      K.PosDef ∧ permuteMatrix p rho = rankBlockMatrix hkn.le K A ∧
      ∀ (rhoFirst rhoSecond : Matrix (Fin n) (Fin n) ℂ),
        rhoFirst.PosSemidef → rhoSecond.PosSemidef →
        rho = (1 / 2 : ℂ) • (rhoFirst + rhoSecond) →
        ∃ (KFirst KSecond : Matrix (Fin k) (Fin k) ℂ),
          KFirst.PosSemidef ∧ KSecond.PosSemidef ∧
          permuteMatrix p rhoFirst = rankBlockMatrix hkn.le KFirst A ∧
          permuteMatrix p rhoSecond = rankBlockMatrix hkn.le KSecond A := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P12
Source
Extremal Quantum States in Coupled Systems, arXiv:quant-ph/0307182v1, PDF p. 3, Proposition 2.1: common rank-block representation and midpoint summands
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What the Lean code literally says, in plain math · gpt-6.1-sol

For all natural numbers n,kn,kn,k and every complex n×nn\times nn×n matrix ρ\rhoρ, assume that ρ\rhoρ is positive semidefinite, has rank exactly kkk, and satisfies k<nk<nk<n. Then there exist a permutation ppp of {0,…,n−1}\{0,\ldots,n-1\}{0,…,n−1}, a complex k×(n−k)k\times(n-k)k×(n−k) matrix AAA, and a positive definite complex k×kk\times kk×k matrix KKK such that, defining

BA(H)=(HHAA†HA†HA),B_A(H)= \begin{pmatrix} H & HA\\ A^\dagger H & A^\dagger HA \end{pmatrix},BA​(H)=(HA†H​HAA†HA​),

one has ρp(i),p(j)=BA(K)i,j\rho_{p(i),p(j)}=B_A(K)_{i,j}ρp(i),p(j)​=BA​(K)i,j​ for all i,ji,ji,j. Moreover, for every pair of positive semidefinite complex n×nn\times nn×n matrices ρFirst,ρSecond\rho_{\mathrm{First}},\rho_{\mathrm{Second}}ρFirst​,ρSecond​ satisfying ρ=12(ρFirst+ρSecond)\rho=\tfrac12(\rho_{\mathrm{First}}+\rho_{\mathrm{Second}})ρ=21​(ρFirst​+ρSecond​), there exist positive semidefinite complex k×kk\times kk×k matrices KFirst,KSecondK_{\mathrm{First}},K_{\mathrm{Second}}KFirst​,KSecond​ such that

(ρFirst)p(i),p(j)=BA(KFirst)i,j,(ρSecond)p(i),p(j)=BA(KSecond)i,j(\rho_{\mathrm{First}})_{p(i),p(j)}=B_A(K_{\mathrm{First}})_{i,j}, \qquad (\rho_{\mathrm{Second}})_{p(i),p(j)}=B_A(K_{\mathrm{Second}})_{i,j}(ρFirst​)p(i),p(j)​=BA​(KFirst​)i,j​,(ρSecond​)p(i),p(j)​=BA​(KSecond​)i,j​

for all i,ji,ji,j, using the same p,Ap,Ap,A chosen above. No trace normalization is assumed. The hypotheses exclude n=0n=0n=0 but allow k=0k=0k=0; in that case the displayed block matrices are zero, and positive definiteness of the empty KKK is vacuous.

Human review
  • Endorsed by Shuze Chen · Nov 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Gohan · Nov 1, 2026

    Confirmed by the mission captain (proposal self-audit).

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