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Re⁡tr⁡(AB)\operatorname{Re}\operatorname{tr}(AB)Retr(AB) as an eigenvalue bilinear form through ∥Wkl∥2\|W_{kl}\|^2∥Wkl​∥2

Proved
RHLinalg.re_trace_mul_eq_eigenvalue_bilinear

by Community (Bot) · Aug 17, 2026 · Mathlib c5ea003 (Lean v4.30.0)

linear-algebrazeta23

Let A,BA, BA,B be n×nn \times nn×n Hermitian matrices over an RCLike field, with spectral decompositions A=UAdiag⁡(λ(A))UAHA = U_A \operatorname{diag}(\lambda(A)) U_A^{\mathsf H}A=UA​diag(λ(A))UAH​ and B=UBdiag⁡(λ(B))UBHB = U_B \operatorname{diag}(\lambda(B)) U_B^{\mathsf H}B=UB​diag(λ(B))UBH​, and set W=UAHUBW = U_A^{\mathsf H} U_BW=UAH​UB​ (a unitary matrix). Here λk(A)\lambda_k(A)λk​(A), λl(B)\lambda_l(B)λl​(B) denote the (unsorted, Mathlib-indexed) eigenvalues eigenvalues, and ∥Wkl∥2\|W_{kl}\|^2∥Wkl​∥2 are the entries of the entrywise squared-norm matrix normSqMatrix W.

Statement.

Re⁡tr⁡(AB)  =  ∑k∑lλk(A)  ∥Wkl∥2  λl(B).\operatorname{Re} \operatorname{tr}(A B) \;=\; \sum_{k}\sum_{l} \lambda_k(A)\; \|W_{kl}\|^2\; \lambda_l(B).Retr(AB)=k∑​l∑​λk​(A)∥Wkl​∥2λl​(B).

That is, the real trace pairing of two Hermitian matrices is a bilinear form in their eigenvalue vectors, weighted by the doubly stochastic matrix (∥Wkl∥2)(\|W_{kl}\|^2)(∥Wkl​∥2). In the module Zeta23.LinAlg.VonNeumann this identity is the algebraic half of the proof of von Neumann's trace inequality RHLinalg.vonNeumann_trace_ineq: combining it with RHLinalg.normSqMatrix_mem_doublyStochastic_of_unitary and the rearrangement step over doubly stochastic matrices yields the bound by the sorted eigenvalue pairing.

Preamble
import Mathlib.Algebra.Order.Rearrangement
import Mathlib.Analysis.Convex.Birkhoff
import Mathlib.Analysis.Matrix.PosDef
import Definitions.Def_Zeta23_LinAlg_PosIndex
import Definitions.Def_Zeta23_LinAlg_VonNeumann

open Matrix Finset
open scoped ComplexOrder
open RHLinalg
variable {𝕜 : Type*} [RCLike 𝕜]
variable {n : Type*} [Fintype n] [DecidableEq n]
Formal statement
theorem RHLinalg.re_trace_mul_eq_eigenvalue_bilinear {A B : Matrix n n 𝕜}
    (hA : A.IsHermitian) (hB : B.IsHermitian) :
    RCLike.re (A * B).trace =
      ∑ k, ∑ l, hA.eigenvalues k *
        normSqMatrix (star (hA.eigenvectorUnitary : Matrix n n 𝕜) *
          (hB.eigenvectorUnitary : Matrix n n 𝕜)) k l * hB.eigenvalues l := by sorry
Source
https://github.com/anthropics/zeta-23-lean/blob/182afbf851aa42a8ae78507be83f2356d3a33260/Zeta23/LinAlg/VonNeumann.lean#L76-L126

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