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Hermitian form of a spectral function in eigenbasis coordinates: Re⁡(xHf(A)x)=∑if(λi)∥ci∥2\operatorname{Re}(x^{\mathsf H} f(A) x) = \sum_i f(\lambda_i)\|c_i\|^2Re(xHf(A)x)=∑i​f(λi​)∥ci​∥2

Proved
RHLinalg.hermForm_specMap

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

linear-algebrazeta23

Let AAA be an n×nn \times nn×n Hermitian matrix over an RCLike field K\mathbb{K}K, with spectral decomposition A=Udiag⁡(λ)UHA = U \operatorname{diag}(\lambda) U^{\mathsf H}A=Udiag(λ)UH (UUU the eigenvector unitary, λi\lambda_iλi​ the eigenvalues). For a real function f:R→Rf : \mathbb{R} \to \mathbb{R}f:R→R, the project defines the spectral functional calculus

specMap⁡(A,f)  =  Udiag⁡(f(λ1),…,f(λn)) UH.\operatorname{specMap}(A, f) \;=\; U \operatorname{diag}(f(\lambda_1), \dots, f(\lambda_n))\, U^{\mathsf H}.specMap(A,f)=Udiag(f(λ1​),…,f(λn​))UH.

Statement. For every vector x∈Knx \in \mathbb{K}^nx∈Kn, writing c=UHxc = U^{\mathsf H} xc=UHx for its eigenbasis coordinates,

Re⁡(xH specMap⁡(A,f) x)  =  ∑if(λi) ∥ci∥2.\operatorname{Re}\bigl( x^{\mathsf H}\, \operatorname{specMap}(A,f)\, x \bigr) \;=\; \sum_{i} f(\lambda_i)\, \|c_i\|^2 .Re(xHspecMap(A,f)x)=i∑​f(λi​)∥ci​∥2.

That is, the Hermitian quadratic form of f(A)f(A)f(A) diagonalizes in the eigenbasis of AAA with weights f(λi)f(\lambda_i)f(λi​). In the module Zeta23.LinAlg.HermitianPosPart this identity drives the positivity statements about the Hermitian positive part A+=specMap⁡(A,t↦t+)A_+ = \operatorname{specMap}(A, t \mapsto t^+)A+​=specMap(A,t↦t+): it is consumed by RHLinalg.posDefOn_range_hermPosPart (Sylvester, easy direction) and by Zeta23.Tail.traceNorm_le_of_hasSum_vecMulVec in the tail estimates of the matrix-variational argument.

Preamble
import Mathlib.Analysis.Matrix.PosDef
import Definitions.Def_Zeta23_LinAlg_HermitianPosPart
import Definitions.Def_Zeta23_LinAlg_PosIndex

open Matrix Finset Unitary
open scoped ComplexOrder
open RHLinalg
variable {𝕜 : Type*} [RCLike 𝕜]
variable {n : Type*} [Fintype n] [DecidableEq n]
Formal statement
theorem RHLinalg.hermForm_specMap {A : Matrix n n 𝕜} (hA : A.IsHermitian) (f : ℝ → ℝ)
    (x : n → 𝕜) :
    RCLike.re (star x ⬝ᵥ (specMap hA f *ᵥ x))
      = ∑ i, f (hA.eigenvalues i) *
          ‖(star (hA.eigenvectorUnitary : Matrix n n 𝕜) *ᵥ x) i‖ ^ 2 := by sorry
Source
https://github.com/anthropics/zeta-23-lean/blob/182afbf851aa42a8ae78507be83f2356d3a33260/Zeta23/LinAlg/HermitianPosPart.lean#L75-L98

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