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Spectral Geometry of an Invertible Symmetric Matrix

Proved
FunctionalInequalities.Analysis.symmetric_matrix_spectral_geometry_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is an auxiliary finite-dimensional package of spectral facts for an invertible symmetric matrix.

Let n∈Nn\in\mathbb Nn∈N and let MMM be a symmetric real matrix on Fin⁡(n)\operatorname{Fin}(n)Fin(n). Assume that MMM is a unit matrix. Define

B=CFC.sqrt⁡(M2),S=CFC.sqrt⁡(B),Q=cfc⁡(x↦sign⁡(x))(M).B=\operatorname{CFC.sqrt}(M^2),\qquad S=\operatorname{CFC.sqrt}(B),\qquad Q=\operatorname{cfc}(x\mapsto\operatorname{sign}(x))(M).B=CFC.sqrt(M2),S=CFC.sqrt(B),Q=cfc(x↦sign(x))(M).

Then:

  1. BBB and SSS are positive semidefinite;
  2. QQQ is symmetric;
  3. B2=M2B^2=M^2B2=M2, S2=BS^2=BS2=B, and SQS=MSQS=MSQS=M;
  4. Q2=IQ^2=IQ2=I and SSS is a unit matrix;
  5. the continuous linear map induced by QQQ is self-adjoint;
  6. there exists a continuous linear equivalence eee of EuclideanSpace⁡ R (Fin⁡n)\operatorname{EuclideanSpace}\,\mathbb R\,(\operatorname{Fin} n)EuclideanSpaceR(Finn) whose continuous linear map is the map induced by SSS, and this map is self-adjoint.

This packages the matrix identities and operator-theoretic properties needed when passing from spectral matrices to Euclidean-space maps.

Formalization Note The conclusion is valid for every nnn, including n=0n=0n=0; the Euclidean space is specifically EuclideanSpace ℝ (Fin n).

Original Lean declaration header

Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.

set_option maxHeartbeats 700000 in
theorem symmetric_matrix_spectral_geometry {n : ℕ}
    (M : Matrix (Fin n) (Fin n) ℝ) (hM : M.IsSymm) (hunit : IsUnit M) :
    let B : Matrix (Fin n) (Fin n) ℝ := CFC.sqrt (M*M)
    let S : Matrix (Fin n) (Fin n) ℝ := CFC.sqrt B
    let Q : Matrix (Fin n) (Fin n) ℝ := cfc (fun x : ℝ => (SignType.sign x : ℝ)) M
    B.PosSemidef ∧ S.PosSemidef ∧ Q.IsSymm ∧ B*B=M*M ∧ S*S=B ∧ S*Q*S=M ∧ Q*Q=1 ∧ IsUnit S ∧
    IsSelfAdjoint (Matrix.toEuclideanLin Q).toContinuousLinearMap ∧
    ∃ e : EuclideanSpace ℝ (Fin n) ≃L[ℝ] EuclideanSpace ℝ (Fin n),
      e.toContinuousLinearMap = (Matrix.toEuclideanLin S).toContinuousLinearMap ∧
      IsSelfAdjoint e.toContinuousLinearMap

Module navigation

Module: Analysis/Matrix/Sign.

Supporting theorems: symmetric_matrix_sign_factorization, symmetric_matrix_sqrt_real_cfc_bridge.

Previous: symmetric_jordan_decomposition · Next: exists_symmetric_isUnit_matrix_sequence.

Source excerpt, lines 349–359 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Matrix_Sign

open scoped MatrixOrder
set_option maxHeartbeats 700000
Formal statement
theorem FunctionalInequalities.Analysis.symmetric_matrix_spectral_geometry_readable {n : ℕ}
    (M : Matrix (Fin n) (Fin n) ℝ) (hM : M.IsSymm) (hunit : IsUnit M) :
    let B : Matrix (Fin n) (Fin n) ℝ := CFC.sqrt (M*M)
    let S : Matrix (Fin n) (Fin n) ℝ := CFC.sqrt B
    let Q : Matrix (Fin n) (Fin n) ℝ := cfc (fun x : ℝ => (SignType.sign x : ℝ)) M
    B.PosSemidef ∧ S.PosSemidef ∧ Q.IsSymm ∧ B*B=M*M ∧ S*S=B ∧ S*Q*S=M ∧ Q*Q=1 ∧ IsUnit S ∧
    IsSelfAdjoint (Matrix.toEuclideanLin Q).toContinuousLinearMap ∧
    ∃ e : EuclideanSpace ℝ (Fin n) ≃L[ℝ] EuclideanSpace ℝ (Fin n),
      e.toContinuousLinearMap = (Matrix.toEuclideanLin S).toContinuousLinearMap ∧
      IsSelfAdjoint e.toContinuousLinearMap := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Matrix/Sign.lean#L349-L404 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Matrix.Sign`, declaration `FunctionalInequalities.Analysis.symmetric_matrix_spectral_geometry`; the repository is private at upload time).

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