Symmetric Invertible Approximation of a Symmetric Matrix
ProvedFunctionalInequalities.Analysis.exists_symmetric_isUnit_matrix_sequence_readablefunctional-inequalitieskls-conjecturekls-modularkls-readableletwin2026log-concave
This is a finite-dimensional matrix approximation lemma.
Let be a finite type with decidable equality, and let be a real matrix satisfying . Then there exists a sequence of matrices such that every is symmetric and invertible, and
as in the matrix topology. The result supplies invertible symmetric approximants without requiring itself to be invertible.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.
set_option maxHeartbeats 300000 in
theorem exists_symmetric_isUnit_matrix_sequence {ι : Type*} [Fintype ι] [DecidableEq ι]
(A : Matrix ι ι ℝ) (hA : A.IsSymm) :
∃ seq : ℕ → Matrix ι ι ℝ,
(∀ k, (seq k).IsSymm ∧ IsUnit (seq k)) ∧ Tendsto seq atTop (𝓝 A)
Module navigation
Module: Analysis/Matrix/Sign.
Previous: symmetric_matrix_spectral_geometry.
Source excerpt, lines 416–420 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Matrix_Sign open Matrix Filter Set open scoped Topology set_option maxHeartbeats 300000
Formal statement
theorem FunctionalInequalities.Analysis.exists_symmetric_isUnit_matrix_sequence_readable {ι : Type*} [Fintype ι] [DecidableEq ι]
(A : Matrix ι ι ℝ) (hA : A.IsSymm) :
∃ seq : ℕ → Matrix ι ι ℝ,
(∀ k, (seq k).IsSymm ∧ IsUnit (seq k)) ∧ Tendsto seq atTop (𝓝 A) := by sorry
Source
Source: Letwin, The KLS constant is O(log^(1/4) n) (arXiv:2607.24164v1), Lemma A.2. Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Matrix/Sign.lean#L416-L435 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Matrix.Sign`, declaration `FunctionalInequalities.Analysis.exists_symmetric_isUnit_matrix_sequence`; the repository is private at upload time).