Self-Adjoint Coordinate Expansion
ProvedFunctionalInequalities.KLS.BKL.Localization.sum_inner_inverseSqrt_sq_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This is the coordinate expansion of a quadratic form for a self-adjoint operator.
Let be a continuous linear map satisfying
for all . Then, for every ,
where are the Euclidean coordinate basis vectors. This elementary identity is used to rewrite sums involving the inverse square root of a covariance operator.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.BKL.Localization. Shown in its original module context. Proof omitted.
theorem sum_inner_inverseSqrt_sq (σ : EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n))
(hσ : ∀ u v, ⟪σ u, v⟫ = ⟪u, σ v⟫) (v : EuclideanSpace ℝ (Fin n)) :
∑ k, ⟪σ (EuclideanSpace.single k 1), v⟫ * ⟪σ (EuclideanSpace.single k 1), v⟫ =
⟪v, σ (σ v)⟫
Module navigation
Module: KLS/BKL/Localization/LogLaplaceGenerator.
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Source excerpt, lines 143–146 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Localization_LogLaplaceGenerator
open scoped RealInnerProductSpace
variable {n : ℕ}
Formal statement
theorem FunctionalInequalities.KLS.BKL.Localization.sum_inner_inverseSqrt_sq_readable (σ : EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n))
(hσ : ∀ u v, ⟪σ u, v⟫ = ⟪u, σ v⟫) (v : EuclideanSpace ℝ (Fin n)) :
∑ k, ⟪σ (EuclideanSpace.single k 1), v⟫ * ⟪σ (EuclideanSpace.single k 1), v⟫ =
⟪v, σ (σ v)⟫ := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/Localization/LogLaplaceGenerator.lean#L142-L158 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Localization.LogLaplaceGenerator`, declaration `FunctionalInequalities.KLS.BKL.Localization.sum_inner_inverseSqrt_sq`; the repository is private at upload time).