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Coordinate operator matrices and tensor energy form

Definition
KLSModular_FunctionalInequalities_Analysis_Tensor_EnergyForm

by Lazyfill · Oct 25, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitiesklskls-conjecturekls-modularlog-concavemodule-context

stdMatrix H is the matrix of a continuous operator HHH on EuclideanSpace R (Fin n)\mathrm{EuclideanSpace}\,\mathbb{R}\,(\mathrm{Fin}\,n)EuclideanSpaceR(Finn) in the standard basis, with entries ⟨ei,Hek⟩\langle e_i,H e_k\rangle⟨ei​,Hek​⟩. energyForm A T is the coordinate expression ∑J,J′TJTJ′∏s⟨eJs,A−1eJs′⟩\sum_{J,J'}T_JT_{J'}\prod_s\langle e_{J_s},A^{-1}e_{J'_s}\rangle∑J,J′​TJ​TJ′​∏s​⟨eJs​​,A−1eJs′​​⟩, where Ring.inverse A is the operator-algebra inverse and TTT has order rrr. It represents the quadratic form induced by applying the inverse of AAA in every tensor slot.

Original module imports

import FunctionalInequalities.Analysis.Tensor.SlotAction

Original declaration excerpt

Shown in the original module context.

def stdMatrix (H : EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n)) : Matrix (Fin n) (Fin n) ℝ :=
  Matrix.of fun i k => ⟪EuclideanSpace.basisFun (Fin n) ℝ i, H (EuclideanSpace.basisFun (Fin n) ℝ k)⟫

Module navigation

Direct project imports: Analysis/Tensor/SlotAction.

Theorems in source order:

  • contDiffAt_energyForm
  • sum_mul_prod_delta_erase
  • slot_derivative_sum
  • hasDerivAt_energyForm_line
  • sum_mul_prod_delta_erase_erase
  • fderiv_fderiv_apply_eq_deriv_deriv_line
  • slot_sum_two
  • two_slot_sum
  • deriv_deriv_energyForm_line

Project result: The KLS conjecture.

Original module · FunctionalInequalities.Analysis.Tensor.EnergyForm · Frozen source 408915f.

Definition code
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Tensor_SlotAction

noncomputable section
open Matrix
open scoped RealInnerProductSpace
namespace FunctionalInequalities
namespace Analysis
namespace CoordinateTensor
variable {n r : ℕ}
/-- The matrix of an operator on `ℝⁿ` in the standard basis: `(stdMatrix H) i k = ⟪e_i, H e_k⟫`. -/
def stdMatrix (H : EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n)) : Matrix (Fin n) (Fin n) ℝ :=
  Matrix.of fun i k => ⟪EuclideanSpace.basisFun (Fin n) ℝ i, H (EuclideanSpace.basisFun (Fin n) ℝ k)⟫
/-- The energy form `F(A, T) = ⟨T, (A⁻¹)^{⊗r} T⟩ = Σ_{J,J'} T_J T_{J'} Π_s ⟪e_{J_s}, A⁻¹ e_{J'_s}⟫` of BKL
arXiv:2610.05474v1, p. 22 (`A⁻¹ = Ring.inverse A`, the canonical inverse of the operator algebra). -/
def energyForm (A : EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n)) (T : (Fin r → Fin n) → ℝ) : ℝ :=
  ∑ J : Fin r → Fin n, ∑ J' : Fin r → Fin n, T J * T J' *
    ∏ s, ⟪EuclideanSpace.basisFun (Fin n) ℝ (J s), Ring.inverse A (EuclideanSpace.basisFun (Fin n) ℝ (J' s))⟫
end CoordinateTensor
end Analysis
end FunctionalInequalities
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Tensor/EnergyForm.lean#L19-L27 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Tensor.EnergyForm`, definition bundle `KLSModular_FunctionalInequalities_Analysis_Tensor_EnergyForm`; the repository is private at upload time).

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