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Continuous Multilinear Determinant Map

Definition
KLSModular_FunctionalInequalities_Analysis_Matrix_DeterminantDerivative

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

functional-inequalitiesklskls-conjecturekls-modularlog-concavemodule-context

For a finite index type ιιι with decidable equality, detML is the continuous multilinear map over RℝR that takes a family of row vectors, equivalently a matrix M:ι→ι→RM : ι \to ι \to ℝM:ι→ι→R, to its determinant. Its domain is the multilinear product of one copy of ι→Rι \to ℝι→R for each row, and its codomain is RℝR. This bundle contains the determinant map used as a foundational object for later derivative and log-determinant formulas; it does not itself state such a derivative formula.

Original module imports

import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Topology.Algebra.Group.Matrix
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.Trace
import Mathlib.Analysis.Matrix.Normed
import Mathlib.Analysis.SpecialFunctions.Log.Deriv
import Mathlib.Analysis.Calculus.TaylorIntegral
import Mathlib.Analysis.Matrix.PosDef

Original declaration excerpt

Shown in the original module context.

private def detML : ContinuousMultilinearMap ℝ (fun _ : ι => ι → ℝ) ℝ :=
  { (Matrix.detRowAlternating : (ι → ℝ) [⋀^ι]→ₗ[ℝ] ℝ).toMultilinearMap with
    cont := by
      change Continuous (fun M : ι → ι → ℝ => (Matrix.of M).det)
      simp only [Matrix.det_apply, Matrix.of_apply]
      fun_prop }

Module navigation

Theorems in source order:

  • fderiv_det_eq_det_mul_trace

Project result: The KLS conjecture.

Original module · FunctionalInequalities.Analysis.Matrix.DeterminantDerivative · Frozen source 408915f.

Definition code
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Topology.Algebra.Group.Matrix
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.Trace
import Mathlib.Analysis.Matrix.Normed
import Mathlib.Analysis.SpecialFunctions.Log.Deriv
import Mathlib.Analysis.Calculus.TaylorIntegral
import Mathlib.Analysis.Matrix.PosDef

noncomputable section
open scoped Matrix.Norms.Elementwise
namespace FunctionalInequalities
namespace Analysis
variable {ι : Type*} [Fintype ι] [DecidableEq ι]
 def detML : ContinuousMultilinearMap ℝ (fun _ : ι => ι → ℝ) ℝ :=
  { (Matrix.detRowAlternating : (ι → ℝ) [⋀^ι]→ₗ[ℝ] ℝ).toMultilinearMap with
    cont := by
      change Continuous (fun M : ι → ι → ℝ => (Matrix.of M).det)
      simp only [Matrix.det_apply, Matrix.of_apply]
      fun_prop }
end Analysis
end FunctionalInequalities
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Matrix/DeterminantDerivative.lean#L25-L30 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Matrix.DeterminantDerivative`, definition bundle `KLSModular_FunctionalInequalities_Analysis_Matrix_DeterminantDerivative`; the repository is private at upload time).

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