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Derivative of a Determinant with One Updated Row

Proved
FunctionalInequalities.Analysis.fderiv_det_updateRow_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This lemma is a technical determinant differentiation formula.

Let EEE be a real normed vector space, let A:E→Fin⁡(n)→Fin⁡(n)→RA:E\to\operatorname{Fin}(n)\to\operatorname{Fin}(n)\to\mathbb RA:E→Fin(n)→Fin(n)→R, and suppose every scalar entry y↦A(y)kly\mapsto A(y)_{kl}y↦A(y)kl​ is differentiable at x∈Ex\in Ex∈E. Fix a row jjj, a replacement row c:Fin⁡(n)→Rc:\operatorname{Fin}(n)\to\mathbb Rc:Fin(n)→R, and a direction v∈Ev\in Ev∈E. Then

D[y↦det⁡(updateRow⁡(A(y),j,c))]x(v)=∑k{0,k=j,det⁡(updateRow⁡(updateRow⁡(A(x),j,c),k,D(Ak∙)x(v))),k≠j.D\left[y\mapsto\det(\operatorname{updateRow}(A(y),j,c))\right]_x(v) =\sum_k \begin{cases}0,&k=j,\\ \det\bigl(\operatorname{updateRow}(\operatorname{updateRow}(A(x),j,c),k,D(A_{k\bullet})_x(v))\bigr),&k\ne j. \end{cases}D[y↦det(updateRow(A(y),j,c))]x​(v)=k∑​{0,det(updateRow(updateRow(A(x),j,c),k,D(Ak∙​)x​(v))),​k=j,k=j.​

The declaration fderiv_det_updateRow_readable is used as a local algebraic rule and makes no symmetry, positivity, or invertibility assumption on the matrices.

Original Lean declaration header

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

private lemma fderiv_det_updateRow
    {n : ℕ} {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
    (A : E → Fin n → Fin n → ℝ) (x : E)
    (hA : ∀ k l, DifferentiableAt ℝ (fun y => A y k l) x)
    (j : Fin n) (c : Fin n → ℝ) (v : E) :
    fderiv ℝ (fun y => (Matrix.updateRow (A y) j c).det) x v =
      ∑ k, if k = j then 0
        else ((Matrix.updateRow (A x) j c).updateRow k
          (fun l => fderiv ℝ (fun y => A y k l) x v)).det

Module navigation

Module: Analysis/Matrix/Piola.

Next: sum_fderiv_adjugate_hessianMatrix_eq_zero.

Source excerpt, lines 57–65 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Matrix_Piola

Formal statement
 lemma FunctionalInequalities.Analysis.fderiv_det_updateRow_readable
    {n : ℕ} {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
    (A : E → Fin n → Fin n → ℝ) (x : E)
    (hA : ∀ k l, DifferentiableAt ℝ (fun y => A y k l) x)
    (j : Fin n) (c : Fin n → ℝ) (v : E) :
    fderiv ℝ (fun y => (Matrix.updateRow (A y) j c).det) x v =
      ∑ k, if k = j then 0
        else ((Matrix.updateRow (A x) j c).updateRow k
          (fun l => fderiv ℝ (fun y => A y k l) x v)).det := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Matrix/Piola.lean#L57-L129 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Matrix.Piola`, declaration `_private.FunctionalInequalities.Analysis.Matrix.Piola.0.FunctionalInequalities.Analysis.fderiv_det_updateRow`; the repository is private at upload time).

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