Quadratic Form of the Coordinate Hessian
ProvedFunctionalInequalities.Analysis.hessianMatrix_quadratic_readableThis is a coordinate-identification lemma for the Hessian matrix.
Let , let , let be a point in that space, and let be a vector. The quadratic form associated with hessianMatrix ψ x satisfies
where the right-hand side is expressed in Lean as the iterated Fréchet derivative (fderiv ℝ (fderiv ℝ ψ) x) v v.
The lemma connects the coordinate Hessian representation used by the formalization with the second Fréchet derivative and is intended for later viscosity calculations.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.
private lemma hessianMatrix_quadratic
{n : ℕ} {ψ : EuclideanSpace ℝ (Fin n) → ℝ}
{x : EuclideanSpace ℝ (Fin n)}
(v : EuclideanSpace ℝ (Fin n)) :
⟪v, Matrix.toEuclideanLin (hessianMatrix ψ x) v⟫ =
(fderiv ℝ (fderiv ℝ ψ) x) v v
Module navigation
Module: Analysis/Convex/Viscosity.
Definition modules: Analysis/BakryEmery/HessianOperator.
Previous: posSemidef_hessianMatrix_of_upper_touch · Next: local_taylor_two.
Source excerpt, lines 209–214 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_Viscosity open scoped RealInnerProductSpace Topology open FunctionalInequalities.Probability.Stein
lemma FunctionalInequalities.Analysis.hessianMatrix_quadratic_readable
{n : ℕ} {ψ : EuclideanSpace ℝ (Fin n) → ℝ}
{x : EuclideanSpace ℝ (Fin n)}
(v : EuclideanSpace ℝ (Fin n)) :
⟪v, Matrix.toEuclideanLin (hessianMatrix ψ x) v⟫ =
(fderiv ℝ (fderiv ℝ ψ) x) v v := by sorry