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Positive Semidefinite Hessian Matrix

Proved
FunctionalInequalities.Analysis.BakryEmery.hessianMatrixIn_posSemidef_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This theorem converts pointwise nonnegativity of a Hessian bilinear form into positive semidefiniteness of its matrix in an orthonormal basis.

Let EEE be a real inner-product space, let bbb be an orthonormal basis indexed by Fin⁡(m)\operatorname{Fin}(m)Fin(m), and let ϕ:E→R\phi:E\to\mathbb Rϕ:E→R. At x∈Ex\in Ex∈E, assume that ϕ\phiϕ is twice continuously differentiable and that

0≤D2ϕ(x)[v,v]for every v∈E.0\le D^2\phi(x)[v,v]\qquad\text{for every }v\in E.0≤D2ϕ(x)[v,v]for every v∈E.

Then the matrix hessianMatrixIn φ b x is positive semidefinite:

PosSemidef⁡(hessianMatrixIn⁡(ϕ,b,x)).\operatorname{PosSemidef}(\operatorname{hessianMatrixIn}(\phi,b,x)).PosSemidef(hessianMatrixIn(ϕ,b,x)).

This is a pointwise linear-algebraic bridge between the Hessian form and its coordinate matrix.

Original Lean declaration header

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

theorem hessianMatrixIn_posSemidef {m : ℕ} (b : OrthonormalBasis (Fin m) ℝ E)
    {φ : E → ℝ} {x : E} (hφ : ContDiffAt ℝ 2 φ x)
    (hH : ∀ v : E, 0 ≤ bilinearIteratedFDerivTwo ℝ φ x v v) :
    (hessianMatrixIn φ b x).PosSemidef

Module navigation

Module: Analysis/BakryEmery/MongeAmpere.

Source excerpt, lines 219–222 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_BakryEmery_MongeAmpere

variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [FiniteDimensional ℝ E]
omit [FiniteDimensional ℝ E]
Formal statement

theorem FunctionalInequalities.Analysis.BakryEmery.hessianMatrixIn_posSemidef_readable {m : ℕ} (b : OrthonormalBasis (Fin m) ℝ E)
    {φ : E → ℝ} {x : E} (hφ : ContDiffAt ℝ 2 φ x)
    (hH : ∀ v : E, 0 ≤ bilinearIteratedFDerivTwo ℝ φ x v v) :
    (hessianMatrixIn φ b x).PosSemidef := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/BakryEmery/MongeAmpere.lean#L217-L241 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.BakryEmery.MongeAmpere`, declaration `FunctionalInequalities.Analysis.BakryEmery.hessianMatrixIn_posSemidef`; the repository is private at upload time).

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