Weak Derivative of a Composed Coordinate Derivative
ProvedFunctionalInequalities.Analysis.exists_lipschitzWith_weak_fderiv_comp_gradient_readableThis is a supporting weak-Hessian statement for the second evolution identity of Letwin (arXiv:2607.24164v1), equation (2.6).
Let . Assume , is globally Lipschitz, is globally Lipschitz, and . For each , there exists such that is -Lipschitz. For every , it has a weak derivative along given by
This derivative belongs to on every compact set. No global estimate or inverse-Hessian bound is asserted.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.
theorem exists_lipschitzWith_weak_fderiv_comp_gradient {n : ℕ}
{u W : EuclideanSpace ℝ (Fin n) → ℝ} {L G : NNReal}
(hu : ContDiff ℝ 1 u) (hULip : LipschitzWith L u)
(hGradLip : LipschitzWith G (gradient u)) (hW : ContDiff ℝ 2 W)
(a : Fin n) :
∃ C : NNReal,
LipschitzWith C (fun x => fderiv ℝ W (gradient u x)
(EuclideanSpace.basisFun (Fin n) ℝ a)) ∧
∀ j : Fin n,
HasWeakDerivAlong
(fun x => fderiv ℝ W (gradient u x) (EuclideanSpace.basisFun (Fin n) ℝ a))
(fun x => ∑ b : Fin n, hessianMatrix u x j b * hessianMatrix W (gradient u x) b a)
(EuclideanSpace.basisFun (Fin n) ℝ j) ∧
∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
MemLp
(fun x => ∑ b : Fin n, hessianMatrix u x j b * hessianMatrix W (gradient u x) b a)
2 ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S)
Module navigation
Module: Analysis/BakryEmery/IntegrationByParts/WeakHessianEvolution.
Definition modules: Analysis/BakryEmery/HessianOperator, Analysis/WeakDerivative/Basic.
Supporting theorems: HasWeakDerivAlong.congr_ae, ae_fderiv_mongeAmpere_exponent, exists_lipschitzWith_neg_add_comp_gradient, hasWeakDerivAlong_of_lipschitz.
Next: hasWeakDerivAlong_mongeAmpere_first_rhs.
Source excerpt, lines 86–102 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_BakryEmery_IntegrationByParts_WeakHessianEvolution open MeasureTheory Set open FunctionalInequalities.Probability.Stein set_option maxHeartbeats 800000
theorem FunctionalInequalities.Analysis.exists_lipschitzWith_weak_fderiv_comp_gradient_readable {n : ℕ}
{u W : EuclideanSpace ℝ (Fin n) → ℝ} {L G : NNReal}
(hu : ContDiff ℝ 1 u) (hULip : LipschitzWith L u)
(hGradLip : LipschitzWith G (gradient u)) (hW : ContDiff ℝ 2 W)
(a : Fin n) :
∃ C : NNReal,
LipschitzWith C (fun x => fderiv ℝ W (gradient u x)
(EuclideanSpace.basisFun (Fin n) ℝ a)) ∧
∀ j : Fin n,
HasWeakDerivAlong
(fun x => fderiv ℝ W (gradient u x) (EuclideanSpace.basisFun (Fin n) ℝ a))
(fun x => ∑ b : Fin n, hessianMatrix u x j b * hessianMatrix W (gradient u x) b a)
(EuclideanSpace.basisFun (Fin n) ℝ j) ∧
∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
MemLp
(fun x => ∑ b : Fin n, hessianMatrix u x j b * hessianMatrix W (gradient u x) b a)
2 ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S) := by sorry