Standard-Basis Bochner Identity
ProvedFunctionalInequalities.Analysis.BakryEmery.gammaTwo_eq_hessianSqStdBasis_add_readableThis formalizes the pointwise Bochner identity in the fixed standard orthonormal basis.
Let be a complete finite-dimensional real inner-product space, let be , let be , and let . Then
Here gammaTwo U f is the pointwise carré-du-champ iteration, and hessianSqStdBasis f x is the sum of squares of the Hessian entries in the fixed basis :
.
This is the central local identity used to derive nonnegativity and curvature estimates; it asserts a standard-basis formula, not basis independence.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis.BakryEmery. Shown in its original module context. Proof omitted.
theorem gammaTwo_eq_hessianSqStdBasis_add {U f : E → ℝ} (hU : ContDiff ℝ 2 U)
(hf : ContDiff ℝ 3 f) (x : E) :
gammaTwo U f x =
hessianSqStdBasis f x +
bilinearIteratedFDerivTwo ℝ U x (gradient f x) (gradient f x)
Module navigation
Module: Analysis/BakryEmery/Bochner/Basic.
Definition modules: Analysis/BakryEmery/Gamma.
Supporting theorems: inner_gradient_gradient_inner, inner_gradient_gradient_laplacian, laplacian_norm_gradient_sq.
Previous: inner_gradient_gradient_inner.
Source excerpt, lines 298–302 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_BakryEmery_Bochner_Basic
universe u
variable {E : Type u} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
variable [CompleteSpace E] [FiniteDimensional ℝ E]
theorem FunctionalInequalities.Analysis.BakryEmery.gammaTwo_eq_hessianSqStdBasis_add_readable {U f : E → ℝ} (hU : ContDiff ℝ 2 U)
(hf : ContDiff ℝ 3 f) (x : E) :
gammaTwo U f x =
hessianSqStdBasis f x +
bilinearIteratedFDerivTwo ℝ U x (gradient f x) (gradient f x) := by sorry