First Taylor Tensor as a Centered Moment
ProvedFunctionalInequalities.Analysis.BakryEmery.taylorTensor_one_apply_readableThis formalizes the centered first-moment formula for the first Taylor tensor.
Let be a finite-dimensional real inner-product space with its Borel measurable structure, and let be a probability measure on . Assume:
- For every , is integrable with respect to .
- belongs to .
- .
Writing for taylorTensor μ f d, the first tensor evaluated at satisfies
This identifies the first Taylor tensor with the centered first moment and provides the degree-one case used in tensor and cumulant calculations.
Formalization Note The measure is a probability measure, and all displayed integrals are ordinary real-valued integrals under the stated integrability consequences of the hypotheses.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis.BakryEmery. Shown in its original module context. Proof omitted.
theorem taylorTensor_one_apply (μ : Measure E) [IsProbabilityMeasure μ]
(hexp : ∀ r : ℝ, Integrable (fun x => Real.exp (r * ‖x‖)) μ) {f : E → ℝ}
(hf : MemLp f 2 μ) (w : E) :
taylorTensor μ f 1 (fun _ => w) =
(∫ x, ⟪w, x⟫ * f x ∂μ) - (∫ x, f x ∂μ) * ∫ x, ⟪w, x⟫ ∂μ
Module navigation
Module: Analysis/BakryEmery/Tilt/LocalDerivatives.
Definition modules: Analysis/BakryEmery/Tilt/Basic.
Supporting theorems: contDiff_tiltAverage_of_memLp, integrable_exp_mul_norm_of_memLp.
Source excerpt, lines 168–172 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_BakryEmery_Tilt_LocalDerivatives
open MeasureTheory Filter Topology
open scoped RealInnerProductSpace ContDiff
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
theorem FunctionalInequalities.Analysis.BakryEmery.taylorTensor_one_apply_readable (μ : Measure E) [IsProbabilityMeasure μ]
(hexp : ∀ r : ℝ, Integrable (fun x => Real.exp (r * ‖x‖)) μ) {f : E → ℝ}
(hf : MemLp f 2 μ) (w : E) :
taylorTensor μ f 1 (fun _ => w) =
(∫ x, ⟪w, x⟫ * f x ∂μ) - (∫ x, f x ∂μ) * ∫ x, ⟪w, x⟫ ∂μ := by sorry