Local Scalar-Direction Fréchet Derivative of the Suspension Log-Laplace Transform
ProvedFunctionalInequalities.KLS.LogConcave.Suspension.fderiv_logLaplace_jointLaw_none_readableThis auxiliary statement formalizes equation (111) in the suspension argument for Proposition 7.1, p. 28, of Bizeul–Klartag–Lehec (arXiv:2610.05474v1).
Let with , and (EuclideanSpace ℝ (Fin n)). Let RegularPotential : , is smooth with derivatives of polynomial growth, and . Put , the normalized law. Assume:
- and is .
- for every , where .
- .
Set (sigma) and jointLaw on JointSpace . Write for the scalar coordinate, for the copy blocks, and for the scalar unit vector. There exists such that every with and satisfies
Here is fderiv, logLaplace, and tiltAverage. This supplies the local first-derivative identity for mixed-cumulant calculations; it does not require isotropy or normalization of .
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.LogConcave.Suspension. Shown in its original module context. Proof omitted.
theorem fderiv_logLaplace_jointLaw_none {n N : ℕ} (hN : 0 < N) (V : EuclideanSpace ℝ (Fin n) → ℝ)
{a b' : ℝ} (hV : KLS.RegularPotential V a b') {f : EuclideanSpace ℝ (Fin n) → ℝ} {M β : ℝ}
(hβ : 0 < β) (hf : ContDiff ℝ 2 f) (hfM : ∀ x, ‖fderiv ℝ (fderiv ℝ f) x‖ ≤ M)
(h110 : β / Real.sqrt N * M ≤ a) :
∃ r > 0, ∀ z : JointSpace N n, ‖z‖ < r → z none = 0 →
fderiv ℝ (logLaplace (jointLaw (hV.law : Measure _) f β (sigma β) N)) z
(EuclideanSpace.single none 1) =
(sigma β * Real.sqrt N)⁻¹ *
∑ i, tiltAverage (hV.law : Measure _) f (WithLp.toLp 2 fun j => z (some (i, j)))
Module navigation
Module: KLS/BKL/Suspension/Derivatives.
Definition modules: Analysis/BakryEmery/Cumulant/Basic, KLS/BKL/Suspension/Law, KLS/LogConcave/Regular/Basic, Analysis/BakryEmery/Tilt/Basic.
Selected supporting theorems: contDiffOn_logLaplace_ball, convexOn_of_hessian_ge, exists_integrable_exp_norm, exists_f_abs_exponential_moment, exists_graph_norm_moment_of_local_moments.
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Source excerpt, lines 360–368 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Suspension_Derivatives open MeasureTheory FunctionalInequalities FunctionalInequalities.Analysis.BakryEmery
theorem FunctionalInequalities.KLS.LogConcave.Suspension.fderiv_logLaplace_jointLaw_none_readable {n N : ℕ} (hN : 0 < N) (V : EuclideanSpace ℝ (Fin n) → ℝ)
{a b' : ℝ} (hV : KLS.RegularPotential V a b') {f : EuclideanSpace ℝ (Fin n) → ℝ} {M β : ℝ}
(hβ : 0 < β) (hf : ContDiff ℝ 2 f) (hfM : ∀ x, ‖fderiv ℝ (fderiv ℝ f) x‖ ≤ M)
(h110 : β / Real.sqrt N * M ≤ a) :
∃ r > 0, ∀ z : JointSpace N n, ‖z‖ < r → z none = 0 →
fderiv ℝ (logLaplace (jointLaw (hV.law : Measure _) f β (sigma β) N)) z
(EuclideanSpace.single none 1) =
(sigma β * Real.sqrt N)⁻¹ *
∑ i, tiltAverage (hV.law : Measure _) f (WithLp.toLp 2 fun j => z (some (i, j))) := by sorry