Mixed Cumulant Entries of the Regular Suspension Joint Law
ProvedFunctionalInequalities.KLS.LogConcave.Suspension.source_mixed_cumulant_entries_readableThis auxiliary lemma states the mixed-cumulant entry identity corresponding to BKL equation (112).
Let with and (EuclideanSpace ℝ (Fin n)). Let RegularPotential : , is smooth with derivatives of polynomial growth, and . Put , the normalized law. Assume:
- , is , and for every .
- .
Set (sigma) and jointLaw on JointSpace . Let be its scalar and copy-coordinate unit vectors, and the standard basis of . For every natural , , and ,
Here is cumulant and is taylorTensor. The identity retains repeated spatial slots and supplies the entry data for cumulant norm estimates. Neither isotropy of nor centering or unit variance of is assumed.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.LogConcave.Suspension. Shown in its original module context. Proof omitted.
private theorem source_mixed_cumulant_entries {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)
{d : ℕ} (hd : 1 ≤ d) (I : Fin d → Fin N) (J : Fin d → Fin n) :
cumulant (jointLaw (hV.law : Measure _) f β (sigma β) N) (d + 1)
(Fin.cons (EuclideanSpace.single none 1)
(fun k => EuclideanSpace.single (some (I k, J k)) 1)) =
if ∀ k k', I k = I k' then
(d.factorial : ℝ) / (sigma β * Real.sqrt N) *
taylorTensor (hV.law : Measure _) f d
(fun k => EuclideanSpace.basisFun (Fin n) ℝ (J k)) else 0
Module navigation
Module: KLS/BKL/Suspension/Derivatives.
Definition modules: KLS/BKL/Suspension/Law, Analysis/BakryEmery/Tilt/Basic, KLS/LogConcave/Regular/Basic, Analysis/BakryEmery/Cumulant/Basic.
Supporting theorems: contDiffOn_logLaplace_ball, exists_integrable_exp_norm, fderiv_logLaplace_jointLaw_none, jointLaw_eq_tilted, logConcave_jointLaw_of_eq_tilted.
Previous: fderiv_logLaplace_jointLaw_none.
Source excerpt, lines 713–725 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Suspension_Derivatives open MeasureTheory FunctionalInequalities FunctionalInequalities.Analysis.BakryEmery set_option autoImplicit false
theorem FunctionalInequalities.KLS.LogConcave.Suspension.source_mixed_cumulant_entries_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)
{d : ℕ} (hd : 1 ≤ d) (I : Fin d → Fin N) (J : Fin d → Fin n) :
cumulant (jointLaw (hV.law : Measure _) f β (sigma β) N) (d + 1)
(Fin.cons (EuclideanSpace.single none 1)
(fun k => EuclideanSpace.single (some (I k, J k)) 1)) =
if ∀ k k', I k = I k' then
(d.factorial : ℝ) / (sigma β * Real.sqrt N) *
taylorTensor (hV.law : Measure _) f d
(fun k => EuclideanSpace.basisFun (Fin n) ℝ (J k)) else 0 := by sorry