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All-order derivatives of weighted exponential integrals

Definition
KLSModular_FunctionalInequalities_Analysis_BakryEmery_Tilt_LocalDerivatives

by Lazyfill · Oct 25, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitiesklskls-conjecturekls-modularlog-concavemodule-context

For finite-dimensional real inner-product space EEE, integrable_exp_inner_smul_of_lt gives integrability of x↦e⟨z,x⟩ g(x)x\mapsto e^{\langle z,x\rangle}\,g(x)x↦e⟨z,x⟩g(x) when ∥z∥<r\|z\|<r∥z∥<r and ∫et∥x∥∥g(x)∥ dμ<∞\int e^{t\|x\|}\|g(x)\|\,d\mu<\infty∫et∥x∥∥g(x)∥dμ<∞ for every t<rt<rt<r. Under the same hypotheses, iteratedFDeriv_weightedExp_integral_of_lt identifies the ddd-th Fréchet derivative of z↦∫e⟨z,x⟩g(x) dμz\mapsto\int e^{\langle z,x\rangle}g(x)\,d\muz↦∫e⟨z,x⟩g(x)dμ with ∫e⟨z,x⟩∏j⟨x,hj⟩g(x) dμ\int e^{\langle z,x\rangle}\prod_j\langle x,h_j\rangle g(x)\,d\mu∫e⟨z,x⟩∏j​⟨x,hj​⟩g(x)dμ for ∥z∥<r\|z\|<r∥z∥<r. For a probability measure with one positive exponential moment, iteratedFDeriv_laplace_zero specializes this at z=0z=0z=0, and norm_iteratedFDeriv_laplace_zero_le bounds its operator norm by ∫∥x∥d dμ\int\|x\|^d\,d\mu∫∥x∥ddμ; private auxiliary results establish polynomial moment integrability and the product norm estimate.

Original module imports

import FunctionalInequalities.Analysis.BakryEmery.Tilt.Local
import Mathlib.Probability.Moments.IntegrableExpMul

Original declaration excerpt

Shown in the original module context.

theorem integrable_exp_inner_smul_of_lt {F : Type*} [NormedAddCommGroup F]
    [NormedSpace ℝ F] (μ : Measure E) {g : E → F}
    (hg : AEStronglyMeasurable g μ) {r : ℝ}
    (hgi : ∀ t < r, Integrable (fun x => Real.exp (t * ‖x‖) * ‖g x‖) μ)
    {z : E} (hz : ‖z‖ < r) : Integrable (fun x => Real.exp ⟪z, x⟫ • g x) μ := by
  refine (hgi ‖z‖ hz).mono' ?_ ?_
  · exact (by fun_prop : Continuous (fun x : E => Real.exp ⟪z, x⟫)).aestronglyMeasurable.smul hg
  · filter_upwards [] with x
    rw [norm_smul, Real.norm_of_nonneg (Real.exp_pos _).le]
    gcongr
    exact real_inner_le_norm z x

Module navigation

Direct project imports: Analysis/BakryEmery/Tilt/Local.

Theorems in source order:

  • taylorTensor_one_apply

Project result: The KLS conjecture.

Original module · FunctionalInequalities.Analysis.BakryEmery.Tilt.LocalDerivatives · Frozen source 408915f.

Definition code
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_BakryEmery_Tilt_Local
import Mathlib.Probability.Moments.IntegrableExpMul

open MeasureTheory Filter Topology
open scoped RealInnerProductSpace ContDiff
namespace FunctionalInequalities
namespace Analysis
namespace BakryEmery
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
  [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
omit [FiniteDimensional ℝ E] in
/-- Inside the exponential radius the weighted integrand `e^{⟪z,x⟫} g(x)` is integrable. -/
theorem integrable_exp_inner_smul_of_lt {F : Type*} [NormedAddCommGroup F]
    [NormedSpace ℝ F] (μ : Measure E) {g : E → F}
    (hg : AEStronglyMeasurable g μ) {r : ℝ}
    (hgi : ∀ t < r, Integrable (fun x => Real.exp (t * ‖x‖) * ‖g x‖) μ)
    {z : E} (hz : ‖z‖ < r) : Integrable (fun x => Real.exp ⟪z, x⟫ • g x) μ := by
  refine (hgi ‖z‖ hz).mono' ?_ ?_
  · exact (by fun_prop : Continuous (fun x : E => Real.exp ⟪z, x⟫)).aestronglyMeasurable.smul hg
  · filter_upwards [] with x
    rw [norm_smul, Real.norm_of_nonneg (Real.exp_pos _).le]
    gcongr
    exact real_inner_le_norm z x
/-- **All-order derivatives of `z ↦ ∫ e^{⟪z,x⟫} g(x) dμ` inside the exponential radius**: for `‖z‖ < r`,
`D^d(…)(z)(h) = ∫ e^{⟪z,x⟫} ∏_j ⟪x, h_j⟫ g(x) dμ`, given `∫ e^{t‖x‖}‖g‖ < ∞` for all `t < r`. -/
theorem iteratedFDeriv_weightedExp_integral_of_lt {F : Type*} [NormedAddCommGroup F]
    [NormedSpace ℝ F] [CompleteSpace F] (μ : Measure E) {g : E → F}
    (hg : AEStronglyMeasurable g μ) {r : ℝ}
    (hgi : ∀ t < r, Integrable (fun x => Real.exp (t * ‖x‖) * ‖g x‖) μ)
    (d : ℕ) (z : E) (hz : ‖z‖ < r) (h : Fin d → E) :
    iteratedFDeriv ℝ d (fun z => ∫ x, Real.exp ⟪z, x⟫ • g x ∂μ) z h =
      ∫ x, (Real.exp ⟪z, x⟫ * ∏ j, ⟪x, h j⟫) • g x ∂μ := by
  classical
  induction d generalizing g with
  | zero => simp
  | succ d IH =>
    let N : E → F := fun w => ∫ x, Real.exp ⟪w, x⟫ • g x ∂μ
    let a := h (Fin.last d)
    let ev : (E →L[ℝ] F) →L[ℝ] F := ContinuousLinearMap.apply ℝ F a
    let g' : E → F := fun x => weightedExpD g x a
    have hg' : AEStronglyMeasurable g' μ :=
      ev.continuous.comp_aestronglyMeasurable (weightedExpD_meas hg)
    have hgi' : ∀ t < r, Integrable (fun x => Real.exp (t * ‖x‖) * ‖g' x‖) μ := by
      intro t htr
      refine ((weightedExpD_integrable_lt hg hgi t htr).const_mul ‖a‖).mono' ?_ ?_
      · exact (by fun_prop : Continuous (fun x : E => Real.exp (t * ‖x‖))).aestronglyMeasurable.mul hg'.norm
      · filter_upwards [] with x
        rw [Real.norm_of_nonneg (by positivity)]
        calc
          Real.exp (t * ‖x‖) * ‖g' x‖ ≤
              Real.exp (t * ‖x‖) * (‖weightedExpD g x‖ * ‖a‖) := by
            gcongr
            exact (weightedExpD g x).le_opNorm a
          _ = ‖a‖ * (Real.exp (t * ‖x‖) * ‖weightedExpD g x‖) := by ring
    have hzmem : z ∈ Metric.ball (0 : E) r := by simpa using hz
    have hball : Metric.ball (0 : E) r ∈ 𝓝 z := Metric.isOpen_ball.mem_nhds hzmem
    have hN : ContDiffAt ℝ ∞ N z :=
      (weighted_integral_contDiffOn μ hg hgi).contDiffAt hball
    have heval : ev ∘ fderiv ℝ N =ᶠ[𝓝 z]
        fun w => ∫ x, Real.exp ⟪w, x⟫ • g' x ∂μ := by
      filter_upwards [hball] with w hw
      have hw' : ‖w‖ < r := by simpa using hw
      rw [Function.comp_apply, (weightedExp_integral_hasFDerivAt_of_lt μ hg hgi hw').fderiv]
      change (∫ x, Real.exp ⟪w, x⟫ • weightedExpD g x ∂μ) a = _
      rw [ContinuousLinearMap.integral_apply
        (integrable_exp_inner_smul_of_lt μ (weightedExpD_meas hg) (weightedExpD_integrable_lt hg hgi) hw')]
      rfl
    have hevalD : iteratedFDeriv ℝ d (ev ∘ fderiv ℝ N) z =
        iteratedFDeriv ℝ d (fun w => ∫ x, Real.exp ⟪w, x⟫ • g' x ∂μ) z := by
      have heval' : ev ∘ fderiv ℝ N =ᶠ[𝓝[Set.univ] z]
          fun w => ∫ x, Real.exp ⟪w, x⟫ • g' x ∂μ := by simpa using heval
      simpa only [iteratedFDerivWithin_univ] using
        heval'.iteratedFDerivWithin_eq heval.self_of_nhds d
    rw [iteratedFDeriv_succ_apply_right]
    change ev (iteratedFDeriv ℝ d (fderiv ℝ N) z (Fin.init h)) = _
    calc
      ev (iteratedFDeriv ℝ d (fderiv ℝ N) z (Fin.init h)) =
          iteratedFDeriv ℝ d (ev ∘ fderiv ℝ N) z (Fin.init h) := by
        have hN' : ContDiffAt ℝ ∞ (fderiv ℝ N) z := hN.fderiv_right (by simp)
        have H := ev.iteratedFDeriv_comp_left hN' (i := d)
          (by exact_mod_cast le_top (a := (d : ℕ∞)))
        exact (congrArg (fun T => T (Fin.init h)) H).symm
      _ = ∫ x, (Real.exp ⟪z, x⟫ * ∏ j, ⟪x, Fin.init h j⟫) • g' x ∂μ := by
        rw [hevalD]
        exact IH hg' hgi' (Fin.init h)
      _ = ∫ x, (Real.exp ⟪z, x⟫ * ∏ j, ⟪x, h j⟫) • g x ∂μ := by
        apply integral_congr_ae
        filter_upwards [] with x
        simp only [g', weightedExpD, ContinuousLinearMap.smulRight_apply,
          innerSL_apply_apply, smul_smul]
        rw [Fin.prod_univ_castSucc]
        simp only [a, Fin.init_def, mul_assoc]
/-- The `d`-th derivative of the Laplace transform at `0` is the degree-`d` moment tensor
`h ↦ ∫ ∏_j ⟪x, h_j⟫ dμ`, given one exponential moment `∫ e^{r‖x‖} dμ < ∞`. -/
theorem iteratedFDeriv_laplace_zero (μ : Measure E) [IsProbabilityMeasure μ]
    {r : ℝ} (hr : 0 < r) (hexp : Integrable (fun x => Real.exp (r * ‖x‖)) μ)
    (d : ℕ) (h : Fin d → E) :
    iteratedFDeriv ℝ d (fun z => ∫ x, Real.exp ⟪z, x⟫ ∂μ) 0 h =
      ∫ x, ∏ j, ⟪x, h j⟫ ∂μ := by
  have hgi : ∀ t < r, Integrable (fun x : E => Real.exp (t * ‖x‖) * ‖(1 : ℝ)‖) μ := by
    intro t ht
    refine hexp.mono' (by fun_prop) ?_
    filter_upwards [] with x
    simp only [norm_one, mul_one, Real.norm_of_nonneg (Real.exp_pos _).le]
    exact Real.exp_le_exp.2 (mul_le_mul_of_nonneg_right ht.le (norm_nonneg x))
  simpa only [smul_eq_mul, mul_one, inner_zero_left, Real.exp_zero, one_mul] using
    iteratedFDeriv_weightedExp_integral_of_lt μ measurable_const.aestronglyMeasurable hgi d 0
      (by simpa using hr) h
omit [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E] in
 theorem moment_product_norm_le (d : ℕ) (h : Fin d → E) (x : E) :
    ‖∏ j, ⟪x, h j⟫‖ ≤ ‖x‖ ^ d * ∏ j, ‖h j‖ := by
  rw [norm_prod]
  calc
    ∏ j, ‖⟪x, h j⟫‖ ≤ ∏ j, ‖x‖ * ‖h j‖ := by
      apply Finset.prod_le_prod
      · intro j _; exact norm_nonneg _
      · intro j _; exact norm_inner_le_norm _ _
    _ = ‖x‖ ^ d * ∏ j, ‖h j‖ := by rw [Finset.prod_mul_distrib]; simp
omit [InnerProductSpace ℝ E] [FiniteDimensional ℝ E] in
 theorem norm_moment_integrable (μ : Measure E) [IsProbabilityMeasure μ]
    {r : ℝ} (hr : 0 < r) (hexp : Integrable (fun x => Real.exp (r * ‖x‖)) μ) (d : ℕ) :
    Integrable (fun x : E => ‖x‖ ^ d) μ := by
  have hneg : Integrable (fun x : E => Real.exp (-r * ‖x‖)) μ := by
    refine (integrable_const (1 : ℝ)).mono' (by fun_prop) ?_
    filter_upwards [] with x
    rw [Real.norm_of_nonneg (Real.exp_pos _).le]
    exact Real.exp_le_one_iff.2 (mul_nonpos_of_nonpos_of_nonneg (neg_nonpos.2 hr.le) (norm_nonneg x))
  simpa only [abs_norm] using
    ProbabilityTheory.integrable_pow_abs_of_integrable_exp_mul hr.ne' hexp hneg d
/-- `‖D^d L_μ(0)‖ ≤ ∫ ‖x‖^d dμ` (operator norm; `d = 0` gives `1`). -/
theorem norm_iteratedFDeriv_laplace_zero_le (μ : Measure E) [IsProbabilityMeasure μ]
    {r : ℝ} (hr : 0 < r) (hexp : Integrable (fun x => Real.exp (r * ‖x‖)) μ) (d : ℕ) :
    ‖iteratedFDeriv ℝ d (fun z => ∫ x, Real.exp ⟪z, x⟫ ∂μ) 0‖ ≤ ∫ x, ‖x‖ ^ d ∂μ := by
  have hm : Integrable (fun x : E => ‖x‖ ^ d) μ :=
    FunctionalInequalities.Analysis.BakryEmery.norm_moment_integrable μ hr hexp d
  apply ContinuousMultilinearMap.opNorm_le_bound (integral_nonneg fun x => pow_nonneg (norm_nonneg x) d)
  intro h
  rw [iteratedFDeriv_laplace_zero μ hr hexp d h]
  have hpi : Integrable (fun x : E => ∏ j, ⟪x, h j⟫) μ :=
    (hm.mul_const (∏ j, ‖h j‖)).mono' (by fun_prop)
      (ae_of_all _ fun x => FunctionalInequalities.Analysis.BakryEmery.moment_product_norm_le d h x)
  calc
    ‖∫ x, ∏ j, ⟪x, h j⟫ ∂μ‖ ≤ ∫ x, ‖∏ j, ⟪x, h j⟫‖ ∂μ := norm_integral_le_integral_norm _
    _ ≤ ∫ x, ‖x‖ ^ d * ∏ j, ‖h j‖ ∂μ :=
      integral_mono hpi.norm (hm.mul_const _) (fun x => FunctionalInequalities.Analysis.BakryEmery.moment_product_norm_le d h x)
    _ = (∫ x, ‖x‖ ^ d ∂μ) * ∏ j, ‖h j‖ := integral_mul_const _ _
end BakryEmery
end Analysis
end FunctionalInequalities
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/BakryEmery/Tilt/LocalDerivatives.lean#L23-L164 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.BakryEmery.Tilt.LocalDerivatives`, definition bundle `KLSModular_FunctionalInequalities_Analysis_BakryEmery_Tilt_LocalDerivatives`; the repository is private at upload time).

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