Moment Generating Function of the Laplace Measure
ProvedFunctionalInequalities.Probability.Line.laplaceMeasure_mgf_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This lemma states the moment generating function of the Laplace measure within the indicated parameter range.
Let satisfy and . Let laplaceMeasure , the measure on with Lebesgue density . Then
where is ProbabilityTheory.mgf applied to the identity random variable.
This gives a law-level exponential-integrability and transform formula, restricted to .
Original Lean declaration header
Within namespace FunctionalInequalities.Probability.Line. Shown in its original module context. Proof omitted.
theorem laplaceMeasure_mgf {β w : ℝ} (hβ : 0 < β) (hw : |w| < β) :
Integrable (fun s : ℝ => Real.exp (w * s)) (laplaceMeasure β) ∧
mgf id (laplaceMeasure β) w = β ^ 2 / (β ^ 2 - w ^ 2)
Module navigation
Module: Probability/Line/Laplace.
Supporting theorems: integral_exp_mul_laplaceDensity.
Previous: integral_exp_mul_laplaceDensity.
Source excerpt, lines 237–239 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_Line_Laplace open MeasureTheory open ProbabilityTheory Filter Set
Formal statement
theorem FunctionalInequalities.Probability.Line.laplaceMeasure_mgf_readable {β w : ℝ} (hβ : 0 < β) (hw : |w| < β) :
Integrable (fun s : ℝ => Real.exp (w * s)) (laplaceMeasure β) ∧
mgf id (laplaceMeasure β) w = β ^ 2 / (β ^ 2 - w ^ 2) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Probability/Line/Laplace.lean#L236-L256 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.Line.Laplace`, declaration `FunctionalInequalities.Probability.Line.laplaceMeasure_mgf`; the repository is private at upload time).