Gaussian Exponential Norm Integrability
ProvedFunctionalInequalities.KLS.LogConcave.GaussianSmoothing.gaussianLaw_exp_norm_integrable_readableThis is a moment estimate for the Gaussian law gaussianLaw.
Let be a finite-dimensional real inner-product space with Borel measurable structure, let satisfy , and let denote gaussianLaw s. Then
Equivalently, is integrable with respect to . Completeness of is omitted from the declaration. This estimate supplies exponential integrability for Gaussian Laplace-transform and moment calculations.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.LogConcave.GaussianSmoothing. Shown in its original module context. Proof omitted.
theorem gaussianLaw_exp_norm_integrable {s : ℝ} (hs : 0 < s) :
Integrable (fun y : E => Real.exp ‖y‖) (gaussianLaw s)
Module navigation
Module: KLS/LogConcave/Density/GaussianSmoothing/Moments.
Definition modules: KLS/LogConcave/Density/GaussianSmoothing/Basic.
Next: gaussianLaw_laplace.
Source excerpt, lines 42–43 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_Density_GaussianSmoothing_Moments
open MeasureTheory ProbabilityTheory Filter Topology
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
[CompleteSpace E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
omit [CompleteSpace E]
theorem FunctionalInequalities.KLS.LogConcave.GaussianSmoothing.gaussianLaw_exp_norm_integrable_readable {s : ℝ} (hs : 0 < s) :
Integrable (fun y : E => Real.exp ‖y‖) (gaussianLaw s) := by sorry