Existence of an Exponential Norm Moment
ProvedFunctionalInequalities.KLS.BorelLogConcave.exists_integrable_exp_norm_readableThis establishes an exponential moment for a Borel log-concave probability law.
Let be a real normed space with Borel measurable structure, and let be a BorelLogConcave probability measure on . Then there exists such that
Equivalently, the function is integrable with respect to . No finite-dimensionality assumption appears in the Lean type beyond the stated typeclass assumptions. This supplies exponential integrability for later moment arguments.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.BorelLogConcave. Shown in its original module context. Proof omitted.
theorem exists_integrable_exp_norm {ν : ProbabilityMeasure V}
(hν : BorelLogConcave ν) :
∃ t : ℝ, 0 < t ∧ Integrable (fun v ↦ Real.exp (t * ‖v‖)) (ν : Measure V)
Module navigation
Module: KLS/LogConcave/Density/BorellRepresentation/Moments.
Definition modules: KLS/LogConcave/Borel.
Source excerpt, lines 112–114 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_Density_BorellRepresentation_Moments
open MeasureTheory Set Topology Filter
variable {V : Type*} [NormedAddCommGroup V] [NormedSpace ℝ V] [MeasurableSpace V] [BorelSpace V]
[FiniteDimensional ℝ V]
omit [FiniteDimensional ℝ V]
theorem FunctionalInequalities.KLS.BorelLogConcave.exists_integrable_exp_norm_readable {ν : ProbabilityMeasure V}
(hν : BorelLogConcave ν) :
∃ t : ℝ, 0 < t ∧ Integrable (fun v ↦ Real.exp (t * ‖v‖)) (ν : Measure V) := by sorry