Finite Ambient Second Moment
ProvedFunctionalInequalities.KLS.LogConcave.memLp_id_two_readableThis formalizes the finite-second-moment part of the literature statement on moments of log-concave laws, cited in Section 1 of Klartag–Lehec (2022).
Let be a finite-dimensional real inner-product space equipped with its measurable Borel structure and second-countable topology, and let be a log-concave probability measure on . No completeness assumption is required in the declaration.
Then the identity map has finite norm:
Equivalently, the ambient second moment of is finite. The result is useful for defining the barycenter and covariance of a log-concave law; it does not state a Poincaré inequality or any KLS bound.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.LogConcave. Shown in its original module context. Proof omitted.
theorem memLp_id_two (hμ : LogConcave μ) : MemLp id 2 (μ : Measure E)
Module navigation
Module: KLS/LogConcave/Translation.
Definition modules: Probability/LogConcave.
Supporting theorems: exists_integrable_exp_norm.
Source excerpt, lines 53–53 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_Translation
open MeasureTheory Filter Topology
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [CompleteSpace E]
[MeasurableSpace E] [BorelSpace E] [SecondCountableTopology E] [FiniteDimensional ℝ E]
{μ : MeasureTheory.ProbabilityMeasure E}
omit [CompleteSpace E]
theorem FunctionalInequalities.KLS.LogConcave.memLp_id_two_readable (hμ : LogConcave μ) : MemLp id 2 (μ : Measure E) := by sorry