Local-Slope Constant Bound From the Intrinsic Covariance Constant
ProvedFunctionalInequalities.KLS.LogConcave.localSlope_le_mul_intrinsicCovariance_readableThis is a comparison between two intrinsic Poincaré constants of a log-concave probability law.
Let be a finite-dimensional complete real inner product space with its Borel measurable structure and a second-countable topology. Let be a log-concave probability measure (KLS.LogConcave), and let satisfy
Here denotes Poincare.CovarianceGradient.Intrinsic.constant. Write for Poincare.LocalSlope.Intrinsic.constant and for the covariance operator Covariance.operator.
Then
This comparison transfers a finite covariance-gradient bound to a literature local-slope bound for the same law.
Formalization Note Both constants and the displayed product take values in (ENNReal); is supplied as NNReal and coerced to ENNReal. No isotropy or positive-dimension hypothesis is imposed.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.LogConcave. Shown in its original module context. Proof omitted.
theorem localSlope_le_mul_intrinsicCovariance {μ : ProbabilityMeasure E}
(hμ : LogConcave μ) {K : NNReal} (hK : Poincare.CovarianceGradient.Intrinsic.constant μ ≤ (K : ENNReal)) :
Poincare.LocalSlope.Intrinsic.constant μ ≤ (K : ENNReal) * ENNReal.ofReal ‖Covariance.operator (μ : Measure E)‖
Module navigation
Module: KLS/LogConcave/Isotropic.
Definition modules: Probability/Covariance/Basic, Poincare/CovarianceGradient/Intrinsic, Probability/LogConcave, Poincare/LocalSlope/Basic.
Selected supporting theorems: opNorm_operator_intrinsic, relaxation_le_mul_lipschitz, exists_ambient_extension, memLp_id_two, Holds.of_energy_le_mul.
Previous: exists_isotropic_localSlope_constant_eq.
Source excerpt, lines 256–258 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_Isotropic
open MeasureTheory Filter Topology InnerProductSpace
universe u
variable {E : Type u} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [CompleteSpace E]
[MeasurableSpace E] [BorelSpace E] [SecondCountableTopology E] [FiniteDimensional ℝ E]
theorem FunctionalInequalities.KLS.LogConcave.localSlope_le_mul_intrinsicCovariance_readable {μ : ProbabilityMeasure E}
(hμ : LogConcave μ) {K : NNReal} (hK : Poincare.CovarianceGradient.Intrinsic.constant μ ≤ (K : ENNReal)) :
Poincare.LocalSlope.Intrinsic.constant μ ≤ (K : ENNReal) * ENNReal.ofReal ‖Covariance.operator (μ : Measure E)‖ := by sorry