Unique Centered Generator Preimage
ProvedFunctionalInequalities.KLS.LogConcave.existsUnique_centered_adjointComp_eq_readableThis formalizes the existence-and-uniqueness part of Lemma 2.1 of Bizeul–Klartag–Lehec (arXiv:2610.05474v1), p. 7.
Let be a finite-dimensional real inner-product space, let be an additive Haar measure, and let be a log-concave probability measure with nonempty interior support. Assume that for a function . Let satisfy . For every centered , there exists exactly one element in the domain of the adjoint composition of the closed weighted operator such that is centered and its adjoint composition equals :
The uniqueness is among domain elements satisfying both displayed conditions.
This provides the centered inverse of the generator for subsequent operator-domain constructions.
Formalization Note: L2.mean expresses centering, and equality of the adjoint composition is equality in the space. The Poincaré comparison is between the ENNReal intrinsic constant and the coercion of .
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.LogConcave. Shown in its original module context. Proof omitted.
theorem existsUnique_centered_adjointComp_eq {C : NNReal}
(hC : Poincare.LocalSlope.Intrinsic.constant ν ≤ (C : ENNReal))
(g : Lp ℝ 2 (ν : Measure V)) (hg : L2.mean ν g = 0) :
∃! u : (adjointComp (hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi)).domain,
L2.mean ν (u : Lp ℝ 2 (ν : Measure V)) = 0 ∧
adjointComp (hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi) u = g
Module navigation
Module: KLS/LogConcave/HeatSemigroup/Inverse.
Definition modules: KLS/LogConcave/WeightedGradient/Closure, L2/MeanVariance, Analysis/Semigroup/AdjointComp, Probability/LogConcave, Poincare/LocalSlope/Basic.
Supporting theorems: eq_of_adjointComp_eq, exists_adjointComp_eq_of_gap, closedWeightedOperator_id_gap_of_literature_le, orthogonal_ker_iff_mean_eq_zero.
Previous: orthogonal_ker_iff_mean_eq_zero · Next: centered_adjointComp_bounds.
Source excerpt, lines 105–110 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_HeatSemigroup_Inverse
open MeasureTheory
open FunctionalInequalities.Analysis.Semigroup FunctionalInequalities.Analysis.Semigroup.Generated
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [CompleteSpace V]
[MeasurableSpace V] [BorelSpace V] [SecondCountableTopology V] [FiniteDimensional ℝ V]
{ν : MeasureTheory.ProbabilityMeasure V} (m : MeasureTheory.Measure V) [m.IsAddHaarMeasure] (hν : FunctionalInequalities.KLS.LogConcave ν)
(hi : (interior (ν : MeasureTheory.Measure V).support).Nonempty) {U : V → ℝ}
(hνU : (ν : MeasureTheory.Measure V) = m.tilted (-U)) (hU : ContDiff ℝ 2 U)
include hνU hU
theorem FunctionalInequalities.KLS.LogConcave.existsUnique_centered_adjointComp_eq_readable {C : NNReal}
(hC : Poincare.LocalSlope.Intrinsic.constant ν ≤ (C : ENNReal))
(g : Lp ℝ 2 (ν : Measure V)) (hg : L2.mean ν g = 0) :
∃! u : (adjointComp (hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi)).domain,
L2.mean ν (u : Lp ℝ 2 (ν : Measure V)) = 0 ∧
adjointComp (hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi) u = g := by sorry