Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

Interior Regularity Of Deficiency Elements

Proved
FunctionalInequalities.KLS.LogConcave.toLp_mul_mem_closedWeightedOperator_domain_of_orthogonal_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This theorem establishes local form-domain membership for deficiency elements.

Let VVV be finite-dimensional, let mmm be an additive Haar measure, let ν\nuν be log-concave with nonempty interior support, and let U∈C1(V)U\in C^1(V)U∈C1(V) satisfy ν=m.tilted⁡(−U)\nu=m.\operatorname{tilted}(-U)ν=m.tilted(−U). Let u∈L2(ν)u\in L^2(\nu)u∈L2(ν) satisfy

⟨Af,u⟩+⟨f,u⟩=0\langle Af,u\rangle+\langle f,u\rangle=0⟨Af,u⟩+⟨f,u⟩=0

for every smooth compactly supported fff, where A=T‾†T‾A=\overline{T}^{\dagger}\overline{T}A=T†T and T‾\overline{T}T is the closed unit-weight gradient. Then for every smooth compactly supported χ\chiχ, the class of χu\chi uχu belongs to D(T‾)D(\overline{T})D(T):

[χu]∈D ⁣(T‾ν,m,I).[\chi u]\in D\!\left(\overline{T}_{\nu,m,I}\right).[χu]∈D(Tν,m,I​).

The class is formed with memLp_mul_of_contDiff_hasCompactSupport and toLp. This is the local regularity hypothesis used by the operator-core criterion; it does not assert that uuu itself has a global weak gradient.

Original Lean declaration header

Within namespace FunctionalInequalities.KLS.LogConcave. Shown in its original module context. Proof omitted.

theorem toLp_mul_mem_closedWeightedOperator_domain_of_orthogonal
    (hνU : (ν : Measure V) = m.tilted (-U)) (hU : ContDiff ℝ 1 U) (u : Lp ℝ 2 (ν : Measure V))
    (horth : ∀ (f : V → ℝ) (hf : ContDiff ℝ ∞ f) (hfc : HasCompactSupport f),
      ⟪(adjointComp (hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi)
          ⟨_, hν.toLp_mem_adjointComp_domain m hi hνU hU hf hfc⟩ : Lp ℝ 2 (ν : Measure V)), u⟫ +
        ⟪((memLp_of_contDiff_hasCompactSupport ν hf hfc).toLp f : Lp ℝ 2 (ν : Measure V)), u⟫ = 0)
    {χ : V → ℝ} (hχ : ContDiff ℝ ∞ χ) (hχc : HasCompactSupport χ) :
    (memLp_mul_of_contDiff_hasCompactSupport (ν := ν) hχ hχc u).toLp _ ∈
      (hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi).domain

Module navigation

Module: KLS/LogConcave/HeatSemigroup/InteriorRegularity.

Definition modules: KLS/LogConcave/WeightedGradient/Closure, KLS/LogConcave/HeatSemigroup/Generator, Analysis/Semigroup/AdjointComp, Probability/LogConcave, Energy/WeightedGradient/Core, KLS/LogConcave/WeightedGradient/Multiplier.

Supporting theorems: lintegral_enorm_convolution_sq_le, tendsto_eLpNorm_convolution_sub, integral_laplacian_mul_convolution_eq, integral_laplacian_mul_tiltedDensity_mul, norm_toLp_smul_gradient_le.

Previous: integral_laplacian_mul_tiltedDensity_mul.

Source excerpt, lines 555–563 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_HeatSemigroup_InteriorRegularity

open MeasureTheory Filter Topology Metric InnerProductSpace
open FunctionalInequalities.Analysis.Semigroup FunctionalInequalities.Analysis.BakryEmery
open scoped ContDiff RealInnerProductSpace Convolution ENNReal
open FunctionalInequalities.Energy FunctionalInequalities.Energy.WeightedGradient
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [CompleteSpace V]
  [MeasurableSpace V] [BorelSpace V] [SecondCountableTopology V] [FiniteDimensional ℝ V]
variable {ν : MeasureTheory.ProbabilityMeasure V} (m : MeasureTheory.Measure V) [m.IsAddHaarMeasure] {U : V → ℝ}
variable (hν : FunctionalInequalities.KLS.LogConcave ν) (hi : (interior (ν : MeasureTheory.Measure V).support).Nonempty)
Formal statement

theorem FunctionalInequalities.KLS.LogConcave.toLp_mul_mem_closedWeightedOperator_domain_of_orthogonal_readable
    (hνU : (ν : Measure V) = m.tilted (-U)) (hU : ContDiff ℝ 1 U) (u : Lp ℝ 2 (ν : Measure V))
    (horth : ∀ (f : V → ℝ) (hf : ContDiff ℝ ∞ f) (hfc : HasCompactSupport f),
      ⟪(adjointComp (hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi)
          ⟨_, hν.toLp_mem_adjointComp_domain m hi hνU hU hf hfc⟩ : Lp ℝ 2 (ν : Measure V)), u⟫ +
        ⟪((memLp_of_contDiff_hasCompactSupport ν hf hfc).toLp f : Lp ℝ 2 (ν : Measure V)), u⟫ = 0)
    {χ : V → ℝ} (hχ : ContDiff ℝ ∞ χ) (hχc : HasCompactSupport χ) :
    (memLp_mul_of_contDiff_hasCompactSupport (ν := ν) hχ hχc u).toLp _ ∈
      (hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi).domain := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/LogConcave/HeatSemigroup/InteriorRegularity.lean#L540-L962 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.LogConcave.HeatSemigroup.InteriorRegularity`, declaration `FunctionalInequalities.KLS.LogConcave.toLp_mul_mem_closedWeightedOperator_domain_of_orthogonal`; the repository is private at upload time).

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me