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Ergodic Decay Of The Centered Heat Evolution

Proved
FunctionalInequalities.KLS.LogConcave.tendsto_norm_center_apply_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This statement proves ergodicity of the heat semigroup in centered norm.

Let VVV, ν\nuν, mmm, and UUU satisfy the heat-model assumptions, with ν=m.tilted⁡(−U)\nu=m.\operatorname{tilted}(-U)ν=m.tilted(−U) and U∈C2U\in C^2U∈C2. For every u∈L2(ν)u\in L^2(\nu)u∈L2(ν),

∥center⁡ν(Ptu)∥⟶0as t→∞.\left\|\operatorname{center}_\nu(P_tu)\right\|\longrightarrow0 \qquad\text{as }t\to\infty.∥centerν​(Pt​u)∥⟶0as t→∞.

Here PtP_tPt​ is the semigroup generated by the closed weighted gradient operator.

This supplies the ergodicity hypothesis required by the curvature-to-Poincaré interface and applies to every L2(ν)L^2(\nu)L2(ν) input, not only operator-domain inputs.

Formalization Note. The limit is formulated as a filter limit along real t→+∞t\to+\inftyt→+∞; the conclusion concerns the norm of the centered class.

Original Lean declaration header

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

theorem tendsto_norm_center_apply (u : Lp ℝ 2 (ν : Measure V)) :
    Tendsto (fun t : ℝ => ‖L2.center ν (Generated.apply
      (hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi)
      (hν.closedWeightedOperator_isClosed m (ContinuousLinearMap.id ℝ V) hi)
      (hν.dense_domain_closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi) t u)‖)
      atTop (𝓝 0)

Module navigation

Module: KLS/LogConcave/HeatSemigroup/Curvature.

Definition modules: KLS/LogConcave/WeightedGradient/Closure, Probability/LogConcave, Analysis/Semigroup/Generated/Basic, L2/MeanVariance.

Supporting theorems: mem_closure_range_of_inner_eq_zero, tendsto_apply_of_mem_closure_range, closedWeightedOperator_one_eq_zero, inner_center_eq_zero_of_closedWeightedOperator_eq_zero.

Previous: inner_center_eq_zero_of_closedWeightedOperator_eq_zero.

Source excerpt, lines 572–577 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_HeatSemigroup_Curvature

open MeasureTheory Filter Topology InnerProductSpace
open FunctionalInequalities.Analysis.Semigroup FunctionalInequalities.Analysis.BakryEmery
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
Formal statement

theorem FunctionalInequalities.KLS.LogConcave.tendsto_norm_center_apply_readable (u : Lp ℝ 2 (ν : Measure V)) :
    Tendsto (fun t : ℝ => ‖L2.center ν (Generated.apply
      (hν.closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi)
      (hν.closedWeightedOperator_isClosed m (ContinuousLinearMap.id ℝ V) hi)
      (hν.dense_domain_closedWeightedOperator m (ContinuousLinearMap.id ℝ V) hi) t u)‖)
      atTop (𝓝 0) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/LogConcave/HeatSemigroup/Curvature.lean#L570-L619 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.LogConcave.HeatSemigroup.Curvature`, declaration `FunctionalInequalities.KLS.LogConcave.tendsto_norm_center_apply`; the repository is private at upload time).

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