Ergodic Decay Of The Centered Heat Evolution
ProvedFunctionalInequalities.KLS.LogConcave.tendsto_norm_center_apply_readableThis statement proves ergodicity of the heat semigroup in centered norm.
Let , , , and satisfy the heat-model assumptions, with and . For every ,
Here 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 input, not only operator-domain inputs.
Formalization Note. The limit is formulated as a filter limit along real ; 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)
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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.
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
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