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Energy Convergence of Scaled Cutoff Products

Proved
FunctionalInequalities.Poincare.SmoothTest.tendsto_energy_scaled_mul_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This statement gives convergence of smooth-test energies under the designated expanding cutoffs.

Let EEE be a finite-dimensional complete real inner product space with its Borel measurable structure and μ\muμ a finite measure. Let f:E→Rf:E\to\mathbb Rf:E→R be admissible (Poincare.SmoothTest.Admissible): fff is C∞C^\inftyC∞, belongs to L2(μ)L^2(\mu)L2(μ), and ∥∇f∥2\|\nabla f\|^2∥∇f∥2 is integrable. For R>0R>0R>0, let χR\chi_RχR​ denote Energy.Euclidean.LipschitzApproximation.scaled R. Define the energy (Poincare.SmoothTest.energy) by Eμ(g)=∫∥∇g∥2 dμ\mathcal E_\mu(g)=\int\|\nabla g\|^2\,d\muEμ​(g)=∫∥∇g∥2dμ.

As n∈Nn\in\mathbb Nn∈N tends to infinity,

Eμ(χn+1f)⟶Eμ(f).\mathcal E_\mu(\chi_{n+1}f)\longrightarrow\mathcal E_\mu(f).Eμ​(χn+1​f)⟶Eμ​(f).

This is an energy approximation statement for extending inequalities from compactly supported smooth tests to admissible tests. The energy has no factor of 1/21/21/2.

Original Lean declaration header

Within namespace FunctionalInequalities.Poincare.SmoothTest. Shown in its original module context. Proof omitted.

theorem tendsto_energy_scaled_mul {μ : Measure E} [IsFiniteMeasure μ] {f : E → ℝ}
    (hf : Admissible μ f) :
    Tendsto (fun n : ℕ =>
        energy μ (fun x => Energy.Euclidean.LipschitzApproximation.scaled ((n : ℝ) + 1) x * f x))
      atTop (𝓝 (energy μ f))

Module navigation

Module: Poincare/SmoothTest/WeakLimit.

Definition modules: Analysis/Cutoff/SmoothBall, Poincare/SmoothTest/Basic.

Supporting theorems: norm_gradient_scaled_mul_sq_le.

Previous: norm_gradient_scaled_mul_sq_le · Next: Holds.of_compactSupport.

Source excerpt, lines 422–426 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Poincare_SmoothTest_WeakLimit

open MeasureTheory ProbabilityTheory Filter Topology
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [CompleteSpace E]
  [MeasurableSpace E] [BorelSpace E]
variable [FiniteDimensional ℝ E]
Formal statement

theorem FunctionalInequalities.Poincare.SmoothTest.tendsto_energy_scaled_mul_readable {μ : Measure E} [IsFiniteMeasure μ] {f : E → ℝ}
    (hf : Admissible μ f) :
    Tendsto (fun n : ℕ =>
        energy μ (fun x => Energy.Euclidean.LipschitzApproximation.scaled ((n : ℝ) + 1) x * f x))
      atTop (𝓝 (energy μ f)) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Poincare/SmoothTest/WeakLimit.lean#L421-L528 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Poincare.SmoothTest.WeakLimit`, declaration `FunctionalInequalities.Poincare.SmoothTest.tendsto_energy_scaled_mul`; the repository is private at upload time).

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