First and Second Integral Convergence Under Scaled Cutoffs
ProvedFunctionalInequalities.Poincare.SmoothTest.tendsto_integral_scaled_mul_readableThis statement gives convergence of the first and second integrals of cutoff products.
Let be a real inner product space with its Borel measurable structure, let be a finite measure on , and let satisfy MemLp f 2 μ, including almost-everywhere strong measurability and finite seminorm. Write for Energy.Euclidean.LipschitzApproximation.scaled R.
Both limits hold as tends to infinity:
These two scalar convergence statements support variance approximation by cutoff functions.
Formalization Note Neither completeness nor finite dimensionality of is assumed here. The conclusion is a conjunction of integral limits, not a statement of -norm convergence.
Original Lean declaration header
Within namespace FunctionalInequalities.Poincare.SmoothTest. Shown in its original module context. Proof omitted.
theorem tendsto_integral_scaled_mul {μ : Measure E} [IsFiniteMeasure μ] {f : E → ℝ}
(hf : MemLp f 2 μ) :
Tendsto (fun n : ℕ => ∫ x, Energy.Euclidean.LipschitzApproximation.scaled ((n : ℝ) + 1) x * f x ∂μ)
atTop (𝓝 (∫ x, f x ∂μ)) ∧
Tendsto (fun n : ℕ =>
∫ x, (Energy.Euclidean.LipschitzApproximation.scaled ((n : ℝ) + 1) x * f x) ^ 2 ∂μ)
atTop (𝓝 (∫ x, f x ^ 2 ∂μ))
Module navigation
Module: Poincare/SmoothTest/WeakLimit.
Definition modules: Analysis/Cutoff/SmoothBall.
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Source excerpt, lines 201–207 · Frozen source 408915f.
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]
omit [CompleteSpace E] [FiniteDimensional ℝ E]
theorem FunctionalInequalities.Poincare.SmoothTest.tendsto_integral_scaled_mul_readable {μ : Measure E} [IsFiniteMeasure μ] {f : E → ℝ}
(hf : MemLp f 2 μ) :
Tendsto (fun n : ℕ => ∫ x, Energy.Euclidean.LipschitzApproximation.scaled ((n : ℝ) + 1) x * f x ∂μ)
atTop (𝓝 (∫ x, f x ∂μ)) ∧
Tendsto (fun n : ℕ =>
∫ x, (Energy.Euclidean.LipschitzApproximation.scaled ((n : ℝ) + 1) x * f x) ^ 2 ∂μ)
atTop (𝓝 (∫ x, f x ^ 2 ∂μ)) := by sorry