Pointwise Lower-Drift Square-Sum Bound
ProvedFunctionalInequalities.KLS.BKL.sqrt_sum_lowerDrift_sq_le_aux_readableThis is the Section 6 pointwise estimate with order parameter .
Let be a compactly supported probability measure on with invertible covariance operator that is strictly positive on nonzero vectors. Let , let , and assume that for every with and every ,
Then for every ,
Here lowerDrift, sigmaBasis, and cumulantEnergy are the formalized quantities. The result supplies the pointwise middle-term estimate used in the cumulant-energy induction.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.BKL. Shown in its original module context. Proof omitted.
theorem sqrt_sum_lowerDrift_sq_le_aux (ν : ProbabilityMeasure (EuclideanSpace ℝ (Fin n)))
(hc : IsCompact (ν : Measure (EuclideanSpace ℝ (Fin n))).support)
(hA : IsUnit (Covariance.operator (ν : Measure (EuclideanSpace ℝ (Fin n)))))
(hApos : ∀ v, v ≠ 0 → 0 < ⟪Covariance.operator (ν : Measure (EuclideanSpace ℝ (Fin n))) v, v⟫)
(k : ℕ) (b : ℕ → ℝ)
(h100 : ∀ r, 2 ≤ r → r < k + 1 → ∀ v : EuclideanSpace ℝ (Fin n),
cumulantEnergy (ν : Measure (EuclideanSpace ℝ (Fin n))) (r - 1) v ≤
b r * ⟪Covariance.operator (ν : Measure (EuclideanSpace ℝ (Fin n))) v, v⟫)
(u : EuclideanSpace ℝ (Fin n)) :
Real.sqrt (∑ J : Fin k → Fin n,
lowerDrift (ν : Measure (EuclideanSpace ℝ (Fin n)))
(Fin.cons u fun i => inverseSqrt (Covariance.operator (ν : Measure (EuclideanSpace ℝ (Fin n))))
(EuclideanSpace.basisFun (Fin n) ℝ (J i)) : Fin (k + 1) → EuclideanSpace ℝ (Fin n)) 0 ^ 2) ≤
∑ a ∈ Finset.Icc 2 (k - 1), (k.choose (a - 1) : ℝ) *
Real.sqrt (b (k + 2 - a) * cumulantEnergy (ν : Measure (EuclideanSpace ℝ (Fin n))) a u)
Module navigation
Module: KLS/BKL/CumulantEnergy/Basic.
Definition modules: Probability/Covariance/Basic, Analysis/Operator/InverseSqrt.
Supporting theorems: sqrt_sum_sq_sum_le, sum_selected_eq, sum_sq_pairTerm_ofFn_le.
Previous: sum_sq_pairTerm_ofFn_le.
Source excerpt, lines 433–447 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_CumulantEnergy_Basic
open MeasureTheory
open FunctionalInequalities.Analysis FunctionalInequalities.Analysis.BakryEmery
open scoped RealInnerProductSpace
variable {n : ℕ}
theorem FunctionalInequalities.KLS.BKL.sqrt_sum_lowerDrift_sq_le_aux_readable (ν : ProbabilityMeasure (EuclideanSpace ℝ (Fin n)))
(hc : IsCompact (ν : Measure (EuclideanSpace ℝ (Fin n))).support)
(hA : IsUnit (Covariance.operator (ν : Measure (EuclideanSpace ℝ (Fin n)))))
(hApos : ∀ v, v ≠ 0 → 0 < ⟪Covariance.operator (ν : Measure (EuclideanSpace ℝ (Fin n))) v, v⟫)
(k : ℕ) (b : ℕ → ℝ)
(h100 : ∀ r, 2 ≤ r → r < k + 1 → ∀ v : EuclideanSpace ℝ (Fin n),
cumulantEnergy (ν : Measure (EuclideanSpace ℝ (Fin n))) (r - 1) v ≤
b r * ⟪Covariance.operator (ν : Measure (EuclideanSpace ℝ (Fin n))) v, v⟫)
(u : EuclideanSpace ℝ (Fin n)) :
Real.sqrt (∑ J : Fin k → Fin n,
lowerDrift (ν : Measure (EuclideanSpace ℝ (Fin n)))
(Fin.cons u fun i => inverseSqrt (Covariance.operator (ν : Measure (EuclideanSpace ℝ (Fin n))))
(EuclideanSpace.basisFun (Fin n) ℝ (J i)) : Fin (k + 1) → EuclideanSpace ℝ (Fin n)) 0 ^ 2) ≤
∑ a ∈ Finset.Icc 2 (k - 1), (k.choose (a - 1) : ℝ) *
Real.sqrt (b (k + 2 - a) * cumulantEnergy (ν : Measure (EuclideanSpace ℝ (Fin n))) a u) := by sorry