Distance From Partial Symmetrization
ProvedFunctionalInequalities.KLS.LogConcave.PoissonIterate.normSq_sub_symField_le_readableThis formalizes BKL Lemma 3.3, Equation (44), p. 12.
Let be a field with indices and let . Let be the average over permutations of the first positions, and let swap positions and . Then
The squared norm is the field quantity normSq, and the sum is over the finite set of admissible adjacent positions.
This is the combinatorial symmetrization estimate used in the approximate symmetry of Poisson iterates.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.LogConcave.PoissonIterate. Shown in its original module context. Proof omitted.
theorem normSq_sub_symField_le {q : ℕ} (hq : q ≤ k) (u : Field ν k) :
normSq (u - symField q u) ≤
(q : ℝ) ^ 4 * ∑ ℓ ∈ univ.filter (fun ℓ : Fin k => ℓ.val + 1 < q),
normSq (u - permField (Equiv.swap ℓ (finRotate k ℓ)) u)
Module navigation
Module: KLS/BKL/PoissonIterate/Permutation.
Definition modules: KLS/BKL/PoissonIterate/Basic.
Supporting theorems: sqrt_normSq_sub_permField_le_of_adjacent.
Previous: sqrt_normSq_sub_permField_le_of_adjacent.
Source excerpt, lines 314–317 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_PoissonIterate_Permutation
open MeasureTheory Finset
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MeasurableSpace V]
{ν : MeasureTheory.ProbabilityMeasure V} {k : ℕ}
theorem FunctionalInequalities.KLS.LogConcave.PoissonIterate.normSq_sub_symField_le_readable {q : ℕ} (hq : q ≤ k) (u : Field ν k) :
normSq (u - symField q u) ≤
(q : ℝ) ^ 4 * ∑ ℓ ∈ univ.filter (fun ℓ : Fin k => ℓ.val + 1 < q),
normSq (u - permField (Equiv.swap ℓ (finRotate k ℓ)) u) := by sorry