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Binomial Partial Symmetrization Bound

Proved
FunctionalInequalities.Analysis.Tensor.norm_le_choose_mul_norm_blockAverage_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

Let Ω\OmegaΩ be finite, let VVV be a real inner-product space, and let ρ\rhoρ be a permutation representation by linear isometries. Let A,B,Q⊆ΩA,B,Q\subseteq\OmegaA,B,Q⊆Ω and d∈Nd\in\mathbb Nd∈N satisfy:

  1. ∣A∣=d|A|=d∣A∣=d and ∣B∣=2d|B|=2d∣B∣=2d.
  2. AAA and BBB are disjoint.
  3. A⊆Q⊆A∪BA\subseteq Q\subseteq A\cup BA⊆Q⊆A∪B.
  4. ∣Q∣=2d|Q|=2d∣Q∣=2d.
  5. v∈Vv\in Vv∈V is invariant under permutations fixing outside AAA and under permutations fixing outside BBB.

Then

∥v∥≤(2dd) ∥blockAverage⁡(ρ,Q,v)∥.\|v\|\le \binom{2d}{d}\,\|\operatorname{blockAverage}(\rho,Q,v)\|.∥v∥≤(d2d​)∥blockAverage(ρ,Q,v)∥.

This is the stronger binomial-factor version of the partial symmetrization estimate.

Original Lean declaration header

Within namespace FunctionalInequalities.Analysis.Tensor. Shown in its original module context. Proof omitted.

theorem norm_le_choose_mul_norm_blockAverage (ρ : Equiv.Perm Ω →* (V ≃ₗᵢ[ℝ] V))
    {A B Q : Finset Ω} {d : ℕ} (hA : A.card = d) (hB : B.card = 2 * d) (hAB : Disjoint A B)
    (hAQ : A ⊆ Q) (hQ : Q ⊆ A ∪ B) (hQc : Q.card = 2 * d) (v : V)
    (hvA : ∀ σ ∈ fixingOutside A, ρ σ v = v) (hvB : ∀ σ ∈ fixingOutside B, ρ σ v = v) :
    ‖v‖ ≤ ((2 * d).choose d : ℝ) * ‖blockAverage ρ Q v‖

Module navigation

Module: Analysis/Tensor/Symmetrization.

Supporting theorems: apply_eq_of_image_eq, exists_mem_fixingOutside_image_eq, sum_fixingOutside_eq_smul_sum, sum_norm_sq_le_sum_norm_sq_sum_subset, sum_powersetCard_image_eq.

Previous: sum_powersetCard_image_eq · Next: norm_le_four_pow_mul_norm_blockAverage.

Source excerpt, lines 945–949 · Frozen source 408915f.

Literature

This formalizes Lemma 2.2 of Bizeul–Klartag–Lehec (arXiv:2610.05474v1), p. 9, in orthogonal-representation form.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Tensor_Symmetrization

variable {Ω : Type*} [Fintype Ω] [DecidableEq Ω]
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
Formal statement

theorem FunctionalInequalities.Analysis.Tensor.norm_le_choose_mul_norm_blockAverage_readable (ρ : Equiv.Perm Ω →* (V ≃ₗᵢ[ℝ] V))
    {A B Q : Finset Ω} {d : ℕ} (hA : A.card = d) (hB : B.card = 2 * d) (hAB : Disjoint A B)
    (hAQ : A ⊆ Q) (hQ : Q ⊆ A ∪ B) (hQc : Q.card = 2 * d) (v : V)
    (hvA : ∀ σ ∈ fixingOutside A, ρ σ v = v) (hvB : ∀ σ ∈ fixingOutside B, ρ σ v = v) :
    ‖v‖ ≤ ((2 * d).choose d : ℝ) * ‖blockAverage ρ Q v‖ := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Tensor/Symmetrization.lean#L944-L1111 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Tensor.Symmetrization`, declaration `FunctionalInequalities.Analysis.Tensor.norm_le_choose_mul_norm_blockAverage`; the repository is private at upload time).

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