Binomial Partial Symmetrization Bound
ProvedFunctionalInequalities.Analysis.Tensor.norm_le_choose_mul_norm_blockAverage_readableLet be finite, let be a real inner-product space, and let be a permutation representation by linear isometries. Let and satisfy:
- and .
- and are disjoint.
- .
- .
- is invariant under permutations fixing outside and under permutations fixing outside .
Then
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.
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Tensor_Symmetrization
variable {Ω : Type*} [Fintype Ω] [DecidableEq Ω]
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
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