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Representation Values Depend Only on the Image of a Block

Proved
FunctionalInequalities.Analysis.Tensor.apply_eq_of_image_eq_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is a group-theoretic auxiliary lemma for partial symmetrization.

Let Ω\OmegaΩ be a finite type, let VVV be a real inner-product space, and let ρ\rhoρ be a monoid homomorphism from permutations of Ω\OmegaΩ to linear isometric equivalences of VVV. Let A,B⊆ΩA,B\subseteq\OmegaA,B⊆Ω be finite subsets, let v∈Vv\in Vv∈V, and suppose:

  1. ρ(σ)v=v\rho(\sigma)v=vρ(σ)v=v for every permutation σ\sigmaσ fixing every point outside AAA.
  2. ρ(σ)v=v\rho(\sigma)v=vρ(σ)v=v for every permutation σ\sigmaσ fixing every point outside BBB.
  3. σ\sigmaσ and τ\tauτ both fix every point outside A∪BA\cup BA∪B.
  4. σ(A)=τ(A)\sigma(A)=\tau(A)σ(A)=τ(A).

Then

ρ(σ)v=ρ(τ)v.\rho(\sigma)v=\rho(\tau)v.ρ(σ)v=ρ(τ)v.

The lemma shows that, under the two invariance assumptions, the represented vector depends only on the image of AAA.

Original Lean declaration header

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

theorem apply_eq_of_image_eq (ρ : Equiv.Perm Ω →* (V ≃ₗᵢ[ℝ] V)) {A B : Finset Ω} (v : V)
    (hvA : ∀ σ ∈ fixingOutside A, ρ σ v = v) (hvB : ∀ σ ∈ fixingOutside B, ρ σ v = v)
    {σ τ : Equiv.Perm Ω} (hσ : σ ∈ fixingOutside (A ∪ B)) (hτ : τ ∈ fixingOutside (A ∪ B))
    (h : A.image σ = A.image τ) : ρ σ v = ρ τ v

Module navigation

Module: Analysis/Tensor/Symmetrization.

Previous: exists_mem_fixingOutside_image_eq · Next: image_mem_powersetCard_of_mem_fixingOutside.

Source excerpt, lines 606–609 · Frozen source 408915f.

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.apply_eq_of_image_eq_readable (ρ : Equiv.Perm Ω →* (V ≃ₗᵢ[ℝ] V)) {A B : Finset Ω} (v : V)
    (hvA : ∀ σ ∈ fixingOutside A, ρ σ v = v) (hvB : ∀ σ ∈ fixingOutside B, ρ σ v = v)
    {σ τ : Equiv.Perm Ω} (hσ : σ ∈ fixingOutside (A ∪ B)) (hτ : τ ∈ fixingOutside (A ∪ B))
    (h : A.image σ = A.image τ) : ρ σ v = ρ τ v := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Tensor/Symmetrization.lean#L604-L714 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Tensor.Symmetrization`, declaration `FunctionalInequalities.Analysis.Tensor.apply_eq_of_image_eq`; the repository is private at upload time).

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