Representation Values Depend Only on the Image of a Block
ProvedFunctionalInequalities.Analysis.Tensor.apply_eq_of_image_eq_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This is a group-theoretic auxiliary lemma for partial symmetrization.
Let be a finite type, let be a real inner-product space, and let be a monoid homomorphism from permutations of to linear isometric equivalences of . Let be finite subsets, let , and suppose:
- for every permutation fixing every point outside .
- for every permutation fixing every point outside .
- and both fix every point outside .
- .
Then
The lemma shows that, under the two invariance assumptions, the represented vector depends only on the image of .
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).