import Mathlib import OAI.Probability.BinarySweep.Conditional.AugmentedComplement namespace OAI noncomputable section section open scoped BigOperators Classical namespace BinaryCoordinateSweeps.Young variable {I X : Type*} [Fintype I] [DecidableEq I] [Fintype X] [DecidableEq X] omit [DecidableEq I] [Fintype X] [DecidableEq X] in lemma subPlacement_univ_injective : Function.Injective (subPlacement (X:=X) (Finset.univ : Finset I)) := by intro x y he ext i exact congrArg (fun t => t ⟨i,Finset.mem_univ _⟩) he def partialPlacement (A : Finset I) (g : Equiv.Perm X) : ((I ↪ X) → ℂ) →ₗ[ℂ] ((I ↪ X) → ℂ) where toFun v y := placementMarginal A v (movePlacement g⁻¹ (subPlacement A y)) map_add' v w := by ext y; simp only [map_add,Pi.add_apply] map_smul' c v := by ext y; simp only [map_smul,RingHom.id_apply,Pi.smul_apply] omit [DecidableEq I] in lemma partialPlacement_apply (A : Finset I) (g : Equiv.Perm X) (v : (I ↪ X) → ℂ) (y : I ↪ X) : partialPlacement A g v y = ∑x : I ↪ X, if subPlacement A (movePlacement g x)=subPlacement A y then v x else 0 := by simp only [partialPlacement,placementMarginal,LinearMap.coe_mk,AddHom.coe_mk, move_sub_eq_iff] omit [DecidableEq I] in lemma partialPlacement_univ (g : Equiv.Perm X) : partialPlacement (Finset.univ : Finset I) g = placementRep g := by apply LinearMap.ext intro v funext y change (∑x : I ↪ X, if subPlacement Finset.univ x=movePlacement g⁻¹ (subPlacement Finset.univ y) then v x else 0)=v (movePlacement g⁻¹ y) simp only [← subPlacement_move,subPlacement_univ_injective.eq_iff] simp def placementAverage (p : Equiv.Perm X → ℂ) : ((I ↪ X) → ℂ) →ₗ[ℂ] ((I ↪ X) → ℂ) := ∑g, p g • placementRep g def partialPlacementAverage (A : Finset I) (p : Equiv.Perm X → ℂ) : ((I ↪ X) → ℂ) →ₗ[ℂ] ((I ↪ X) → ℂ) := ∑g, p g • partialPlacement A g def centeredPlacement (s : ℂ) (p : Equiv.Perm X → ℂ) : ((I ↪ X) → ℂ) →ₗ[ℂ] ((I ↪ X) → ℂ) := ∑A ∈ (Finset.univ : Finset I).powerset, ((-1:ℂ)^(Fintype.card I-A.card)*s^A.card/s^Fintype.card I) • partialPlacementAverage A p lemma partialPlacement_specht_zero (μ : YoungDiagram) (A : Finset (Tail μ)) (hA : A≠Finset.univ) (g : G μ) (v : SpechtSpace μ) : partialPlacement A g (spechtPlacement μ v)=0 := by ext y change placementMarginal A (spechtPlacement μ v) _=0 rw [spechtPlacement_marginal_zero μ A hA] rfl lemma partialPlacementAverage_specht_zero (μ : YoungDiagram) (A : Finset (Tail μ)) (hA : A≠Finset.univ) (p : G μ → ℂ) (v : SpechtSpace μ) : partialPlacementAverage A p (spechtPlacement μ v)=0 := by simp only [partialPlacementAverage,LinearMap.sum_apply,LinearMap.smul_apply, partialPlacement_specht_zero μ A hA,smul_zero,Finset.sum_const_zero] theorem centeredPlacement_specht (μ : YoungDiagram) (s : ℂ) (hs : s≠0) (p : G μ → ℂ) (v : SpechtSpace μ) : centeredPlacement s p (spechtPlacement μ v) = placementAverage p (spechtPlacement μ v) := by unfold centeredPlacement simp only [LinearMap.sum_apply,LinearMap.smul_apply] rw [Finset.sum_eq_single Finset.univ] · simp only [Finset.card_univ,Nat.sub_self,pow_zero,one_mul, div_self (pow_ne_zero _ hs),one_smul,partialPlacementAverage, partialPlacement_univ,placementAverage,LinearMap.sum_apply,LinearMap.smul_apply] · intro A _ hA rw [partialPlacementAverage_specht_zero μ A hA,smul_zero] · intro hn exact (hn (Finset.mem_powerset.mpr (Finset.Subset.refl _))).elim lemma placementAverage_specht (μ : YoungDiagram) (p : G μ → ℂ) (v : SpechtSpace μ) : placementAverage p (spechtPlacement μ v)= spechtPlacement μ (∑g, p g • spechtRep μ g v) := by simp only [placementAverage,LinearMap.sum_apply,LinearMap.smul_apply,map_sum,map_smul, spechtPlacement_intertwines] end BinaryCoordinateSweeps.Young end open scoped BigOperators Classical namespace BinaryCoordinateSweeps.Young variable {I X : Type*} [Fintype I] [DecidableEq I] [Fintype X] [DecidableEq X] def placementCoeffs : EuclideanSpace ℂ (I ↪ X) ≃ₗ[ℂ] ((I ↪ X) → ℂ) := WithLp.linearEquiv 2 ℂ _ def partialHilbert (A : Finset I) (g : Equiv.Perm X) : EuclideanSpace ℂ (I ↪ X) →ₗ[ℂ] EuclideanSpace ℂ (I ↪ X) := placementCoeffs.symm.conj (partialPlacement A g) def partialKernel (A : Finset I) (g : Equiv.Perm X) : Matrix (I ↪ X) (I ↪ X) ℂ := fun y x => if subPlacement A (movePlacement g x)=subPlacement A y then 1 else 0 omit [DecidableEq I] in lemma partialKernel_toLin (A : Finset I) (g : Equiv.Perm X) : (partialKernel A g).toEuclideanLin=partialHilbert A g := by apply LinearMap.ext intro v apply (placementCoeffs (I:=I) (X:=X)).injective funext y change (∑x, partialKernel A g y x*v x)=partialPlacement A g (placementCoeffs v) y rw [partialPlacement_apply] apply Finset.sum_congr rfl intro x _ dsimp [partialKernel] split_ifs <;> simp [placementCoeffs] omit [Fintype I] [DecidableEq I] [Fintype X] in lemma partialKernel_adjoint (A : Finset I) (g : Equiv.Perm X) : (partialKernel A g).conjTranspose=partialKernel A g⁻¹ := by ext y x have he : subPlacement A (movePlacement g y)=subPlacement A x ↔ subPlacement A (movePlacement g⁻¹ x)=subPlacement A y := by rw [move_sub_eq_iff,← subPlacement_move] exact eq_comm simp only [Matrix.conjTranspose_apply,partialKernel,he] split_ifs <;> simp omit [DecidableEq I] in lemma partialHilbert_adjoint (A : Finset I) (g : Equiv.Perm X) : (partialHilbert A g).adjoint=partialHilbert A g⁻¹ := by rw [← partialKernel_toLin,← Matrix.toEuclideanLin_conjTranspose_eq_adjoint, partialKernel_adjoint,partialKernel_toLin] def centeredHilbert (s : ℝ) (p : Equiv.Perm X → ℂ) : EuclideanSpace ℂ (I ↪ X) →ₗ[ℂ] EuclideanSpace ℂ (I ↪ X) := placementCoeffs.symm.conj (centeredPlacement (s:ℂ) p) omit [DecidableEq I] in lemma centeredHilbert_sum (s : ℝ) (p : Equiv.Perm X → ℂ) : centeredHilbert (I:=I) s p = ∑A ∈ (Finset.univ : Finset I).powerset, ((-1:ℂ)^(Fintype.card I-A.card)*(s:ℂ)^A.card/(s:ℂ)^Fintype.card I) • ∑g, p g • partialHilbert A g := by simp only [centeredHilbert,centeredPlacement,partialPlacementAverage,map_sum,map_smul, partialHilbert] omit [DecidableEq I] in lemma centeredHilbert_adjoint (s : ℝ) (p : Equiv.Perm X → ℂ) : (centeredHilbert (I:=I) s p).adjoint=centeredHilbert s (fun g => star (p g⁻¹)) := by simp only [centeredHilbert_sum,map_sum,map_smulₛₗ,partialHilbert_adjoint, map_div₀,map_mul,map_pow,map_neg,map_one,Complex.star_def,Complex.conj_ofReal] apply Finset.sum_congr rfl intro A _ congr 1 have he := Equiv.sum_comp (Equiv.inv (Equiv.Perm X)) (fun g => star (p g⁻¹) • partialHilbert A g) simp only [starRingEnd_apply] simpa only [Equiv.inv_apply,inv_inv] using he def spechtPlacementHilbert (μ : YoungDiagram) : SpechtHilbert μ →ₗ[ℂ] EuclideanSpace ℂ (Tail μ ↪ Cell μ) := placementCoeffs.symm.toLinearMap.comp ((spechtPlacement μ).comp (spechtHilbertEquiv μ).symm.toLinearMap) lemma spechtPlacementHilbert_injective (μ : YoungDiagram) : Function.Injective (spechtPlacementHilbert μ) := placementCoeffs.symm.injective.comp ((spechtPlacement_injective μ).comp (spechtHilbertEquiv μ).symm.injective) lemma centeredHilbert_specht (μ : YoungDiagram) (s : ℝ) (hs : s≠0) (p : G μ → ℂ) (v : SpechtHilbert μ) : centeredHilbert s p (spechtPlacementHilbert μ v)= spechtPlacementHilbert μ (Irrep.groupAverage (hilbertSpecht μ) p v) := by obtain ⟨u,rfl⟩ := (spechtHilbertEquiv μ).surjective v apply placementCoeffs.injective simp only [centeredHilbert,spechtPlacementHilbert,LinearMap.comp_apply, LinearEquiv.conj_apply,LinearEquiv.coe_coe,LinearEquiv.symm_symm, LinearEquiv.apply_symm_apply,LinearEquiv.symm_apply_apply] change centeredPlacement (s:ℂ) p (spechtPlacement μ u)= spechtPlacement μ ((spechtHilbertEquiv μ).symm (Irrep.groupAverage (hilbertSpecht μ) p (spechtHilbertEquiv μ u))) rw [centeredPlacement_specht μ _ (by exact_mod_cast hs),placementAverage_specht] congr 1 simp only [Irrep.groupAverage,LinearMap.sum_apply,LinearMap.smul_apply,map_sum,map_smul] apply Finset.sum_congr rfl intro g _ congr 1 change spechtRep μ g u=(spechtHilbertEquiv μ).symm ((spechtHilbertEquiv μ) (spechtRep μ g ((spechtHilbertEquiv μ).symm ((spechtHilbertEquiv μ) u)))) simp only [LinearEquiv.symm_apply_apply] end BinaryCoordinateSweeps.Young end end OAI