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Add lean source and binary files (part 119)
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import Mathlib
import OAI.Probability.BinarySweep.YoungTheory.CutColumns
namespace OAI
noncomputable section
section
open scoped BigOperators Classical TensorProduct
namespace BinaryCoordinateSweeps.Young
lemma tensor_map_injective_complex {V W X Y : Type*}
[AddCommMonoid V] [Module ℂ V] [AddCommMonoid W] [Module ℂ W]
[AddCommMonoid X] [Module ℂ X] [AddCommMonoid Y] [Module ℂ Y]
(f : V →ₗ[ℂ] X) (g : W →ₗ[ℂ] Y)
(hf : Function.Injective f) (hg : Function.Injective g) :
Function.Injective (TensorProduct.map f g) := by
let : AddCommGroup X := Module.addCommMonoidToAddCommGroup ℂ
let : AddCommGroup W := Module.addCommMonoidToAddCommGroup ℂ
exact TensorProduct.map_injective_of_flat_flat f g hf hg
variable (μ : YoungDiagram) (p : ℕ)
abbrev CutTensor := SpechtSpace (hookPart μ p) ⊗[ℂ] SpechtSpace (southeast μ p)
abbrev CutTabloids := Tabloid (hookPart μ p) × Tabloid (southeast μ p)
def cutTensorInclude : CutTensor μ p →ₗ[ℂ] (CutTabloids μ p → ℂ) :=
TensorProduct.lift {
toFun := fun v => {
toFun := fun w t => spechtInclude (hookPart μ p) v t.1 * spechtInclude (southeast μ p) w t.2
map_add' := by intro a b; ext t; simp only [map_add,Pi.add_apply,mul_add]
map_smul' := by intro c a; ext t; simp only [map_smul,Pi.smul_apply,smul_eq_mul,RingHom.id_apply]; ring }
map_add' := by intro a b; ext w t; simp only [map_add,Pi.add_apply,add_mul,LinearMap.add_apply,LinearMap.coe_mk,AddHom.coe_mk]
map_smul' := by intro c a; ext w t; simp only [map_smul,Pi.smul_apply,smul_eq_mul,LinearMap.smul_apply,LinearMap.coe_mk,AddHom.coe_mk,RingHom.id_apply]; ring }
@[simp] lemma cutTensorInclude_tmul (v : SpechtSpace (hookPart μ p))
(w : SpechtSpace (southeast μ p)) (t : CutTabloids μ p) :
cutTensorInclude μ p (v ⊗ₜ[ℂ] w) t =
spechtInclude (hookPart μ p) v t.1 * spechtInclude (southeast μ p) w t.2 := rfl
lemma cutTensorInclude_injective : Function.Injective (cutTensorInclude μ p) := by
let T := TensorProduct.map (spechtInclude (hookPart μ p)) (spechtInclude (southeast μ p))
have hT : Function.Injective T := tensor_map_injective_complex
(spechtInclude (hookPart μ p)) (spechtInclude (southeast μ p))
(spechtInclude_injective (hookPart μ p)) (spechtInclude_injective (southeast μ p))
let E := TensorProduct.piScalarRight ℂ ℂ (Tabloid (hookPart μ p) → ℂ) (Tabloid (southeast μ p))
have hE (u : CutTensor μ p) (t : CutTabloids μ p) :
E (T u) t.2 t.1 = cutTensorInclude μ p u t := by
induction u using TensorProduct.inductionOn with
| tmul v w =>
change E (spechtInclude _ v ⊗ₜ[ℂ] spechtInclude _ w) t.2 t.1 = _
simp only [cutTensorInclude_tmul,E,TensorProduct.piScalarRight_apply,
TensorProduct.piScalarRightHom_tmul,Pi.smul_apply,smul_eq_mul]
exact mul_comm _ _
| add u v hu hv => simp only [map_add,Pi.add_apply,hu,hv]
intro u v h
apply hT
apply E.injective
ext s t
exact (hE u (t,s)).trans ((congrFun h (t,s)).trans (hE v (t,s)).symm)
def cutRestriction : SpechtSpace μ →ₗ[ℂ] (CutTabloids μ p → ℂ) where
toFun v t := spechtInclude μ v (glueTabloid μ p t)
map_add' a b := by ext t; simp
map_smul' c a := by ext t; simp
lemma cutRestriction_poly :
cutRestriction μ p (spechtPoly μ) =
cutTensorInclude μ p (spechtPoly (hookPart μ p) ⊗ₜ[ℂ] spechtPoly (southeast μ p)) := by
ext t
change spechtInclude μ (spechtPoly μ) (glueTabloid μ p t) = _
simp only [spechtInclude_poly,polytabloid_glue,cutTensorInclude_tmul]
lemma cutRestriction_translate (g : G (hookPart μ p) × G (southeast μ p)) :
cutRestriction μ p (spechtRep μ (cutPerm μ p g) (spechtPoly μ)) =
cutTensorInclude μ p
(spechtRep (hookPart μ p) g.1 (spechtPoly (hookPart μ p)) ⊗ₜ[ℂ]
spechtRep (southeast μ p) g.2 (spechtPoly (southeast μ p))) := by
ext t
change spechtInclude μ (spechtRep μ (cutPerm μ p g) (spechtPoly μ))
(glueTabloid μ p t) = _
rw [spechtInclude_rep,tabloidRepresentation_apply,← map_inv,← glueTabloid_smul,
spechtInclude_poly,polytabloid_glue,cutTensorInclude_tmul,
spechtInclude_rep,spechtInclude_rep]
rfl
lemma cut_tensor_orbit_mem_range (g : G (hookPart μ p)) (d : G (southeast μ p)) :
cutTensorInclude μ p (spechtRep (hookPart μ p) g (spechtPoly (hookPart μ p)) ⊗ₜ[ℂ]
spechtRep (southeast μ p) d (spechtPoly (southeast μ p))) ∈
LinearMap.range (cutRestriction μ p) :=
⟨spechtRep μ (cutPerm μ p (g,d)) (spechtPoly μ),cutRestriction_translate μ p (g,d)⟩
private lemma spechtPoly_span_top (ν : YoungDiagram) :
Submodule.span ℂ (Set.range (fun g : G ν => spechtRep ν g (spechtPoly ν))) = ⊤ :=
Irrep.span_orbit_eq_top (spechtRep ν) (spechtPoly ν) (spechtPoly_ne_zero ν)
lemma cut_tensor_tmul_mem_range (v : SpechtSpace (hookPart μ p))
(w : SpechtSpace (southeast μ p)) :
cutTensorInclude μ p (v ⊗ₜ[ℂ] w) ∈ LinearMap.range (cutRestriction μ p) := by
have hv : v ∈ Submodule.span ℂ (Set.range (fun g : G (hookPart μ p) =>
spechtRep (hookPart μ p) g (spechtPoly (hookPart μ p)))) := by
rw [spechtPoly_span_top]
trivial
induction hv using Submodule.span_induction with
| mem x hx =>
obtain ⟨g,rfl⟩ := hx
have hw : w ∈ Submodule.span ℂ (Set.range (fun d : G (southeast μ p) =>
spechtRep (southeast μ p) d (spechtPoly (southeast μ p)))) := by
rw [spechtPoly_span_top]
trivial
induction hw using Submodule.span_induction with
| mem y hy => obtain ⟨d,rfl⟩ := hy; exact cut_tensor_orbit_mem_range μ p g d
| zero => simp
| add x y hx hy hx' hy' => simpa only [TensorProduct.tmul_add,map_add] using Submodule.add_mem _ hx' hy'
| smul c x hx hx' => simpa only [TensorProduct.tmul_smul,map_smul] using Submodule.smul_mem _ c hx'
| zero => simp
| add x y hx hy hx' hy' => simpa only [TensorProduct.add_tmul,map_add] using Submodule.add_mem _ hx' hy'
| smul c x hx hx' => simpa only [← TensorProduct.smul_tmul',map_smul] using Submodule.smul_mem _ c hx'
theorem cutTensor_range_le : LinearMap.range (cutTensorInclude μ p) ≤
LinearMap.range (cutRestriction μ p) := by
rintro _ ⟨u,rfl⟩
induction u using TensorProduct.inductionOn with
| tmul v w => exact cut_tensor_tmul_mem_range μ p v w
| add u v hu hv => simpa only [map_add] using Submodule.add_mem _ hu hv
end BinaryCoordinateSweeps.Young
end
open scoped BigOperators Classical
namespace BinaryCoordinateSweeps.Irrep
open Representation
variable {G V W P : Type*} [Group G] [Fintype G]
[AddCommMonoid V] [Module ℂ V] [AddCommMonoid W] [Module ℂ W]
[AddCommMonoid P] [Module ℂ P]
(ρ : Representation ℂ G V) (σ : Representation ℂ G W) (τ : Representation ℂ G P)
def averageLinear (l : P →ₗ[ℂ] V) : P →ₗ[ℂ] V :=
(Fintype.card G : ℂ)⁻¹ • ∑ g : G, (ρ g⁻¹).comp (l.comp (τ g))
lemma averageLinear_apply (l : P →ₗ[ℂ] V) (v : P) :
averageLinear ρ τ l v = (Fintype.card G : ℂ)⁻¹ • ∑ g : G, ρ g⁻¹ (l (τ g v)) := by
simp only [averageLinear,LinearMap.smul_apply,LinearMap.sum_apply,LinearMap.comp_apply]
lemma averageLinear_intertwines (l : P →ₗ[ℂ] V) (a : G) (v : P) :
averageLinear ρ τ l (τ a v) = ρ a (averageLinear ρ τ l v) := by
simp only [averageLinear_apply,map_smul,map_sum,← Module.End.mul_apply,← map_mul]
congr 1
have hh := Equiv.sum_comp (Equiv.mulRight a) (fun g : G =>
ρ (a*g⁻¹) (l (τ g v)))
rw [← hh]
apply Finset.sum_congr rfl
intro g _
simp only [Equiv.coe_mulRight,mul_inv_rev,mul_inv_cancel_left]
def averagedIntertwiner (l : P →ₗ[ℂ] V) : IntertwiningMap τ ρ where
toLinearMap := averageLinear ρ τ l
isIntertwining' a := LinearMap.ext (averageLinear_intertwines ρ τ l a)
lemma averageLinear_lift (l : P →ₗ[ℂ] V) (f : IntertwiningMap ρ σ)
(g : IntertwiningMap τ σ) (hl : ∀ v, f (l v) = g v) (v : P) :
f (averageLinear ρ τ l v) = g v := by
rw [averageLinear_apply,map_smul,map_sum]
simp only [hl,IntertwiningMap.isIntertwining,
← Module.End.mul_apply,← map_mul,inv_mul_cancel,map_one,Module.End.one_apply]
rw [Finset.sum_const,Finset.card_univ,← Nat.cast_smul_eq_nsmul ℂ,smul_smul,
inv_mul_cancel₀ (show (Fintype.card G : ℂ) ≠ 0 from Nat.cast_ne_zero.mpr Fintype.card_ne_zero),one_smul]
theorem lift_intertwiner (f : IntertwiningMap ρ σ) (g : IntertwiningMap τ σ)
(h : LinearMap.range g.toLinearMap ≤ LinearMap.range f.toLinearMap) :
∃ l : IntertwiningMap τ ρ, ∀ v, f (l v) = g v := by
let : AddCommGroup V := Module.addCommMonoidToAddCommGroup ℂ
let : AddCommGroup W := Module.addCommMonoidToAddCommGroup ℂ
let : AddCommGroup P := Module.addCommMonoidToAddCommGroup ℂ
let f0 := f.toLinearMap.rangeRestrict
obtain ⟨r,hr⟩ := f0.exists_rightInverse_of_surjective f.toLinearMap.range_rangeRestrict
let g0 : P →ₗ[ℂ] LinearMap.range f.toLinearMap :=
g.toLinearMap.codRestrict _ (fun v => h ⟨v,rfl⟩)
let l := r.comp g0
have hl (v : P) : f (l v) = g v := by
have hh := DFunLike.congr_fun hr (g0 v)
exact congrArg Subtype.val hh
exact ⟨averagedIntertwiner ρ τ l,averageLinear_lift ρ σ τ l f g hl⟩
end BinaryCoordinateSweeps.Irrep
end
end OAI