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Add lean source and binary files (part 119)
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import Mathlib
import OAI.Probability.BinarySweep.TensorBounds.EvenPostselection
namespace OAI
noncomputable section
section
open scoped BigOperators Classical
open Equiv Equiv.Perm Matrix
namespace BinaryCoordinateSweeps.Signed
open Density
variable {A : Type*} [Fintype A] [DecidableEq A] {n : ℕ}
def invariantSubspace (p : A → Bool) (n : ℕ) :
Submodule ℂ (Matrix (Fin n → A) (Fin n → A) ℂ) where
carrier := {M | Invariant p M}
zero_mem' := by intro g x y; simp
add_mem' := by
intro M N hM hN g x y
simp only [Matrix.add_apply, hM g x y, hN g x y, mul_add]
smul_mem' := by
intro c M hM g x y
simp only [Matrix.smul_apply, smul_eq_mul, hM g x y]
ring
abbrev RealizedType (A : Type*) [Fintype A] [DecidableEq A] (n : ℕ) :=
Set.range (wordType (A := A × A) n)
def typeRepresentative (c : RealizedType A n) : Fin n → A × A := c.property.choose
lemma typeRepresentative_type (c : RealizedType A n) :
wordType n (typeRepresentative c) = c.val := c.property.choose_spec
def invariantCode (p : A → Bool) (n : ℕ) :
invariantSubspace p n →ₗ[ℂ] (RealizedType A n → ℂ) where
toFun M c := M.val (Prod.fst ∘ typeRepresentative c) (Prod.snd ∘ typeRepresentative c)
map_add' _ _ := rfl
map_smul' _ _ := rfl
lemma invariantCode_injective (p : A → Bool) (n : ℕ) :
Function.Injective (invariantCode p n) := by
intro M N h
apply Subtype.ext
ext x y
let w : Fin n → A × A := fun i => (x i,y i)
let c : RealizedType A n := ⟨wordType n w, ⟨w,rfl⟩⟩
have hc : wordCounts w = wordCounts (typeRepresentative c) :=
(wordType_eq_iff n w _).mp (typeRepresentative_type c).symm
obtain ⟨g,hg⟩ := exists_perm_eq_of_wordCounts hc
have hx : (Prod.fst ∘ typeRepresentative c) ∘ g = x := by
funext i
exact congrArg Prod.fst (hg i)
have hy : (Prod.snd ∘ typeRepresentative c) ∘ g = y := by
funext i
exact congrArg Prod.snd (hg i)
have hm := M.property g (Prod.fst ∘ typeRepresentative c) (Prod.snd ∘ typeRepresentative c)
have hn := N.property g (Prod.fst ∘ typeRepresentative c) (Prod.snd ∘ typeRepresentative c)
rw [hx,hy] at hm hn
rw [hm,hn]
exact congrArg (fun z : ℂ => signC (p ∘ (Prod.fst ∘ typeRepresentative c)) g⁻¹ *
signC (p ∘ (Prod.snd ∘ typeRepresentative c)) g⁻¹ * z) (congrFun h c)
lemma invariantSubspace_finrank (p : A → Bool) (n : ℕ) :
Module.finrank ℂ (invariantSubspace p n) ≤ (n+1)^((Fintype.card A)^2) := by
let : Fintype (RealizedType A n) := Fintype.ofFinite _
have h := LinearMap.finrank_le_finrank_of_injective (f := invariantCode p n)
(invariantCode_injective p n)
rw [Module.finrank_pi] at h
have hc := Fintype.card_le_of_injective (fun c : RealizedType A n => c.val) Subtype.val_injective
have ht := card_types_le (A := A × A) n
simp only [Fintype.card_coe, Fintype.card_prod, ← pow_two] at hc ht
exact h.trans (hc.trans ht)
omit [Fintype A] in
lemma act_single_comp (p : A → Bool) (g : Equiv.Perm (Fin n)) (y : Fin n → A) :
act p g (Pi.single (y ∘ g) (1 : ℂ)) =
signC (p ∘ y) g⁻¹ • Pi.single y (1 : ℂ) := by
funext x
change signC (p ∘ x) g⁻¹ * ((Pi.single (y ∘ g) (1 : ℂ) : (Fin n → A) → ℂ) (x ∘ g)) = _
by_cases h : x=y
· subst x
simp
· have hg : x ∘ g ≠ y ∘ g := by
intro he
apply h
funext i
simpa only [Function.comp_apply, Equiv.apply_symm_apply] using congrFun he (g.symm i)
simp [h, hg]
lemma intertwiner_matrix_invariant (p : A → Bool)
(f : Representation.IntertwiningMap (tensorRep p n) (tensorRep p n)) :
Invariant p (LinearMap.toMatrix' f.toLinearMap) := by
intro g x y
have h := congrFun (Representation.IntertwiningMap.isIntertwining _ _ f g (Pi.single (y ∘ g) (1 : ℂ))) x
change f (act p g (Pi.single (y ∘ g) 1)) x = signC (p ∘ x) g⁻¹ * f (Pi.single (y ∘ g) 1) (x ∘ g) at h
rw [act_single_comp, map_smul] at h
simp only [Pi.smul_apply, smul_eq_mul] at h
simp only [LinearMap.toMatrix'_apply, Representation.IntertwiningMap.toLinearMap_apply]
have hs := signC_sq (p ∘ x) g⁻¹
calc
_ = (signC (p ∘ x) g⁻¹ * signC (p ∘ x) g⁻¹) * f (Pi.single (y ∘ g) 1) (x ∘ g) := by rw [hs,one_mul]
_ = _ := by rw [mul_assoc, ← h]; ring
def commutantToInvariant (p : A → Bool) (n : ℕ) :
Representation.IntertwiningMap (tensorRep p n) (tensorRep p n) →ₗ[ℂ]
invariantSubspace p n where
toFun f := ⟨LinearMap.toMatrix' f.toLinearMap, intertwiner_matrix_invariant p f⟩
map_add' f g := by apply Subtype.ext; simp
map_smul' c f := by apply Subtype.ext; simp
lemma commutantToInvariant_injective (p : A → Bool) (n : ℕ) :
Function.Injective (commutantToInvariant p n) := by
intro f g h
apply Representation.IntertwiningMap.toLinearMap_injective
apply LinearMap.toMatrix'.injective
exact congrArg Subtype.val h
theorem tensor_commutant_finrank (p : A → Bool) (n : ℕ) :
Module.finrank ℂ (Representation.IntertwiningMap (tensorRep p n) (tensorRep p n)) ≤
(n+1)^((Fintype.card A)^2) :=
(LinearMap.finrank_le_finrank_of_injective (f := commutantToInvariant p n)
(commutantToInvariant_injective p n)).trans (invariantSubspace_finrank p n)
end BinaryCoordinateSweeps.Signed
end
open scoped BigOperators Classical ComplexOrder
open Equiv Equiv.Perm Matrix
namespace BinaryCoordinateSweeps.Signed
variable {A : Type*} [Fintype A] {n : ℕ}
abbrev TensorSpace (A : Type*) (n : ℕ) := EuclideanSpace ℂ (Fin n → A)
def coeffEquiv (A : Type*) [Fintype A] (n : ℕ) :
TensorSpace A n ≃ₗ[ℂ] ((Fin n → A) → ℂ) := WithLp.linearEquiv 2 ℂ _
def wordReorder (g : Equiv.Perm (Fin n)) : (Fin n → A) ≃ (Fin n → A) where
toFun x := x ∘ g
invFun x := x ∘ g.symm
left_inv x := by ext i; simp
right_inv x := by ext i; simp
def actHilbert (p : A → Bool) (g : Equiv.Perm (Fin n)) :
TensorSpace A n →ₗ[ℂ] TensorSpace A n := (coeffEquiv A n).symm.conj (act p g)
lemma actHilbert_apply (p : A → Bool) (g : Equiv.Perm (Fin n)) (v : TensorSpace A n) (x) :
actHilbert p g v x = signC (p ∘ x) g⁻¹ * v (x ∘ g) := rfl
lemma actHilbert_inner (p : A → Bool) (g : Equiv.Perm (Fin n)) (v w : TensorSpace A n) :
inner ℂ (actHilbert p g v) (actHilbert p g w) = inner ℂ v w := by
simp only [PiLp.inner_apply, actHilbert_apply, RCLike.inner_apply, map_mul,
starRingEnd_apply, signC_star]
have he (x : Fin n → A) : signC (p ∘ x) g⁻¹ * w (x ∘ g) *
(signC (p ∘ x) g⁻¹ * star (v (x ∘ g))) = w (x ∘ g) * star (v (x ∘ g)) := by
calc
_ = (signC (p ∘ x) g⁻¹ * signC (p ∘ x) g⁻¹) *
(w (x ∘ g) * star (v (x ∘ g))) := by ring
_ = _ := by rw [signC_sq, one_mul]
simp_rw [he]
exact Equiv.sum_comp (wordReorder g) (fun x => w x * star (v x))
def actionIsometry (p : A → Bool) (g : Equiv.Perm (Fin n)) :
TensorSpace A n →ₗᵢ[ℂ] TensorSpace A n := (actHilbert p g).isometryOfInner (actHilbert_inner p g)
def hilbertSubspace (S : Submodule ℂ ((Fin n → A) → ℂ)) : Submodule ℂ (TensorSpace A n) :=
S.map (coeffEquiv A n).symm.toLinearMap
lemma hilbertSubspace_finrank (S : Submodule ℂ ((Fin n → A) → ℂ)) :
Module.finrank ℂ (hilbertSubspace S) = Module.finrank ℂ S :=
(Submodule.equivMapOfInjective (coeffEquiv A n).symm.toLinearMap
(coeffEquiv A n).symm.injective S).finrank_eq.symm
lemma hilbertSubspace_map (p : A → Bool) (S : Submodule ℂ ((Fin n → A) → ℂ))
(hS : ∀ g, S.map (act p g) = S) (g : Equiv.Perm (Fin n)) :
(hilbertSubspace S).map (actHilbert p g) = hilbertSubspace S := by
apply le_antisymm
· rintro _ ⟨u,⟨v,hv,rfl⟩,rfl⟩
refine ⟨act p g v, ?_, ?_⟩
· rw [← hS g]
exact ⟨v,hv,rfl⟩
· simp only [actHilbert, LinearEquiv.conj_apply, LinearMap.comp_apply,
LinearEquiv.coe_coe, LinearEquiv.symm_symm, LinearEquiv.apply_symm_apply]
· rintro _ ⟨v,hv,rfl⟩
have hm : v ∈ S.map (act p g) := (hS g).symm ▸ hv
obtain ⟨w,hw,rfl⟩ := hm
refine ⟨(coeffEquiv A n).symm w, ⟨w,hw,rfl⟩, ?_⟩
simp only [actHilbert, LinearEquiv.conj_apply, LinearMap.comp_apply,
LinearEquiv.coe_coe, LinearEquiv.symm_symm, LinearEquiv.apply_symm_apply]
end BinaryCoordinateSweeps.Signed
end
end OAI