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Add lean source and binary files (part 84)
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import Mathlib
import OAI.LinearAlgebra.MatrixFields.Construction.InitialState
namespace OAI
namespace MatrixAllFields
open scoped BigOperators Topology Polynomial
section
noncomputable section
namespace MatrixMultiplication.CWOrientedZero
open MatrixMultiplication.Foundation CWWindowedLeaves CWStrands AllFieldFiniteFamily
open scoped BigOperators
attribute [local instance] Classical.propDecidable
variable (F : Type*) [Field F]
private theorem tensor_swapXY_inline_MatrixMultiplication_CWOrientedZero (x y z : Fin 7) :
FieldCW.tensor F 5 x y z = FieldCW.tensor F 5 y x z := by
unfold FieldCW.tensor
simp only [Finset.sum_add_distrib, mul_comm, mul_left_comm, mul_assoc]
ring
private theorem tensor_swapYZ_inline_MatrixMultiplication_CWOrientedZero (x y z : Fin 7) :
FieldCW.tensor F 5 x y z = FieldCW.tensor F 5 x z y := by
exact (FieldCW.tensor_cyclic F 5 x y z).trans
((tensor_swapXY_inline_MatrixMultiplication_CWOrientedZero F y z x).trans (FieldCW.tensor_cyclic F 5 x z y).symm)
private theorem tensor_swapXZ_inline_MatrixMultiplication_CWOrientedZero (x y z : Fin 7) :
FieldCW.tensor F 5 x y z = FieldCW.tensor F 5 z y x := by
exact (FieldCW.tensor_cyclic F 5 x y z).trans (tensor_swapXY_inline_MatrixMultiplication_CWOrientedZero F y z x)
private theorem shape_swapXY (n a b c : ℕ) (x y z : Raw n) :
shapeTensor (F := F) (Fin n) (Matrix.vecCons (a) (Matrix.vecCons (b) (Matrix.vecCons (c) Matrix.vecEmpty))) x y z =
shapeTensor (F := F) (Fin n) (Matrix.vecCons (b) (Matrix.vecCons (a) (Matrix.vecCons (c) Matrix.vecEmpty))) y x z := by
have hp : strand (F := F) (Fin n) x y z = strand (F := F) (Fin n) y x z := by
apply Finset.prod_congr rfl
intro i _
exact tensor_swapXY_inline_MatrixMultiplication_CWOrientedZero F _ _ _
simp only [shapeTensor, Matrix.cons_val_zero, Matrix.cons_val_one,
Matrix.cons_val, hp]
congr 1
apply propext
tauto
private theorem shape_swapYZ (n a b c : ℕ) (x y z : Raw n) :
shapeTensor (F := F) (Fin n) (Matrix.vecCons (a) (Matrix.vecCons (b) (Matrix.vecCons (c) Matrix.vecEmpty))) x y z =
shapeTensor (F := F) (Fin n) (Matrix.vecCons (a) (Matrix.vecCons (c) (Matrix.vecCons (b) Matrix.vecEmpty))) x z y := by
have hp : strand (F := F) (Fin n) x y z = strand (F := F) (Fin n) x z y := by
apply Finset.prod_congr rfl
intro i _
exact tensor_swapYZ_inline_MatrixMultiplication_CWOrientedZero F _ _ _
simp only [shapeTensor, Matrix.cons_val_zero, Matrix.cons_val_one,
Matrix.cons_val, hp]
congr 1
apply propext
tauto
private theorem shape_swapXZ (n a b c : ℕ) (x y z : Raw n) :
shapeTensor (F := F) (Fin n) (Matrix.vecCons (a) (Matrix.vecCons (b) (Matrix.vecCons (c) Matrix.vecEmpty))) x y z =
shapeTensor (F := F) (Fin n) (Matrix.vecCons (c) (Matrix.vecCons (b) (Matrix.vecCons (a) Matrix.vecEmpty))) z y x := by
rw [shape_swapXY, shape_swapYZ, shape_swapXY]
def placedShape (zero selected : Fin 3) (a b : ℕ) : Fin 3 → ℕ :=
fun s => if s = zero then 0 else if s = selected then a else b
def sideWord (zero selected : Fin 3) {n a : ℕ} (side : Fin 3)
(w : Alphabet n a) : Raw n :=
if side = zero then zeroWord n else if side = selected then w.val else complementWord w.val
def matched (zero : Fin 3) {E : Type*} (x y z : E) : Prop :=
if zero = 0 then y = z else if zero = 1 then x = z else x = y
theorem local_coefficient (n a b : ℕ) (hab : a + b = 2*n)
(zero selected : Fin 3) (hne : zero ≠ selected) (x y z : Alphabet n a) :
shapeTensor (F := F) (Fin n) (placedShape zero selected a b)
(sideWord zero selected 0 x) (sideWord zero selected 1 y)
(sideWord zero selected 2 z) = if matched zero x y z then 1 else 0 := by
have shape_eq : placedShape zero selected a b =
![placedShape zero selected a b 0, placedShape zero selected a b 1,
placedShape zero selected a b 2] := by
ext side
fin_cases side <;> rfl
rw [shape_eq]
fin_cases zero <;> fin_cases selected
all_goals try contradiction
· simpa [placedShape, sideWord, matched] using zeroX_local F n a b hab y z
· have hh := (shape_swapYZ F n 0 b a (zeroWord n) (complementWord y.val) z.val).trans
(zeroX_local F n a b hab z y)
have he : (z = y) ↔ (y = z) := eq_comm
simpa [placedShape, sideWord, matched, he] using hh
· simpa [placedShape, sideWord, matched] using zeroY_local F n a b hab x z
· have hh := (shape_swapXZ F n b 0 a (complementWord x.val) (zeroWord n) z.val).trans
(zeroY_local F n a b hab z x)
have he : (z = x) ↔ (x = z) := eq_comm
simpa [placedShape, sideWord, matched, he] using hh
· simpa [placedShape, sideWord, matched] using zeroZ_local F n a b hab x y
· have hh := (shape_swapXY F n b a 0 (complementWord x.val) y.val (zeroWord n)).trans
(zeroZ_local F n a b hab y x)
have he : (y = x) ↔ (x = y) := eq_comm
simpa [placedShape, sideWord, matched, he] using hh
def Row (zero : Fin 3) (E : Type) : Type := if zero = 1 then E else Unit
def Middle (zero : Fin 3) (E : Type) : Type := if zero = 2 then E else Unit
def Column (zero : Fin 3) (E : Type) : Type := if zero = 0 then E else Unit
instance (zero : Fin 3) (E : Type) [Fintype E] : Fintype (Row zero E) := by
unfold Row; split_ifs <;> infer_instance
instance (zero : Fin 3) (E : Type) [Fintype E] : Fintype (Middle zero E) := by
unfold Middle; split_ifs <;> infer_instance
instance (zero : Fin 3) (E : Type) [Fintype E] : Fintype (Column zero E) := by
unfold Column; split_ifs <;> infer_instance
theorem volume (zero : Fin 3) (E : Type) [Fintype E] :
Fintype.card (Row zero E) * Fintype.card (Middle zero E) *
Fintype.card (Column zero E) = Fintype.card E := by
fin_cases zero
· change Fintype.card Unit * Fintype.card Unit * Fintype.card E = Fintype.card E
simp
· change Fintype.card E * Fintype.card Unit * Fintype.card Unit = Fintype.card E
simp
· change Fintype.card Unit * Fintype.card E * Fintype.card Unit = Fintype.card E
simp
theorem matching_nonempty {V E : Type} [Fintype V] [Fintype E] [Nonempty E]
(Q : Tensor F V V V) (zero : Fin 3) (embed : Fin 3 → E → V)
(h : ∀ x y z, Q (embed 0 x) (embed 1 y) (embed 2 z) =
if matched zero x y z then 1 else 0) :
Nonempty (LocalMap Q (Tensor.matrixCoefficients (Row zero E) (Middle zero E) (Column zero E))) := by
let e : E := Classical.choice inferInstance
fin_cases zero
· refine ⟨LocalMap.ofExists ⟨(fun _ v => if v = embed 0 e then 1 else 0),
(fun y v => if v = embed 1 y.2 then 1 else 0),
(fun z v => if v = embed 2 z.1 then 1 else 0), ?_⟩⟩
rw [← Tensor.pullback_eq_restrict]
funext x y z
let sm0 : Subsingleton (Middle (0 : Fin 3) E) := by simp only [Middle, show (0 : Fin 3) ≠ 2 from by decide, ite_false]; infer_instance
let sr0 : Subsingleton (Row (0 : Fin 3) E) := by simp only [Row, show (0 : Fin 3) ≠ 1 from by decide, ite_false]; infer_instance
have hu1 : x.2 = y.1 := @Subsingleton.elim _ sm0 _ _
have hu2 : z.2 = x.1 := @Subsingleton.elim _ sr0 _ _
simpa [Tensor.pullback, Tensor.matrixCoefficients, matched, Row, Middle, Column, hu1, hu2] using
h e y.2 z.1
· refine ⟨LocalMap.ofExists ⟨(fun x v => if v = embed 0 x.1 then 1 else 0),
(fun _ v => if v = embed 1 e then 1 else 0),
(fun z v => if v = embed 2 z.2 then 1 else 0), ?_⟩⟩
rw [← Tensor.pullback_eq_restrict]
funext x y z
let sm1 : Subsingleton (Middle (1 : Fin 3) E) := by simp only [Middle, show (1 : Fin 3) ≠ 2 from by decide, ite_false]; infer_instance
let sc1 : Subsingleton (Column (1 : Fin 3) E) := by simp only [Column, show (1 : Fin 3) ≠ 0 from by decide, ite_false]; infer_instance
have hu1 : x.2 = y.1 := @Subsingleton.elim _ sm1 _ _
have hu2 : y.2 = z.1 := @Subsingleton.elim _ sc1 _ _
simpa [Tensor.pullback, Tensor.matrixCoefficients, matched, Row, Middle, Column, hu1, hu2, eq_comm] using
h x.1 e z.2
· refine ⟨LocalMap.ofExists ⟨(fun x v => if v = embed 0 x.2 then 1 else 0),
(fun y v => if v = embed 1 y.1 then 1 else 0),
(fun _ v => if v = embed 2 e then 1 else 0), ?_⟩⟩
rw [← Tensor.pullback_eq_restrict]
funext x y z
let sc2 : Subsingleton (Column (2 : Fin 3) E) := by simp only [Column, show (2 : Fin 3) ≠ 0 from by decide, ite_false]; infer_instance
let sr2 : Subsingleton (Row (2 : Fin 3) E) := by simp only [Row, show (2 : Fin 3) ≠ 1 from by decide, ite_false]; infer_instance
have hu1 : y.2 = z.1 := @Subsingleton.elim _ sc2 _ _
have hu2 : z.2 = x.1 := @Subsingleton.elim _ sr2 _ _
simpa [Tensor.pullback, Tensor.matrixCoefficients, matched, Row, Middle, Column, hu1, hu2] using
h x.2 y.1 e
def ofMatching {V E : Type} [Fintype V] [Fintype E] [Nonempty E]
(Q : Tensor F V V V) (zero : Fin 3) (embed : Fin 3 → E → V)
(h : ∀ x y z, Q (embed 0 x) (embed 1 y) (embed 2 z) =
if matched zero x y z then 1 else 0) :
LocalMap Q (Tensor.matrixCoefficients (Row zero E) (Middle zero E) (Column zero E)) :=
Classical.choice (matching_nonempty F Q zero embed h)
theorem power_coefficient {E : Type} (n a b m : ℕ) (hab : a+b=2*n)
(zero selected : Fin 3) (hne : zero ≠ selected)
(words : E → Fin m → Alphabet n a) (hinj : Function.Injective words)
(x y z : E) :
Tensor.power (shapeTensor (F := F) (Fin n) (placedShape zero selected a b)) m
(fun i => sideWord zero selected 0 (words x i))
(fun i => sideWord zero selected 1 (words y i))
(fun i => sideWord zero selected 2 (words z i)) =
if matched zero x y z then 1 else 0 := by
simp only [Tensor.power, local_coefficient F n a b hab zero selected hne]
fin_cases zero <;> simp [matched, Fintype.prod_boole, ← funext_iff, hinj.eq_iff]
end MatrixMultiplication.CWOrientedZero
end
end
end MatrixAllFields
namespace MatrixAllFields
open scoped BigOperators Topology Polynomial
section
namespace MatrixMultiplication.CWZeroGeometry
open AllFieldParameters AllFieldHistory CWOrientedZero
def zeroAxis (g : Shape) : Fin 3 :=
if g 0 = 0 then 0 else if g 1 = 0 then 1 else 2
def maxAxis (g : Shape) : Fin 3 :=
if g 0 = shapeMax g then 0 else if g 1 = shapeMax g then 1 else 2
theorem zeroAxis_spec (g : Shape) (hz : ∃ i, g i = 0) : g (zeroAxis g) = 0 := by
unfold zeroAxis
split_ifs with h0 h1
· exact h0
· exact h1
· obtain ⟨i, hi⟩ := hz
fin_cases i <;> simp_all
theorem maxAxis_spec (g : Shape) : g (maxAxis g) = shapeMax g := by
have hm : shapeMax g = g 0 ∨ shapeMax g = g 1 ∨ shapeMax g = g 2 := by
unfold shapeMax
rcases le_total (g 0) (max (g 1) (g 2)) with h | h
· rw [max_eq_right h]
rcases le_total (g 1) (g 2) with h | h
· exact Or.inr (Or.inr (max_eq_right h))
· exact Or.inr (Or.inl (max_eq_left h))
· exact Or.inl (max_eq_left h)
unfold maxAxis
split_ifs with h0 h1
· exact h0
· exact h1
· rcases hm with hm | hm | hm
· exact (h0 hm.symm).elim
· exact (h1 hm.symm).elim
· exact hm.symm
theorem shapeMax_le_total (g : Shape) : shapeMax g ≤ shapeTotal g := by
exact max_le (coordinate_le_total g 0)
(max_le (coordinate_le_total g 1) (coordinate_le_total g 2))
theorem shapeMax_pos (g : Shape) (ht : 0 < shapeTotal g) : 0 < shapeMax g := by
have h0 : g 0 ≤ shapeMax g := le_max_left _ _
have h1 : g 1 ≤ shapeMax g := (le_max_left _ _).trans (le_max_right _ _)
have h2 : g 2 ≤ shapeMax g := (le_max_right _ _).trans (le_max_right _ _)
unfold shapeTotal at ht
omega
theorem zero_ne_selected (g : Shape) (zero selected : Fin 3)
(ht : 0 < shapeTotal g) (hz : g zero = 0) (hs : g selected = shapeMax g) :
zero ≠ selected := by
intro he
have hp := shapeMax_pos g ht
rw [← he, hz] at hs
omega
theorem max_add_complement (g : Shape) :
shapeMax g + (shapeTotal g - shapeMax g) = shapeTotal g :=
Nat.add_sub_of_le (shapeMax_le_total g)
theorem eq_placedShape (g : Shape) (zero selected : Fin 3)
(hz : g zero = 0) (hs : g selected = shapeMax g) (hne : zero ≠ selected) :
g = placedShape zero selected (shapeMax g) (shapeTotal g - shapeMax g) := by
funext side
fin_cases zero <;> fin_cases selected
all_goals try contradiction
all_goals fin_cases side <;>
simp_all [placedShape, shapeTotal]
theorem physicalShape_eq_placedShape (g : Shape) (phi : Equiv.Perm (Fin 3))
(zero selected : Fin 3) (hz : g zero = 0)
(hs : g selected = shapeMax g) (hne : zero ≠ selected) :
physicalShape phi g = placedShape (phi zero) (phi selected)
(shapeMax g) (shapeTotal g - shapeMax g) := by
funext side
calc
physicalShape phi g side =
placedShape zero selected (shapeMax g) (shapeTotal g - shapeMax g)
(phi.symm side) := congrFun (eq_placedShape g zero selected hz hs hne) _
_ = _ := by simp only [placedShape, Equiv.symm_apply_eq]
theorem selected_add_remaining (g : Shape) (zero selected side : Fin 3)
(hz : g zero = 0) (hs : g selected = shapeMax g) (hne : zero ≠ selected)
(hzs : side ≠ zero) (hss : side ≠ selected) :
g selected + g side = shapeTotal g := by
have hside : g side = shapeTotal g - shapeMax g := by
rw [congrFun (eq_placedShape g zero selected hz hs hne) side]
simp only [placedShape, ite_eq_right hzs, ite_eq_right hss]
rw [hs, hside]
exact max_add_complement g
end MatrixMultiplication.CWZeroGeometry
end
end MatrixAllFields
end OAI