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Add lean source and binary files (part 84)
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import Mathlib
import OAI.LinearAlgebra.MatrixFields.Histories.InheritedMaskMargins
import OAI.LinearAlgebra.MatrixFields.Tensors.TerminalRelabel
namespace OAI
namespace MatrixAllFields
open scoped BigOperators Topology Polynomial
section
namespace MatrixMultiplication.LeafVolumes
open MatrixMultiplication.Foundation
open scoped BigOperators
variable {F U : Type*} [CommSemiring F] [DecidableEq U]
def zeroXMatching : Tensor F Unit U U := fun _ y z => if y = z then 1 else 0
def zeroYMatching : Tensor F U Unit U := fun x _ z => if x = z then 1 else 0
def zeroZMatching : Tensor F U U Unit := fun x y _ => if x = y then 1 else 0
theorem zeroXMatching_matrixCoefficients :
Tensor.pullback (fun _ : Unit × Unit => ())
(fun y : Unit × U => y.2) (fun z : U × Unit => z.1)
(zeroXMatching (F := F) (U := U)) =
Tensor.matrixCoefficients Unit Unit U := by
funext x y z
simp [Tensor.pullback, zeroXMatching, Tensor.matrixCoefficients]
theorem zeroYMatching_matrixCoefficients :
Tensor.pullback (fun x : U × Unit => x.1)
(fun _ : Unit × Unit => ()) (fun z : Unit × U => z.2)
(zeroYMatching (F := F) (U := U)) =
Tensor.matrixCoefficients U Unit Unit := by
funext x y z
simp [Tensor.pullback, zeroYMatching, Tensor.matrixCoefficients, eq_comm]
theorem zeroZMatching_matrixCoefficients :
Tensor.pullback (fun x : Unit × U => x.2)
(fun y : U × Unit => y.1) (fun _ : Unit × Unit => ())
(zeroZMatching (F := F) (U := U)) =
Tensor.matrixCoefficients Unit U Unit := by
funext x y z
simp [Tensor.pullback, zeroZMatching, Tensor.matrixCoefficients]
def complementaryMatching {V : Type*} [DecidableEq V] (e : U ≃ V) :
Tensor F Unit U V := fun _ y z => if e y = z then 1 else 0
theorem complementaryMatching_pullback {V : Type*} [DecidableEq V] (e : U ≃ V) :
Tensor.pullback id id e (complementaryMatching (F := F) e) =
zeroXMatching (F := F) (U := U) := by
funext x y z
simp [Tensor.pullback, complementaryMatching, zeroXMatching]
theorem zeroXMatching_subtype (p : U → Prop) [DecidablePred p] :
Tensor.pullback id (Subtype.val : {u // p u} → U) Subtype.val
(zeroXMatching (F := F) (U := U)) =
zeroXMatching (F := F) (U := {u // p u}) := by
funext x y z
simp [Tensor.pullback, zeroXMatching, Subtype.ext_iff]
theorem matchingPower_leaf {X Y Z : Type*} [DecidableEq Y]
(T : Tensor F X Y Z) (x₀ : X) (e : Y ≃ Z)
(hmatch : ∀ y z, T x₀ y (e z) = if y = z then 1 else 0)
(n : ℕ) (p : (Fin n → Y) → Prop) [DecidablePred p] :
Tensor.pullback (fun _ : Unit => fun _ : Fin n => x₀)
(Subtype.val : {w // p w} → (Fin n → Y))
(fun w : {w // p w} => fun i => e (w.val i)) (Tensor.power T n) =
zeroXMatching (F := F) (U := {w // p w}) := by
funext x y z
simp only [Tensor.pullback, Tensor.power, hmatch, zeroXMatching,
Fintype.prod_boole, ← funext_iff, Subtype.ext_iff]
theorem matchingPower_matrixCoefficients {X Y Z : Type*} [DecidableEq Y]
(T : Tensor F X Y Z) (x₀ : X) (e : Y ≃ Z)
(hmatch : ∀ y z, T x₀ y (e z) = if y = z then 1 else 0)
(n : ℕ) (p : (Fin n → Y) → Prop) [DecidablePred p] :
Tensor.pullback (fun _ : Unit × Unit => fun _ : Fin n => x₀)
(fun y : Unit × {w // p w} => y.2.val)
(fun z : {w // p w} × Unit => fun i => e (z.1.val i))
(Tensor.power T n) =
Tensor.matrixCoefficients Unit Unit {w // p w} := by
have h := matchingPower_leaf T x₀ e hmatch n p
have hp := congrArg (Tensor.pullback (fun _ : Unit × Unit => ())
(fun y : Unit × {w // p w} => y.2)
(fun z : {w // p w} × Unit => z.1)) h
rw [zeroXMatching_matrixCoefficients] at hp
exact hp
theorem rankAtMost_matchingPower_leaf {X Y Z : Type*} [DecidableEq Y]
(T : Tensor F X Y Z) (x₀ : X) (e : Y ≃ Z)
(hmatch : ∀ y z, T x₀ y (e z) = if y = z then 1 else 0)
(n : ℕ) (p : (Fin n → Y) → Prop) [DecidablePred p]
{r : ℕ} (hT : Tensor.RankAtMost (Tensor.power T n) r) :
Tensor.RankAtMost (Tensor.matrixCoefficients (K := F) Unit Unit {w // p w}) r := by
rw [← matchingPower_matrixCoefficients T x₀ e hmatch n p]
exact hT.pullback _ _ _
section ExactLabeledWords
variable {A : Type*} [Fintype A] [DecidableEq A]
abbrev LabeledExactWords (counts b : A → ℕ) :=
Σ w : ExactWords counts, ∀ i : Fin (∑ a, counts a), Fin (b (w.val i))
theorem labelings_card {I : Type*} [Fintype I] [DecidableEq I]
(w : I → A) (b : A → ℕ) :
Fintype.card (∀ i, Fin (b (w i))) =
∏ a, b a ^ wordPopulation w a := by
classical
simp only [Fintype.card_pi, Fintype.card_fin]
calc
(∏ i, b (w i)) = ∏ s : Σ a, {i // w i = a}, b s.1 := by
rw [← (Equiv.sigmaFiberEquiv w).prod_comp (fun i => b (w i))]
apply Finset.prod_congr rfl
intro s _
exact congrArg b s.2.property
_ = ∏ a, b a ^ wordPopulation w a := by
simp [Fintype.prod_sigma, wordPopulation]
theorem labeledExactWords_card (counts b : A → ℕ) :
Fintype.card (LabeledExactWords counts b) =
Nat.multinomial Finset.univ counts * ∏ a, b a ^ counts a := by
classical
rw [Fintype.card_sigma]
have hcard : ∀ w : ExactWords counts,
Fintype.card (∀ i : Fin (∑ a, counts a), Fin (b (w.val i))) =
∏ a, b a ^ counts a := by
intro w
rw [labelings_card]
simp only [w.property]
simp only [hcard, Finset.sum_const, Finset.card_univ, smul_eq_mul,
exactWords_card]
theorem labeledExactWords_card_pos (counts b : A → ℕ)
(hb : ∀ a, counts a ≠ 0 → 0 < b a) :
0 < Fintype.card (LabeledExactWords counts b) := by
classical
rw [labeledExactWords_card]
apply Nat.mul_pos (Nat.multinomial_pos Finset.univ counts)
apply Finset.prod_pos
intro a _
by_cases h : counts a = 0
· simp [h]
· exact pow_pos (hb a h) _
end ExactLabeledWords
structure Dimensions where
rows : ℕ
inner : ℕ
cols : ℕ
deriving DecidableEq
def Dimensions.volume (d : Dimensions) : ℕ := d.rows * d.inner * d.cols
def Dimensions.product (d e : Dimensions) : Dimensions :=
⟨d.rows * e.rows, d.inner * e.inner, d.cols * e.cols⟩
theorem Dimensions.volume_product (d e : Dimensions) :
(d.product e).volume = d.volume * e.volume := by
simp only [Dimensions.product, Dimensions.volume]
ring
def historyDimensions {C : Type*} [Fintype C] (d : C → Dimensions) : Dimensions :=
⟨∏ c, (d c).rows, ∏ c, (d c).inner, ∏ c, (d c).cols⟩
theorem historyDimensions_volume {C : Type*} [Fintype C] (d : C → Dimensions) :
(historyDimensions d).volume = ∏ c, (d c).volume := by
simp [historyDimensions, Dimensions.volume, Finset.prod_mul_distrib]
end MatrixMultiplication.LeafVolumes
noncomputable section
namespace MatrixMultiplication.ExactStatisticWords
open MatrixMultiplication.Foundation
open scoped BigOperators
variable {A U : Type*} [Fintype A] [DecidableEq A] [Fintype U] [DecidableEq U]
abbrev Words (statistic : U → A) (counts : A → ℕ) :=
{w : Fin (∑ a, counts a) → U //
∀ a, wordPopulation (statistic ∘ w) a = counts a}
def statisticWord (statistic : U → A) (counts : A → ℕ)
(w : Words statistic counts) : ExactWords counts :=
⟨statistic ∘ w.val, w.property⟩
omit [Fintype U] [DecidableEq U] in
theorem empiricalLaw_eq (statistic : U → A) (counts : A → ℕ)
(w : Words statistic counts) :
InheritedMasks.empiricalLaw (statistic ∘ w.val) =
fun a => (counts a : ℝ) / (∑ a, counts a : ℕ) := by
funext a
simp only [InheritedMasks.empiricalLaw, w.property, Fintype.card_fin]
omit [Fintype U] [DecidableEq U] in
theorem typeWindow_of_counts (statistic : U → A) (counts : A → ℕ)
(w : Words statistic counts) (ν : A → ℝ) (η : ℝ)
(happrox : ∀ a, |(counts a : ℝ) / (∑ a, counts a : ℕ) - ν a| ≤ η) :
InheritedMasks.typeWindow ν η (statistic ∘ w.val) := by
intro a
rw [empiricalLaw_eq]
exact happrox a
omit [Fintype U] [DecidableEq U] in
theorem sum_statistic_weight (statistic : U → A) (counts q : A → ℕ)
(w : Words statistic counts) :
(∑ i, q (statistic (w.val i))) = ∑ a, counts a * q a := by
let e := Equiv.sigmaFiberEquiv (statistic ∘ w.val)
calc
(∑ i, q (statistic (w.val i))) =
∑ p : (Σ a, {i // (statistic ∘ w.val) i = a}), q p.1 := by
rw [← Equiv.sum_comp e (fun i => q (statistic (w.val i)))]
apply Finset.sum_congr rfl
intro p _
exact congrArg q p.2.property
_ = ∑ a, counts a * q a := by
rw [Fintype.sum_sigma]
apply Finset.sum_congr rfl
intro a _
simp only [Finset.sum_const, Finset.card_univ, smul_eq_mul]
change wordPopulation (statistic ∘ w.val) a * q a = counts a * q a
rw [w.property]
def fiberEquiv (statistic : U → A) (counts : A → ℕ) (w : ExactWords counts) :
{v : Words statistic counts // statisticWord statistic counts v = w} ≃
{v : Fin (∑ a, counts a) → U // ∀ i, statistic (v i) = w.val i} where
toFun v := ⟨v.val.val, fun i => congrFun (congrArg Subtype.val v.property) i⟩
invFun v := by
have heq : statistic ∘ v.val = w.val := funext v.property
let v' : Words statistic counts := ⟨v.val, fun a => by
rw [heq]
exact w.property a⟩
exact ⟨v', Subtype.ext heq⟩
left_inv v := by
apply Subtype.ext
apply Subtype.ext
rfl
right_inv v := by
apply Subtype.ext
rfl
omit [DecidableEq U] in
theorem card (statistic : U → A) (counts b : A → ℕ)
(hb : ∀ a, Fintype.card {u : U // statistic u = a} = b a) :
Fintype.card (Words statistic counts) =
Nat.multinomial Finset.univ counts * ∏ a, b a ^ counts a := by
classical
have hfiber (w : ExactWords counts) :
Fintype.card {v : Words statistic counts // statisticWord statistic counts v = w} =
∏ a, b a ^ counts a := by
let e : {v : Fin (∑ a, counts a) → U // ∀ i, statistic (v i) = w.val i} ≃
(∀ i : Fin (∑ a, counts a), {u : U // statistic u = w.val i}) :=
{ toFun := fun v i => ⟨v.val i, v.property i⟩
invFun := fun v => ⟨fun i => (v i).val, fun i => (v i).property⟩
left_inv := by intro v; rfl
right_inv := by intro v; rfl }
rw [Fintype.card_congr (fiberEquiv statistic counts w),
Fintype.card_congr e, Fintype.card_pi]
simp only [hb]
have h := LeafVolumes.labelings_card w.val b
simpa only [Fintype.card_pi, Fintype.card_fin, w.property] using h
calc
Fintype.card (Words statistic counts) =
Fintype.card (Σ w : ExactWords counts,
{v : Words statistic counts // statisticWord statistic counts v = w}) :=
(Fintype.card_congr (Equiv.sigmaFiberEquiv (statisticWord statistic counts))).symm
_ = Nat.multinomial Finset.univ counts * ∏ a, b a ^ counts a := by
simp only [Fintype.card_sigma, hfiber, Finset.sum_const, Finset.card_univ,
smul_eq_mul, exactWords_card]
omit [DecidableEq U] in
theorem card_of_supported (statistic : U → A) (counts b : A → ℕ)
(hb : ∀ a, 0 < counts a → Fintype.card {u : U // statistic u = a} = b a) :
Fintype.card (Words statistic counts) =
Nat.multinomial Finset.univ counts * ∏ a, b a ^ counts a := by
rw [card statistic counts (fun a => Fintype.card {u : U // statistic u = a})
(fun _ => rfl)]
congr 1
apply Finset.prod_congr rfl
intro a _
by_cases ha : counts a = 0
· simp [ha]
· rw [hb a (Nat.pos_of_ne_zero ha)]
omit [Fintype A] [DecidableEq U] in
theorem card_fixedWeight_fiber (statistic : U → A) (weight : U → ℕ)
(statisticWeight : A → ℕ) (hweight : ∀ u, weight u = statisticWeight (statistic u))
(a : ℕ) (s : A) (hs : statisticWeight s = a) :
Fintype.card {u : {u : U // weight u = a} // statistic u.val = s} =
Fintype.card {u : U // statistic u = s} := by
apply Fintype.card_congr
exact
{ toFun := fun u => ⟨u.val.val, u.property⟩
invFun := fun u => ⟨⟨u.val, by rw [hweight, u.property, hs]⟩, u.property⟩
left_inv := by intro u; rfl
right_inv := by intro u; rfl }
omit [DecidableEq U] in
theorem card_pos_of_supported (statistic : U → A) (counts b : A → ℕ)
(hb : ∀ a, 0 < counts a → Fintype.card {u : U // statistic u = a} = b a)
(hpos : ∀ a, 0 < counts a → 0 < b a) :
0 < Fintype.card (Words statistic counts) := by
rw [card_of_supported statistic counts b hb]
apply Nat.mul_pos (Nat.multinomial_pos Finset.univ counts)
apply Finset.prod_pos
intro a _
by_cases ha : counts a = 0
· simp [ha]
· exact pow_pos (hpos a (Nat.pos_of_ne_zero ha)) _
end MatrixMultiplication.ExactStatisticWords
end
end
end MatrixAllFields
end OAI