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import Mathlib
namespace OAI
/-! Exact bilinear formulas and recursive simultaneous matrix products. -/
namespace DeterministicThreeSum.Rectangular
open scoped BigOperators
open Finset
structure BilinearFormula (R I J O K : Type*) where
left : K → I → R
right : K → J → R
out : K → O → R
namespace BilinearFormula
variable {R I J O K : Type*} [CommRing R] [Fintype I] [Fintype J] [Fintype K]
def coeff (f : BilinearFormula R I J O K) (i : I) (j : J) (o : O) : R :=
∑ k, f.left k i * f.right k j * f.out k o
def eval (f : BilinearFormula R I J O K) (x : I → R) (y : J → R) (o : O) : R :=
∑ k, ((∑ i, f.left k i * x i) * (∑ j, f.right k j * y j)) * f.out k o
lemma eval_eq (f : BilinearFormula R I J O K) (x : I → R) (y : J → R) (o : O) :
f.eval x y o = ∑ i, ∑ j, f.coeff i j o * x i * y j := by
simp only [eval, coeff, Finset.sum_mul, Finset.mul_sum]
conv_lhs => rw [Finset.sum_comm]; arg 2; ext j; rw [Finset.sum_comm]
rw [Finset.sum_comm]
apply sum_congr rfl
intro i _
apply sum_congr rfl
intro j _
apply sum_congr rfl
intro k _
ring
end BilinearFormula
end DeterministicThreeSum.Rectangular
namespace DeterministicThreeSum.Rectangular
open Finset
open scoped BigOperators
namespace BilinearFormula
variable {R I J O K : Type*} [CommRing R] [Fintype I] [Fintype J] [Fintype K]
variable {M N P : Type*} [AddCommGroup M] [Module R M]
[AddCommGroup N] [Module R N] [AddCommGroup P] [Module R P]
def evalBilinear (f : BilinearFormula R I J O K) (B : M →ₗ[R] N →ₗ[R] P)
(x : I → M) (y : J → N) (o : O) : P :=
∑ k, f.out k o • B (∑ i, f.left k i • x i) (∑ j, f.right k j • y j)
theorem evalBilinear_eq (f : BilinearFormula R I J O K) (B : M →ₗ[R] N →ₗ[R] P)
(x : I → M) (y : J → N) (o : O) :
f.evalBilinear B x y o = ∑ i, ∑ j, f.coeff i j o • B (x i) (y j) := by
simp only [evalBilinear, coeff, map_sum, map_smul, LinearMap.sum_apply,
LinearMap.smul_apply, Finset.smul_sum, Finset.sum_smul, smul_smul]
conv_lhs => rw [Finset.sum_comm]; arg 2; ext i; rw [Finset.sum_comm]
rw [Finset.sum_comm]
apply sum_congr rfl
intro i _
apply sum_congr rfl
intro j _
apply sum_congr rfl
intro k _
congr 1
ring
end BilinearFormula
def independentMatrixTensor {E A B C : Type*} [DecidableEq E] [DecidableEq A]
[DecidableEq B] [DecidableEq C]
(i : E × A × B) (j : E × B × C) (o : E × A × C) : ℤ :=
if i.1 = j.1 ∧ j.1 = o.1 ∧ i.2.1 = o.2.1 ∧ i.2.2 = j.2.1 ∧ j.2.2 = o.2.2 then 1 else 0
section Independent
variable {R E A B C K : Type*} [CommRing R]
[Fintype E] [Fintype A] [Fintype B] [Fintype C] [Fintype K]
[DecidableEq E] [DecidableEq A] [DecidableEq B] [DecidableEq C]
variable {M N P : Type*} [AddCommGroup M] [Module R M]
[AddCommGroup N] [Module R N] [AddCommGroup P] [Module R P]
lemma independent_evalBilinear
(f : BilinearFormula R (E × A × B) (E × B × C) (E × A × C) K)
(hf : ∀ i j o, f.coeff i j o = (independentMatrixTensor i j o : R))
(mul : M →ₗ[R] N →ₗ[R] P) (x : E × A × B → M) (y : E × B × C → N)
(e : E) (a : A) (c : C) :
f.evalBilinear mul x y (e,a,c) = ∑ b, mul (x (e,a,b)) (y (e,b,c)) := by
classical
rw [BilinearFormula.evalBilinear_eq]
simp only [hf, independentMatrixTensor, Fintype.sum_prod_type]
simp [ite_and]
theorem independent_block_products {U V W : Type*} [Fintype V]
(f : BilinearFormula R (E × A × B) (E × B × C) (E × A × C) K)
(hf : ∀ i j o, f.coeff i j o = (independentMatrixTensor i j o : R))
(x : E × A × B → Matrix U V R) (y : E × B × C → Matrix V W R)
(e : E) (a : A) (c : C) :
f.evalBilinear (mulLinearMap R) x y (e,a,c) =
∑ b, x (e,a,b) * y (e,b,c) := by
exact independent_evalBilinear f hf _ x y e a c
def reindexIndependent {E' K' : Type*}
(f : BilinearFormula R (E × A × B) (E × B × C) (E × A × C) K)
(e : E' ≃ E) (u : K' ≃ K) :
BilinearFormula R (E' × A × B) (E' × B × C) (E' × A × C) K' where
left t i := f.left (u t) (e i.1,i.2)
right t j := f.right (u t) (e j.1,j.2)
out t o := f.out (u t) (e o.1,o.2)
omit [Fintype E] [Fintype A] [Fintype B] [Fintype C] in
lemma reindexIndependent_correct {E' K' : Type*} [Fintype K'] [DecidableEq E']
(f : BilinearFormula R (E × A × B) (E × B × C) (E × A × C) K)
(hf : ∀ i j o, f.coeff i j o = (independentMatrixTensor i j o : R))
(e : E' ≃ E) (u : K' ≃ K) (i : E' × A × B) (j : E' × B × C)
(o : E' × A × C) :
(reindexIndependent f e u).coeff i j o = (independentMatrixTensor i j o : R) := by
unfold BilinearFormula.coeff reindexIndependent
change (∑ t, f.left (u t) (e i.1,i.2)*f.right (u t) (e j.1,j.2)*
f.out (u t) (e o.1,o.2)) = _
rw [u.sum_comp (fun z => f.left z (e i.1,i.2)*f.right z (e j.1,j.2)*
f.out z (e o.1,o.2))]
change f.coeff (e i.1,i.2) (e j.1,j.2) (e o.1,o.2) = _
rw [hf]
simp only [independentMatrixTensor, Equiv.apply_eq_iff_eq]
end Independent
end DeterministicThreeSum.Rectangular
namespace DeterministicThreeSum.Rectangular
open Finset
open scoped BigOperators
noncomputable section
abbrev DigitBox (a j : ℕ) : Type :=
Nat.rec (Fin 1) (fun _ W => Fin a × W) j
instance digitBoxZero (a : ℕ) : OfNat (DigitBox a 0) 0 :=
inferInstanceAs (OfNat (Fin 1) 0)
instance digitBoxSubsingleton (a : ℕ) : Subsingleton (DigitBox a 0) :=
inferInstanceAs (Subsingleton (Fin 1))
instance digitBoxFintype (a j : ℕ) : Fintype (DigitBox a j) := by
induction j with
| zero => exact inferInstanceAs (Fintype (Fin 1))
| succ j ih =>
letI := ih
exact inferInstanceAs (Fintype (Fin a × DigitBox a j))
lemma card_DigitBox (a j : ℕ) : Fintype.card (DigitBox a j) = a^j := by
induction j with
| zero => simp [DigitBox]
| succ j ih =>
change Fintype.card (Fin a × DigitBox a j) = _
rw [Fintype.card_prod, Fintype.card_fin, ih, pow_succ, mul_comm]
def batchCount (t k : ℕ) : ℕ := t ⌈/⌉ k
lemma batchCount_covers (t k : ℕ) (hk : 0 < k) : t ≤ k * batchCount t k :=
(ceilDiv_le_iff_le_mul hk).mp le_rfl
variable {R : Type*} [CommRing R] {a b k r j t : ℕ}
abbrev FixedFormula (R : Type*) (a b k r : ℕ) :=
BilinearFormula R (Fin k × Fin a × Fin b) (Fin k × Fin b × Fin a)
(Fin k × Fin a × Fin a) (Fin r)
abbrev LeftBatch (R : Type*) (a b j t : ℕ) :=
Fin t → Matrix (DigitBox a j) (DigitBox b j) R
abbrev RightBatch (R : Type*) (a b j t : ℕ) :=
Fin t → Matrix (DigitBox b j) (DigitBox a j) R
abbrev OutputBatch (R : Type*) (a j t : ℕ) :=
Fin t → Matrix (DigitBox a j) (DigitBox a j) R
def paddedLeft (x : LeftBatch R a b (j+1) t) (q : Fin (batchCount t k))
(i : Fin k × Fin a × Fin b) : Matrix (DigitBox a j) (DigitBox b j) R :=
if h : q.val*k+i.1.val < t then
fun u v => x ⟨q.val*k+i.1.val,h⟩ (i.2.1,u) (i.2.2,v)
else 0
def paddedRight (y : RightBatch R a b (j+1) t) (q : Fin (batchCount t k))
(i : Fin k × Fin b × Fin a) : Matrix (DigitBox b j) (DigitBox a j) R :=
if h : q.val*k+i.1.val < t then
fun u v => y ⟨q.val*k+i.1.val,h⟩ (i.2.1,u) (i.2.2,v)
else 0
def childLeft (f : FixedFormula R a b k r) (x : LeftBatch R a b (j+1) t) :
LeftBatch R a b j (batchCount t k*r) := fun z =>
let qs : Fin (batchCount t k) × Fin r := finProdFinEquiv.symm z
∑ i, f.left qs.2 i • paddedLeft x qs.1 i
def childRight (f : FixedFormula R a b k r) (y : RightBatch R a b (j+1) t) :
RightBatch R a b j (batchCount t k*r) := fun z =>
let qs : Fin (batchCount t k) × Fin r := finProdFinEquiv.symm z
∑ i, f.right qs.2 i • paddedRight y qs.1 i
def parentBatch (hk : 0 < k) (e : Fin t) : Fin (batchCount t k) :=
⟨e.val/k, (Nat.div_lt_iff_lt_mul hk).mpr
(e.isLt.trans_le (by simpa [Nat.mul_comm] using batchCount_covers t k hk))⟩
def parentSlot (hk : 0 < k) (e : Fin t) : Fin k := ⟨e.val%k,Nat.mod_lt e.val hk⟩
lemma parent_index (hk : 0 < k) (e : Fin t) :
(parentBatch hk e).val*k+(parentSlot hk e).val = e.val := by
simpa only [parentBatch, parentSlot, Nat.mul_comm] using Nat.div_add_mod e.val k
def combineChildren (f : FixedFormula R a b k r) (hk : 0 < k)
(z : OutputBatch R a j (batchCount t k*r)) : OutputBatch R a (j+1) t :=
fun e uv wv => ∑ s : Fin r,
f.out s (parentSlot hk e,uv.1,wv.1) *
z (finProdFinEquiv (parentBatch hk e,s)) uv.2 wv.2
lemma paddedLeft_parent (hk : 0 < k) (x : LeftBatch R a b (j+1) t)
(e : Fin t) (u : Fin a) (v : Fin b) :
paddedLeft x (parentBatch hk e) (parentSlot hk e,u,v) =
fun i j => x e (u,i) (v,j) := by
unfold paddedLeft
erw [dite_eq_left (show (parentBatch hk e).val*k+(parentSlot hk e).val < t by
rw [parent_index]; exact e.isLt)]
simp only [parent_index, Fin.eta]
rfl
lemma paddedRight_parent (hk : 0 < k) (y : RightBatch R a b (j+1) t)
(e : Fin t) (u : Fin b) (v : Fin a) :
paddedRight y (parentBatch hk e) (parentSlot hk e,u,v) =
fun i j => y e (u,i) (v,j) := by
unfold paddedRight
erw [dite_eq_left (show (parentBatch hk e).val*k+(parentSlot hk e).val < t by
rw [parent_index]; exact e.isLt)]
simp only [parent_index, Fin.eta]
rfl
lemma combineChildren_correct (f : FixedFormula R a b k r) (hk : 0 < k)
(hf : ∀ i j o, f.coeff i j o = (independentMatrixTensor i j o : R))
(x : LeftBatch R a b (j+1) t) (y : RightBatch R a b (j+1) t) :
combineChildren f hk (fun z => childLeft f x z * childRight f y z) =
fun e => x e * y e := by
funext e uv wv
have h := independent_block_products f hf
(paddedLeft x (parentBatch hk e)) (paddedRight y (parentBatch hk e))
(parentSlot hk e) uv.1 wv.1
have hv := congrFun (congrFun h uv.2) wv.2
simp only [BilinearFormula.evalBilinear, Matrix.sum_apply, Matrix.smul_apply,
mulLinearMap, mulLeftLinearMap, LinearMap.coe_mk, AddHom.coe_mk, smul_eq_mul] at hv
change (∑ s, f.out s (parentSlot hk e,uv.1,wv.1) *
(childLeft f x (finProdFinEquiv (parentBatch hk e,s)) *
childRight f y (finProdFinEquiv (parentBatch hk e,s))) uv.2 wv.2) = _
simp only [childLeft, childRight, Equiv.symm_apply_apply]
rw [hv]
simp only [Matrix.mul_apply, Fintype.sum_prod_type]
simp only [paddedLeft_parent, paddedRight_parent]
def multiplyBatch (f : FixedFormula R a b k r) (hk : 0 < k) :
(j t : ℕ) → LeftBatch R a b j t → RightBatch R a b j t → OutputBatch R a j t
| 0, _, x, y => fun e _ _ => x e 0 0 * y e 0 0
| j+1, t, x, y => combineChildren f hk
(multiplyBatch f hk j (batchCount t k*r) (childLeft f x) (childRight f y))
theorem multiplyBatch_correct (f : FixedFormula R a b k r) (hk : 0 < k)
(hf : ∀ i j o, f.coeff i j o = (independentMatrixTensor i j o : R))
(j t : ℕ) (x : LeftBatch R a b j t) (y : RightBatch R a b j t) :
multiplyBatch f hk j t x y = fun e => x e * y e := by
induction j generalizing t with
| zero =>
funext e i l
have hi : i = 0 := Subsingleton.elim _ _
have hl : l = 0 := Subsingleton.elim _ _
subst i; subst l
simp [multiplyBatch, Matrix.mul_apply]
| succ j ih =>
rw [multiplyBatch, ih]
exact combineChildren_correct f hk hf x y
end
end DeterministicThreeSum.Rectangular
end OAI