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Add lean source and binary files (part 84)
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import Mathlib
import OAI.LinearAlgebra.MatrixFields.Arithmetic.ComplexArithmeticGrowth
import OAI.LinearAlgebra.MatrixFields.Arithmetic.RecursiveBlockPrograms
namespace OAI
namespace MatrixAllFields
open scoped BigOperators Topology Polynomial
noncomputable section
namespace MatrixMultiplication.Arithmetic
variable {F : Type*} [Field F]
theorem rectangular_power_cost_padding_bound
{a b : ℕ} (ha : 2 ≤ a) {k s C : ℝ} (hk : 0 ≤ k)
(hab : (a : ℝ) ^ k ≤ (b : ℝ)) (hs : 0 ≤ s) (hC : 0 < C)
(hpower : ∀ t : ℕ, ∃ P : MatrixAlgorithm F (a ^ t) (b ^ t) (a ^ t),
P.Correct ∧ (P.cost : ℝ) ≤ C * ((a : ℝ) ^ s) ^ t) :
∃ D : ℝ, 0 < D ∧ ∀ n : ℕ, 1 ≤ n →
∃ P : MatrixAlgorithm F n (innerSize n k) n,
P.Correct ∧ (P.cost : ℝ) ≤ D * (n : ℝ) ^ s := by
have hapos : 0 < (a : ℝ) := by exact_mod_cast (by omega : 0 < a)
refine ⟨C * (a : ℝ) ^ s, mul_pos hC (Real.rpow_pos_of_pos hapos s), ?_⟩
intro n hn
obtain ⟨t, hnt, htn⟩ := MatrixMultiplication.Foundation.Arithmetic.exists_power_cover ha hn
obtain ⟨P, hP, hcost⟩ := hpower t
obtain ⟨Q, hQ, hQP⟩ := MatrixAlgorithm.exists_restrict
hnt (innerSize_le_pow hk hnt hab) hnt P hP
refine ⟨Q, hQ, ?_⟩
calc
(Q.cost : ℝ) ≤ (P.cost : ℝ) := by exact_mod_cast hQP
_ ≤ C * ((a : ℝ) ^ s) ^ t := hcost
_ = C * ((a ^ t : ℕ) : ℝ) ^ s := by
rw [Real.rpow_pow_comm hapos.le, Nat.cast_pow]
_ ≤ C * ((a : ℝ) * (n : ℝ)) ^ s :=
mul_le_mul_of_nonneg_left
(Real.rpow_le_rpow (Nat.cast_nonneg _) (by exact_mod_cast htn) hs) hC.le
_ = (C * (a : ℝ) ^ s) * (n : ℝ) ^ s := by
rw [Real.mul_rpow hapos.le (Nat.cast_nonneg n)]
ring
theorem rectangularAdmissibleExponent_of_power_costs
{a b : ℕ} (ha : 2 ≤ a) {k τ : ℝ} (hk : 0 ≤ k)
(hab : (a : ℝ) ^ k ≤ (b : ℝ)) (hτ : 0 ≤ τ)
(hpower : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ, 0 < C ∧
∀ t : ℕ, ∃ P : MatrixAlgorithm F (a ^ t) (b ^ t) (a ^ t),
P.Correct ∧ (P.cost : ℝ) ≤ C * ((a : ℝ) ^ (τ + ε)) ^ t) :
RectangularAdmissibleExponent F k τ := by
intro ε hε
obtain ⟨C, hC, hcost⟩ := hpower ε hε
exact rectangular_power_cost_padding_bound ha hk hab (by linarith) hC hcost
def rectangularBlockCost (a b R K : ℕ) : ℕ → ℕ
| 0 => 1
| t + 1 => R * rectangularBlockCost a b R K t + K * ((a * b) ^ t + (a ^ 2) ^ t)
@[simp] theorem rectangularBlockCost_zero (a b R K : ℕ) :
rectangularBlockCost a b R K 0 = 1 := rfl
@[simp] theorem rectangularBlockCost_succ (a b R K t : ℕ) :
rectangularBlockCost a b R K (t + 1) =
R * rectangularBlockCost a b R K t + K * ((a * b) ^ t + (a ^ 2) ^ t) := rfl
theorem rectangularBlockCost_bound {a b R K : ℕ} (ha : 2 ≤ a)
{τ ε : ℝ} (hε : 0 < ε)
(hR : (R : ℝ) ≤ (a : ℝ) ^ τ)
(hin : (a * b : ℕ) ≤ (a : ℝ) ^ τ)
(hout : (a : ℝ) ^ (2 : ℕ) ≤ (a : ℝ) ^ τ) :
∃ C : ℝ, 0 < C ∧ ∀ t,
(rectangularBlockCost a b R K t : ℝ) ≤ C * ((a : ℝ) ^ (τ + ε)) ^ t := by
have haone : 1 < (a : ℝ) := by exact_mod_cast (by omega : 1 < a)
have hrate : (R : ℝ) < (a : ℝ) ^ (τ + ε) :=
hR.trans_lt (Real.rpow_lt_rpow_of_exponent_lt haone (by linarith))
have hlarge : (a : ℝ) ^ τ ≤ (a : ℝ) ^ (τ + ε) :=
Real.rpow_le_rpow_of_exponent_le haone.le (by linarith)
have hin0 : (0 : ℝ) ≤ (a * b : ℕ) := Nat.cast_nonneg _
have hd : 0 ≤ max ((a * b : ℕ) : ℝ) ((a : ℝ) ^ (2 : ℕ)) :=
hin0.trans (le_max_left _ _)
apply MatrixMultiplication.Foundation.Arithmetic.geometric_cost_recurrence_bound
(fun t => (rectangularBlockCost a b R K t : ℝ))
(R : ℝ) (2 * K) (max ((a * b : ℕ) : ℝ) ((a : ℝ) ^ (2 : ℕ)))
((a : ℝ) ^ (τ + ε)) (Nat.cast_nonneg _) (Nat.cast_nonneg _)
(by positivity) hd hrate (max_le (hin.trans hlarge) (hout.trans hlarge))
intro t
simp only [rectangularBlockCost_succ, Nat.cast_add, Nat.cast_mul, Nat.cast_pow]
have h1 : ((a : ℝ) * (b : ℝ)) ^ t ≤
max ((a * b : ℕ) : ℝ) ((a : ℝ) ^ (2 : ℕ)) ^ t := by
apply pow_le_pow_left₀ (by positivity)
simpa only [Nat.cast_mul] using le_max_left ((a * b : ℕ) : ℝ) ((a : ℝ) ^ (2 : ℕ))
have h2 : ((a : ℝ) ^ (2 : ℕ)) ^ t ≤
max ((a * b : ℕ) : ℝ) ((a : ℝ) ^ (2 : ℕ)) ^ t :=
pow_le_pow_left₀ (sq_nonneg _) (le_max_right _ _) t
simp only [Nat.cast_mul] at h1 h2
nlinarith [mul_le_mul_of_nonneg_left (add_le_add h1 h2) (Nat.cast_nonneg K)]
theorem rectangular_power_programs_of_block_step {a b R K : ℕ}
(hscalar : ∃ P : MatrixAlgorithm F 1 1 1, P.Correct ∧ P.cost ≤ 1)
(hstep : ∀ m p : ℕ, ∀ P : MatrixAlgorithm F m p m, P.Correct →
∃ Q : MatrixAlgorithm F (a * m) (b * p) (a * m), Q.Correct ∧
Q.cost ≤ R * P.cost + K * (m * p + m ^ 2)) :
∀ t : ℕ, ∃ P : MatrixAlgorithm F (a ^ t) (b ^ t) (a ^ t),
P.Correct ∧ P.cost ≤ rectangularBlockCost a b R K t := by
intro t
induction t with
| zero => simpa using hscalar
| succ t ih =>
obtain ⟨P, hP, hcost⟩ := ih
obtain ⟨Q, hQ, hQcost⟩ := hstep (a ^ t) (b ^ t) P hP
have hbound : Q.cost ≤ rectangularBlockCost a b R K (t + 1) := by
apply hQcost.trans
simp only [rectangularBlockCost_succ, mul_pow, ← pow_mul, Nat.mul_comm t 2]
exact Nat.add_le_add_right (Nat.mul_le_mul_left R hcost) _
have hresult : ∃ Q : MatrixAlgorithm F (a * a ^ t) (b * b ^ t) (a * a ^ t),
Q.Correct ∧ Q.cost ≤ rectangularBlockCost a b R K (t + 1) := ⟨Q, hQ, hbound⟩
exact (pow_succ' a t).symm ▸ ((pow_succ' b t).symm ▸ hresult)
theorem rectangularAdmissibleExponent_of_block_step
{a b R K : ℕ} (ha : 2 ≤ a) {k τ : ℝ} (hk : 0 ≤ k)
(hab : (a : ℝ) ^ k ≤ (b : ℝ)) (hτ : 0 ≤ τ)
(hR : (R : ℝ) ≤ (a : ℝ) ^ τ)
(hin : (a * b : ℕ) ≤ (a : ℝ) ^ τ)
(hout : (a : ℝ) ^ (2 : ℕ) ≤ (a : ℝ) ^ τ)
(hscalar : ∃ P : MatrixAlgorithm F 1 1 1, P.Correct ∧ P.cost ≤ 1)
(hstep : ∀ m p : ℕ, ∀ P : MatrixAlgorithm F m p m, P.Correct →
∃ Q : MatrixAlgorithm F (a * m) (b * p) (a * m), Q.Correct ∧
Q.cost ≤ R * P.cost + K * (m * p + m ^ 2)) :
RectangularAdmissibleExponent F k τ := by
apply rectangularAdmissibleExponent_of_power_costs ha hk hab hτ
intro ε hε
obtain ⟨C, hC, hbound⟩ := rectangularBlockCost_bound (K := K) ha hε hR hin hout
refine ⟨C, hC, ?_⟩
intro t
obtain ⟨P, hP, hcost⟩ := rectangular_power_programs_of_block_step hscalar hstep t
exact ⟨P, hP, (by exact_mod_cast hcost : (P.cost : ℝ) ≤
(rectangularBlockCost a b R K t : ℝ)).trans (hbound t)⟩
end MatrixMultiplication.Arithmetic
end
end MatrixAllFields
end OAI