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import OAI.LinearAlgebra.MatrixMultiplication.ComplexArithmetic.Complexity
import OAI.LinearAlgebra.MatrixMultiplication.ComplexArithmetic.MatrixPadding
import OAI.LinearAlgebra.MatrixMultiplication.ComplexArithmetic.RecursiveBlockPrograms
import Mathlib.Data.Nat.Log
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Ring
import Lean.Elab.Tactic.Omega
namespace OAI
/-! Complex arithmetic programs and asymptotic matrix multiplication costs. -/
noncomputable section
namespace MatrixMultiplication.Foundation.Arithmetic
theorem exists_power_cover {b n : ℕ} (hb : 2 ≤ b) (hn : 1 ≤ n) :
∃ k : ℕ, n ≤ b ^ k ∧ b ^ k ≤ b * n := by
refine ⟨Nat.log b n + 1, (Nat.lt_pow_succ_log_self (by omega) n).le, ?_⟩
rw [pow_succ']
exact Nat.mul_le_mul_left b (Nat.pow_log_le_self b (by omega))
theorem geometric_cost_recurrence_bound (x : ℕ → ℝ) (a b d q : ℝ)
(hx : 0 ≤ x 0) (ha : 0 ≤ a) (hb : 0 ≤ b) (hd : 0 ≤ d)
(haq : a < q) (hdq : d ≤ q)
(hstep : ∀ k, x (k + 1) ≤ a * x k + b * d ^ k) :
∃ C : ℝ, 0 < C ∧ ∀ k, x k ≤ C * q ^ k := by
let C := x 0 + b / (q - a) + 1
have hgap : 0 < q - a := sub_pos.mpr haq
have hfrac : 0 ≤ b / (q - a) := div_nonneg hb hgap.le
have hC : 0 < C := by dsimp [C]; linarith
have hcancel : (q - a) * (b / (q - a)) = b := by
field_simp [ne_of_gt hgap]
have hCfrac : b / (q - a) ≤ C := by dsimp [C]; linarith
have hcoeff : a * C + b ≤ C * q := by
have hmul := mul_le_mul_of_nonneg_left hCfrac hgap.le
rw [hcancel] at hmul
calc
a * C + b ≤ a * C + (q - a) * C := add_le_add_right hmul _
_ = C * q := by ring
refine ⟨C, hC, ?_⟩
intro k
induction k with
| zero => simp only [pow_zero, mul_one]; dsimp [C]; linarith
| succ k ih =>
calc
x (k + 1) ≤ a * x k + b * d ^ k := hstep k
_ ≤ a * (C * q ^ k) + b * q ^ k :=
add_le_add (mul_le_mul_of_nonneg_left ih ha)
(mul_le_mul_of_nonneg_left (pow_le_pow_left₀ hd hdq k) hb)
_ = (a * C + b) * q ^ k := by ring
_ ≤ (C * q) * q ^ k :=
mul_le_mul_of_nonneg_right hcoeff (pow_nonneg (hd.trans hdq) k)
_ = C * q ^ (k + 1) := by rw [pow_succ]; ring
theorem power_cost_padding_bound
(hpad : ∀ {n m : ℕ}, n ≤ m → ∀ P : MatrixAlgorithm m, P.Correct →
∃ Q : MatrixAlgorithm n, Q.Correct ∧ Q.cost ≤ P.cost)
{b : ℕ} (hb : 2 ≤ b) {s C : ℝ} (hs : 0 ≤ s) (hC : 0 < C)
(hpower : ∀ k : ℕ, ∃ P : MatrixAlgorithm (b ^ k),
P.Correct ∧ (P.cost : ℝ) ≤ C * ((b : ℝ) ^ s) ^ k) :
∃ D : ℝ, 0 < D ∧ ∀ n : ℕ, 1 ≤ n → ∃ P : MatrixAlgorithm n,
P.Correct ∧ (P.cost : ℝ) ≤ D * (n : ℝ) ^ s := by
have hbpos : 0 < (b : ℝ) := by exact_mod_cast (by omega : 0 < b)
refine ⟨C * (b : ℝ) ^ s, mul_pos hC (Real.rpow_pos_of_pos hbpos s), ?_⟩
intro n hn
obtain ⟨k, hnk, hkn⟩ := exists_power_cover hb hn
obtain ⟨P, hP, hcost⟩ := hpower k
obtain ⟨Q, hQ, hQP⟩ := hpad hnk P hP
refine ⟨Q, hQ, ?_⟩
calc
(Q.cost : ℝ) ≤ (P.cost : ℝ) := by exact_mod_cast hQP
_ ≤ C * ((b : ℝ) ^ s) ^ k := hcost
_ = C * ((b ^ k : ℕ) : ℝ) ^ s := by
rw [Real.rpow_pow_comm hbpos.le, Nat.cast_pow]
_ ≤ C * ((b : ℝ) * (n : ℝ)) ^ s :=
mul_le_mul_of_nonneg_left
(Real.rpow_le_rpow (Nat.cast_nonneg _) (by exact_mod_cast hkn) hs) hC.le
_ = (C * (b : ℝ) ^ s) * (n : ℝ) ^ s := by
rw [Real.mul_rpow hbpos.le (Nat.cast_nonneg n)]
ring
theorem admissibleExponent_of_uniform_power_costs
(hpad : ∀ {n m : ℕ}, n ≤ m → ∀ P : MatrixAlgorithm m, P.Correct →
∃ Q : MatrixAlgorithm n, Q.Correct ∧ Q.cost ≤ P.cost)
{b : ℕ} (hb : 2 ≤ b) {τ C : ℝ} (hτ : 0 ≤ τ) (hC : 0 < C)
(hpower : ∀ k : ℕ, ∃ P : MatrixAlgorithm (b ^ k),
P.Correct ∧ (P.cost : ℝ) ≤ C * ((b : ℝ) ^ τ) ^ k) :
AdmissibleExponent τ := by
obtain ⟨D, hD, hall⟩ := power_cost_padding_bound hpad hb hτ hC hpower
intro ε hε
refine ⟨D, hD, ?_⟩
intro n hn
obtain ⟨P, hP, hcost⟩ := hall n hn
refine ⟨P, hP, hcost.trans ?_⟩
exact mul_le_mul_of_nonneg_left
(Real.rpow_le_rpow_of_exponent_le (by exact_mod_cast hn) (by linarith)) hD.le
theorem admissibleExponent_of_power_costs
(hpad : ∀ {n m : ℕ}, n ≤ m → ∀ P : MatrixAlgorithm m, P.Correct →
∃ Q : MatrixAlgorithm n, Q.Correct ∧ Q.cost ≤ P.cost)
{b : ℕ} (hb : 2 ≤ b) {τ : ℝ} (hτ : 0 ≤ τ)
(hpower : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ, 0 < C ∧
∀ k : ℕ, ∃ P : MatrixAlgorithm (b ^ k),
P.Correct ∧ (P.cost : ℝ) ≤ C * ((b : ℝ) ^ (τ + ε)) ^ k) :
AdmissibleExponent τ := by
intro ε hε
obtain ⟨C, hC, hcost⟩ := hpower ε hε
exact power_cost_padding_bound hpad hb (by linarith) hC hcost
theorem admissibleExponent_of_recursive_costs
(hpad : ∀ {n m : ℕ}, n ≤ m → ∀ P : MatrixAlgorithm m, P.Correct →
∃ Q : MatrixAlgorithm n, Q.Correct ∧ Q.cost ≤ P.cost)
{b R K : ℕ} (hb : 2 ≤ b) {τ : ℝ} (hτ : 2 ≤ τ)
(hR : (R : ℝ) ≤ (b : ℝ) ^ τ)
(P : ∀ k : ℕ, MatrixAlgorithm (b ^ k))
(hP : ∀ k, (P k).Correct)
(hstep : ∀ k, (P (k + 1)).cost ≤ R * (P k).cost + K * (b ^ k) ^ 2) :
AdmissibleExponent τ := by
apply admissibleExponent_of_power_costs hpad hb (by linarith)
intro ε hε
have hbpos : 0 < (b : ℝ) := by exact_mod_cast (by omega : 0 < b)
have hbone : 1 < (b : ℝ) := by exact_mod_cast (by omega : 1 < b)
have hrate : (R : ℝ) < (b : ℝ) ^ (τ + ε) :=
hR.trans_lt (Real.rpow_lt_rpow_of_exponent_lt hbone (by linarith))
have hquad : (b : ℝ) ^ (2 : ℕ) ≤ (b : ℝ) ^ (τ + ε) := by
rw [← Real.rpow_natCast]
change (b : ℝ) ^ (2 : ℝ) ≤ (b : ℝ) ^ (τ + ε)
exact Real.rpow_le_rpow_of_exponent_le hbone.le (by linarith)
obtain ⟨C, hC, hbound⟩ := geometric_cost_recurrence_bound
(fun k => ((P k).cost : ℝ)) (R : ℝ) (K : ℝ) ((b : ℝ) ^ (2 : ℕ))
((b : ℝ) ^ (τ + ε)) (Nat.cast_nonneg _) (Nat.cast_nonneg _)
(Nat.cast_nonneg _) (sq_nonneg _) hrate hquad (fun k => by
have h := hstep k
have hcast : ((P (k + 1)).cost : ℝ) ≤
(R : ℝ) * ((P k).cost : ℝ) + (K : ℝ) * ((b : ℝ) ^ k) ^ 2 := by
exact_mod_cast h
simpa only [← pow_mul, Nat.mul_comm k 2] using hcast)
exact ⟨C, hC, fun k => ⟨P k, hP k, hbound k⟩⟩
def blockRecurrenceCost (b R K : ℕ) : ℕ → ℕ
| 0 => 1
| k + 1 => R * blockRecurrenceCost b R K k + K * (b ^ k) ^ 2
@[simp] theorem blockRecurrenceCost_zero (b R K : ℕ) :
blockRecurrenceCost b R K 0 = 1 := rfl
@[simp] theorem blockRecurrenceCost_succ (b R K k : ℕ) :
blockRecurrenceCost b R K (k + 1) =
R * blockRecurrenceCost b R K k + K * (b ^ k) ^ 2 := rfl
theorem power_programs_of_block_step {b R K : ℕ}
(hstep : ∀ m : ℕ, ∀ P : MatrixAlgorithm m, P.Correct →
∃ Q : MatrixAlgorithm (b * m), Q.Correct ∧
Q.cost ≤ R * P.cost + K * m ^ 2) :
∀ k : ℕ, ∃ P : MatrixAlgorithm (b ^ k), P.Correct ∧
P.cost ≤ blockRecurrenceCost b R K k := by
intro k
induction k with
| zero =>
exact ⟨scalarAlgorithm, scalarAlgorithm_correct, by simp⟩
| succ k ih =>
obtain ⟨P, hP, hcost⟩ := ih
obtain ⟨Q, hQ, hQcost⟩ := hstep (b ^ k) P hP
have hbound : Q.cost ≤ blockRecurrenceCost b R K (k + 1) := by
exact hQcost.trans (Nat.add_le_add_right (Nat.mul_le_mul_left R hcost) _)
have hresult : ∃ Q : MatrixAlgorithm (b * b ^ k), Q.Correct ∧
Q.cost ≤ blockRecurrenceCost b R K (k + 1) := ⟨Q, hQ, hbound⟩
exact (pow_succ' b k).symm ▸ hresult
theorem admissibleExponent_of_block_step_of_padding
(hpad : ∀ {n m : ℕ}, n ≤ m → ∀ P : MatrixAlgorithm m, P.Correct →
∃ Q : MatrixAlgorithm n, Q.Correct ∧ Q.cost ≤ P.cost)
{b R K : ℕ} (hb : 2 ≤ b) {τ : ℝ} (hτ : 2 ≤ τ)
(hR : (R : ℝ) ≤ (b : ℝ) ^ τ)
(hstep : ∀ m : ℕ, ∀ P : MatrixAlgorithm m, P.Correct →
∃ Q : MatrixAlgorithm (b * m), Q.Correct ∧
Q.cost ≤ R * P.cost + K * m ^ 2) :
AdmissibleExponent τ := by
apply admissibleExponent_of_power_costs hpad hb (by linarith)
intro ε hε
have hbone : 1 < (b : ℝ) := by exact_mod_cast (by omega : 1 < b)
have hrate : (R : ℝ) < (b : ℝ) ^ (τ + ε) :=
hR.trans_lt (Real.rpow_lt_rpow_of_exponent_lt hbone (by linarith))
have hquad : (b : ℝ) ^ (2 : ℕ) ≤ (b : ℝ) ^ (τ + ε) := by
rw [← Real.rpow_natCast]
change (b : ℝ) ^ (2 : ℝ) ≤ (b : ℝ) ^ (τ + ε)
exact Real.rpow_le_rpow_of_exponent_le hbone.le (by linarith)
obtain ⟨C, hC, hbound⟩ := geometric_cost_recurrence_bound
(fun k => (blockRecurrenceCost b R K k : ℝ))
(R : ℝ) (K : ℝ) ((b : ℝ) ^ (2 : ℕ)) ((b : ℝ) ^ (τ + ε))
(Nat.cast_nonneg _) (Nat.cast_nonneg _) (Nat.cast_nonneg _)
(sq_nonneg _) hrate hquad (fun k => by
simp only [blockRecurrenceCost_succ, Nat.cast_add, Nat.cast_mul, Nat.cast_pow]
rw [← pow_mul, ← pow_mul, Nat.mul_comm k 2])
refine ⟨C, hC, ?_⟩
intro k
obtain ⟨P, hP, hcost⟩ := power_programs_of_block_step hstep k
exact ⟨P, hP, (by exact_mod_cast hcost : (P.cost : ℝ) ≤
(blockRecurrenceCost b R K k : ℝ)).trans (hbound k)⟩
theorem admissibleExponent_of_block_step
{b R K : ℕ} (hb : 2 ≤ b) {τ : ℝ} (hτ : 2 ≤ τ)
(hR : (R : ℝ) ≤ (b : ℝ) ^ τ)
(hstep : ∀ m : ℕ, ∀ P : MatrixAlgorithm m, P.Correct →
∃ Q : MatrixAlgorithm (b * m), Q.Correct ∧
Q.cost ≤ R * P.cost + K * m ^ 2) :
AdmissibleExponent τ :=
admissibleExponent_of_block_step_of_padding
(fun h P hP => MatrixAlgorithm.exists_restrict h P hP) hb hτ hR hstep
theorem admissibleExponent_of_rankAtMost {n R : ℕ} (hn : 2 ≤ n)
(hRank : Tensor.RankAtMost (Tensor.matrixMultiplication n n n) R)
{τ : ℝ} (hτ : 2 ≤ τ) (hR : (R : ℝ) ≤ (n : ℝ) ^ τ) :
AdmissibleExponent τ := by
apply admissibleExponent_of_block_step (K := 6 * R * n ^ 2) hn hτ hR
intro m P hP
obtain ⟨Q, hQ, hcost⟩ := RecursiveBlock.rank_block_step hRank P hP
exact ⟨Q, hQ, hcost.le⟩
end MatrixMultiplication.Foundation.Arithmetic
end
end OAI