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Add lean source and binary files (part 84)
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import Mathlib
namespace OAI
open scoped BigOperators Topology Polynomial
namespace MatrixAllFields
noncomputable section
open scoped BigOperators
namespace MatrixMultiplication.Arithmetic
inductive Gate (F Input Register : Type*) where
| constant : F → Gate F Input Register
| input : Input → Gate F Input Register
| add : Register → Register → Gate F Input Register
| sub : Register → Register → Gate F Input Register
| mul : Register → Register → Gate F Input Register
namespace Gate
variable {F Input Register : Type*}
def eval [Field F] (inputs : Input → F) (registers : Register → F) :
Gate F Input Register → F
| .constant z => z
| .input i => inputs i
| .add i j => registers i + registers j
| .sub i j => registers i - registers j
| .mul i j => registers i * registers j
def cost : Gate F Input Register → ℕ
| .constant _ => 0
| .input _ => 0
| .add _ _ => 1
| .sub _ _ => 1
| .mul _ _ => 1
end Gate
inductive Program (F Input : Type*) : ℕ → Type _ where
| nil : Program F Input 0
| step {r : ℕ} : Program F Input r → Gate F Input (Fin r) → Program F Input (r + 1)
namespace Program
variable {F Input : Type*}
def eval [Field F] : {r : ℕ} → Program F Input r → (Input → F) → Fin r → F
| 0, .nil, _ => Fin.elim0
| _ + 1, .step p g, inputs =>
Fin.cases (g.eval inputs (p.eval inputs)) (p.eval inputs)
def cost : {r : ℕ} → Program F Input r → ℕ
| 0, .nil => 0
| _ + 1, .step p g => p.cost + g.cost
end Program
abbrev MatrixInput (a b c : ℕ) := (Fin a × Fin b) ⊕ (Fin b × Fin c)
def matrixInputs {F : Type*} {a b c : ℕ}
(A : Matrix (Fin a) (Fin b) F) (B : Matrix (Fin b) (Fin c) F) :
MatrixInput a b c → F
| .inl (i, j) => A i j
| .inr (j, k) => B j k
structure MatrixAlgorithm (F : Type*) (a b c : ℕ) where
registers : ℕ
program : Program F (MatrixInput a b c) registers
output : Fin a → Fin c → Fin registers
namespace MatrixAlgorithm
variable {F : Type*} [Field F] {a b c : ℕ}
def eval (P : MatrixAlgorithm F a b c)
(A : Matrix (Fin a) (Fin b) F) (B : Matrix (Fin b) (Fin c) F) :
Matrix (Fin a) (Fin c) F :=
fun i k => P.program.eval (matrixInputs A B) (P.output i k)
def Correct (P : MatrixAlgorithm F a b c) : Prop :=
∀ (A : Matrix (Fin a) (Fin b) F) (B : Matrix (Fin b) (Fin c) F), P.eval A B = A * B
def cost (P : MatrixAlgorithm F a b c) : ℕ := P.program.cost
end MatrixAlgorithm
/-- Positive slack, one uniform constant, and a correct program at every size. -/
def AdmissibleExponent (F : Type*) [Field F] (τ : ℝ) : Prop :=
∀ ε : ℝ, 0 < ε → ∃ C : ℝ, 0 < C ∧
∀ n : ℕ, 1 ≤ n → ∃ P : MatrixAlgorithm F n n n,
P.Correct ∧ (P.cost : ℝ) ≤ C * (n : ℝ) ^ (τ + ε)
def omega (F : Type*) [Field F] : ℝ := sInf {τ : ℝ | AdmissibleExponent F τ}
end MatrixMultiplication.Arithmetic
end
end MatrixAllFields
end OAI