import OAI.Algebra.FormulaHitting.Model import Mathlib.Data.Matrix.Basic import Mathlib.Data.Rat.Defs import Mathlib.Data.Nat.Size import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity namespace OAI namespace NCHitting theorem dimension_pos {n s : ℕ} (hn : 0 < n) (hs : 0 < s) : 0 < dimension n s := by unfold dimension split_ifs <;> positivity theorem dimension_le {n s : ℕ} (hn : 0 < n) (hs : 0 < s) : dimension n s ≤ 2 * n * s ^ 2 := by unfold dimension split_ifs with h · rcases h with ⟨rfl, rfl⟩ norm_num · exact le_rfl theorem dimension_eq {n s : ℕ} (hns : 2 ≤ n * s) : dimension n s = 2 * n * s ^ 2 := by unfold dimension split_ifs with h · rcases h with ⟨rfl, rfl⟩ norm_num at hns · rfl @[simp] theorem dimension_one : dimension 1 1 = 1 := by decide theorem generator_one (i : Fin 1) (r q : Fin (dimension 1 1)) : generator 1 1 i r q = 1 := by simp [generator] theorem generator_entry {n s : ℕ} (hns : 2 ≤ n * s) (i : Fin n) (r q : Fin (dimension n s)) : generator n s i r q = matrixEntry (i.val + 1) r.val q.val := by have h : ¬(n = 1 ∧ s = 1) := by rintro ⟨rfl, rfl⟩; norm_num at hns simp [generator, h] theorem matrixEntry_of_lt {i r q : ℕ} (h : q < r) : matrixEntry i r q = (-1 : ℚ) ^ (r - q - 1) / ((r : ℚ) * i ^ (r - q)) := by simp [matrixEntry, h] theorem matrixEntry_of_le {i r q : ℕ} (h : r ≤ q) : matrixEntry i r q = 0 := by simp [matrixEntry, Nat.not_lt.mpr h] def entryBitBound (n d : ℕ) : ℕ := 3 + d.size + d * n.size theorem size_mul_le (a b : ℕ) : (a * b).size ≤ a.size + b.size := by apply Nat.size_le.mpr rw [pow_add] exact Nat.mul_lt_mul_of_lt_of_lt (Nat.lt_size_self a) (Nat.lt_size_self b) theorem size_pow_le (a k : ℕ) : (a ^ k).size ≤ 1 + k * a.size := by induction k with | zero => simp | succ k ih => calc (a ^ (k + 1)).size = (a ^ k * a).size := by rw [pow_succ] _ ≤ (a ^ k).size + a.size := size_mul_le _ _ _ ≤ 1 + (k + 1) * a.size := by rw [Nat.add_mul]; omega theorem denominator_pos {i r q : ℕ} (hi : 0 < i) (hq : q < r) : 0 < r * i ^ (r - q) := Nat.mul_pos (by omega) (pow_pos hi _) theorem denominator_size_le {n d i r q : ℕ} (hi : i ≤ n) (hr : r < d) : (r * i ^ (r - q)).size ≤ entryBitBound n d := by have hs := Nat.size_le_size hi have ht := Nat.size_le_size (Nat.le_of_lt hr) have hk : r - q ≤ d := by omega calc (r * i ^ (r - q)).size ≤ r.size + (i ^ (r - q)).size := size_mul_le _ _ _ ≤ r.size + (1 + (r - q) * i.size) := Nat.add_le_add_left (size_pow_le _ _) _ _ ≤ entryBitBound n d := by have hm := Nat.mul_le_mul hk hs unfold entryBitBound omega theorem size_le_self (a : ℕ) : a.size ≤ a := by apply Nat.size_le.mpr exact Nat.lt_two_pow_self theorem entryBitBound_le (n d : ℕ) : entryBitBound n d ≤ 3 + d + d * n := by unfold entryBitBound exact Nat.add_le_add (Nat.add_le_add_left (size_le_self _) _) (Nat.mul_le_mul_left _ (size_le_self _)) end NCHitting end OAI