import OAI.Computability.SpaceSimulation.Binary namespace OAI /-! Uniform bounds pulled along index sets. Add 1 to the reference function so that constant-size data and empty histories never require a separate positivity premise. Used also with restrictions of runs to sets of promise instances. -/ namespace Fifths /-- `Scaled S f` = f is at most a constant multiple of S+1 at every argument. -/ def Scaled {I : Type} (S f : I → ℕ) : Prop := ∃ c : ℕ, ∀ i, f i ≤ c * (S i + 1) /-- Bit length bound (all instances, same constant); not by itself a computability assertion. -/ def Fits {I : Type} (S f : I → ℕ) : Prop := Scaled S (fun i => (f i).size) namespace Scaled variable {I : Type} {S A f g : I → ℕ} theorem pull (h : Scaled S f) {L : Type} (e : L → I) : Scaled (fun i => S (e i)) (fun i => f (e i)) := by obtain ⟨c,h⟩ := h exact ⟨c,fun i => h (e i)⟩ theorem of_le (h : Scaled S f) (l : ∀ i, g i ≤ f i) : Scaled S g := by obtain ⟨c,h⟩ := h exact ⟨c, fun i => le_trans (l i) (h i)⟩ theorem congr (h : Scaled S f) (l : ∀ i, f i = g i) : Scaled S g := h.of_le (fun i => (l i).symm.le) theorem const (S : I → ℕ) (n : ℕ) : Scaled S (fun _ => n) := ⟨n,fun _ => Nat.le_mul_of_pos_right _ (by omega)⟩ theorem refl (S : I → ℕ) : Scaled S S := ⟨1,fun _ => by simp⟩ theorem add (h : Scaled S f) (l : Scaled S g) : Scaled S (fun i => f i + g i) := by obtain ⟨c,h⟩ := h obtain ⟨d,l⟩ := l exact ⟨c+d,fun i => by rw [add_mul]; exact add_le_add (h i) (l i)⟩ theorem mulConst (h : Scaled S f) (d : ℕ) : Scaled S (fun i => f i * d) := by obtain ⟨c,h⟩ := h exact ⟨c*d,fun i => by simpa [mul_comm,mul_left_comm,mul_assoc] using (Nat.mul_le_mul_right d (h i))⟩ theorem mulFamily {T : I → ℕ} (h : Scaled S f) (l : Scaled T g) : Scaled (fun i => (S i + 1)*(T i + 1)) (fun i => f i * g i) := by obtain ⟨c,h⟩ := h obtain ⟨d,l⟩ := l refine ⟨c*d,fun i => ?_⟩ calc _ ≤ (c*(S i + 1)) * (d*(T i+1)) := Nat.mul_le_mul (h i) (l i) _ = (c*d) * ((S i+1)*(T i+1)) := by ac_rfl _ ≤ _ := Nat.mul_le_mul_left (c*d) (Nat.le_succ _) theorem trans (h : Scaled S f) (l : Scaled A S) : Scaled A f := by obtain ⟨d,l⟩ := l.add (Scaled.const A 1) obtain ⟨c,h⟩ := h exact ⟨c*d, fun i => by rw [mul_assoc]; exact le_trans (h i) (Nat.mul_le_mul_left c (l i))⟩ end Scaled namespace Fits variable {I : Type} {S A f g : I → ℕ} theorem pull (h : Fits S f) {L : Type} (e : L → I) : Fits (fun i => S (e i)) (fun i => f (e i)) := Scaled.pull h e theorem mono (h : Fits S f) (l : ∀ i, g i ≤ f i) : Fits S g := Scaled.of_le h (fun i => Nat.size_le_size (l i)) theorem congr (h : Fits S f) (l : ∀ i, f i = g i) : Fits S g := h.mono (fun i => (l i).symm.le) theorem const (S : I → ℕ) (n : ℕ) : Fits S (fun _ => n) := Scaled.const S n.size theorem of_scaled (h : Scaled S f) : Fits S f := h.of_le (fun _i => Bin.size_le_self _) theorem up (h : Fits S f) (l : Scaled A S) : Fits A f := Scaled.trans h l theorem add (h : Fits S f) (l : Fits S g) : Fits S (fun i => f i + g i) := by refine Scaled.of_le ((Scaled.add h l).add (Scaled.const S 1)) ?_ intro i exact le_trans (Bin.add_size _ _) (Nat.add_le_add_right (max_le (by omega) (by omega)) 1) theorem mul (h : Fits S f) (l : Fits S g) : Fits S (fun i => f i * g i) := Scaled.of_le (Scaled.add h l) (fun _i => Bin.mul_size _ _) theorem pow (f g : I → ℕ) (h : Scaled S (fun i => g i * (f i).size)) : Fits S (fun i => f i ^ g i) := Scaled.of_le ((Scaled.const S 1).add h) (fun _i => Bin.pow_size _ _) theorem pair (h : Fits S f) (l : Fits S g) : Fits S (fun i => Bin.pair (f i) (g i)) := Scaled.of_le (((Scaled.add h h).add (Scaled.const S 1)).add l) (fun i => by show (Bin.pair _ _).size ≤ ((f i).size+(f i).size+1)+(g i).size rw [Bin.pair_size]; omega) theorem pair_left (h : Fits S (fun i => Bin.pair (f i) (g i))) : Fits S f := Scaled.of_le h (fun i => by show (f i).size ≤ (Bin.pair _ _).size rw [Bin.pair_size] omega) theorem pair_right (h : Fits S (fun i => Bin.pair (f i) (g i))) : Fits S g := Scaled.of_le h (fun i => by show (g i).size ≤ (Bin.pair _ _).size rw [Bin.pair_size]; omega) end Fits end Fifths end OAI