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| import Mathlib | |
| import OAI.Computability.MaxCut.Estimates.Density | |
| namespace OAI | |
| noncomputable section | |
| namespace OptimalMaxCut.GaussianBellman | |
| open scoped BigOperators | |
| open Set Finset | |
| abbrev BitCube (n : ℕ) := Fin n → Bool | |
| noncomputable def corrAverage (t : ℝ) : (n : ℕ) → (BitCube n → BitCube n → ℝ) → ℝ | |
| | 0, F => F default default | |
| | n + 1, F => corrAverage t n (fun x y => | |
| ∑ a : Bool, ∑ b : Bool, bitPairWeight t a b * F (Fin.cons a x) (Fin.cons b y)) | |
| noncomputable def midpointSection {n : ℕ} (f : BitCube (n + 1) → ℝ) (x : BitCube n) : ℝ := | |
| (f (Fin.cons false x) + f (Fin.cons true x)) / 2 | |
| noncomputable def slopeSection {n : ℕ} (f : BitCube (n + 1) → ℝ) (x : BitCube n) : ℝ := | |
| (f (Fin.cons false x) - f (Fin.cons true x)) / 2 | |
| theorem section_decomposition {n : ℕ} (f : BitCube (n + 1) → ℝ) (x : BitCube n) (a : Bool) : | |
| f (Fin.cons a x) = midpointSection f x + sign a * slopeSection f x := by | |
| cases a <;> simp only [midpointSection, slopeSection, sign, Bool.false_eq_true, ↓reduceIte] <;> ring | |
| theorem midpointSection_mem {n : ℕ} {f : BitCube (n + 1) → ℝ} {l u : ℝ} | |
| (hf : ∀ x, f x ∈ Icc l u) (x : BitCube n) : midpointSection f x ∈ Icc l u := by | |
| have h0 := hf (Fin.cons false x) | |
| have h1 := hf (Fin.cons true x) | |
| dsimp [midpointSection] | |
| constructor <;> linarith [h0.1, h0.2, h1.1, h1.2] | |
| theorem expect_section {n : ℕ} (f : BitCube (n + 1) → ℝ) : | |
| (𝔼 x, f x) = 𝔼 x, midpointSection f x := by | |
| have he := (Fintype.expect_equiv (Fin.consEquiv (fun _ : Fin (n + 1) => Bool)) | |
| (fun p => f (Fin.cons p.1 p.2)) f (fun _ => rfl)).symm | |
| rw [← Finset.univ_product_univ, Finset.expect_product, Finset.expect_comm] at he | |
| rw [he] | |
| apply Finset.expect_congr rfl | |
| intro x _ | |
| rw [Fintype.expect_eq_sum_div_card] | |
| simp [midpointSection, add_comm] | |
| theorem corrAverage_mono {t : ℝ} (ht : t ∈ Icc (-1 : ℝ) 1) (n : ℕ) | |
| {F G : BitCube n → BitCube n → ℝ} (h : ∀ x y, F x y ≤ G x y) : | |
| corrAverage t n F ≤ corrAverage t n G := by | |
| induction n with | |
| | zero => exact h _ _ | |
| | succ n ih => | |
| apply ih | |
| intro x y | |
| apply Finset.sum_le_sum | |
| intro a _ | |
| apply Finset.sum_le_sum | |
| intro b _ | |
| exact mul_le_mul_of_nonneg_left (h _ _) (bitPairWeight_nonneg ht a b) | |
| theorem corrAverage_add (t : ℝ) (n : ℕ) (F G : BitCube n → BitCube n → ℝ) : | |
| corrAverage t n (fun x y => F x y + G x y) = corrAverage t n F + corrAverage t n G := by | |
| induction n with | |
| | zero => rfl | |
| | succ n ih => | |
| simp only [corrAverage, mul_add, Finset.sum_add_distrib, ih] | |
| theorem corrAverage_mul_const (t c : ℝ) (n : ℕ) (F : BitCube n → BitCube n → ℝ) : | |
| corrAverage t n (fun x y => F x y * c) = corrAverage t n F * c := by | |
| induction n with | |
| | zero => rfl | |
| | succ n ih => | |
| simp only [corrAverage, ← mul_assoc, ← Finset.sum_mul, ih] | |
| theorem corrAverage_const_mul (t c : ℝ) (n : ℕ) (F : BitCube n → BitCube n → ℝ) : | |
| corrAverage t n (fun x y => c * F x y) = c * corrAverage t n F := by | |
| simpa only [mul_comm] using corrAverage_mul_const t c n F | |
| theorem expect_zero_cube (f : BitCube 0 → ℝ) : (𝔼 x, f x) = f default := by | |
| have hf : f = fun _ => f default := funext (fun x => congrArg f (Subsingleton.elim x default)) | |
| rw [hf, Fintype.expect_const] | |
| theorem corrAverage_fst (t : ℝ) (n : ℕ) (f : BitCube n → ℝ) : | |
| corrAverage t n (fun x _ => f x) = 𝔼 x, f x := by | |
| induction n with | |
| | zero => exact (expect_zero_cube f).symm | |
| | succ n ih => | |
| have hp (x : BitCube n) : | |
| (∑ a : Bool, ∑ b : Bool, bitPairWeight t a b * f (Fin.cons a x)) = midpointSection f x := by | |
| simp only [Fintype.sum_bool, bitPairWeight, sign, Bool.false_eq_true, ↓reduceIte, midpointSection] | |
| ring | |
| simp only [corrAverage, hp] | |
| rw [ih, expect_section] | |
| theorem corrAverage_snd (t : ℝ) (n : ℕ) (f : BitCube n → ℝ) : | |
| corrAverage t n (fun _ y => f y) = 𝔼 y, f y := by | |
| induction n with | |
| | zero => exact (expect_zero_cube f).symm | |
| | succ n ih => | |
| have hp (y : BitCube n) : | |
| (∑ a : Bool, ∑ b : Bool, bitPairWeight t a b * f (Fin.cons b y)) = midpointSection f y := by | |
| simp only [Fintype.sum_bool, bitPairWeight, sign, Bool.false_eq_true, ↓reduceIte, midpointSection] | |
| ring | |
| simp only [corrAverage, hp] | |
| rw [ih, expect_section] | |
| noncomputable def cubicCost : (n : ℕ) → (BitCube n → ℝ) → ℝ | |
| | 0, _ => 0 | |
| | n + 1, f => (𝔼 x, |slopeSection f x| ^ 3) + cubicCost n (midpointSection f) | |
| theorem finite_bellman_tensorization {t C l u : ℝ} (ht : t ∈ Icc (-1 : ℝ) 1) | |
| (J : ℝ → ℝ → ℝ) | |
| (hJ : ∀ x y a b : ℝ, | |
| (∀ e : Bool, x + sign e * a ∈ Icc l u) → | |
| (∀ e : Bool, y + sign e * b ∈ Icc l u) → | |
| (∑ e : Bool, ∑ f : Bool, bitPairWeight t e f * J (x + sign e * a) (y + sign f * b)) ≤ | |
| J x y + C * (|a| ^ 3 + |b| ^ 3)) | |
| (n : ℕ) (f g : BitCube n → ℝ) (hf : ∀ x, f x ∈ Icc l u) (hg : ∀ x, g x ∈ Icc l u) : | |
| corrAverage t n (fun x y => J (f x) (g y)) ≤ | |
| J (𝔼 x, f x) (𝔼 y, g y) + C * (cubicCost n f + cubicCost n g) := by | |
| induction n with | |
| | zero => simp only [corrAverage, cubicCost, expect_zero_cube, add_zero, mul_zero, le_refl] | |
| | succ n ih => | |
| have hlocal (x y : BitCube n) : | |
| (∑ a : Bool, ∑ b : Bool, bitPairWeight t a b * J (f (Fin.cons a x)) (g (Fin.cons b y))) ≤ | |
| J (midpointSection f x) (midpointSection g y) + | |
| C * (|slopeSection f x| ^ 3 + |slopeSection g y| ^ 3) := by | |
| simpa only [← section_decomposition] using hJ (midpointSection f x) (midpointSection g y) | |
| (slopeSection f x) (slopeSection g y) | |
| (fun e => by rw [← section_decomposition]; exact hf _) | |
| (fun e => by rw [← section_decomposition]; exact hg _) | |
| have hb := corrAverage_mono ht n hlocal | |
| rw [corrAverage_add, corrAverage_const_mul, corrAverage_add, corrAverage_fst, corrAverage_snd] at hb | |
| have hi := ih (midpointSection f) (midpointSection g) (midpointSection_mem hf) (midpointSection_mem hg) | |
| rw [expect_section f, expect_section g] | |
| simp only [corrAverage, cubicCost] | |
| linarith | |
| noncomputable def gradient {n : ℕ} (f : BitCube n → ℝ) (i : Fin n) (x : BitCube n) : ℝ := | |
| (f x - f (Function.update x i (!x i))) / 2 | |
| theorem gradient_cons_zero {n : ℕ} (f : BitCube (n + 1) → ℝ) (a : Bool) (x : BitCube n) : | |
| gradient f 0 (Fin.cons a x) = sign a * slopeSection f x := by | |
| cases a <;> simp [gradient, sign, slopeSection] ; ring | |
| theorem gradient_midpoint {n : ℕ} (f : BitCube (n + 1) → ℝ) (i : Fin n) (x : BitCube n) : | |
| gradient (midpointSection f) i x = midpointSection (gradient f i.succ) x := by | |
| simp only [gradient, midpointSection, Fin.cons_succ, ← Fin.cons_update] | |
| ring | |
| theorem abs_midpoint_cube_le (a b : ℝ) : | |
| |(a + b) / 2| ^ 3 ≤ (|a| ^ 3 + |b| ^ 3) / 2 := by | |
| have h := abs_add_le a b | |
| have hpow : |a + b| ^ 3 ≤ (|a| + |b|) ^ 3 := pow_le_pow_left₀ (abs_nonneg _) h 3 | |
| rw [abs_div, abs_of_pos (by norm_num : (0 : ℝ) < 2), div_pow] | |
| have hm := mul_nonneg (add_nonneg (abs_nonneg a) (abs_nonneg b)) (sq_nonneg (|a| - |b|)) | |
| nlinarith | |
| theorem midpoint_cubic_contract {n : ℕ} (f : BitCube (n + 1) → ℝ) : | |
| (𝔼 x, |midpointSection f x| ^ 3) ≤ 𝔼 x, |f x| ^ 3 := by | |
| rw [expect_section (fun x => |f x| ^ 3)] | |
| apply Finset.expect_le_expect | |
| intro x _ | |
| exact abs_midpoint_cube_le _ _ | |
| theorem gradient_zero_cubic {n : ℕ} (f : BitCube (n + 1) → ℝ) : | |
| (𝔼 x, |gradient f 0 x| ^ 3) = 𝔼 x, |slopeSection f x| ^ 3 := by | |
| rw [expect_section] | |
| apply Finset.expect_congr rfl | |
| intro x _ | |
| simp [midpointSection, gradient_cons_zero, sign] | |
| theorem cubicCost_le_gradients (n : ℕ) (f : BitCube n → ℝ) : | |
| cubicCost n f ≤ ∑ i, 𝔼 x, |gradient f i x| ^ 3 := by | |
| induction n with | |
| | zero => simp [cubicCost] | |
| | succ n ih => | |
| rw [cubicCost, Fin.sum_univ_succ, gradient_zero_cubic] | |
| apply add_le_add le_rfl | |
| calc | |
| _ ≤ ∑ i, 𝔼 x, |gradient (midpointSection f) i x| ^ 3 := ih _ | |
| _ ≤ _ := by | |
| apply Finset.sum_le_sum | |
| intro i _ | |
| simp only [gradient_midpoint] | |
| exact midpoint_cubic_contract _ | |
| theorem gradient_lipschitz {n : ℕ} (F : ℝ → ℝ) | |
| (hF : ∀ a b, |F a - F b| ≤ |a - b|) (f : BitCube n → ℝ) (i : Fin n) (x : BitCube n) : | |
| |gradient (fun x => F (f x)) i x| ≤ |gradient f i x| := by | |
| simp only [gradient, abs_div] | |
| exact div_le_div_of_nonneg_right (hF _ _) (abs_nonneg _) | |
| end OptimalMaxCut.GaussianBellman | |
| end | |
| end OAI | |