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Add lean source and binary files (part 44)
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import Mathlib
namespace OAI
namespace LargeIndependentSets.BooleanJunta
open scoped BigOperators
@[reducible] def Cube : ℕ → Type
| 0 => Unit
| n+1 => Bool × Cube n
instance cubeFintype : (n : ℕ) → Fintype (Cube n)
| 0 => inferInstanceAs (Fintype Unit)
| n+1 => by
letI := cubeFintype n
exact inferInstanceAs (Fintype (Bool × Cube n))
instance cubeNonempty : (n : ℕ) → Nonempty (Cube n)
| 0 => inferInstanceAs (Nonempty Unit)
| n+1 => @instNonemptyProd Bool (Cube n) _ (cubeNonempty n)
noncomputable def mean {n : ℕ} (f : Cube n → ℝ) : ℝ := 𝔼 x, f x
lemma mean_zero (f : Cube 0 → ℝ) : mean f = f () := by
change (𝔼 x : Unit, f x) = f ()
simp [Finset.expect_eq_sum_div_card]
lemma mean_succ {n : ℕ} (f : Cube (n+1) → ℝ) :
mean f = (mean (fun x => f (false,x)) + mean (fun x => f (true,x))) / 2 := by
change (𝔼 x : Bool × Cube n, f x) = _
rw [show (Finset.univ : Finset (Bool × Cube n)) = Finset.univ ×ˢ Finset.univ from rfl,
Finset.expect_product]
simp [Finset.expect_eq_sum_div_card, mean, add_comm]
lemma mean_add {n : ℕ} (f g : Cube n → ℝ) :
mean (fun x => f x + g x) = mean f + mean g := Finset.expect_add_distrib _ _ _
lemma mean_sub {n : ℕ} (f g : Cube n → ℝ) :
mean (fun x => f x - g x) = mean f - mean g := Finset.expect_sub_distrib _ _ _
lemma mean_mul {n : ℕ} (a : ℝ) (f : Cube n → ℝ) :
mean (fun x => a * f x) = a * mean f := (Finset.mul_expect _ _ _).symm
lemma mean_nonneg {n : ℕ} {f : Cube n → ℝ} (hf : ∀ x, 0 ≤ f x) : 0 ≤ mean f :=
Finset.expect_nonneg (fun x _ => hf x)
lemma mean_mono {n : ℕ} {f g : Cube n → ℝ} (h : ∀ x, f x ≤ g x) : mean f ≤ mean g :=
Finset.expect_le_expect (fun x _ => h x)
lemma mean_cauchy {n : ℕ} (f g : Cube n → ℝ) :
(mean (fun x => f x * g x))^2 ≤ mean (fun x => f x^2) * mean (fun x => g x^2) :=
Finset.expect_mul_sq_le_sq_mul_sq _ _ _
noncomputable def evenPart {n : ℕ} (f : Cube (n+1) → ℝ) (x : Cube n) :=
(f (false,x) + f (true,x)) / 2
noncomputable def oddPart {n : ℕ} (f : Cube (n+1) → ℝ) (x : Cube n) :=
(f (false,x) - f (true,x)) / 2
noncomputable def noise (ρ : ℝ) : {n : ℕ} → (Cube n → ℝ) → Cube n → ℝ
| 0, f, x => f x
| _+1, f, (b,x) => noise ρ (evenPart f) x + (if b then -ρ else ρ) * noise ρ (oddPart f) x
lemma mean_square_split {n : ℕ} (f : Cube (n+1) → ℝ) :
mean (fun x => f x^2) = mean (fun x => evenPart f x^2) + mean (fun x => oddPart f x^2) := by
rw [mean_succ, ← mean_add]
rw [← mean_add, div_eq_mul_inv, mul_comm _ (2⁻¹), ← mean_mul]
congr 1
funext x
dsimp [evenPart, oddPart]
ring
lemma mean_noise_fourth {n : ℕ} (ρ : ℝ) (f : Cube (n+1) → ℝ) :
mean (fun x => noise ρ f x ^ 4) =
mean (fun x => noise ρ (evenPart f) x ^ 4) +
6 * ρ^2 * mean (fun x => (noise ρ (evenPart f) x)^2 * (noise ρ (oddPart f) x)^2) +
ρ^4 * mean (fun x => noise ρ (oddPart f) x ^ 4) := by
rw [mean_succ, ← mean_add, div_eq_mul_inv, mul_comm _ (2⁻¹), ← mean_mul, ← mean_mul, ← mean_add,
← mean_mul, ← mean_add]
congr 1
funext x
dsimp [noise]
ring
theorem hypercontractive_two_four {n : ℕ} (f : Cube n → ℝ) :
mean (fun x => noise (1/2) f x ^ 4) ≤ (mean (fun x => f x^2))^2 := by
induction n with
| zero =>
simp only [mean_zero, noise]
nlinarith
| succ n ih =>
let a := evenPart f
let b := oddPart f
let A := mean (fun x => a x^2)
let B := mean (fun x => b x^2)
let C := mean (fun x => noise (1/2) a x^4)
let D := mean (fun x => noise (1/2) b x^4)
let E := mean (fun x => (noise (1/2) a x)^2 * (noise (1/2) b x)^2)
have hA : 0 ≤ A := mean_nonneg (fun x => sq_nonneg _)
have hB : 0 ≤ B := mean_nonneg (fun x => sq_nonneg _)
have hC : 0 ≤ C := mean_nonneg (fun x => by positivity)
have hD : 0 ≤ D := mean_nonneg (fun x => by positivity)
have hE : 0 ≤ E := mean_nonneg (fun x => mul_nonneg (sq_nonneg _) (sq_nonneg _))
have hCA : C ≤ A^2 := ih a
have hDB : D ≤ B^2 := ih b
have hEC : E^2 ≤ C*D := by
have hc := mean_cauchy (fun x => (noise (1/2) a x)^2) (fun x => (noise (1/2) b x)^2)
have hpow (x : ℝ) : (x^2)^2 = x^4 := by ring
simp only [hpow] at hc
exact hc
have hmul : C*D ≤ A^2*B^2 := mul_le_mul hCA hDB hD (sq_nonneg A)
have hEAB : E ≤ A*B := by
nlinarith [hEC.trans hmul, mul_nonneg hA hB]
rw [mean_noise_fourth, mean_square_split]
change C + 6*(1/2:ℝ)^2*E + (1/2:ℝ)^4*D ≤ (A+B)^2
nlinarith [mul_nonneg hA hB]
lemma evenPart_noise {n : ℕ} (ρ : ℝ) (f : Cube (n+1) → ℝ) :
evenPart (noise ρ f) = noise ρ (evenPart f) := by
funext x
dsimp [evenPart, noise]
ring
lemma oddPart_noise {n : ℕ} (ρ : ℝ) (f : Cube (n+1) → ℝ) :
oddPart (noise ρ f) = fun x => ρ * noise ρ (oddPart f) x := by
funext x
dsimp [oddPart, noise]
ring
lemma mean_product_split {n : ℕ} (f g : Cube (n+1) → ℝ) :
mean (fun x => f x * g x) =
mean (fun x => evenPart f x * evenPart g x) +
mean (fun x => oddPart f x * oddPart g x) := by
rw [mean_succ, ← mean_add, div_eq_mul_inv, mul_comm _ (2⁻¹), ← mean_mul,
← mean_add]
congr 1
funext x
dsimp [evenPart, oddPart]
ring
lemma noise_selfadjoint {n : ℕ} (ρ : ℝ) (f g : Cube n → ℝ) :
mean (fun x => f x * noise ρ g x) = mean (fun x => noise ρ f x * g x) := by
induction n with
| zero => simp only [mean_zero, noise]
| succ n ih =>
rw [mean_product_split, mean_product_split, evenPart_noise, oddPart_noise,
evenPart_noise, oddPart_noise, ih]
have h₁ : mean (fun x => oddPart f x * (ρ * noise ρ (oddPart g) x)) =
ρ * mean (fun x => oddPart f x * noise ρ (oddPart g) x) := by
rw [← mean_mul]
congr 1; funext x; ring
have h₂ : mean (fun x => ρ * noise ρ (oddPart f) x * oddPart g x) =
ρ * mean (fun x => noise ρ (oddPart f) x * oddPart g x) := by
rw [← mean_mul]
congr 1; funext x; ring
rw [h₁, h₂, ih]
lemma mean_holder_four {n : ℕ} (g h : Cube n → ℝ) :
(mean (fun x => g x * h x))^4 ≤
(mean (fun x => |g x|))^2 * mean (fun x => g x^2) * mean (fun x => h x^4) := by
let G := mean (fun x => |g x|)
let U := mean (fun x => |g x| * |h x|)
let V := mean (fun x => |g x| * h x^2)
have hG : 0 ≤ G := mean_nonneg (fun x => abs_nonneg _)
have hU : 0 ≤ U := mean_nonneg (fun x => mul_nonneg (abs_nonneg _) (abs_nonneg _))
have hV : 0 ≤ V := mean_nonneg (fun x => mul_nonneg (abs_nonneg _) (sq_nonneg _))
have huv : U^2 ≤ G*V := by
have hc := mean_cauchy (fun x => Real.sqrt |g x|) (fun x => Real.sqrt |g x| * |h x|)
have he₁ : (fun x => Real.sqrt |g x| * (Real.sqrt |g x| * |h x|)) =
(fun x => |g x| * |h x|) := by
funext x
rw [← mul_assoc, Real.mul_self_sqrt (abs_nonneg _)]
have he₂ : (fun x => (Real.sqrt |g x|)^2) = (fun x => |g x|) := by
funext x; exact Real.sq_sqrt (abs_nonneg _)
have he₃ : (fun x => (Real.sqrt |g x| * |h x|)^2) = (fun x => |g x| * h x^2) := by
funext x
rw [mul_pow, Real.sq_sqrt (abs_nonneg _), sq_abs]
simpa only [he₁, he₂, he₃] using hc
have hv : V^2 ≤ mean (fun x => g x^2) * mean (fun x => h x^4) := by
have hc := mean_cauchy (fun x => |g x|) (fun x => h x^2)
have hpow (x : ℝ) : (x^2)^2 = x^4 := by ring
simp only [sq_abs, hpow] at hc
exact hc
have habs : |mean (fun x => g x * h x)| ≤ U := by
have hh := Finset.abs_expect_le Finset.univ (fun x => g x*h x)
simp only [abs_mul] at hh
exact hh
have hs : (mean (fun x => g x * h x))^2 ≤ U^2 := by
have ha := abs_nonneg (mean (fun x => g x*h x))
nlinarith [sq_abs (mean (fun x => g x*h x))]
have hsq : (mean (fun x => g x * h x))^4 ≤ (G*V)^2 := by
nlinarith [hs.trans huv, sq_nonneg (mean (fun x => g x*h x))]
have hm := mul_le_mul_of_nonneg_left hv (sq_nonneg G)
nlinarith
theorem noise_small_l1 {n : ℕ} (g : Cube n → ℝ) (hg : ∀ x, |g x| ≤ 1) :
(mean (fun x => noise (1/2) g x^2))^2 ≤ (mean (fun x => |g x|))^3 := by
let u := noise (1/2) g
let A := mean (fun x => u x^2)
let I := mean (fun x => |g x|)
have hA : 0 ≤ A := mean_nonneg (fun x => sq_nonneg _)
have hI : 0 ≤ I := mean_nonneg (fun x => abs_nonneg _)
have hgs : mean (fun x => g x^2) ≤ I := by
apply mean_mono
intro x
nlinarith [hg x, abs_nonneg (g x), sq_abs (g x)]
have he : mean (fun x => g x * noise (1/2) u x) = A := by
rw [noise_selfadjoint]
congr 1; funext x; simp only [u, pow_two]
have h := mean_holder_four g (noise (1/2) u)
rw [he] at h
have hh := hypercontractive_two_four u
have hp : 0 ≤ I^2 * mean (fun x => g x^2) :=
mul_nonneg (sq_nonneg _) (mean_nonneg (fun x => sq_nonneg _))
have h₂ := mul_le_mul_of_nonneg_left hh hp
have h₃ := mul_le_mul_of_nonneg_left hgs (sq_nonneg I)
have h₄ := mul_le_mul_of_nonneg_right h₃ (sq_nonneg A)
change A^2 ≤ I^3
change _ ≤ _ * A^2 at h₂
nlinarith [h.trans h₂]
end LargeIndependentSets.BooleanJunta
end OAI