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Add lean source and binary files (part 128)
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import Mathlib
import OAI.Probability.SKGap.Terminal.GibbsExpectation
namespace OAI
section
open scoped BigOperators
open scoped BigOperators
namespace SKGapCutoff
noncomputable def cubeWeight {n : ℕ} (z : Fin n → ℝ) (x : Spin n) : ℝ :=
∏ i, (1 + spin x i * z i) / 2
noncomputable def deletedWeight {n : ℕ} (z : Fin n → ℝ) (x : Spin n)
(i : Fin n) : ℝ := ∏ j ∈ Finset.univ.erase i, (1 + spin x j * z j) / 2
noncomputable def cubeExtension {n : ℕ} (f : Observables n) (z : Fin n → ℝ) : ℝ :=
∑ x, cubeWeight z x * f x
lemma cubeWeight_sum {n : ℕ} (z : Fin n → ℝ) : ∑ x, cubeWeight z x = 1 := by
change (∑ x : Fin n → Bool, ∏ i, (1 + (if x i then 1 else -1 : ℝ) * z i) / 2) = 1
rw [← Fintype.prod_sum (fun (i : Fin n) (b : Bool) =>
(1 + (if b then 1 else -1 : ℝ) * z i) / 2)]
have h (i : Fin n) : (∑ b : Bool, (1 + (if b then 1 else -1 : ℝ) * z i) / 2) = 1 := by
rw [Fintype.sum_bool]
simp only [Bool.false_eq_true, ↓reduceIte]
ring
simp_rw [h]
simp
lemma cubeWeight_nonneg {n : ℕ} (z : Fin n → ℝ)
(hz : ∀ i, -1 ≤ z i ∧ z i ≤ 1) (x : Spin n) : 0 ≤ cubeWeight z x := by
apply Finset.prod_nonneg
intro i _
apply div_nonneg _ (by norm_num)
rcases hz i with ⟨hl, hu⟩
cases h : x i <;> simp only [spin, h, ↓reduceIte, Bool.false_eq_true]
· linarith
· linarith
lemma cubeWeight_vertex {n : ℕ} (x y : Spin n) :
cubeWeight (spin x) y = if y = x then 1 else 0 := by
classical
by_cases h : y = x
· subst y
simp [cubeWeight, ← sq, spin_sq]
· rw [ite_eq_right h]
obtain ⟨i, hi⟩ := Function.ne_iff.mp h
apply Finset.prod_eq_zero (Finset.mem_univ i)
have hs : spin y i * spin x i = -1 := by
cases hx : x i <;> cases hy : y i <;> simp_all [spin]
simp [hs]
lemma cubeExtension_vertex {n : ℕ} (f : Observables n) (x : Spin n) :
cubeExtension f (spin x) = f x := by
classical
simp [cubeExtension, cubeWeight_vertex]
lemma deletedWeight_flip {n : ℕ} (z : Fin n → ℝ) (x : Spin n) (i : Fin n) :
deletedWeight z (flip x i) i = deletedWeight z x i := by
apply Finset.prod_congr rfl
intro j hj
simp only [Finset.mem_erase] at hj
rw [spin_flip]
simp [hj.1]
lemma cubeWeight_factor {n : ℕ} (z : Fin n → ℝ) (x : Spin n) (i : Fin n) :
cubeWeight z x = (1 + spin x i * z i) / 2 * deletedWeight z x i := by
exact (Finset.mul_prod_erase _ _ (Finset.mem_univ i)).symm
lemma cubeWeight_flip_add {n : ℕ} (z : Fin n → ℝ) (x : Spin n) (i : Fin n) :
cubeWeight z x + cubeWeight z (flip x i) = deletedWeight z x i := by
rw [cubeWeight_factor z x i, cubeWeight_factor z (flip x i) i,
deletedWeight_flip, spin_flip_self]
ring
lemma cubeWeight_halfDiff {n : ℕ} (z : Fin n → ℝ) (f : Observables n) (i : Fin n) :
(∑ x, cubeWeight z x * halfDiff i f x) =
∑ x, f x * (spin x i / 2) * deletedWeight z x i := by
have hA (x : Spin n) :
f x * (spin x i / 2) * deletedWeight z x i +
f (flip x i) * (spin (flip x i) i / 2) * deletedWeight z (flip x i) i =
deletedWeight z x i * halfDiff i f x := by
rw [spin_flip_self, deletedWeight_flip]
have he : f (flip x i) = f x - 2 * spin x i * halfDiff i f x := by
linarith only [flip_sub i f x]
rw [he]
calc
_ = (spin x i * spin x i) * (deletedWeight z x i * halfDiff i f x) := by ring
_ = _ := by rw [spin_mul_self, one_mul]
have hB (x : Spin n) :
cubeWeight z x * halfDiff i f x +
cubeWeight z (flip x i) * halfDiff i f (flip x i) =
deletedWeight z x i * halfDiff i f x := by
rw [halfDiff_flip, ← add_mul, cubeWeight_flip_add]
have ha := sum_flip i (fun x => f x * (spin x i / 2) * deletedWeight z x i)
have hb := sum_flip i (fun x => cubeWeight z x * halfDiff i f x)
have h : (∑ x, cubeWeight z x * halfDiff i f x) +
(∑ x, cubeWeight z (flip x i) * halfDiff i f (flip x i)) =
(∑ x, f x * (spin x i / 2) * deletedWeight z x i) +
(∑ x, f (flip x i) * (spin (flip x i) i / 2) * deletedWeight z (flip x i) i) := by
rw [← Finset.sum_add_distrib, ← Finset.sum_add_distrib]
exact Finset.sum_congr rfl (fun x _ => (hB x).trans (hA x).symm)
rw [ha, hb] at h
linarith only [h]
lemma cubeExtension_line_deriv {n : ℕ} (f : Observables n) (a b : Fin n → ℝ) (t : ℝ) :
HasDerivAt (fun s : ℝ => cubeExtension f (fun i => a i + s * b i))
(∑ i, b i * ∑ x, cubeWeight (fun j => a j + t * b j) x * halfDiff i f x) t := by
have hf (x : Spin n) (i : Fin n) :
HasDerivAt (fun s : ℝ => (1 + spin x i * (a i + s * b i)) / 2)
(spin x i * b i / 2) t := by
simpa only [one_mul, id_eq] using (((((hasDerivAt_id t).mul_const (b i)).const_add (a i)).const_mul
(spin x i)).const_add 1).div_const 2
have hp (x : Spin n) :=
(HasDerivAt.finsetProd (u := Finset.univ) (fun i _ => hf x i)).mul_const (f x)
have h := HasDerivAt.sum (u := Finset.univ) (fun x _ => hp x)
have hd : (∑ x, (∑ i, (∏ j ∈ Finset.univ.erase i,
(1 + spin x j * (a j + t * b j)) / 2) • (spin x i * b i / 2)) * f x) =
∑ i, b i * ∑ x, cubeWeight (fun j => a j + t * b j) x * halfDiff i f x := by
simp only [smul_eq_mul, Finset.sum_mul]
rw [Finset.sum_comm]
apply Finset.sum_congr rfl
intro i _
rw [cubeWeight_halfDiff, Finset.mul_sum]
apply Finset.sum_congr rfl
intro x _
dsimp only [deletedWeight]
ring
rw [hd] at h
have he : (∑ x, fun y : ℝ => (∏ i, (1 + spin x i * (a i + y * b i)) / 2) * f x) =
(fun s : ℝ => cubeExtension f (fun i => a i + s * b i)) := by
funext s
simp only [Finset.sum_apply, cubeExtension, cubeWeight]
simp only [Finset.prod_apply] at h
rw [he] at h
exact h
lemma weighted_mean_sq_le {α : Type*} [Fintype α] (p f : α → ℝ)
(hp : ∀ x, 0 ≤ p x) (hs : ∑ x, p x = 1) :
(∑ x, p x * f x) ^ 2 ≤ ∑ x, p x * f x ^ 2 := by
have h : 0 ≤ ∑ x, p x * (f x - ∑ y, p y * f y) ^ 2 := by
exact Finset.sum_nonneg (fun x _ => mul_nonneg (hp x) (sq_nonneg _))
simp_rw [sub_sq, mul_add, mul_sub] at h
simp only [Finset.sum_add_distrib, Finset.sum_sub_distrib] at h
have h1 : (∑ x, p x * (2 * f x * ∑ y, p y * f y)) =
2 * (∑ x, p x * f x) ^ 2 := by
simp_rw [show ∀ x, p x * (2 * f x * ∑ y, p y * f y) =
2 * (p x * f x) * (∑ y, p y * f y) by intro x; ring]
rw [← Finset.sum_mul, ← Finset.mul_sum]
ring
have h2 : (∑ x, p x * (∑ y, p y * f y) ^ 2) = (∑ y, p y * f y) ^ 2 := by
rw [← Finset.sum_mul, hs, one_mul]
rw [h1, h2] at h
linarith only [h]
lemma cubeExtension_gradient_sq_le {n : ℕ} (f : Observables n) (z : Fin n → ℝ)
(hz : ∀ i, -1 ≤ z i ∧ z i ≤ 1) (C : ℝ)
(hf : ∀ x, ∑ i, (halfDiff i f x) ^ 2 ≤ C ^ 2) :
(∑ i, (∑ x, cubeWeight z x * halfDiff i f x) ^ 2) ≤ C ^ 2 := by
calc
_ ≤ ∑ i, ∑ x, cubeWeight z x * (halfDiff i f x) ^ 2 := by
apply Finset.sum_le_sum
intro i _
exact weighted_mean_sq_le _ _ (cubeWeight_nonneg z hz) (cubeWeight_sum z)
_ = ∑ x, cubeWeight z x * ∑ i, (halfDiff i f x) ^ 2 := by
rw [Finset.sum_comm]
simp_rw [Finset.mul_sum]
_ ≤ ∑ x, cubeWeight z x * C ^ 2 := by
apply Finset.sum_le_sum
intro x _
exact mul_le_mul_of_nonneg_left (hf x) (cubeWeight_nonneg z hz x)
_ = C ^ 2 := by rw [← Finset.sum_mul, cubeWeight_sum, one_mul]
lemma spin_segment_mem {n : ℕ} (x y : Spin n) (t : ℝ) (ht : t ∈ Set.Icc (0 : ℝ) 1)
(i : Fin n) : -1 ≤ spin x i + t * (spin y i - spin x i) ∧
spin x i + t * (spin y i - spin x i) ≤ 1 := by
rcases ht with ⟨hl, hu⟩
cases hx : x i <;> cases hy : y i <;>
simp only [spin, hx, hy, Bool.false_eq_true, ↓reduceIte] <;> constructor <;> nlinarith
lemma spin_vertex_distance_sq {n : ℕ} (x y : Spin n) :
(∑ i, (spin y i - spin x i) ^ 2) ≤ 4 * n := by
calc
_ ≤ ∑ _i : Fin n, (4 : ℝ) := by
apply Finset.sum_le_sum
intro i _
cases hx : x i <;> cases hy : y i <;>
norm_num [spin, hx, hy]
_ = _ := by simp; ring
lemma cubeExtension_direction_bound {n : ℕ} (f : Observables n) (z b : Fin n → ℝ)
(hz : ∀ i, -1 ≤ z i ∧ z i ≤ 1) (C : ℝ) (hC : 0 ≤ C)
(hf : ∀ x, ∑ i, (halfDiff i f x) ^ 2 ≤ C ^ 2)
(hb : ∑ i, (b i) ^ 2 ≤ 4 * n) :
|∑ i, b i * ∑ x, cubeWeight z x * halfDiff i f x| ≤ 2 * Real.sqrt n * C := by
have hn : (0 : ℝ) ≤ n := Nat.cast_nonneg n
have hg := cubeExtension_gradient_sq_le f z hz C hf
have hs : (∑ i, b i * ∑ x, cubeWeight z x * halfDiff i f x) ^ 2 ≤
(2 * Real.sqrt n * C) ^ 2 := by
calc
_ ≤ (∑ i, (b i) ^ 2) * (∑ i, (∑ x, cubeWeight z x * halfDiff i f x) ^ 2) :=
Finset.sum_mul_sq_le_sq_mul_sq Finset.univ _ _
_ ≤ (4 * n) * C ^ 2 := mul_le_mul hb hg
(Finset.sum_nonneg (fun i _ => sq_nonneg _)) (by positivity)
_ = _ := by rw [mul_pow, mul_pow, Real.sq_sqrt hn]; ring
exact le_of_sq_le_sq (by simpa only [sq_abs] using hs) (by positivity)
theorem euclidean_oscillation {n : ℕ} (f : Observables n) (C : ℝ) (hC : 0 ≤ C)
(hf : ∀ x, ∑ i, (halfDiff i f x) ^ 2 ≤ C ^ 2) (x y : Spin n) :
|f x - f y| ≤ 2 * Real.sqrt n * C := by
let F : ℝ → ℝ := fun t => cubeExtension f (fun i => spin x i + t * (spin y i - spin x i))
have hd (t : ℝ) := cubeExtension_line_deriv f (spin x) (fun i => spin y i - spin x i) t
have hdiff : ∀ t ∈ Set.Icc (0 : ℝ) 1, DifferentiableAt ℝ F t :=
fun t _ => (hd t).differentiableAt
have hbound : ∀ t ∈ Set.Icc (0 : ℝ) 1, ‖deriv F t‖ ≤ 2 * Real.sqrt n * C := by
intro t ht
rw [(hd t).deriv, Real.norm_eq_abs]
exact cubeExtension_direction_bound f _ _ (spin_segment_mem x y t ht) C hC hf
(spin_vertex_distance_sq x y)
have hv := (convex_Icc (0 : ℝ) 1).norm_image_sub_le_of_norm_deriv_le
hdiff hbound (by simp : (0 : ℝ) ∈ Set.Icc (0 : ℝ) 1)
(by simp : (1 : ℝ) ∈ Set.Icc (0 : ℝ) 1)
have hf0 : F 0 = f x := by simp [F, cubeExtension_vertex]
have hf1 : F 1 = f y := by simp [F, cubeExtension_vertex]
rw [hf0, hf1, sub_zero, norm_one, mul_one, Real.norm_eq_abs, abs_sub_comm] at hv
exact hv
end SKGapCutoff
open scoped BigOperators
end
end OAI