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Add lean source and binary files (part 84)
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import Mathlib
namespace OAI
namespace MatrixAllFields
open scoped BigOperators Topology Polynomial
namespace MatrixMultiplication.PermutationMatching
open scoped BigOperators
open Classical
noncomputable section
variable {Ω Γ : Type*} [Fintype Ω] [Fintype Γ]
def average (f : Ω → ℝ) : ℝ := (∑ ω, f ω) / Fintype.card Ω
theorem average_congr {f g : Ω → ℝ} (h : ∀ ω, f ω = g ω) :
average f = average g := by
unfold average
congr 1
exact Finset.sum_congr rfl (fun ω _ => h ω)
@[simp] theorem average_const [Nonempty Ω] (c : ℝ) :
average (fun _ : Ω => c) = c := by
have hcard : (Fintype.card Ω : ℝ) ≠ 0 := by
exact_mod_cast Fintype.card_ne_zero
simp [average, hcard]
@[simp] theorem average_zero : average (fun _ : Ω => (0 : ℝ)) = 0 := by
simp [average]
theorem average_add (f g : Ω → ℝ) :
average (fun ω => f ω + g ω) = average f + average g := by
simp [average, Finset.sum_add_distrib, add_div]
theorem average_sub (f g : Ω → ℝ) :
average (fun ω => f ω - g ω) = average f - average g := by
simp [average, Finset.sum_sub_distrib, sub_div]
theorem average_mul_const (f : Ω → ℝ) (c : ℝ) :
average (fun ω => f ω * c) = average f * c := by
simp only [average, ← Finset.sum_mul]
ring
theorem average_const_mul (c : ℝ) (f : Ω → ℝ) :
average (fun ω => c * f ω) = c * average f := by
simp only [average, ← Finset.mul_sum]
ring
theorem average_finset_sum {I : Type*} (s : Finset I) (f : I → Ω → ℝ) :
average (fun ω => ∑ i ∈ s, f i ω) = ∑ i ∈ s, average (f i) := by
unfold average
rw [Finset.sum_comm]
simp only [div_eq_mul_inv, Finset.sum_mul]
theorem average_sum {I : Type*} (s : Finset I) (f : Ω → I → ℝ) :
average (fun ω => ∑ i ∈ s, f ω i) = ∑ i ∈ s, average (fun ω => f ω i) :=
average_finset_sum s (fun i ω => f ω i)
theorem average_nonneg {f : Ω → ℝ} (h : ∀ ω, 0 ≤ f ω) : 0 ≤ average f := by
exact div_nonneg (Finset.sum_nonneg (fun ω _ => h ω)) (Nat.cast_nonneg _)
theorem average_mono {f g : Ω → ℝ} (h : ∀ ω, f ω ≤ g ω) :
average f ≤ average g := by
exact div_le_div_of_nonneg_right (Finset.sum_le_sum (fun ω _ => h ω))
(Nat.cast_nonneg _)
theorem average_indicator_eq (P : Ω → Prop) [DecidablePred P] :
average (fun ω => if P ω then (1 : ℝ) else 0) =
((Finset.univ.filter P).card : ℝ) / (Fintype.card Ω : ℝ) := by
simp [average]
theorem average_equiv (e : Ω ≃ Γ) (f : Γ → ℝ) :
average (fun ω => f (e ω)) = average f := by
unfold average
rw [Fintype.card_congr e, e.sum_comp]
theorem average_prod (f : Ω → ℝ) (g : Γ → ℝ) :
average (fun p : Ω × Γ => f p.1 * g p.2) = average f * average g := by
simp only [average, Fintype.sum_prod_type, Fintype.card_prod, Nat.cast_mul,
← Finset.mul_sum, ← Finset.sum_mul]
exact mul_div_mul_comm _ _ _ _
theorem average_prod_average (f : Ω × Γ → ℝ) :
average f = average (fun ω => average (fun γ => f (ω, γ))) := by
simp only [average, Fintype.sum_prod_type, Fintype.card_prod, Nat.cast_mul,
div_eq_mul_inv, ← Finset.sum_mul, mul_inv_rev]
ring
@[simp] theorem average_prod_fst [Nonempty Γ] (f : Ω → ℝ) :
average (fun p : Ω × Γ => f p.1) = average f := by
simpa using average_prod f (fun _ : Γ => (1 : ℝ))
@[simp] theorem average_prod_snd [Nonempty Ω] (g : Γ → ℝ) :
average (fun p : Ω × Γ => g p.2) = average g := by
simpa using average_prod (fun _ : Ω => (1 : ℝ)) g
theorem average_centered_sq [Nonempty Ω] (f : Ω → ℝ) :
average (fun ω => (f ω - average f) ^ 2) =
average (fun ω => f ω ^ 2) - (average f) ^ 2 := by
calc
average (fun ω => (f ω - average f) ^ 2) =
average (fun ω => f ω ^ 2 - (2 * average f) * f ω + (average f) ^ 2) := by
apply average_congr
intro ω
ring
_ = _ := by rw [average_add, average_sub, average_const_mul, average_const]; ring
section Coordinates
variable {I : Type*} [Fintype I] [DecidableEq I] {X : I → Type*}
[∀ i, Fintype (X i)] [∀ i, Nonempty (X i)]
theorem average_pi_eval (i : I) (f : X i → ℝ) :
average (fun ω : ∀ i, X i => f (ω i)) = average f := by
classical
change average (fun ω => (fun p : X i × (∀ j : {j // j ≠ i}, X j) => f p.1)
((Equiv.piSplitAt i X) ω)) = average f
rw [average_equiv (Equiv.piSplitAt i X)
(fun p : X i × (∀ j : {j // j ≠ i}, X j) => f p.1), average_prod_fst]
theorem average_pi_restrict (D : Finset I) (f : (∀ i : {i // i ∈ D}, X i) → ℝ) :
average (fun ω : ∀ i, X i => f (fun i => ω i)) = average f := by
classical
change average (fun ω =>
(fun p : (∀ i : {i // i ∈ D}, X i) × (∀ i : {i // i ∉ D}, X i) => f p.1)
((Equiv.piEquivPiSubtypeProd (fun i => i ∈ D) X) ω)) = average f
rw [average_equiv (Equiv.piEquivPiSubtypeProd (fun i => i ∈ D) X)
(fun p : (∀ i : {i // i ∈ D}, X i) × (∀ i : {i // i ∉ D}, X i) => f p.1),
average_prod_fst]
theorem average_prod_pi_restrict (D : Finset I)
(f : ((∀ i : {i // i ∈ D}, X i) × (∀ i : {i // i ∈ D}, X i)) → ℝ) :
average (fun p : (∀ i, X i) × (∀ i, X i) =>
f ((fun i => p.1 i), (fun i => p.2 i))) = average f := by
classical
rw [average_prod_average]
calc
_ = average (fun x : ∀ i, X i =>
average (fun y : ∀ i : {i // i ∈ D}, X i => f ((fun i => x i), y))) := by
apply average_congr
intro x
exact average_pi_restrict D (fun y => f ((fun i => x i), y))
_ = average (fun x : ∀ i : {i // i ∈ D}, X i => average (fun y => f (x, y))) :=
average_pi_restrict D (fun x => average (fun y => f (x, y)))
_ = average f := (average_prod_average f).symm
theorem average_pi_eval_mul (i j : I) (hij : i ≠ j) (f : X i → ℝ) (g : X j → ℝ) :
average (fun ω : ∀ i, X i => f (ω i) * g (ω j)) = average f * average g := by
classical
change average (fun ω =>
(fun p : X i × (∀ k : {k // k ≠ i}, X k) =>
f p.1 * g (p.2 ⟨j, Ne.symm hij⟩)) ((Equiv.piSplitAt i X) ω)) = _
rw [average_equiv (Equiv.piSplitAt i X)
(fun p : X i × (∀ k : {k // k ≠ i}, X k) =>
f p.1 * g (p.2 ⟨j, Ne.symm hij⟩)),
average_prod f (fun k : ∀ k : {k // k ≠ i}, X k => g (k ⟨j, Ne.symm hij⟩))]
exact congrArg (fun t => average f * t)
(average_pi_eval (X := fun k : {k // k ≠ i} => X k) ⟨j, Ne.symm hij⟩ g)
theorem average_pi_sum_centered_sq (f : ∀ i, X i → ℝ) :
average (fun ω : ∀ i, X i => (∑ i, (f i (ω i) - average (f i))) ^ 2) =
∑ i, average (fun x => (f i x - average (f i)) ^ 2) := by
classical
let c : ∀ i, X i → ℝ := fun i x => f i x - average (f i)
have hc (i : I) : average (c i) = 0 := by
simp [c, average_sub]
change average (fun ω : ∀ i, X i => (∑ i, c i (ω i)) ^ 2) =
∑ i, average (fun x => (c i x) ^ 2)
calc
_ = ∑ i, ∑ j, average (fun ω : ∀ i, X i => c i (ω i) * c j (ω j)) := by
simp only [pow_two, Finset.sum_mul, Finset.mul_sum, average_finset_sum]
exact Finset.sum_comm
_ = _ := by
apply Finset.sum_congr rfl
intro i hi
calc
(∑ j, average (fun ω : ∀ i, X i => c i (ω i) * c j (ω j))) =
average (fun ω : ∀ i, X i => c i (ω i) * c i (ω i)) := by
apply Finset.sum_eq_single i
· intro j hj hji
rw [average_pi_eval_mul i j (Ne.symm hji), hc, hc, zero_mul]
· simp
_ = average (fun x => (c i x) ^ 2) := by
simp only [pow_two]
exact average_pi_eval i (fun x => c i x * c i x)
end Coordinates
theorem deviation_bound (f : Ω → ℝ) (μ δ : ℝ) (hδ : 0 < δ) :
average (fun ω => if δ ≤ |f ω - μ| then (1 : ℝ) else 0) * δ ^ 2 ≤
average (fun ω => (f ω - μ) ^ 2) := by
rw [← average_mul_const]
apply average_mono
intro ω
split_ifs with h
· simp only [one_mul]
have hh := (sq_le_sq₀ (le_of_lt hδ) (abs_nonneg (f ω - μ))).2 h
simpa only [sq_abs] using hh
· simp only [zero_mul]
exact sq_nonneg _
theorem average_indicator_exists_le_sum {I : Type*} [Fintype I]
(P : I → Ω → Prop) [∀ i ω, Decidable (P i ω)] :
average (fun ω => if ∃ i, P i ω then (1 : ℝ) else 0) ≤
∑ i, average (fun ω => if P i ω then (1 : ℝ) else 0) := by
classical
rw [← average_finset_sum]
apply average_mono
intro ω
by_cases h : ∃ i, P i ω
· rw [ite_eq_left h]
obtain ⟨i, hi⟩ := h
calc
(1 : ℝ) = (if P i ω then (1 : ℝ) else 0) := by simp [hi]
_ ≤ ∑ j, if P j ω then (1 : ℝ) else 0 :=
Finset.single_le_sum (f := fun j => if P j ω then (1 : ℝ) else 0)
(fun j _ => by split_ifs <;> norm_num) (Finset.mem_univ i)
· rw [ite_eq_right h]
exact Finset.sum_nonneg (fun i _ => by split_ifs <;> norm_num)
end
end MatrixMultiplication.PermutationMatching
end MatrixAllFields
end OAI