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Add lean source and binary files (part 40)
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import OAI.Combinatorics.BooleanFunctions.FiniteMoments
import OAI.Combinatorics.BooleanFunctions.MomentTransfer
namespace OAI
open scoped BigOperators Topology NNReal ENNReal
open MeasureTheory ProbabilityTheory Filter Real
noncomputable section
namespace SquareRootDegree
namespace SoftEvent
attribute [local instance] Classical.propDecidable
open FiniteMoments MomentTransfer
variable {ι α : Type*} [Fintype ι] [Fintype α] [Nonempty α]
omit [Nonempty α] in
theorem average_div_const (f : α → ℝ) (c : ℝ) :
average (fun a => f a/c) = average f/c := by
simp only [div_eq_mul_inv,average_mul_const]
def rawMoments (T : α → ℝ) (w : ι → α → ℝ) (k : Fin 3) (i : ι) : ℝ :=
average (fun a => w i a*(T a)^(k:ℕ))
omit [Nonempty α] in
theorem weighted_shifted_sq (w : ι → α → ℝ) (hw : ∀ i, average (w i) ≠ 0)
(T : ι → α → ℝ) (c : ℝ) :
average (fun x : ι → α => (∏ i, w i (x i))*(c+∑ i, T i (x i))^2) =
(∏ i, average (w i)) * ((c+∑ i, average (fun a => w i a*T i a)/average (w i))^2 +
∑ i, (average (fun a => w i a*(T i a)^2)/average (w i) -
(average (fun a => w i a*T i a)/average (w i))^2)) := by
let r := fun i a => w i a/average (w i)
have hr (i : ι) : average (r i) = 1 := average_normalized_weight _ (hw i)
have he : (fun x : ι → α => (∏ i, w i (x i))*(c+∑ i, T i (x i))^2) =
fun x => (∏ i, average (w i))*((∏ i, r i (x i))*(c+∑ i, T i (x i))^2) := by
funext x
dsimp [r]
rw [Finset.prod_div_distrib]
field_simp [Finset.prod_ne_zero_iff.mpr (fun i _ => hw i)]
rw [he,average_const_mul]
have hm (i : ι) : average (fun a => r i a*T i a) =
average (fun a => w i a*T i a)/average (w i) := by
simp only [r,div_mul_eq_mul_div,average_div_const]
have hh := normalized_product_shifted_sq r hr T _ hm c
simp only [r,div_mul_eq_mul_div,average_div_const] at hh
exact congrArg ((∏ i, average (w i)) * ·) hh
omit [Nonempty α] in
theorem weighted_deficit (w : ι → α → ℝ) (hw : ∀ i, average (w i) ≠ 0)
(T : α → ℝ) (c : ℝ) :
average (fun x : ι → α => (∏ i, w i (x i))*(1-(c+∑ i, T (x i))^2)) =
(∏ i, (rawMoments T w) 0 i) *
(1-(c+∑ i, means (rawMoments T w) i)^2-∑ i, vars (rawMoments T w) i) := by
simp only [mul_sub,mul_one,average_sub]
rw [average_pi_prod w,weighted_shifted_sq w hw (fun _ => T) c]
simp only [rawMoments,means,vars,Fin.val_zero,Fin.val_one,show ((2 : Fin 3):ℕ) = 2 from rfl,pow_zero,pow_one,mul_one]
ring
theorem prod_set_one (f : ι → ℝ) (i : ι) :
(∏ j, if j = i then 1 else f j) = ∏ j ∈ Finset.univ.erase i, f j := by
rw [← Finset.prod_erase_mul Finset.univ (fun j => if j = i then 1 else f j) (Finset.mem_univ i)]
simp only [ite_true,mul_one]
apply Finset.prod_congr rfl
intro j hj
simp only [ite_eq_right (Finset.mem_erase.mp hj).1]
theorem sum_set_zero (f : ι → ℝ) (i : ι) :
(∑ j, if j = i then 0 else f j) = ∑ j ∈ Finset.univ.erase i, f j := by
rw [← Finset.sum_erase_add Finset.univ (fun j => if j = i then 0 else f j) (Finset.mem_univ i)]
simp only [ite_true,add_zero]
apply Finset.sum_congr rfl
intro j hj
simp only [ite_eq_right (Finset.mem_erase.mp hj).1]
def without (w : ι → α → ℝ) (i j : ι) (a : α) : ℝ := if j = i then 1 else w j a
theorem weighted_deficit_without (w : ι → α → ℝ) (hw : ∀ i, average (w i) ≠ 0)
(T : α → ℝ) (h0 : average T = 0) (h1 : average (fun a => (T a)^2) = 1)
(c : ℝ) (i : ι) :
average (fun x : ι → α => (∏ j ∈ Finset.univ.erase i, w j (x j))*(1-(c+∑ j, T (x j))^2)) =
-((∏ j, rawMoments T w 0 j)/rawMoments T w 0 i) *
((c+∑ j, means (rawMoments T w) j-means (rawMoments T w) i)^2+
∑ j ∈ Finset.univ.erase i, vars (rawMoments T w) j) := by
let l := rawMoments T w
have hb (j) : rawMoments T (without w i) 0 j = if j = i then 1 else l 0 j := by
by_cases hj : j = i <;> simp [rawMoments,without,hj,average_const,l]
have hm (j) : means (rawMoments T (without w i)) j = if j = i then 0 else means l j := by
by_cases hj : j = i <;> simp [means,rawMoments,without,hj,average_const,h0,l]
have hv (j) : vars (rawMoments T (without w i)) j = if j = i then 1 else vars l j := by
by_cases hj : j = i
· simp [vars,hm,rawMoments,without,hj,average_const,h1]
· simp [vars,hm,rawMoments,without,hj,l]
have hwb (j) : average (without w i j) ≠ 0 := by
change average (fun a => if j = i then 1 else w j a) ≠ 0
by_cases hj : j = i <;> simp [hj,average_const,hw]
have he : (fun x : ι → α => (∏ j ∈ Finset.univ.erase i, w j (x j))*(1-(c+∑ j, T (x j))^2)) =
fun x => (∏ j, without w i j (x j))*(1-(c+∑ j, T (x j))^2) := by
funext x
change _ = (∏ j, if j = i then 1 else w j (x j))*(1-(c+∑ j, T (x j))^2)
rw [prod_set_one]
rw [he,weighted_deficit (without w i) hwb T c]
simp_rw [hb,hm,hv]
rw [prod_set_one,sum_set_zero]
have hp : (∏ j ∈ Finset.univ.erase i, l 0 j) = (∏ j, l 0 j)/l 0 i := by
apply (eq_div_iff (by simpa [l,rawMoments] using hw i)).mpr
exact Finset.prod_erase_mul _ _ (Finset.mem_univ i)
have hs := Finset.sum_erase_add Finset.univ (fun j => means l j) (Finset.mem_univ i)
have hvs : (∑ j, if j = i then (1:ℝ) else vars l j) = 1+∑ j ∈ Finset.univ.erase i, vars l j := by
rw [← Finset.sum_erase_add Finset.univ (fun j => if j = i then (1:ℝ) else vars l j)
(Finset.mem_univ i)]
simp only [ite_true]
rw [add_comm]
congr 1
apply Finset.sum_congr rfl
intro j hj
simp only [ite_eq_right (Finset.mem_erase.mp hj).1]
rw [hp,hvs,show (∑ j ∈ Finset.univ.erase i, means l j) = (∑ j, means l j)-means l i by linarith]
change _ = -((∏ j, l 0 j)/l 0 i)*((c+∑ j, means l j-means l i)^2+
∑ j ∈ Finset.univ.erase i, vars l j)
ring
def softWeight (s w : ι → α → ℝ) (x : α × (ι → α)) : ℝ :=
(∑ i, s i x.1 * ∏ j ∈ Finset.univ.erase i, w j (x.2 j)) - ∏ j, w j (x.2 j)
def deficit (T : α → ℝ) (b : ℝ) (a : α × (ι → α) → ℝ) : ℝ :=
average (fun x => a x*(1-(T x.1+∑ j, T (x.2 j)-b)^2))
omit [Nonempty α] in
theorem quadratic_average (T w : α → ℝ) (a v : ℝ) :
average (fun x => w x*((1+T x-a)^2+v)) = average (fun x => w x*(T x)^2) +
2*(1-a)*average (fun x => w x*T x) + ((1-a)^2+v)*average w := by
have he : (fun x => w x*((1+T x-a)^2+v)) = fun x =>
w x*(T x)^2+2*(1-a)*(w x*T x)+((1-a)^2+v)*w x := by funext x; ring
rw [he,average_add,average_add,average_const_mul,average_const_mul]
theorem soft_deficit_eq_gain (s w : ι → α → ℝ) (hw : ∀ i, average (w i) ≠ 0)
(T : α → ℝ) (h0 : average T = 0) (h1 : average (fun a => (T a)^2) = 1) :
deficit T ((∑ i, means (rawMoments T w) i)-1) (softWeight s w) =
gain (rawMoments T w) (rawMoments T s) := by
let l := rawMoments T w
let b := (∑ i, means l i)-1
let P := ∏ i, l 0 i
let v := ∑ i, vars l i
have hshift (u : α) (z : ι → α) : T u+∑ i, T (z i)-b = T u-b+∑ i, T (z i) := by ring
have hex (u : α) (i : ι) :
average (fun z : ι → α => (∏ j ∈ Finset.univ.erase i, w j (z j))*
(1-(T u-b+∑ j, T (z j))^2)) = -(P/l 0 i)*
((1+T u-means l i)^2+∑ j ∈ Finset.univ.erase i, vars l j) := by
rw [weighted_deficit_without w hw T h0 h1 (T u-b) i]
change -(P/l 0 i)*_ = _
congr 2
dsimp [b]
ring
have hall (u : α) :
average (fun z : ι → α => (∏ j, w j (z j))*(1-(T u-b+∑ j, T (z j))^2)) =
P*(1-(1+T u)^2-v) := by
rw [weighted_deficit w hw T (T u-b)]
change P*(1-(T u-b+∑ i, means l i)^2-v) = _
dsimp [b]
ring
have ha : average (fun u => P*(1-(1+T u)^2-v)) = -P*(1+v) := by
have he : (fun u => P*(1-(1+T u)^2-v)) = fun u =>
-P*(T u)^2-2*P*T u-P*v := by funext u; ring
rw [he,average_sub,average_sub,average_const_mul,average_const_mul,average_const,h0,h1]
ring
have hi (i : ι) : average (fun u => s i u*(-(P/l 0 i)*
((1+T u-means l i)^2+∑ j ∈ Finset.univ.erase i, vars l j))) =
-P*((rawMoments T s 2 i+2*(1-means l i)*rawMoments T s 1 i+
((1-means l i)^2+∑ j ∈ Finset.univ.erase i, vars l j)*rawMoments T s 0 i)/l 0 i) := by
have he : (fun u => s i u*(-(P/l 0 i)*
((1+T u-means l i)^2+∑ j ∈ Finset.univ.erase i, vars l j))) = fun u =>
-(P/l 0 i)*(s i u*((1+T u-means l i)^2+∑ j ∈ Finset.univ.erase i, vars l j)) := by
funext u; ring
rw [he,average_const_mul,quadratic_average]
simp only [rawMoments,Fin.val_zero,Fin.val_one,show ((2:Fin 3):ℕ)=2 from rfl,pow_zero,pow_one,mul_one]
ring
change deficit T b (softWeight s w) = _
rw [deficit,average_prod]
simp only [softWeight,sub_mul,Finset.sum_mul]
simp_rw [hshift,mul_assoc]
simp only [average_sub,average_sum,average_const_mul]
simp_rw [hex,hall]
rw [ha]
simp_rw [hi]
rw [← Finset.mul_sum]
change -P*(_)-(-P*(1+v)) = P*(1+v-_)
ring
end SoftEvent
end SquareRootDegree
end
end OAI