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Add lean source and binary files (part 115)
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import OAI.NumberTheory.PowerFree.AdaptiveRanks
namespace OAI
open scoped BigOperators
open Matrix
open scoped BigOperators
open scoped BigOperators
namespace QuarticPowerFree
theorem product_distinct_prime_divisors_le (a : ℤ) (ha : a ≠ 0)
(P : Finset ℕ) (hp : ∀ p ∈ P, p.Prime)
(hd : ∀ p ∈ P, (p : ℤ) ∣ a) :
(∏ p ∈ P, (p : ℝ)) ≤ |(a : ℝ)| := by
have hn : a.natAbs ≠ 0 := (Int.natAbs_pos.mpr ha).ne'
have hs : P ⊆ a.natAbs.primeFactors := by
intro p h
exact Nat.mem_primeFactors.mpr ⟨hp p h,
by simpa using Int.natAbs_dvd_natAbs.mpr (hd p h), hn⟩
have hh := Nat.le_of_dvd (Int.natAbs_pos.mpr ha)
((Finset.prod_dvd_prod_of_subset P a.natAbs.primeFactors id hs).trans
(Nat.prod_primeFactors_dvd a.natAbs))
have he : (a.natAbs : ℝ) = |(a : ℝ)| := by
rw [← Int.cast_natCast, Int.natCast_natAbs, Int.cast_abs]
rw [← he, ← Nat.cast_prod]
exact_mod_cast hh
theorem card_large_prime_divisors_le (a : ℤ) (ha : a ≠ 0)
(P : Finset ℕ) (hp : ∀ p ∈ P, p.Prime) (hd : ∀ p ∈ P, (p : ℤ) ∣ a)
(X ζ B : ℝ) (hX : 1 < X) (hζ : 0 < ζ)
(hsmall : ∀ p ∈ P, X ^ ζ ≤ (p : ℝ)) (hlarge : |(a : ℝ)| ≤ X ^ B) :
(P.card : ℝ) ≤ B / ζ := by
have hx : 0 ≤ X := (zero_lt_one.trans hX).le
have h : X ^ (ζ * (P.card : ℝ)) ≤ X ^ B := by
rw [Real.rpow_mul hx, Real.rpow_natCast]
calc
(X ^ ζ) ^ P.card = ∏ _p ∈ P, X ^ ζ := (Finset.prod_const _).symm
_ ≤ ∏ p ∈ P, (p : ℝ) := Finset.prod_le_prod₀
(fun _ _ => (Real.rpow_pos_of_pos (zero_lt_one.trans hX) ζ).le) hsmall
_ ≤ |(a : ℝ)| := product_distinct_prime_divisors_le a ha P hp hd
_ ≤ X ^ B := hlarge
rw [le_div_iff₀ hζ]
simpa [mul_comm] using (Real.rpow_le_rpow_left_iff hX).mp h
theorem card_large_prime_divisors_le_floor (a : ℤ) (ha : a ≠ 0)
(P : Finset ℕ) (hp : ∀ p ∈ P, p.Prime) (hd : ∀ p ∈ P, (p : ℤ) ∣ a)
(X ζ B : ℝ) (hX : 1 < X) (hζ : 0 < ζ)
(hsmall : ∀ p ∈ P, X ^ ζ ≤ (p : ℝ)) (hlarge : |(a : ℝ)| ≤ X ^ B) :
P.card ≤ ⌊B / ζ⌋₊ :=
Nat.le_floor (card_large_prime_divisors_le a ha P hp hd X ζ B hX hζ hsmall hlarge)
open scoped BigOperators
def cellKernel {K V ι : Type*} [Field K] [AddCommGroup V] [Module K V]
(ev : ι → V →ₗ[K] K) (S : Set ι) : Submodule K V :=
⨅ i ∈ S, LinearMap.ker (ev i)
theorem cellKernel_mono {K V ι : Type*} [Field K] [AddCommGroup V] [Module K V]
(ev : ι → V →ₗ[K] K) {S T : Set ι} (h : S ⊆ T) :
cellKernel ev T ≤ cellKernel ev S := by
intro v hv
simp only [cellKernel, Submodule.mem_iInf, LinearMap.mem_ker] at hv ⊢
exact fun i hi => hv i (h hi)
theorem adaptiveStates_length {K V σ α : Type*} [Field K] [AddCommGroup V] [Module K V]
(W : ℕ → σ → α → Submodule K V) (next : ℕ → σ → Submodule K V → σ)
(n i : ℕ) (s : σ) (a : α) : (adaptiveStates W next n i s a).length = n+1 := by
induction n generalizing i s with
| zero => rfl
| succ n ih => simp only [adaptiveStates, List.length_cons, ih]
theorem list_minor_product_bound {σ : Type*} (l : List σ) (minor : σ → ℤ)
(X B : ℝ) (hX : 0 < X)
(hminor : ∀ s ∈ l, minor s ≠ 0 ∧ |(minor s : ℝ)| ≤ X^B) :
(l.map minor).prod ≠ 0 ∧ |(((l.map minor).prod : ℤ) : ℝ)| ≤ X^(B*(l.length : ℝ)) := by
induction l with
| nil => simp
| cons x l ih =>
have hx := hminor x (by simp)
have ht := ih (fun s hs => hminor s (by simp [hs]))
constructor
· simpa only [List.map_cons, List.prod_cons] using mul_ne_zero hx.1 ht.1
· simp only [List.map_cons, List.prod_cons, Int.cast_mul, abs_mul,
List.length_cons, Nat.cast_add, Nat.cast_one, mul_add, mul_one,
Real.rpow_add hX]
exact (mul_le_mul hx.2 ht.2 (abs_nonneg _) (Real.rpow_nonneg hX.le _)).trans_eq (mul_comm _ _)
theorem adaptive_deletion_bound {K V σ : Type*} [Field K] [AddCommGroup V]
[Module K V] [Module.Finite K V]
(W : ℕ → σ → Finset ℕ → Submodule K V)
(next : ℕ → σ → Submodule K V → σ)
(hW : ∀ i s A B, A ⊆ B → W i s A ≤ W i s B)
(minor : σ → ℤ) (n : ℕ) (s : σ)
(P : Finset ℕ) (hp : ∀ p ∈ P, p.Prime)
(X ζ B : ℝ) (hX : 1 < X) (hζ : 0 < ζ)
(hsmall : ∀ p ∈ P, X^ζ ≤ (p : ℝ))
(hminor : ∀ A ⊆ P, ∀ t ∈ adaptiveStates W next n 0 s A,
minor t ≠ 0 ∧ |(minor t : ℝ)| ≤ X^B)
(ell T : ℕ) (hT : 0 < T) (hsize : ell+T < P.card) :
let bad := fun A => P.filter fun p : ℕ =>
(p : ℤ) ∣ ((adaptiveStates W next n 0 s A).map minor).prod
(∑ j ∈ Finset.range T, badFraction P (ell+j+1) bad) / (T : ℝ) ≤
(((Module.finrank K V+1)^n : ℕ) : ℝ) / T +
(⌊(B*(n+1:ℕ))/ζ⌋₊ : ℝ) / ((P.card : ℝ) - (ell+T)) := by
classical
intro bad
let R := fun A => adaptiveCode W next n 0 s A
apply deletion_average_bound P ell T hT hsize R bad
((Module.finrank K V+1)^n) ⌊(B*(n+1:ℕ))/ζ⌋₊
· intro A _
exact (adaptiveCode_lt W next n 0 s A).le
· intro A _ q _
exact (adaptiveCode_mono_stable W next (A.erase q) A
(fun i s => hW i s _ _ (Finset.erase_subset _ _)) n 0 s).1
· intro A _ q _ he
have hs := (adaptiveCode_mono_stable W next (A.erase q) A
(fun i s => hW i s _ _ (Finset.erase_subset _ _)) n 0 s).2 he
dsimp [bad]
rw [hs]
· intro A hAP
let l := adaptiveStates W next n 0 s A
have hb := list_minor_product_bound l minor X B (zero_lt_one.trans hX) (hminor A hAP)
have hl : l.length = n+1 := adaptiveStates_length W next n 0 s A
have hin : P ∩ bad A = bad A := Finset.inter_eq_right.mpr (Finset.filter_subset _ _)
rw [hin]
apply card_large_prime_divisors_le_floor _ hb.1 _
(fun p h => hp p (Finset.mem_filter.mp h).1)
(fun _ h => (Finset.mem_filter.mp h).2) X ζ (B*(n+1:ℕ)) hX hζ
(fun p h => hsmall p (Finset.mem_filter.mp h).1)
simpa only [hl] using hb.2
open scoped BigOperators
def BlockSample (P : Finset ℕ) (ell T : ℕ) :=
Σ j : Fin T, (P.powersetCard (ell+j.val+1))
noncomputable instance (P : Finset ℕ) (ell T : ℕ) : Fintype (BlockSample P ell T) :=
inferInstanceAs (Fintype (Σ j : Fin T, (P.powersetCard (ell+j.val+1))))
noncomputable def blockWeight (P : Finset ℕ) (ell T : ℕ)
(a : BlockSample P ell T) : ℝ :=
((T : ℝ) * ((P.powersetCard (ell+a.1.val+1)).card : ℝ))⁻¹
def blockSet {P : Finset ℕ} {ell T : ℕ} (a : BlockSample P ell T) : Finset ℕ :=
a.2.val
theorem blockSet_spec {P : Finset ℕ} {ell T : ℕ} (a : BlockSample P ell T) :
blockSet a ⊆ P ∧ (blockSet a).card = ell+a.1.val+1 :=
Finset.mem_powersetCard.mp a.2.property
theorem blockWeight_nonneg (P : Finset ℕ) (ell T : ℕ)
(a : BlockSample P ell T) : 0 ≤ blockWeight P ell T a := by
unfold blockWeight
positivity
theorem blockWeight_sum (P : Finset ℕ) (ell T : ℕ)
(hT : 0 < T) (hsize : ell+T ≤ P.card) :
∑ a : BlockSample P ell T, blockWeight P ell T a = 1 := by
classical
change (∑ a : Σ j : Fin T, (P.powersetCard (ell+j.val+1)),
((T : ℝ) * ((P.powersetCard (ell+a.1.val+1)).card : ℝ))⁻¹) = 1
rw [Fintype.sum_sigma]
have he (j : Fin T) :
(∑ _a : (P.powersetCard (ell+j.val+1)),
((T : ℝ) * ((P.powersetCard (ell+j.val+1)).card : ℝ))⁻¹) = (T : ℝ)⁻¹ := by
have hc : 0 < (P.powersetCard (ell+j.val+1)).card :=
Finset.card_pos.mpr (Finset.powersetCard_nonempty.mpr (by omega))
simp only [Finset.sum_const, Finset.card_univ, Fintype.card_coe, nsmul_eq_mul]
field_simp
simp only [he,Finset.sum_const,Finset.card_univ,Fintype.card_fin,nsmul_eq_mul]
exact mul_inv_cancel₀ (Nat.cast_ne_zero.mpr hT.ne')
theorem blockWeight_bad_average (P : Finset ℕ) (ell T : ℕ)
(bad : Finset ℕ → Finset ℕ) :
(∑ a : BlockSample P ell T, blockWeight P ell T a *
((∑ q ∈ blockSet a, if q ∈ bad (blockSet a) then (1 : ℝ) else 0) /
(blockSet a).card)) =
(∑ j ∈ Finset.range T, badFraction P (ell+j+1) bad) / T := by
classical
change (∑ a : Σ j : Fin T, (P.powersetCard (ell+j.val+1)),
((T : ℝ) * ((P.powersetCard (ell+a.1.val+1)).card : ℝ))⁻¹ *
((∑ q ∈ a.2.val, if q ∈ bad a.2.val then (1 : ℝ) else 0) / a.2.val.card)) = _
rw [Fintype.sum_sigma, ← Fin.sum_univ_eq_sum_range, Finset.sum_div]
apply Finset.sum_congr rfl
intro j _
simp only [badFraction]
rw [Finset.sum_coe_sort (P.powersetCard (ell+j.val+1))
(fun S : Finset ℕ => ((T : ℝ) * ((P.powersetCard (ell+j.val+1)).card : ℝ))⁻¹ *
((∑ q ∈ S, if q ∈ bad S then (1 : ℝ) else 0) / S.card)),
Finset.sum_div, Finset.sum_div]
apply Finset.sum_congr rfl
intro a ha
rw [(Finset.mem_powersetCard.mp ha).2]
simp only [div_eq_mul_inv, _root_.mul_inv_rev]
ring
theorem independent_average_le {ι : Type*} [Fintype ι] [DecidableEq ι]
{Ω : ι → Type*} [∀ i, Fintype (Ω i)]
(w : ∀ i, Ω i → ℝ) (hw : ∀ i a, 0 ≤ w i a)
(hsum : ∀ i, ∑ a, w i a = 1) (i : ι)
(F : (∀ j, Ω j) → ℝ) (C : ℝ)
(hF : ∀ x, (∑ a, w i a * F (Function.update x i a)) ≤ C) :
(∑ x, (∏ j, w j (x j)) * F x) ≤ C := by
classical
let E := Equiv.piSplitAt i Ω
let W : (∀ j : {j // j ≠ i}, Ω j) → ℝ := fun x => ∏ j : {j // j ≠ i}, w j.val (x j)
have hs : ∑ x, W x = 1 := by
rw [show (∑ x, W x) = ∑ x : (∀ j : {j // j ≠ i}, Ω j), ∏ j : {j // j ≠ i}, w j.val (x j) from rfl, ← Fintype.prod_sum]
simp only [hsum, Finset.prod_const_one]
have hwE (x : ∀ j, Ω j) : (∏ j, w j (x j)) = w i (x i) * W (E x).2 := by
rw [← Finset.mul_prod_erase Finset.univ (fun j => w j (x j)) (Finset.mem_univ i)]
congr 1
exact Finset.prod_subtype (p := fun j => j ≠ i) (Finset.univ.erase i) (by simp) (fun j => w j (x j))
have hE (x : (∀ j : {j // j ≠ i}, Ω j)) (a b : Ω i) :
Function.update (E.symm (a,x)) i b = E.symm (b,x) := by
funext j
by_cases h : j = i
· subst j; simp [E, Equiv.piSplitAt]
· simp [E, Equiv.piSplitAt, h]
have hEq : (∑ x, (∏ j, w j (x j)) * F x) =
∑ x, W x * (∑ a, w i a * F (E.symm (a,x))) := by
rw [Fintype.sum_equiv E _ (fun z => w i z.1 * W z.2 * F (E.symm z))]
· rw [Fintype.sum_prod_type, Finset.sum_comm]
apply Finset.sum_congr rfl
intro x _
rw [Finset.mul_sum]
apply Finset.sum_congr rfl
intro a _
ring
· intro x
rw [hwE, E.symm_apply_apply]
rfl
rw [hEq]
have hFin (x : ∀ j : {j // j ≠ i}, Ω j) :
(∑ a, w i a * F (E.symm (a,x))) ≤ C := by
by_cases h : Nonempty (Ω i)
· obtain ⟨a⟩ := h
simpa only [hE] using hF (E.symm (a,x))
· have := not_nonempty_iff.mp h
have hz := hsum i
simp at hz
calc
_ ≤ ∑ x, W x * C := Finset.sum_le_sum fun x _ =>
mul_le_mul_of_nonneg_left (hFin x) (Finset.prod_nonneg fun j _ => hw j.val (x j))
_ = C := by rw [← Finset.sum_mul, hs, one_mul]
theorem exists_many_regular {Ω ι : Type*} [Fintype Ω] [Fintype ι]
(w : Ω → ℝ) (hw : ∀ a, 0 ≤ w a) (hsum : ∑ a, w a = 1)
(bad : Ω → ι → Prop) [DecidableRel bad]
(η : ℝ) (hbad : ∀ z, (∑ a, w a * if bad a z then (1 : ℝ) else 0) ≤ η) :
∃ a : Ω, ((Finset.univ.filter fun z => ¬ bad a z).card : ℝ) ≥
(1-η) * Fintype.card ι := by
classical
have havg : (∑ a, w a * ((Finset.univ.filter fun z => bad a z).card : ℝ)) ≤
η * Fintype.card ι := by
simp_rw [← Finset.sum_boole, Finset.mul_sum]
rw [Finset.sum_comm]
exact (Finset.sum_le_sum fun z _ => hbad z).trans_eq (by simp; ring)
have hex : ∃ a : Ω, ((Finset.univ.filter fun z => bad a z).card : ℝ) ≤ η * Fintype.card ι := by
by_contra h
push Not at h
have hp : ∃ a, 0 < w a := by
by_contra h0
push Not at h0
have hz : ∀ a, w a = 0 := fun a => le_antisymm (h0 a) (hw a)
simp [hz] at hsum
obtain ⟨a,ha⟩ := hp
have hlt : (∑ b, w b * (η * Fintype.card ι)) <
∑ b, w b * ((Finset.univ.filter fun z => bad b z).card : ℝ) := by
apply Finset.sum_lt_sum
· intro b _
exact mul_le_mul_of_nonneg_left (h b).le (hw b)
· exact ⟨a,Finset.mem_univ _,mul_lt_mul_of_pos_left (h a) ha⟩
rw [← Finset.sum_mul,hsum,one_mul] at hlt
linarith
obtain ⟨a,ha⟩ := hex
refine ⟨a,?_⟩
have hc : (Finset.univ.filter fun z => bad a z).card +
(Finset.univ.filter fun z => ¬ bad a z).card = Fintype.card ι := by
simpa using Finset.card_filter_add_card_filter_not (s := Finset.univ) (fun z => bad a z)
have hcr : ((Finset.univ.filter fun z => bad a z).card : ℝ) +
((Finset.univ.filter fun z => ¬ bad a z).card : ℝ) = Fintype.card ι := by exact_mod_cast hc
linarith
theorem bad_blocks_indicator_le {r : ℕ} (b : Fin r → ℝ) (hb : ∀ i, 0 ≤ b i)
(ξ : ℝ) (hξ : 0 < ξ) :
(if ∃ i, ξ < b i then (1 : ℝ) else 0) ≤ (∑ i, b i) / ξ := by
classical
split_ifs with h
· obtain ⟨i,hi⟩ := h
rw [le_div_iff₀ hξ, one_mul]
exact hi.le.trans (Finset.single_le_sum (fun j _ => hb j) (Finset.mem_univ i))
· exact div_nonneg (Finset.sum_nonneg fun i _ => hb i) hξ.le
end QuarticPowerFree
end OAI