openAI-math-dataset / lean /OAI /Combinatorics /ListHadwiger /FractionalSampling.lean
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import OAI.Combinatorics.ListHadwiger.Fractional
namespace OAI
namespace LinearListHadwiger.Fractional
open scoped BigOperators
variable {V : Type} [Fintype V] [DecidableEq V]
lemma Dual.extend {G : SimpleGraph V} {S : Set V} [DecidablePred (· ∈ S)] {w : S → ℝ}
(h : Dual (G.induce S) w) :
Dual G (fun v => if hv : v ∈ S then w ⟨v,hv⟩ else 0) := by
classical
refine ⟨?_,?_⟩
· intro v
dsimp only
split_ifs
· exact h.1 _
· exact le_rfl
· intro I hI
let J : Finset S := Finset.univ.filter fun v => v.val ∈ I
have hJ : Stable (G.induce S) J := by
intro v hv u hu hadj
exact hI _ (Finset.mem_filter.mp hv).2 _ (Finset.mem_filter.mp hu).2 hadj
have hs : (∑ v ∈ I, if hv : v ∈ S then w ⟨v,hv⟩ else 0) = ∑ v ∈ J, w v := by
calc
_ = ∑ v ∈ I.filter (· ∈ S), if hv : v ∈ S then w ⟨v,hv⟩ else 0 := by
rw [Finset.sum_filter]
apply Finset.sum_congr rfl
intro v _
by_cases hv : v ∈ S <;> simp [hv]
_ = _ := by
apply Finset.sum_bij (fun v hv => (⟨v,(Finset.mem_filter.mp hv).2⟩ : S))
· intro v hv
exact Finset.mem_filter.mpr ⟨Finset.mem_univ _,(Finset.mem_filter.mp hv).1⟩
· intro v hv u hu he
exact congrArg Subtype.val he
· intro v hv
exact ⟨v.val,Finset.mem_filter.mpr ⟨(Finset.mem_filter.mp hv).2,v.property⟩,rfl⟩
· intro v hv
simp only [dite_eq_left (Finset.mem_filter.mp hv).2]
rw [hs]
exact h.2 J hJ
theorem induced_duality (G : SimpleGraph V) (S : Finset V) :
∃ w : V → ℝ, Dual G w ∧ (∀ v ∉ S, w v = 0) ∧
(∑ v ∈ S, w v) = number (G.induce (S : Set V)) := by
classical
obtain ⟨w,hw,heq⟩ := duality (G.induce (S : Set V))
refine ⟨fun v => if hv : v ∈ S then w ⟨v,hv⟩ else 0,hw.extend,?_,?_⟩
· intro v hv
simp [hv]
· rw [← heq]
calc
_ = ∑ v : (S : Set V), (if hv : v.val ∈ S then w ⟨v.val,hv⟩ else 0) :=
(Finset.sum_coe_sort S _).symm
_ = _ := by
apply Finset.sum_congr rfl
intro v _
split_ifs with hv
· rfl
· exact (hv v.property).elim
lemma Dual.restrict_sum {G : SimpleGraph V} {w : V → ℝ} (hw : Dual G w)
(S : Finset V) : (∑ v ∈ S, w v) ≤ number (G.induce (S : Set V)) := by
classical
obtain ⟨μ,hμ,hcost⟩ := optimum_exists (G.induce (S : Set V))
have h := weak_duality hμ (hw.comap Subtype.val Subtype.val_injective)
rw [hcost] at h
have he : (∑ v : (S : Set V), w v.val) = ∑ v ∈ S, w v :=
(Finset.sum_subtype S (fun v => Iff.rfl) w).symm
rw [he] at h
exact h
lemma induced_number_le (G : SimpleGraph V) (S T : Finset V) :
number (G.induce (S : Set V)) ≤ number (G.induce (T : Set V)) + (S \ T).card := by
classical
obtain ⟨w,hw,hzero,hmax⟩ := induced_duality G S
have hsplit : (∑ v ∈ S, w v) = (∑ v ∈ S ∩ T, w v) + ∑ v ∈ S \ T, w v := by
have hd : Disjoint (S ∩ T) (S \ T) := by
apply Finset.disjoint_left.mpr
intro v hv ht
exact (Finset.mem_sdiff.mp ht).2 (Finset.mem_inter.mp hv).2
rw [← Finset.sum_union hd]
congr 1
ext v
simp only [Finset.mem_union,Finset.mem_inter,Finset.mem_sdiff]
tauto
have hT : (∑ v ∈ S ∩ T, w v) ≤ number (G.induce (T : Set V)) := by
exact (Finset.sum_le_sum_of_subset_of_nonneg Finset.inter_subset_right
(fun v _ _ => hw.1 v)).trans (hw.restrict_sum T)
have hD : (∑ v ∈ S \ T, w v) ≤ (S \ T).card := by
calc
_ ≤ ∑ _v ∈ S \ T, (1 : ℝ) := Finset.sum_le_sum (fun v _ => hw.le_one v)
_ = _ := by simp
rw [← hmax,hsplit]
linarith
lemma induced_number_abs_sub_le (G : SimpleGraph V) (S T : Finset V) :
|number (G.induce (S : Set V)) - number (G.induce (T : Set V))| ≤
(S \ T).card + (T \ S).card := by
have hST := induced_number_le G S T
have hTS := induced_number_le G T S
rw [abs_le]
constructor <;> linarith [Nat.cast_nonneg (α := ℝ) (S \ T).card,
Nat.cast_nonneg (α := ℝ) (T \ S).card]
end LinearListHadwiger.Fractional
namespace LinearListHadwiger.Sampling
open scoped BigOperators
variable {ι Ω : Type} [Fintype ι] [Fintype Ω] [DecidableEq ι]
noncomputable def productMass (μ : ι → Ω → ℝ) (x : ι → Ω) : ℝ := ∏ i, μ i (x i)
noncomputable def expectation (μ f : Ω → ℝ) : ℝ := ∑ ω, μ ω * f ω
noncomputable def probability (μ : Ω → ℝ) (A : Ω → Prop) : ℝ :=
by classical exact ∑ ω, if A ω then μ ω else 0
lemma productMass_nonneg {ι Ω : Type} [Fintype ι] [Fintype Ω] [DecidableEq ι] {μ : ι → Ω → ℝ} (h : ∀ i ω, 0 ≤ μ i ω) (x : ι → Ω) :
0 ≤ productMass μ x := Finset.prod_nonneg (fun i _ => h i _)
lemma productMass_sum {μ : ι → Ω → ℝ} (h : ∀ i, ∑ ω, μ i ω = 1) :
∑ x, productMass μ x = 1 := by
classical
change (∑ x : ι → Ω, ∏ i, μ i (x i)) = 1
rw [← Fintype.prod_sum]
simp [h]
lemma expectation_product (μ f : ι → Ω → ℝ) :
expectation (productMass μ) (fun x => ∏ i, f i (x i)) =
∏ i, expectation (μ i) (f i) := by
classical
simp only [expectation,productMass,← Finset.prod_mul_distrib]
exact (Fintype.prod_sum (ι := ι) (κ := fun _ => Ω) (fun i a => μ i a * f i a)).symm
lemma expectation_coordinate {μ : ι → Ω → ℝ} (h : ∀ i, ∑ ω, μ i ω = 1)
(i : ι) (f : Ω → ℝ) :
expectation (productMass μ) (fun x => f (x i)) = expectation (μ i) f := by
classical
have he (x : ι → Ω) : (∏ j : ι, if j = i then f (x j) else 1) = f (x i) := by simp
calc
_ = expectation (productMass μ) (fun x => ∏ j, if j = i then f (x j) else 1) := by
congr 1
funext x
exact (he x).symm
_ = ∏ j, expectation (μ j) (fun ω => if j = i then f ω else 1) :=
expectation_product μ (fun j ω => if j = i then f ω else 1)
_ = expectation (μ i) f := by
rw [Finset.prod_eq_single i]
· simp
· intro j _ hji
simp [expectation,hji,h]
· simp
lemma expectation_pair {μ : ι → Ω → ℝ} (h : ∀ i, ∑ ω, μ i ω = 1)
{i j : ι} (hij : i ≠ j) (f g : Ω → ℝ) :
expectation (productMass μ) (fun x => f (x i) * g (x j)) =
expectation (μ i) f * expectation (μ j) g := by
classical
have he (x : ι → Ω) :
(∏ k : ι, (if k = i then f (x k) else 1) * (if k = j then g (x k) else 1)) =
f (x i) * g (x j) := by rw [Finset.prod_mul_distrib]; simp
calc
_ = expectation (productMass μ) (fun x => ∏ k,
(if k = i then f (x k) else 1) * (if k = j then g (x k) else 1)) := by
congr 1
funext x
exact (he x).symm
_ = ∏ k, expectation (μ k) (fun ω =>
(if k = i then f ω else 1) * (if k = j then g ω else 1)) := expectation_product μ
(fun k ω => (if k = i then f ω else 1) * (if k = j then g ω else 1))
_ = ∏ k, (if k = i then expectation (μ i) f else 1) *
(if k = j then expectation (μ j) g else 1) := by
apply Finset.prod_congr rfl
intro k _
by_cases hki : k = i
· subst k; simp [hij,expectation]
· by_cases hkj : k = j
· subst k; simp [hki,expectation]
· simp [hki,hkj,expectation,h]
_ = _ := by rw [Finset.prod_mul_distrib]; simp
lemma expectation_nonneg {μ f : Ω → ℝ} (hμ : ∀ ω, 0 ≤ μ ω) (hf : ∀ ω, 0 ≤ f ω) :
0 ≤ expectation μ f := Finset.sum_nonneg fun ω _ => mul_nonneg (hμ ω) (hf ω)
lemma expectation_mono {μ f g : Ω → ℝ} (hμ : ∀ ω, 0 ≤ μ ω) (hfg : ∀ ω, f ω ≤ g ω) :
expectation μ f ≤ expectation μ g :=
Finset.sum_le_sum fun ω _ => mul_le_mul_of_nonneg_left (hfg ω) (hμ ω)
lemma expectation_sum {κ : Type} (s : Finset κ) (μ : Ω → ℝ) (f : κ → Ω → ℝ) :
expectation μ (fun ω => ∑ k ∈ s, f k ω) = ∑ k ∈ s, expectation μ (f k) := by
simp only [expectation,Finset.mul_sum]
exact Finset.sum_comm
lemma probability_eq_expectation (μ : Ω → ℝ) (A : Ω → Prop) [DecidablePred A] :
probability μ A = expectation μ (fun ω => if A ω then 1 else 0) := by
classical
simp only [probability,expectation]
apply Finset.sum_congr rfl
intro ω _
split_ifs <;> simp
lemma probability_nonneg {μ : Ω → ℝ} (hμ : ∀ ω, 0 ≤ μ ω) (A : Ω → Prop) :
0 ≤ probability μ A := by
classical
exact Finset.sum_nonneg fun ω _ => by split_ifs; exact hμ ω; exact le_rfl
lemma probability_mono {μ : Ω → ℝ} (hμ : ∀ ω, 0 ≤ μ ω) {A B : Ω → Prop}
(hAB : ∀ ω, A ω → B ω) : probability μ A ≤ probability μ B := by
classical
apply Finset.sum_le_sum
intro ω _
by_cases hA : A ω
· simp [hA,hAB ω hA]
· simp only [hA,ite_false]
split_ifs; exact hμ ω; exact le_rfl
lemma probability_coordinate {μ : ι → Ω → ℝ} (h : ∀ i, ∑ ω, μ i ω = 1)
(i : ι) (A : Ω → Prop) :
probability (productMass μ) (fun x => A (x i)) = probability (μ i) A := by
classical
simp_rw [probability_eq_expectation]
exact expectation_coordinate h i (fun ω => if A ω then (1 : ℝ) else 0)
lemma probability_union_le {κ : Type} [Fintype κ] {μ : Ω → ℝ}
(hμ : ∀ ω, 0 ≤ μ ω) (A : κ → Ω → Prop) :
probability μ (fun ω => ∃ k, A k ω) ≤ ∑ k, probability μ (A k) := by
classical
simp only [probability]
rw [Finset.sum_comm]
apply Finset.sum_le_sum
intro ω _
by_cases hA : ∃ k, A k ω
· obtain ⟨k,hk⟩ := hA
rw [ite_eq_left ⟨k,hk⟩]
have hh := Finset.single_le_sum (s := (Finset.univ : Finset κ))
(f := fun k => if A k ω then μ ω else 0)
(fun k _ => by split_ifs; exact hμ ω; exact le_rfl) (Finset.mem_univ k)
simpa only [ite_eq_left hk] using hh
· simp only [ite_eq_right hA]
exact Finset.sum_nonneg (fun k _ => by split_ifs; exact hμ ω; exact le_rfl)
lemma probability_or_le {μ : Ω → ℝ} (hμ : ∀ ω, 0 ≤ μ ω) (A B : Ω → Prop) :
probability μ (fun ω => A ω ∨ B ω) ≤ probability μ A + probability μ B := by
classical
simp only [probability,← Finset.sum_add_distrib]
apply Finset.sum_le_sum
intro ω _
by_cases hA : A ω <;> by_cases hB : B ω <;> simp [hA,hB,hμ ω]
lemma markov {μ f : Ω → ℝ} (hμ : ∀ ω, 0 ≤ μ ω) (hf : ∀ ω, 0 ≤ f ω)
{a : ℝ} (ha : 0 < a) :
probability μ (fun ω => a ≤ f ω) ≤ expectation μ f / a := by
classical
apply (le_div_iff₀ ha).mpr
simp only [probability,Finset.sum_mul,expectation]
apply Finset.sum_le_sum
intro ω _
by_cases h : a ≤ f ω
· simp only [ite_eq_left h]
exact mul_le_mul_of_nonneg_left h (hμ ω)
· simp only [ite_eq_right h,zero_mul]
exact mul_nonneg (hμ ω) (hf ω)
lemma exists_positive_avoiding {μ : Ω → ℝ} (hμ : ∀ ω, 0 ≤ μ ω)
(hs : ∑ ω, μ ω = 1) {A : Ω → Prop} (hA : probability μ A < 1) :
∃ ω, 0 < μ ω ∧ ¬A ω := by
classical
by_contra hn
push Not at hn
have he : probability μ A = 1 := by
rw [← hs]
apply Finset.sum_congr rfl
intro ω _
by_cases h : 0 < μ ω
· simp only [ite_eq_left (hn ω h)]
· have hz : μ ω = 0 := le_antisymm (le_of_not_gt h) (hμ ω)
simp [hz]
linarith
end LinearListHadwiger.Sampling
namespace LinearListHadwiger.Sampling
open scoped BigOperators
open Fractional
variable {ι Ω V : Type} [Fintype ι] [Fintype Ω] [Fintype V]
[DecidableEq ι] [DecidableEq V]
lemma expectation_const {μ : Ω → ℝ} (hs : ∑ ω, μ ω = 1) (c : ℝ) :
expectation μ (fun _ => c) = c := by simp [expectation,← Finset.sum_mul,hs]
noncomputable def otherCopies (W : Ω → Finset V) (i : ι) (x : ι → Ω) : Finset V :=
(Finset.univ.erase i).biUnion fun j => W (x j)
noncomputable def privateCopy (W : Ω → Finset V) (i : ι) (x : ι → Ω) : Finset V :=
W (x i) \ otherCopies W i x
noncomputable def collision (W : Ω → Finset V) (φ : Ω → V → ℝ) (i : ι)
(x : ι → Ω) : ℝ := ∑ j ∈ Finset.univ.erase i, ∑ v,
φ (x i) v * (if v ∈ W (x j) then 1 else 0)
lemma collision_nonneg {ι Ω V : Type} [Fintype ι] [Fintype Ω] [Fintype V] [DecidableEq ι] [DecidableEq V] (W : Ω → Finset V) {φ : Ω → V → ℝ}
(hφ : ∀ ω v, 0 ≤ φ ω v) (i : ι) (x : ι → Ω) : 0 ≤ collision W φ i x := by
apply Finset.sum_nonneg
intro j _
apply Finset.sum_nonneg
intro v _
split_ifs <;> simp [hφ]
lemma expectation_collision {μ : Ω → ℝ} (hμ : ∀ ω, 0 ≤ μ ω) (hs : ∑ ω, μ ω = 1)
(W : Ω → Finset V) {φ : Ω → V → ℝ} (hφ : ∀ ω v, 0 ≤ φ ω v)
(hφsum : ∀ ω, ∑ v, φ ω v ≤ 1) {p : ℝ} (hp : 0 ≤ p)
(hmarg : ∀ v, probability μ (fun ω => v ∈ W ω) ≤ p) (i : ι) :
expectation (productMass (fun _ : ι => μ)) (collision W φ i) ≤
(Fintype.card ι - 1 : ℕ) * p := by
classical
unfold collision
rw [expectation_sum]
calc
_ ≤ ∑ _j ∈ Finset.univ.erase i, p := by
apply Finset.sum_le_sum
intro j hj
have hij : i ≠ j := Ne.symm (Finset.mem_erase.mp hj).1
rw [expectation_sum]
calc
_ = ∑ v, expectation μ (fun ω => φ ω v) * probability μ (fun ω => v ∈ W ω) := by
apply Finset.sum_congr rfl
intro v _
rw [expectation_pair (μ := fun _ : ι => μ) (f := fun ω => φ ω v)
(g := fun ω => if v ∈ W ω then 1 else 0) (fun _ => hs) hij,
probability_eq_expectation]
_ ≤ ∑ v, expectation μ (fun ω => φ ω v) * p := by
apply Finset.sum_le_sum
intro v _
exact mul_le_mul_of_nonneg_left (hmarg v) (expectation_nonneg hμ (fun ω => hφ ω v))
_ = expectation μ (fun ω => ∑ v, φ ω v) * p := by
rw [← Finset.sum_mul,expectation_sum]
_ ≤ 1 * p := by
apply mul_le_mul_of_nonneg_right _ hp
exact (expectation_mono hμ hφsum).trans_eq (expectation_const hs 1)
_ = p := one_mul p
_ = _ := by simp
lemma sum_on_eq (S : Finset V) (f : V → ℝ) :
(∑ v ∈ S, f v) = ∑ v, if v ∈ S then f v else 0 := by
classical
rw [← Finset.sum_filter]
congr 1
ext v
simp
lemma private_weight_loss {ι Ω V : Type} [Fintype ι] [Fintype Ω] [Fintype V] [DecidableEq ι] [DecidableEq V] (W : Ω → Finset V) {φ : Ω → V → ℝ}
(hφ : ∀ ω v, 0 ≤ φ ω v) (i : ι) (x : ι → Ω) :
(∑ v ∈ W (x i), φ (x i) v) ≤
(∑ v ∈ privateCopy W i x, φ (x i) v) + collision W φ i x := by
classical
rw [sum_on_eq (W (x i)) (φ (x i)),
sum_on_eq (privateCopy W i x) (φ (x i))]
unfold collision
rw [Finset.sum_comm,← Finset.sum_add_distrib]
apply Finset.sum_le_sum
intro v _
have hnn : 0 ≤ ∑ j ∈ Finset.univ.erase i,
φ (x i) v * (if v ∈ W (x j) then 1 else 0) := by
apply Finset.sum_nonneg
intro j _
split_ifs <;> simp [hφ]
by_cases hv : v ∈ W (x i)
· simp only [ite_eq_left hv]
by_cases hpr : v ∈ privateCopy W i x
· simp only [ite_eq_left hpr]
linarith
· simp only [ite_eq_right hpr,zero_add]
have hvO : v ∈ otherCopies W i x := by
simpa only [privateCopy,Finset.mem_sdiff,hv,true_and,not_not] using hpr
obtain ⟨j,hj,hvj⟩ := Finset.mem_biUnion.mp hvO
have hh := Finset.single_le_sum
(s := Finset.univ.erase i)
(f := fun j => φ (x i) v * (if v ∈ W (x j) then 1 else 0))
(fun j _ => by split_ifs <;> simp [hφ]) hj
simpa only [ite_eq_left hvj,mul_one] using hh
· simp only [ite_eq_right hv]
have hc : 0 ≤ (if v ∈ privateCopy W i x then φ (x i) v else 0) := by
split_ifs; exact hφ _ _; exact le_rfl
linarith
lemma privateCopies_disjoint {ι Ω V : Type} [Fintype ι] [Fintype Ω] [Fintype V] [DecidableEq ι] [DecidableEq V] (W : Ω → Finset V) (x : ι → Ω) {i j : ι} (hij : i ≠ j) :
Disjoint (privateCopy W i x) (privateCopy W j x) := by
classical
apply Finset.disjoint_left.mpr
intro v hvi hvj
obtain ⟨hi,hni⟩ := Finset.mem_sdiff.mp hvi
obtain ⟨hj,hnj⟩ := Finset.mem_sdiff.mp hvj
apply hni
exact Finset.mem_biUnion.mpr ⟨j,Finset.mem_erase.mpr ⟨hij.symm,Finset.mem_univ _⟩,hj⟩
theorem private_fractional_failure (G : SimpleGraph V) {μ : Ω → ℝ}
(hμ : ∀ ω, 0 ≤ μ ω) (hs : ∑ ω, μ ω = 1) (W : Ω → Finset V)
{r p δ : ℝ} (hr : 0 < r) (hp : 0 ≤ p)
(hmarg : ∀ v, probability μ (fun ω => v ∈ W ω) ≤ p)
(hhigh : probability μ (fun ω => number (G.induce (W ω : Set V)) ≤ r/5) ≤ δ) :
probability (productMass (fun _ : ι => μ))
(fun x => ∃ i, number (G.induce (privateCopy W i x : Set V)) ≤ r/8) ≤
(Fintype.card ι : ℝ) * δ + 4 * Fintype.card ι * (Fintype.card ι - 1 : ℕ) * p := by
classical
choose w hw hz heq using (fun ω => induced_duality G (W ω))
let a : Ω → ℝ := fun ω => number (G.induce (W ω : Set V))
let φ : Ω → V → ℝ := fun ω v => if 0 < a ω then w ω v / a ω else 0
have hφ : ∀ ω v, 0 ≤ φ ω v := by
intro ω v
dsimp [φ]
split_ifs with h
· exact div_nonneg ((hw ω).1 v) h.le
· exact le_rfl
have hwtotal (ω : Ω) : (∑ v, w ω v) = a ω := by
change (∑ v, w ω v) = number (G.induce (W ω : Set V))
rw [← heq ω]
symm
apply Finset.sum_subset (Finset.subset_univ _)
intro v _ hv
exact hz ω v hv
have hφsum : ∀ ω, ∑ v, φ ω v ≤ 1 := by
intro ω
by_cases ha : 0 < a ω
· simp only [φ,ite_eq_left ha,← Finset.sum_div,hwtotal,div_self (ne_of_gt ha),le_refl]
· simp [φ,ha]
have hφW (ω : Ω) (ha : 0 < a ω) : (∑ v ∈ W ω, φ ω v) = 1 := by
simp only [φ,ite_eq_left ha,← Finset.sum_div,heq]
change a ω / a ω = 1
exact div_self (ne_of_gt ha)
let bad : ι → (ι → Ω) → Prop := fun i x =>
a (x i) ≤ r/5 ∨ (1/4 : ℝ) ≤ collision W φ i x
have hbad_sub (x : ι → Ω) :
(∃ i, number (G.induce (privateCopy W i x : Set V)) ≤ r/8) → ∃ i, bad i x := by
rintro ⟨i,hi⟩
refine ⟨i,?_⟩
by_contra hn
have hh : r/5 < a (x i) := lt_of_not_ge (fun h => hn (Or.inl h))
have hc : collision W φ i x < 1/4 := lt_of_not_ge (fun h => hn (Or.inr h))
have ha : 0 < a (x i) := by linarith
have hret := private_weight_loss W hφ i x
rw [hφW (x i) ha] at hret
have hweight : (∑ v ∈ privateCopy W i x, w (x i) v) ≤ r/8 :=
((hw (x i)).restrict_sum _).trans hi
have hsum : (∑ v ∈ privateCopy W i x, φ (x i) v) =
(∑ v ∈ privateCopy W i x, w (x i) v) / a (x i) := by
simp only [φ,ite_eq_left ha,Finset.sum_div]
rw [hsum] at hret
have hpos : (3/4 : ℝ) <
(∑ v ∈ privateCopy W i x, w (x i) v) / a (x i) := by linarith
have hprod := (lt_div_iff₀ ha).mp hpos
nlinarith
have hbad (i : ι) : probability (productMass (fun _ : ι => μ)) (bad i) ≤
δ + 4 * (Fintype.card ι - 1 : ℕ) * p := by
have hor := probability_or_le (productMass_nonneg (fun _ => hμ))
(fun x : ι → Ω => a (x i) ≤ r/5) (fun x => (1/4 : ℝ) ≤ collision W φ i x)
have hfirst : probability (productMass (fun _ : ι => μ)) (fun x => a (x i) ≤ r/5) ≤ δ := by
rw [probability_coordinate (μ := fun _ : ι => μ) (fun _ => hs) i
(fun ω => a ω ≤ r/5)]
exact hhigh
have hmk := markov (productMass_nonneg (fun _ : ι => hμ)) (collision_nonneg W hφ i)
(a := (1/4 : ℝ)) (by norm_num)
have hexp := expectation_collision hμ hs W hφ hφsum hp hmarg i
change probability (productMass (fun _ : ι => μ))
(fun x => a (x i) ≤ r/5 ∨ (1/4 : ℝ) ≤ collision W φ i x) ≤ _
linarith
calc
_ ≤ probability (productMass (fun _ : ι => μ)) (fun x => ∃ i, bad i x) :=
probability_mono (productMass_nonneg (fun _ => hμ)) hbad_sub
_ ≤ ∑ i, probability (productMass (fun _ : ι => μ)) (bad i) :=
probability_union_le (productMass_nonneg (fun _ => hμ)) _
_ ≤ ∑ _i : ι, (δ + 4 * (Fintype.card ι - 1 : ℕ) * p) :=
Finset.sum_le_sum (fun i _ => hbad i)
_ = _ := by simp; ring
end LinearListHadwiger.Sampling
end OAI