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import Mathlib
namespace OAI
open Set MeasureTheory
namespace SparseClusters
variable {V : Type*} [Fintype V] [DecidableEq V]
noncomputable def component (G : SimpleGraph V) (x : V) : Finset V := by
classical
exact Finset.univ.filter (G.Reachable x)
@[simp] lemma mem_component (G : SimpleGraph V) (x y : V) :
y ∈ component G x ↔ G.Reachable x y := by simp [component]
omit [Fintype V] in
lemma walk_boundary {G : SimpleGraph V} {x y : V} (p : G.Walk x y)
(S : Finset V) (hx : x ∈ S) (hy : y ∉ S) :
∃ a ∈ S, ∃ b, b ∉ S ∧ G.Adj a b ∧ b ∈ p.support := by
induction p with
| nil => exact (hy hx).elim
| @cons x z y hxz p ih =>
by_cases hz : z ∈ S
· obtain ⟨a, ha, b, hb, hab, hbp⟩ := ih hz hy
exact ⟨a, ha, b, hb, hab, by simp [hbp]⟩
· exact ⟨x, hx, z, hz, hxz, by simp⟩
lemma walk_mem_component {G : SimpleGraph V} {x y : V} (p : G.Walk x y)
{z : V} (hz : z ∈ p.support) : z ∈ component G x := by
exact (mem_component _ _ _).mpr (p.takeUntil z hz).reachable
lemma closed_walk_witness (G : SimpleGraph V) (x : V) (m : ℕ)
(hm : m + 1 ≤ (component G x).card) :
∃ p : G.Walk x x, p.length = 2*m ∧ p.support.toFinset.card = m+1 := by
classical
induction m with
| zero => exact ⟨.nil, rfl, by simp⟩
| succ m ih =>
obtain ⟨p, hp, hc⟩ := ih (by omega)
have hnot : ¬ component G x ⊆ p.support.toFinset := by
intro h
have hh := Finset.card_le_card h
omega
obtain ⟨y, hy, hyp⟩ := Finset.not_subset.mp hnot
obtain ⟨w⟩ := (mem_component G x y).mp hy
obtain ⟨a, ha, b, hb, hab, hbw⟩ := walk_boundary w p.support.toFinset
(by simp) hyp
have hap : a ∈ p.support := List.mem_toFinset.mp ha
let q := p.takeUntil a hap
let r := p.dropUntil a hap
let p' := q.append (.cons hab (.cons hab.symm r))
have hpr : q.append r = p := p.take_spec hap
have hlen : q.length + r.length = p.length := by
simpa only [SimpleGraph.Walk.length_append] using congrArg SimpleGraph.Walk.length hpr
have hsup : p'.support.toFinset = insert b p.support.toFinset := by
ext z
have hpz : z ∈ p.support ↔ z ∈ q.support ∨ z ∈ r.support := by
rw [← hpr, SimpleGraph.Walk.mem_support_append_iff]
simp only [List.mem_toFinset, Finset.mem_insert, p', SimpleGraph.Walk.mem_support_append_iff,
SimpleGraph.Walk.support_cons, List.mem_cons, hpz]
have ha : a ∈ q.support := q.end_mem_support
grind
refine ⟨p', ?_, ?_⟩
· simp only [p', SimpleGraph.Walk.length_append, SimpleGraph.Walk.length_cons]
omega
· rw [hsup, Finset.card_insert_of_notMem hb, hc]
lemma card_walks_le (G : SimpleGraph V) [DecidableRel G.Adj] (D : ℕ)
(hD : ∀ x, (Finset.univ.filter (G.Adj x)).card ≤ D) (n : ℕ) (x y : V) :
(G.finsetWalkLength n x y).card ≤ D ^ n := by
classical
induction n generalizing x y with
| zero =>
by_cases h : x = y
· subst y; simp [SimpleGraph.finsetWalkLength]
· simp [SimpleGraph.finsetWalkLength, h]
| succ n ih =>
rw [SimpleGraph.finsetWalkLength]
calc
_ ≤ ∑ z : G.neighborSet x, ((G.finsetWalkLength n z y).map
⟨fun p => SimpleGraph.Walk.cons z.property p, fun p q h => by cases h; rfl⟩).card :=
Finset.card_biUnion_le
_ ≤ ∑ _ : G.neighborSet x, D ^ n := by
apply Finset.sum_le_sum; intro z _
simpa only [Finset.card_map] using ih z y
_ = (Finset.univ.filter (G.Adj x)).card * D ^ n := by
simp only [Finset.sum_const, nsmul_eq_mul]
congr 1
simp [Fintype.card_subtype]
_ ≤ D ^ (n+1) := by rw [pow_succ]; exact Nat.mul_le_mul_right _ (hD x) |>.trans_eq (Nat.mul_comm _ _)
end SparseClusters
namespace SparseClusters
variable {V : Type*} [Fintype V] [DecidableEq V]
omit [Fintype V] [DecidableEq V] in
lemma walk_all_bad {G : SimpleGraph V} (bad : Set V)
(hb : ∀ x y, G.Adj x y → x ∈ bad ∧ y ∈ bad) {x y : V} (p : G.Walk x y)
(hx : x ∈ bad) : ∀ z ∈ p.support, z ∈ bad := by
induction p with
| nil => simpa using hx
| @cons x w y hxw p ih =>
intro z hz
rcases List.mem_cons.mp hz with rfl | hz
· exact hx
· exact ih (hb x w hxw).2 z hz
omit [Fintype V] [DecidableEq V] in
lemma walk_start_bad {G : SimpleGraph V} (bad : Set V)
(hb : ∀ x y, G.Adj x y → x ∈ bad ∧ y ∈ bad) {x y : V} (p : G.Walk x y)
(hp : 0 < p.length) : x ∈ bad := by
cases p with
| nil => simp at hp
| cons h p => exact (hb _ _ h).1
lemma sparse_component_tail {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω)
(G : SimpleGraph V) [DecidableRel G.Adj] (D : ℕ)
(hD : ∀ x, (Finset.univ.filter (G.Adj x)).card ≤ D)
(H : Ω → SimpleGraph V) (bad : Ω → Set V) (hHG : ∀ ω, H ω ≤ G)
(hbad : ∀ ω x y, (H ω).Adj x y → x ∈ bad ω ∧ y ∈ bad ω)
(ρ : ENNReal) (hρ : ρ ≤ 1)
(hsparse : ∀ S : Finset V, μ {ω | ∀ x ∈ S, x ∈ bad ω} ≤ ρ ^ S.card)
(x : V) (m : ℕ) (hm : 1 ≤ m) :
μ {ω | m+1 ≤ (component (H ω) x).card} ≤ ((D : ENNReal)^2 * ρ)^m := by
classical
let W := {p : G.Walk x x // p.length = 2*m}
let E (p : W) : Set Ω := if m+1 ≤ p.val.support.toFinset.card then
{ω | ∀ z ∈ p.val.support.toFinset, z ∈ bad ω} else ∅
have hsub : {ω | m+1 ≤ (component (H ω) x).card} ⊆ ⋃ p : W, E p := by
intro ω hω
obtain ⟨p, hplen, hpcard⟩ := closed_walk_witness (H ω) x m hω
let q : W := ⟨p.mapLe (hHG ω), by simpa using hplen⟩
apply Set.mem_iUnion.mpr
refine ⟨q, ?_⟩
have hqc : q.val.support.toFinset.card = m+1 := by
simpa only [q, SimpleGraph.Walk.support_mapLe_eq_support] using hpcard
simp only [E, ite_eq_left hqc.ge, Set.mem_ofPred_eq]
intro z hz
have hz' : z ∈ p.support := by simpa only [q, SimpleGraph.Walk.support_mapLe_eq_support, List.mem_toFinset] using hz
exact walk_all_bad (bad ω) (hbad ω) p
(walk_start_bad (bad ω) (hbad ω) p (by omega)) z hz'
have hEp (p : W) : μ (E p) ≤ ρ ^ m := by
dsimp [E]
split_ifs with hp
· exact (hsparse p.val.support.toFinset).trans (pow_le_pow_of_le_one bot_le hρ (by omega))
· simp
calc
_ ≤ μ (⋃ p : W, E p) := measure_mono hsub
_ ≤ ∑ p : W, μ (E p) := measure_iUnion_fintype_le μ E
_ ≤ ∑ _ : W, ρ ^ m := Finset.sum_le_sum fun p _ => hEp p
_ = (Fintype.card W : ENNReal) * ρ ^ m := by simp
_ ≤ ((D ^ (2*m) : ℕ) : ENNReal) * ρ ^ m := by
gcongr
change Fintype.card {p : G.Walk x x | p.length = 2*m} ≤ _
rw [SimpleGraph.card_set_walk_length_eq]
exact card_walks_le G D hD (2*m) x x
_ = _ := by rw [Nat.cast_pow, pow_mul, mul_pow]
omit [DecidableEq V] in
lemma card_le_fiber_mul_image {W : Type*} [DecidableEq W] (φ : V → W) (B : ℕ)
(hB : ∀ w, (Finset.univ.filter fun x => φ x = w).card ≤ B) (S : Finset V) :
S.card ≤ (S.image φ).card * B := by
by_contra h
obtain ⟨w, hw, hcard⟩ := Finset.exists_lt_card_fiber_of_mul_lt_card_of_maps_to
(fun x hx => Finset.mem_image.mpr ⟨x, hx, rfl⟩) (Nat.lt_of_not_ge h)
have hsub : (S.filter fun x => φ x = w) ⊆ (Finset.univ.filter fun x => φ x = w) :=
Finset.filter_subset_filter _ (Finset.subset_univ _)
exact (not_lt_of_ge ((Finset.card_le_card hsub).trans (hB w))) hcard
lemma sparse_box_component_tail {Ω W : Type*} [MeasurableSpace Ω] [DecidableEq W]
(μ : Measure Ω) (G : SimpleGraph V) [DecidableRel G.Adj] (D B : ℕ)
(hD : ∀ x, (Finset.univ.filter (G.Adj x)).card ≤ D) (hBpos : 0 < B)
(φ : V → W) (hB : ∀ w, (Finset.univ.filter fun x => φ x = w).card ≤ B)
(H : Ω → SimpleGraph V) (bad : Ω → Set W) (hHG : ∀ ω, H ω ≤ G)
(hbad : ∀ ω x y, (H ω).Adj x y → φ x ∈ bad ω ∧ φ y ∈ bad ω)
(ρ : ENNReal) (hρ : ρ ≤ 1)
(hsparse : ∀ S : Finset W, μ {ω | ∀ w ∈ S, w ∈ bad ω} ≤ ρ ^ S.card)
(x : V) (m : ℕ) (hm : 1 ≤ m) :
μ {ω | B*m+1 ≤ (component (H ω) x).card} ≤ ((D : ENNReal)^(2*B) * ρ)^m := by
classical
let Paths := {p : G.Walk x x // p.length = 2*(B*m)}
let E (p : Paths) : Set Ω := if B*m+1 ≤ p.val.support.toFinset.card then
{ω | ∀ w ∈ p.val.support.toFinset.image φ, w ∈ bad ω} else ∅
have hsub : {ω | B*m+1 ≤ (component (H ω) x).card} ⊆ ⋃ p : Paths, E p := by
intro ω hω
obtain ⟨p, hplen, hpcard⟩ := closed_walk_witness (H ω) x (B*m) hω
let q : Paths := ⟨p.mapLe (hHG ω), by simpa using hplen⟩
apply Set.mem_iUnion.mpr
refine ⟨q, ?_⟩
have hqc : q.val.support.toFinset.card = B*m+1 := by
simpa only [q, SimpleGraph.Walk.support_mapLe_eq_support] using hpcard
simp only [E, ite_eq_left hqc.ge]
intro w hw
obtain ⟨z, hz, rfl⟩ := Finset.mem_image.mp hw
have hz' : z ∈ p.support := by
simpa only [q, SimpleGraph.Walk.support_mapLe_eq_support, List.mem_toFinset] using hz
exact walk_all_bad (φ ⁻¹' bad ω) (hbad ω) p
(walk_start_bad (φ ⁻¹' bad ω) (hbad ω) p (by nlinarith)) z hz'
have hEp (p : Paths) : μ (E p) ≤ ρ ^ m := by
dsimp [E]
split_ifs with hp
· have hfib := card_le_fiber_mul_image φ B hB p.val.support.toFinset
have hc : m ≤ (p.val.support.toFinset.image φ).card := by nlinarith
exact (hsparse _).trans (pow_le_pow_of_le_one bot_le hρ hc)
· simp
calc
_ ≤ μ (⋃ p : Paths, E p) := measure_mono hsub
_ ≤ ∑ p : Paths, μ (E p) := measure_iUnion_fintype_le μ E
_ ≤ ∑ _ : Paths, ρ ^ m := Finset.sum_le_sum fun p _ => hEp p
_ = (Fintype.card Paths : ENNReal) * ρ ^ m := by simp
_ ≤ ((D ^ (2*(B*m)) : ℕ) : ENNReal) * ρ ^ m := by
gcongr
change Fintype.card {p : G.Walk x x | p.length = 2*(B*m)} ≤ _
rw [SimpleGraph.card_set_walk_length_eq]
exact card_walks_le G D hD (2*(B*m)) x x
_ = _ := by rw [Nat.cast_pow, ← mul_assoc, pow_mul, mul_pow]
end SparseClusters
namespace SparseClusters
lemma measurable_graph_statistic {Ω V X : Type*} [MeasurableSpace Ω] [Fintype V]
[MeasurableSpace X] (H : Ω → SimpleGraph V)
(hH : ∀ x y, MeasurableSet {ω | (H ω).Adj x y}) (F : SimpleGraph V → X) :
Measurable (fun ω => F (H ω)) := by
classical
have hfib (J : SimpleGraph V) : MeasurableSet {ω | H ω = J} := by
have he : {ω | H ω = J} = {ω | ∀ x y, (H ω).Adj x y ↔ J.Adj x y} := by
ext ω
exact ⟨fun h x y => by rw [h], fun h => SimpleGraph.ext (funext fun x => funext fun y => propext (h x y))⟩
rw [he]
simp_rw [Set.ofPred_forall]
apply MeasurableSet.iInter; intro x
apply MeasurableSet.iInter; intro y
by_cases h : J.Adj x y
· simpa only [h, iff_true] using hH x y
· simpa only [h, iff_false, Set.compl_ofPred] using (hH x y).compl
intro S hS
have he : (fun ω => F (H ω)) ⁻¹' S = ⋃ J : SimpleGraph V,
if F J ∈ S then {ω | H ω = J} else ∅ := by
ext ω
simp only [Set.mem_preimage, Set.mem_iUnion]
constructor
· intro h; exact ⟨H ω, by simp [h]⟩
· rintro ⟨J, h⟩
split_ifs at h with hh
· have h' : H ω = J := h
simpa only [h'] using hh
· exact False.elim h
rw [he]
apply MeasurableSet.iUnion; intro J
split_ifs with hh
· exact hfib J
· exact MeasurableSet.empty
lemma summable_box_moment (B k : ℕ) :
Summable (fun m : ℕ => ((B : ℝ) * (m+1))^k * (1/2 : ℝ)^m) := by
have hs := summable_pow_mul_geometric_of_norm_lt_one (R := ℝ) k
(show ‖(1/2 : ℝ)‖ < 1 by norm_num)
have hs' := ((summable_nat_add_iff 1).mpr hs).mul_left ((B : ℝ)^k * 2)
apply hs'.congr
intro m
simp only [Nat.cast_add, Nat.cast_one, pow_succ, mul_pow]
ring
noncomputable def boxMoment (B k : ℕ) : ℝ :=
∑' m : ℕ, ((B : ℝ) * (m+1))^k * (1/2 : ℝ)^m
lemma boxMoment_nonneg (B k : ℕ) : 0 ≤ boxMoment B k :=
tsum_nonneg (fun m => by positivity)
lemma nat_moment_of_geometric_tail {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω)
[IsProbabilityMeasure μ] (H : Ω → ℕ) (hH : Measurable H) (hpos : ∀ ω, 0 < H ω)
(B : ℕ) (hB : 0 < B)
(htail : ∀ m : ℕ, 1 ≤ m → μ {ω | B*m+1 ≤ H ω} ≤ (1/2 : ENNReal)^m)
(k : ℕ) : ∫⁻ ω, (H ω : ENNReal)^k ∂μ ≤ ENNReal.ofReal (boxMoment B k) := by
let F := fun ω => (H ω - 1) / B
have hF : Measurable F := (measurable_of_countable (fun n : ℕ => (n-1)/B)).comp hH
have hbound (ω) : H ω ≤ B * (F ω + 1) := by
have hh := Nat.mod_lt (H ω - 1) hB
have he := Nat.mod_add_div (H ω - 1) B
dsimp [F]
rw [Nat.mul_add, Nat.mul_one]
have hp := hpos ω
omega
have hprob (m : ℕ) : μ (F ⁻¹' {m}) ≤ (1/2 : ENNReal)^m := by
by_cases hm : m = 0
· subst m; simpa using (prob_le_one (μ := μ) (s := F ⁻¹' {0}))
· apply le_trans (measure_mono (show F ⁻¹' {m} ⊆ {ω | B*m+1 ≤ H ω} from ?_))
(htail m (Nat.one_le_iff_ne_zero.mpr hm))
intro ω hω
change B*m+1 ≤ H ω
have hd : (H ω - 1) / B = m := hω
have hh := Nat.div_mul_le_self (H ω - 1) B
have hp := hpos ω
rw [hd, Nat.mul_comm] at hh
omega
calc
_ ≤ ∫⁻ ω, (((B : ENNReal) * (F ω+1))^k) ∂μ := by
apply lintegral_mono; intro ω
exact pow_le_pow_left' (by exact_mod_cast hbound ω) k
_ = ∫⁻ m : ℕ, (((B : ENNReal) * (m+1))^k) ∂(Measure.map F μ) :=
(lintegral_map (μ := μ) (f := fun m : ℕ => ((B : ENNReal) * (m+1))^k) (measurable_of_countable _) hF).symm
_ = ∑' m : ℕ, (((B : ENNReal) * (m+1))^k) * μ (F ⁻¹' {m}) := by
rw [lintegral_countable']
simp only [Measure.map_apply hF (measurableSet_singleton _)]
_ ≤ ∑' m : ℕ, (((B : ENNReal) * (m+1))^k) * (1/2 : ENNReal)^m := by
apply ENNReal.tsum_le_tsum; intro m
exact mul_le_mul_right (hprob m) _
_ = ENNReal.ofReal (boxMoment B k) := by
rw [boxMoment, ENNReal.ofReal_tsum_of_nonneg (fun m => by positivity) (summable_box_moment B k)]
congr 1; ext m
rw [ENNReal.ofReal_mul (by positivity), ENNReal.ofReal_pow (by positivity),
ENNReal.ofReal_mul (by positivity), ENNReal.ofReal_pow (by positivity)]
simp [ENNReal.ofReal_add (by positivity : (0 : ℝ) ≤ m) (by norm_num : (0 : ℝ) ≤ 1)]
lemma nat_pow_measurable {Ω : Type*} [MeasurableSpace Ω] (H : Ω → ℕ)
(hH : Measurable H) (k : ℕ) : Measurable (fun ω => (H ω : ℝ)^k) :=
(measurable_of_countable (fun n : ℕ => (n : ℝ)^k)).comp hH
lemma nat_pow_integrable_of_bound {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω)
[IsFiniteMeasure μ] (H : Ω → ℕ) (hH : Measurable H) (N : ℕ) (hN : ∀ ω, H ω ≤ N)
(k : ℕ) : Integrable (fun ω => (H ω : ℝ)^k) μ := by
apply (integrable_const ((N : ℝ)^k)).mono' (nat_pow_measurable H hH k).aestronglyMeasurable
filter_upwards [] with ω
rw [Real.norm_eq_abs, abs_of_nonneg (by positivity)]
exact pow_le_pow_left₀ (by positivity) (by exact_mod_cast hN ω) k
lemma nat_real_moment_of_geometric_tail {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω)
[IsProbabilityMeasure μ] (H : Ω → ℕ) (hH : Measurable H) (hpos : ∀ ω, 0 < H ω)
(B : ℕ) (hB : 0 < B)
(htail : ∀ m : ℕ, 1 ≤ m → μ {ω | B*m+1 ≤ H ω} ≤ (1/2 : ENNReal)^m)
(k : ℕ) : (∫ ω, (H ω : ℝ)^k ∂μ) ≤ boxMoment B k := by
have hh := nat_moment_of_geometric_tail μ H hH hpos B hB htail k
rw [integral_eq_lintegral_of_nonneg_ae (Filter.Eventually.of_forall fun ω => by positivity)
(nat_pow_measurable H hH k).aestronglyMeasurable]
have he (ω) : ENNReal.ofReal ((H ω : ℝ)^k) = (H ω : ENNReal)^k := by
rw [ENNReal.ofReal_pow (by positivity), ENNReal.ofReal_natCast]
simp_rw [he]
exact (ENNReal.toReal_mono ENNReal.ofReal_ne_top hh).trans_eq
(ENNReal.toReal_ofReal (boxMoment_nonneg B k))
lemma maximum_nat_moment_bound {Ω V : Type*} [MeasurableSpace Ω] [Fintype V]
(μ : Measure Ω) [IsProbabilityMeasure μ] (H : V → Ω → ℕ)
(hH : ∀ x, Measurable (H x)) (N : ℕ) (hN : ∀ x ω, H x ω ≤ N)
(k : ℕ) (_hk : 0 < k) (C R : ℝ) (hR : 0 < R)
(hmoment : ∀ x, (∫ ω, (H x ω : ℝ)^k ∂μ) ≤ C) :
μ.real {ω | ∃ x, R < (H x ω : ℝ)} ≤ (Fintype.card V : ℝ) * C / R^k := by
have hRp : 0 < R^k := pow_pos hR k
have hsingle (x : V) : μ.real {ω | R < (H x ω : ℝ)} ≤ C / R^k := by
apply (le_div_iff₀ hRp).mpr
have hs : {ω | R < (H x ω : ℝ)} ⊆ {ω | R^k ≤ (H x ω : ℝ)^k} := by
intro ω hω
exact pow_le_pow_left₀ hR.le hω.le k
have hm := measureReal_mono (μ := μ) hs
have hh := mul_meas_ge_le_integral_of_nonneg
(μ := μ) (f := fun ω => (H x ω : ℝ)^k)
(Filter.Eventually.of_forall fun ω => by positivity)
(nat_pow_integrable_of_bound μ (H x) (hH x) N (hN x) k) (R^k)
nlinarith [hmoment x]
rw [show {ω | ∃ x, R < (H x ω : ℝ)} = ⋃ x, {ω | R < (H x ω : ℝ)} by ext; simp]
calc
_ ≤ ∑ x : V, μ.real {ω | R < (H x ω : ℝ)} := measureReal_iUnion_fintype_le _
_ ≤ ∑ _ : V, C / R^k := Finset.sum_le_sum fun x _ => hsingle x
_ = _ := by simp [mul_div_assoc]
variable {V W : Type*} [Fintype V] [DecidableEq V] [Fintype W] [DecidableEq W]
omit [Fintype V] [DecidableEq V] [Fintype W] [DecidableEq W] in
lemma reachable_of_edge_reachable (H : SimpleGraph V) (K : SimpleGraph W) (φ : V → W)
(he : ∀ x y, H.Adj x y → K.Reachable (φ x) (φ y)) {x y : V}
(hxy : H.Reachable x y) : K.Reachable (φ x) (φ y) := by
obtain ⟨p⟩ := hxy
induction p with
| nil => exact SimpleGraph.Reachable.refl _
| cons h p ih => exact (he _ _ h).trans ih
lemma component_card_le_cover (H : SimpleGraph V) (K : SimpleGraph W)
(φ : V → W) (B : ℕ)
(hB : ∀ w, (Finset.univ.filter fun x => φ x = w).card ≤ B)
(he : ∀ x y, H.Adj x y → K.Reachable (φ x) (φ y)) (x : V) :
(component H x).card ≤ B * (component K (φ x)).card := by
have hsub : (component H x).image φ ⊆ component K (φ x) := by
intro w hw
obtain ⟨y, hy, rfl⟩ := Finset.mem_image.mp hw
exact (mem_component _ _ _).mpr
(reachable_of_edge_reachable H K φ he ((mem_component _ _ _).mp hy))
exact (card_le_fiber_mul_image φ B hB _).trans
((Nat.mul_le_mul_right B (Finset.card_le_card hsub)).trans_eq (Nat.mul_comm _ _))
noncomputable def badBoxGraph (K : SimpleGraph W) (bad : Set W) : SimpleGraph W where
Adj x y := K.Adj x y ∧ x ∈ bad ∧ y ∈ bad
symm := ⟨by intro x y h; exact ⟨h.1.symm, h.2.2, h.2.1⟩⟩
loopless := ⟨fun x h => K.irrefl h.1⟩
lemma sparse_cover_component_tail {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω)
(K : SimpleGraph W) [DecidableRel K.Adj] (Db B : ℕ)
(hDb : ∀ w, (Finset.univ.filter (K.Adj w)).card ≤ Db)
(φ : V → W) (hB : ∀ w, (Finset.univ.filter fun x => φ x = w).card ≤ B)
(H : Ω → SimpleGraph V) (bad : Ω → Set W)
(hcover : ∀ ω x y, (H ω).Adj x y → φ x = φ y ∨ K.Adj (φ x) (φ y))
(hbad : ∀ ω x y, (H ω).Adj x y → φ x ∈ bad ω ∧ φ y ∈ bad ω)
(ρ : ENNReal) (hρ : ρ ≤ 1)
(hsparse : ∀ S : Finset W, μ {ω | ∀ w ∈ S, w ∈ bad ω} ≤ ρ ^ S.card)
(x : V) (m : ℕ) (hm : 1 ≤ m) :
μ {ω | B*m+1 ≤ (component (H ω) x).card} ≤ ((Db : ENNReal)^2 * ρ)^m := by
have he (ω x y) (hxy : (H ω).Adj x y) :
(badBoxGraph K (bad ω)).Reachable (φ x) (φ y) := by
rcases hcover ω x y hxy with hh | hh
· simpa only [hh] using (SimpleGraph.Reachable.refl (φ y) : (badBoxGraph K (bad ω)).Reachable (φ y) (φ y))
· exact SimpleGraph.Adj.reachable ⟨hh, hbad ω x y hxy⟩
have hsub : {ω | B*m+1 ≤ (component (H ω) x).card} ⊆
{ω | m+1 ≤ (component (badBoxGraph K (bad ω)) (φ x)).card} := by
intro ω hω
have hc := component_card_le_cover (H ω) (badBoxGraph K (bad ω)) φ B hB (he ω) x
change B*m+1 ≤ (component (H ω) x).card at hω
change m+1 ≤ _
by_contra hh
have hle : (component (badBoxGraph K (bad ω)) (φ x)).card ≤ m := by omega
have hmul := Nat.mul_le_mul_left B hle
omega
apply (measure_mono hsub).trans
exact sparse_component_tail μ K Db hDb (fun ω => badBoxGraph K (bad ω)) bad
(fun ω x y h => h.1) (fun ω x y h => h.2) ρ hρ hsparse (φ x) m hm
end SparseClusters
end OAI