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import OAI.Combinatorics.ListHadwiger.StageSampling
namespace OAI
namespace LinearListHadwiger.SmallList
open Finset Filter
noncomputable def rate (t : ℝ) (j : ℕ) : ℝ := 4*t/(2:ℝ)^j
noncomputable def bins (t : ℝ) (j : ℕ) : ℕ :=
⌈192*rate t j*Real.log (2*max 1 (t/rate t j))⌉₊
lemma rate_pos {t : ℝ} (ht : 0 < t) (j : ℕ) : 0 < rate t j := by
unfold rate
positivity
lemma rate_zero (t : ℝ) : rate t 0=4*t := by simp [rate]
lemma rate_succ (t : ℝ) (j : ℕ) : rate t (j+1)=rate t j/2 := by
simp only [rate,pow_succ]
ring
lemma rate_le {t : ℝ} (ht : 0 ≤ t) (j : ℕ) : rate t j ≤ 4*t := by
exact div_le_self (by positivity) (one_le_pow₀ (by norm_num))
lemma geometric_budget (m : ℕ) :
∑ j ∈ range m, ((j:ℝ)+1)/(2:ℝ)^j ≤ 4 := by
have he : (∑ j ∈ range m, ((j:ℝ)+1)/(2:ℝ)^j)+2*((m:ℝ)+2)/(2:ℝ)^m=4 := by
induction m with
| zero => norm_num
| succ m ih =>
rw [sum_range_succ]
push_cast
rw [pow_succ]
calc
_ = (∑ j ∈ range m, ((j:ℝ)+1)/(2:ℝ)^j)+2*((m:ℝ)+2)/(2:ℝ)^m := by ring
_ = 4 := ih
have : 0 ≤ 2*((m:ℝ)+2)/(2:ℝ)^m := by positivity
linarith
lemma bins_upper {t : ℝ} (ht : 0 < t) (j : ℕ) :
(bins t j : ℝ) ≤ 768*t*(((j:ℝ)+1)/(2:ℝ)^j)+1 := by
have hp : 1 ≤ (2:ℝ)^j := one_le_pow₀ (by norm_num)
have he : t/rate t j=(2:ℝ)^j/4 := by unfold rate; field_simp
have hy : max 1 (t/rate t j) ≤ (2:ℝ)^j := by rw [he]; exact max_le hp (by linarith)
have hy0 : 0 < 2*max 1 (t/rate t j) := by have := le_max_left 1 (t/rate t j); linarith
have hl : Real.log (2*max 1 (t/rate t j)) ≤ (j:ℝ)+1 := by
calc
_ ≤ Real.log ((2:ℝ)^(j+1)) := Real.log_le_log hy0 (by rw [pow_succ]; nlinarith)
_ = ((j:ℝ)+1)*Real.log 2 := by rw [Real.log_pow]; push_cast; rfl
_ ≤ _ := by nlinarith [Real.log_two_lt_d9]
have hnonneg : 0 ≤ 192*rate t j*Real.log (2*max 1 (t/rate t j)) := by
have hh : 1 ≤ 2*max 1 (t/rate t j) := by have := le_max_left 1 (t/rate t j); linarith
exact mul_nonneg (by positivity [rate_pos ht j]) (Real.log_nonneg hh)
have hb := (Nat.ceil_lt_add_one hnonneg).le
change (bins t j:ℝ) ≤ _ at hb
calc
_ ≤ 192*rate t j*Real.log (2*max 1 (t/rate t j))+1 := hb
_ ≤ 192*rate t j*((j:ℝ)+1)+1 := by gcongr; have := rate_pos ht j; positivity
_ = _ := by unfold rate; ring
lemma bins_lower {t : ℝ} (ht : 1 < t) (j : ℕ)
(hr : t/Real.log t ≤ rate t j) : t/Real.log t ≤ (bins t j:ℝ) := by
have ht0 : 0 < t := by linarith
have hl0 : 0 < Real.log t := Real.log_pos ht
have hlog : Real.log 2 ≤ Real.log (2*max 1 (t/rate t j)) :=
Real.log_le_log (by norm_num) (by have := le_max_left 1 (t/rate t j); linarith)
have hlg : 1 ≤ 192*Real.log (2*max 1 (t/rate t j)) := by linarith [Real.log_two_gt_d9]
calc
_ ≤ rate t j := hr
_ ≤ 192*rate t j*Real.log (2*max 1 (t/rate t j)) := by nlinarith [rate_pos ht0 j]
_ ≤ (bins t j:ℝ) := Nat.le_ceil _
lemma power_two_lower (m : ℕ) : (m:ℝ)+1 ≤ (2:ℝ)^m := by
induction m with
| zero => norm_num
| succ m ih => rw [pow_succ]; push_cast; nlinarith
theorem schedule_cutoff : ∀ᶠ t : ℝ in atTop,
1 < t ∧ 1 ≤ Real.log t ∧ 4*Real.log t ≤ t ∧
t^(7/10:ℝ) ≤ t/Real.log t := by
have hl := (Real.isLittleO_log_id_atTop).bound (show (0:ℝ)<1/4 by norm_num)
have hp := (isLittleO_log_rpow_rpow_atTop (1:ℝ)
(show (0:ℝ)<3/10 by norm_num)).bound (show (0:ℝ)<1 by norm_num)
have hg := Real.tendsto_log_atTop.eventually (eventually_ge_atTop (1:ℝ))
filter_upwards [eventually_gt_atTop (1:ℝ),hl,hp,hg] with t ht hl hp hg
have ht0 : 0<t := by linarith
have hg0 : 0<Real.log t := by linarith
have hl' : Real.log t ≤ (1/4:ℝ)*t := by
simpa only [id_eq,Real.norm_eq_abs,abs_of_pos hg0,abs_of_pos ht0] using hl
have hp' : Real.log t ≤ t^(3/10:ℝ) := by
simpa only [Real.rpow_one,Real.norm_eq_abs,abs_of_pos hg0,
abs_of_nonneg (Real.rpow_nonneg ht0.le (3/10:ℝ)),one_mul] using hp
refine ⟨ht,hg,by linarith,?_⟩
apply (le_div_iff₀ hg0).mpr
calc
_ ≤ t^(7/10:ℝ)*t^(3/10:ℝ) := mul_le_mul_of_nonneg_left hp' (by positivity)
_ = t := by rw [←Real.rpow_add ht0]; norm_num
theorem schedule_exists (t : ℕ) (ht : 1 < (t:ℝ))
(hl : 1 ≤ Real.log t) (hlog : 4*Real.log t ≤ t)
(hp : (t:ℝ)^(7/10:ℝ) ≤ (t:ℝ)/Real.log t) :
∃ m : ℕ, m ≤ t ∧ rate t m < (t:ℝ)/Real.log t ∧
(∀ j < m, (t:ℝ)/Real.log t ≤ rate t j ∧ rate t j ≤ 4*t) ∧
(∑ j ∈ range m, bins t j)+16*t ≤ 4096*t ∧
(∀ j < m, (t:ℝ)^(7/10:ℝ) ≤ (bins t j:ℝ)) ∧
(t:ℝ)^(7/10:ℝ) ≤ 16*t := by
have ht0 : 0 < (t:ℝ) := by linarith
have hl0 : 0 < Real.log t := by linarith
have hlast : rate t t < (t:ℝ)/Real.log t := by
dsimp [rate]
apply (div_lt_div_iff₀ (by positivity) hl0).mpr
have hh := power_two_lower t
nlinarith
let m := Nat.find (show ∃ m, rate t m < (t:ℝ)/Real.log t from ⟨t,hlast⟩)
have hm : m ≤ t := Nat.find_min' _ hlast
have hterm : rate t m < (t:ℝ)/Real.log t :=
Nat.find_spec (show ∃ m, rate t m < (t:ℝ)/Real.log t from ⟨t,hlast⟩)
have hvalid : ∀ j < m, (t:ℝ)/Real.log t ≤ rate t j := by
intro j hj
exact le_of_not_gt (Nat.find_min (show ∃ m, rate t m < (t:ℝ)/Real.log t from ⟨t,hlast⟩) hj)
refine ⟨m,hm,hterm,fun j hj => ⟨hvalid j hj,rate_le ht0.le j⟩,?_,?_,?_⟩
· apply (Nat.cast_le (α := ℝ)).mp
push_cast
have hs : (∑ j ∈ range m, (bins t j:ℝ)) ≤ 3072*t+(m:ℝ) := by
calc
_ ≤ ∑ j ∈ range m, (768*(t:ℝ)*(((j:ℝ)+1)/(2:ℝ)^j)+1) :=
sum_le_sum fun j _ => bins_upper ht0 j
_ = 768*(t:ℝ)*(∑ j ∈ range m, ((j:ℝ)+1)/(2:ℝ)^j)+(m:ℝ) := by
rw [sum_add_distrib,←mul_sum]; simp
_ ≤ _ := by have := geometric_budget m; nlinarith
have hm' : (m:ℝ) ≤ t := by exact_mod_cast hm
nlinarith
· exact fun j hj => hp.trans (bins_lower ht j (hvalid j hj))
· exact hp.trans ((div_le_self ht0.le hl).trans (by nlinarith))
theorem palette_tail_cutoff : ∀ᶠ t : ℝ in atTop,
∀ (n b j : ℕ) (u : Fin j → ℕ), n ≤ t^(11/10:ℝ) → 1 ≤ b →
(b:ℝ) ≤ 4096*t → (j:ℝ) ≤ t+1 →
(∀ i, t^(7/10:ℝ) ≤ (u i:ℝ)) →
(n:ℝ)*(∑ i, (2:ℝ)^(u i)*Real.exp (-(32768*t)*(u i)/(2*b))) < 1 := by
have hh := Sampling.polynomial_tail_cutoff 1 (21/10) (show (0:ℝ)<1 by norm_num)
filter_upwards [eventually_ge_atTop (1:ℝ),hh] with t ht hh
intro n b j u hn hb hb' hj hu
have ht0 : 0<t := by linarith
have hb0 : 0 < (b:ℝ) := by exact_mod_cast (by omega : 0 < b)
have hratio : 4 ≤ (32768*t)/(2*b) := (le_div_iff₀ (by positivity)).mpr (by nlinarith)
have hterm (i : Fin j) : (2:ℝ)^(u i)*Real.exp (-(32768*t)*(u i)/(2*b)) ≤
Real.exp (-t^(7/10:ℝ)) := by
have he : (2:ℝ)^(u i)=Real.exp ((u i:ℝ)*Real.log 2) := by
rw [Real.exp_nat_mul,Real.exp_log (by norm_num : (0:ℝ)<2)]
rw [he,←Real.exp_add]
apply Real.exp_le_exp.mpr
have he' : -(32768*t)*(u i)/(2*b)= -((32768*t)/(2*b))*(u i) := by ring
rw [he']
have hlog : Real.log 2 ≤ 1 := by linarith [Real.log_two_lt_d9]
have hmul := mul_le_mul_of_nonneg_right hratio (Nat.cast_nonneg (u i))
have hmul' := mul_le_mul_of_nonneg_left hlog (Nat.cast_nonneg (u i))
nlinarith [hu i]
calc
_ ≤ (n:ℝ)*(∑ _i : Fin j, Real.exp (-t^(7/10:ℝ))) := by gcongr with i; exact hterm i
_ = (n:ℝ)*((j:ℝ)*Real.exp (-t^(7/10:ℝ))) := by simp [nsmul_eq_mul]
_ ≤ t^(11/10:ℝ)*((2*t)*Real.exp (-t^(7/10:ℝ))) := by gcongr; linarith
_ = 1*t^(21/10:ℝ)*(2*Real.exp (-t^(7/10:ℝ))) := by
have he : t^(11/10:ℝ)*t=t^(21/10:ℝ) := by
calc
_ = t^(11/10:ℝ)*t^(1:ℝ) := by rw [Real.rpow_one]
_ = _ := by rw [←Real.rpow_add ht0]; norm_num
rw [show t^(11/10:ℝ)*((2*t)*Real.exp (-t^(7/10:ℝ))) =
2*(t^(11/10:ℝ)*t)*Real.exp (-t^(7/10:ℝ)) by ring,he]
ring
_ < 1 := hh
end LinearListHadwiger.SmallList
namespace LinearListHadwiger.SmallList
open Finset Fractional
attribute [local instance] Classical.propDecidable
variable {V : Type} [Fintype V] [DecidableEq V]
def FractionalObstruction (G : SimpleGraph V) : Prop :=
∃ S : Finset V, 4*(hadwigerNumber (G.induce (↑S:Set V)):ℝ) <
number (G.induce (↑S:Set V))
noncomputable def singletonModel {W : Type} (G : SimpleGraph V) (H : SimpleGraph W)
(f : W → V) (hf : Function.Injective f)
(ha : ∀ ⦃u v⦄, H.Adj u v → G.Adj (f u) (f v)) : MinorModel G H where
branch w := {f w}
connected w := by
have : Nonempty ({f w}:Set V) := ⟨⟨f w,rfl⟩⟩
exact SimpleGraph.Connected.of_subsingleton
disjoint u v hn := Set.disjoint_singleton.mpr (fun he => hn (hf he))
adjacent := by intro u v h; exact ⟨_,rfl,_,rfl,ha h⟩
lemma number_iso {W : Type} [Fintype W] [DecidableEq W]
{G : SimpleGraph V} {H : SimpleGraph W} (e : G ≃g H) : number G=number H := by
apply le_antisymm
· have he : G=H.comap e := by ext u v; exact e.map_adj_iff.symm
rw [he]
exact number_comap H e
· have he : H=G.comap e.symm := by ext u v; exact e.symm.map_adj_iff.symm
rw [he]
exact number_comap G e.symm
noncomputable def induceImageIso (G : SimpleGraph V) (R : Finset V)
(A : Finset (↑R:Set V)) :
(G.induce (↑R:Set V)).induce (↑A:Set (↑R:Set V)) ≃g
G.induce (↑(A.image Subtype.val):Set V) where
toFun a := ⟨a.val.val,mem_image.mpr ⟨a.val,a.property,rfl⟩⟩
invFun v := ⟨⟨v.val,by obtain ⟨a,_,he⟩ := mem_image.mp v.property; exact he ▸ a.property⟩,
by
obtain ⟨a,ha,he⟩ := mem_image.mp v.property
have ha' : a=⟨v.val,by exact he ▸ a.property⟩ := Subtype.ext he
change (⟨v.val,_⟩ : (↑R:Set V)) ∈ A
simpa only [ha'] using ha⟩
left_inv a := by apply Subtype.ext; apply Subtype.ext; rfl
right_inv v := rfl
map_rel_iff' := by intros; rfl
omit [Fintype V] in
lemma obstruction_induce (G : SimpleGraph V) (R : Finset V)
(h : FractionalObstruction (G.induce (↑R:Set V))) : FractionalObstruction G := by
obtain ⟨A,hA⟩ := h
let e := induceImageIso G R A
have hm := (singletonModel _ _ e.symm e.symm.injective
(fun {_ _} ha => e.symm.map_adj_iff.mpr ha)).hadwiger_le
refine ⟨A.image Subtype.val,?_⟩
rw [number_iso e] at hA
have hm' : (hadwigerNumber (G.induce (↑(A.image Subtype.val):Set V)):ℝ) ≤
hadwigerNumber ((G.induce (↑R:Set V)).induce (↑A:Set (↑R:Set V))) := by
exact_mod_cast hm
linarith
lemma number_le_four (G : SimpleGraph V) (h : ¬FractionalObstruction G) :
number G ≤ 4*(hadwigerNumber G:ℝ) := by
have hh : number (G.induce (↑(univ:Finset V):Set V)) ≤
4*(hadwigerNumber (G.induce (↑(univ:Finset V):Set V)):ℝ) :=
le_of_not_gt (fun hn => h ⟨univ,hn⟩)
have he : G=(G.induce (↑(univ:Finset V):Set V)).comap
(fun v => ⟨v,mem_univ v⟩) := rfl
have hn : number G ≤ number (G.induce (↑(univ:Finset V):Set V)) := by
rw [he]
exact number_comap _ _
have hm := (Knitting.model_induce G univ).hadwiger_le
have hm' : (hadwigerNumber (G.induce (↑(univ:Finset V):Set V)):ℝ) ≤ hadwigerNumber G := by
exact_mod_cast hm
linarith
omit [Fintype V] in
lemma stable_image {G : SimpleGraph V} {R : Finset V} {A : Finset (↑R:Set V)}
(h : Stable (G.induce (↑R:Set V)) A) : Stable G (A.image Subtype.val) := by
intro u hu v hv hav
obtain ⟨a,ha,rfl⟩ := mem_image.mp hu
obtain ⟨b,hb,rfl⟩ := mem_image.mp hv
exact h a ha b hb hav
section Palette
variable {J Color : Type} [Fintype J] [DecidableEq J]
variable (u : J → ℕ)
abbrev Palette := (j : J) × Fin (u j)
noncomputable def block (j : J) : Finset (Palette u) :=
univ.map (Function.Embedding.sigmaMk j)
omit [Fintype J] [DecidableEq J] in
lemma block_card (j : J) : (block u j).card=u j := by simp [block]
omit [Fintype J] [DecidableEq J] in
lemma mem_block (b : Palette u) (j : J) : b∈block u j ↔ b.1=j := by
simp only [block,mem_map,mem_univ,true_and,Function.Embedding.sigmaMk_apply]
constructor
· rintro ⟨a,rfl⟩; rfl
· intro hb; subst j; exact ⟨b.2,rfl⟩
noncomputable def eligible (L : V → Finset Color) (f : Color → Palette u)
(j : J) (b : Fin (u j)) : Finset V := univ.filter (fun v => ∃ c∈L v, f c=⟨j,b⟩)
omit [Fintype J] in
lemma occupied_card (L : V → Finset Color) (f : Color → Palette u) (v : V) (j : J) :
(ColorBins.occupied (L v) (block u j) f).card=
(univ.filter (fun b : Fin (u j) => v∈eligible u L f j b)).card := by
classical
have he : ColorBins.occupied (L v) (block u j) f =
(univ.filter (fun b : Fin (u j) => v∈eligible u L f j b)).map
(Function.Embedding.sigmaMk j) := by
ext b
simp only [ColorBins.occupied,mem_inter,mem_image,mem_map,mem_filter,mem_univ,
true_and,eligible,Function.Embedding.sigmaMk_apply]
constructor
· rintro ⟨hb,⟨c,hc,he⟩⟩
have hb' := (mem_block u b j).mp hb
subst j
exact ⟨b.2,⟨c,hc,he⟩,rfl⟩
· rintro ⟨a,⟨c,hc,he⟩,rfl⟩
exact ⟨(mem_block u ⟨j,a⟩ j).mpr rfl,⟨c,hc,he⟩⟩
rw [he,card_map]
end Palette
noncomputable def blockSize (t m : ℕ) (j : Fin (m+1)) : ℕ :=
if j.val < m then bins t j.val else 16*t
lemma blockSize_stage (t m : ℕ) (j : Fin m) :
blockSize t m j.castSucc=bins t j.val := by simp [blockSize,j.isLt]
lemma blockSize_cleanup (t m : ℕ) : blockSize t m (Fin.last m)=16*t := by
simp [blockSize]
lemma palette_card (t m : ℕ) :
Fintype.card (Palette (blockSize t m))=(∑ j∈range m,bins t j)+16*t := by
rw [Fintype.card_sigma]
simp only [Fintype.card_fin]
rw [Fin.sum_univ_castSucc]
simp only [blockSize_stage,blockSize_cleanup]
rw [Fin.sum_univ_eq_sum_range]
abbrev RunPalette (t m : ℕ) := ((j : Fin m) × Fin (bins t j.val)) ⊕ Fin (16*t)
def stageBin (t m : ℕ) (j : Fin m) (b : Fin (bins t j.val)) : RunPalette t m :=
Sum.inl ⟨j,b⟩
def binIndex {t m : ℕ} : RunPalette t m → ℕ :=
Sum.elim (fun b => b.1.val) (fun _ => m)
lemma stageBin_injective (t m : ℕ) (j : Fin m) :
Function.Injective (stageBin t m j) := by
intro a b h
exact eq_of_heq (Sigma.mk.inj_iff.mp (Sum.inl.inj h)).2
noncomputable def runBlock (t m : ℕ) : Option (Fin m) → Finset (RunPalette t m)
| none => univ.map Function.Embedding.inr
| some j => univ.map ⟨stageBin t m j,stageBin_injective t m j⟩
lemma runBlock_none (t m : ℕ) : (runBlock t m none).card=16*t := by
simp [runBlock]
lemma runBlock_some (t m : ℕ) (j : Fin m) :
(runBlock t m (some j)).card=bins t j.val := by simp [runBlock]
lemma runPalette_card (t m : ℕ) :
Fintype.card (RunPalette t m)=(∑ j∈range m,bins t j)+16*t := by
simp only [RunPalette,Fintype.card_sum,Fintype.card_sigma,Fintype.card_fin]
rw [Fin.sum_univ_eq_sum_range]
omit [Fintype V] [DecidableEq V] in
lemma stable_extend {A B : Type} [DecidableEq B] (G : SimpleGraph V)
(e : A → B) (he : Function.Injective e) (S : A → Finset V)
(hs : ∀ a, Stable G (S a)) (b : B) :
Stable G (Function.extend e S (fun _ => ∅) b) := by
by_cases hb : ∃ a,e a=b
· obtain ⟨a,rfl⟩ := hb
rw [he.extend_apply]
exact hs a
· rw [Function.extend_apply' _ _ _ hb]
intro v hv
simp at hv
theorem stage_cover_or_obstruction :
∃ T : ℝ, ∀ (t m : ℕ), T ≤ (t:ℝ) →
(∀ j < m, (t:ℝ)/Real.log t ≤ rate t j ∧ rate t j ≤ 4*t) →
∀ (V : Type) [Fintype V] [DecidableEq V], ∀ G : SimpleGraph V,
(Fintype.card V:ℝ) ≤ (t:ℝ)^(11/10:ℝ) → hadwigerNumber G < t →
∀ E : RunPalette t m → Finset V,
(∀ (j : Fin m) (v : V), (bins t j.val:ℝ)/2 ≤
(univ.filter (fun b => v ∈ E (stageBin t m j b))).card) →
FractionalObstruction G ∨ ∀ k ≤ m, ∃ (R : Finset V) (S : RunPalette t m → Finset V),
number (G.induce (↑R:Set V)) ≤ rate t k ∧
(∀ b, Stable G (S b)) ∧
(∀ b v, v∈S b → binIndex b < k) ∧
(∀ v, v∉R → ∃ b, v∈S b ∧ v∈E b) := by
classical
obtain ⟨T,hT⟩ := Sampling.eligible_thinning_or_fractional_counterexample
refine ⟨max T 2,?_⟩
intro t m ht hvalid V _ _ G hord hminor E hE
by_cases hob : FractionalObstruction G
· exact Or.inl hob
right
have htT : T ≤ (t:ℝ) := (le_max_left _ _).trans ht
have ht2 : (2:ℝ) ≤ t := (le_max_right _ _).trans ht
have hn : 1 ≤ (t:ℝ)^(11/10:ℝ) := Real.one_le_rpow (by linarith) (by norm_num)
intro k hk
induction k with
| zero =>
refine ⟨univ,fun _ => ∅,?_,?_,?_,?_⟩
· rw [rate_zero]
have hh := number_le_four G hob
have hm : (hadwigerNumber G:ℝ) ≤ t := by exact_mod_cast hminor.le
have hb : number G ≤ 4*(t:ℝ) := by linarith only [hh,hm]
exact (number_comap G (Subtype.val : (↑(univ:Finset V):Set V) → V)).trans hb
· intro b v hv; simp at hv
· intro b v hv; simp at hv
· intro v hv; exact (hv (mem_univ v)).elim
| succ k ih =>
obtain ⟨R,S,hf,hS,hsupp,hcover⟩ := ih (by omega)
let j : Fin m := ⟨k,by omega⟩
let H := G.induce (↑R:Set V)
let E' (b : Fin (bins t k)) : Finset (↑R:Set V) :=
univ.filter (fun v => v.val ∈ E (stageBin t m j b))
have hE' (v : (↑R:Set V)) : (bins t k:ℝ)/2 ≤
(univ.filter (fun b => v∈E' b)).card := by
simpa only [E',mem_filter,mem_univ,true_and] using hE j v.val
have hhord : (Fintype.card (↑R:Set V):ℝ) ≤ (t:ℝ)^(11/10:ℝ) := by
have hc : Fintype.card (↑R:Set V) ≤ Fintype.card V := Fintype.card_subtype_le _
have hc' : (Fintype.card (↑R:Set V):ℝ) ≤ Fintype.card V := by exact_mod_cast hc
exact hc'.trans hord
have hhminor : hadwigerNumber H < t := (Knitting.model_induce G R).hadwiger_le.trans_lt hminor
have hh := hT t ((t:ℝ)^(11/10:ℝ)) (rate t k) htT hn le_rfl
(hvalid k (by omega)).1 (hvalid k (by omega)).2
(↑R:Set V) H hhord hhminor hf E' hE'
rcases hh with ⟨A,hA,hrem⟩ | hbad
· change Fin (bins t k) → Finset (↑R:Set V) at A
let Q : Finset (↑R:Set V) := univ\univ.biUnion (fun b => A b∩E' b)
let R' := Q.image Subtype.val
let e := stageBin t m j
have he : Function.Injective e := stageBin_injective t m j
let A' (b : Fin (bins t k)) : Finset V := (A b).image Subtype.val
let D := Function.extend e A' (fun _ => ∅)
have hD : ∀ b, Stable G (D b) := stable_extend G e he A' (fun b => stable_image (hA b))
have hs (b : RunPalette t m) (hb : binIndex b=k) : S b=∅ := by
apply eq_empty_iff_forall_notMem.mpr
intro v hv
have := hsupp b v hv
omega
have hds (b : RunPalette t m) (v : V) (hv : v∈D b) : binIndex b=k := by
by_cases hb : ∃ a,e a=b
· obtain ⟨a,rfl⟩ := hb; rfl
· have hd : D b=∅ := Function.extend_apply' _ _ _ hb
rw [hd] at hv
simp at hv
refine ⟨R',fun b => S b∪D b,?_,?_,?_,?_⟩
· rw [←number_iso (induceImageIso G R Q),rate_succ]
exact hrem
· intro b
change Stable G (S b∪D b)
by_cases hb : binIndex b=k
· rw [hs b hb,empty_union]; exact hD b
· have hd : D b=∅ := eq_empty_iff_forall_notMem.mpr (fun v hv => hb (hds b v hv))
rw [hd,union_empty]; exact hS b
· intro b v hv
rcases mem_union.mp hv with hv | hv
· exact (hsupp b v hv).trans (Nat.lt_succ_self _)
· rw [hds b v hv]; omega
· intro v hv
by_cases hvr : v∈R
· let v' : (↑R:Set V) := ⟨v,hvr⟩
have hvq : v'∉Q := fun hh => hv (mem_image.mpr ⟨v',hh,rfl⟩)
have hva : v'∈univ.biUnion (fun b => A b∩E' b) := by
by_contra h
exact hvq (mem_sdiff.mpr ⟨mem_univ _,h⟩)
obtain ⟨a,_,ha⟩ := mem_biUnion.mp hva
refine ⟨e a,mem_union_right _ ?_,(mem_filter.mp (mem_inter.mp ha).2).2⟩
change v ∈ Function.extend e A' (fun _ => ∅) (e a)
erw [he.extend_apply]
exact mem_image.mpr ⟨v',(mem_inter.mp ha).1,rfl⟩
· obtain ⟨b,hb,hbe⟩ := hcover v hvr
exact ⟨b,mem_union_left _ hb,hbe⟩
· exact (hob (obstruction_induce G R hbad)).elim
lemma occupied_image_card {A B Color : Type} [Fintype A] [DecidableEq A] [DecidableEq B]
(e : A ↪ B) (L : Finset Color) (f : Color → B) :
(ColorBins.occupied L (univ.map e) f).card=
(univ.filter (fun a => ∃ c∈L, f c=e a)).card := by
classical
have he : ColorBins.occupied L (univ.map e) f =
(univ.filter (fun a => ∃ c∈L, f c=e a)).map e := by
ext b
simp only [ColorBins.occupied,mem_inter,mem_map,mem_univ,true_and,mem_image,mem_filter]
constructor
· rintro ⟨⟨a,rfl⟩,c,hc,he⟩
exact ⟨a,⟨c,hc,he⟩,rfl⟩
· rintro ⟨a,⟨c,hc,he⟩,rfl⟩
exact ⟨⟨a,rfl⟩,c,hc,he⟩
rw [he,card_map]
lemma finish_cover (t m : ℕ) (G : SimpleGraph V) (ht : 1 < (t:ℝ))
(horder : (Fintype.card V:ℝ) ≤ (t:ℝ)^(11/10:ℝ))
(hterm : rate t m < (t:ℝ)/Real.log t) (E : RunPalette t m → Finset V)
(hE : ∀ v, 8*(t:ℝ) ≤ (univ.filter (fun b : Fin (16*t) => v∈E (Sum.inr b))).card)
(R : Finset V) (S : RunPalette t m → Finset V)
(hf : number (G.induce (↑R:Set V)) ≤ rate t m)
(hS : ∀ b, Stable G (S b))
(hsupp : ∀ b v, v∈S b → binIndex b < m)
(hcover : ∀ v, v∉R → ∃ b, v∈S b ∧ v∈E b) :
∃ S' : RunPalette t m → Finset V, (∀ b, Stable G (S' b)) ∧
∀ v, ∃ b, v∈S' b ∧ v∈E b := by
classical
let E' (b : Fin (16*t)) : Finset (↑R:Set V) :=
univ.filter (fun v => v.val ∈ E (Sum.inr b))
have hord : (Fintype.card (↑R:Set V):ℝ) ≤ (t:ℝ)^(11/10:ℝ) := by
have hc : (Fintype.card (↑R:Set V):ℝ) ≤ Fintype.card V := by
exact_mod_cast Fintype.card_subtype_le (·∈(↑R:Set V))
exact hc.trans horder
obtain ⟨A,hA,hcov⟩ := Cleanup.cleanup_source (G.induce (↑R:Set V)) ht hord
(hf.trans hterm.le) E' (fun v => by
simpa only [E',mem_filter,mem_univ,true_and] using hE v.val)
refine ⟨Sum.elim (fun b => S (Sum.inl b)) (fun b => (A b).image Subtype.val),?_,?_⟩
· intro b
rcases b with b | b
· exact hS (Sum.inl b)
· exact stable_image (hA b)
· intro v
by_cases hv : v∈R
· obtain ⟨b,hbe,hba⟩ := hcov ⟨v,hv⟩
exact ⟨Sum.inr b,mem_image.mpr ⟨⟨v,hv⟩,hba,rfl⟩,(mem_filter.mp hbe).2⟩
· obtain ⟨b,hb,he⟩ := hcover v hv
rcases b with b | b
· exact ⟨Sum.inl b,hb,he⟩
· have hh := hsupp (Sum.inr b) v hb
simp only [binIndex,Sum.elim_inr] at hh
omega
theorem choosable_or_fractional_obstruction :
∃ T : ℝ, ∀ (t : ℕ), T ≤ (t:ℝ) →
∀ (V : Type) [Fintype V] [DecidableEq V], ∀ G : SimpleGraph V,
(Fintype.card V:ℝ) ≤ (t:ℝ)^(11/10:ℝ) → hadwigerNumber G < t →
Choosable G (32768*t) ∨ FractionalObstruction G := by
classical
obtain ⟨T₀,hT₀⟩ := stage_cover_or_obstruction
obtain ⟨T₁,hT₁⟩ := Filter.eventually_atTop.mp schedule_cutoff
obtain ⟨T₂,hT₂⟩ := Filter.eventually_atTop.mp palette_tail_cutoff
refine ⟨max T₀ (max T₁ T₂),?_⟩
intro t ht V _ _ G hord hminor
by_cases hob : FractionalObstruction G
· exact Or.inr hob
left
have ht₀ := (le_max_left T₀ _).trans ht
have ht₁ := ((le_max_left T₁ T₂).trans (le_max_right T₀ _)).trans ht
have ht₂ := ((le_max_right T₁ T₂).trans (le_max_right T₀ _)).trans ht
obtain ⟨ht1,hl,hlog,hp⟩ := hT₁ (t:ℝ) ht₁
obtain ⟨m,hm,hterm,hvalid,hbudget,hblocks,hcleanup⟩ := schedule_exists t ht1 hl hlog hp
have htN : 1 ≤ t := by exact_mod_cast (show (1:ℝ) ≤ t by linarith)
have hb : 1 ≤ Fintype.card (RunPalette t m) := by rw [runPalette_card]; omega
have hb' : (Fintype.card (RunPalette t m):ℝ) ≤ 4096*t := by
rw [runPalette_card]
exact_mod_cast hbudget
intro Color L hL
let u (j : Option (Fin m)) := (runBlock t m j).card
let e : Option (Fin m) ≃ Fin (Fintype.card (Option (Fin m))) := Fintype.equivFin _
have hj : (Fintype.card (Option (Fin m)):ℝ) ≤ (t:ℝ)+1 := by
simp only [Fintype.card_option,Fintype.card_fin,Nat.cast_add,Nat.cast_one]
exact_mod_cast Nat.add_le_add_right hm 1
have hu (j : Option (Fin m)) : (t:ℝ)^(7/10:ℝ) ≤ (u j:ℝ) := by
cases j with
| none => simpa only [u,runBlock_none,Nat.cast_mul,Nat.cast_ofNat] using hcleanup
| some j => simpa only [u,runBlock_some] using hblocks j.val j.isLt
have htail₀ := hT₂ (t:ℝ) ht₂ (Fintype.card V) (Fintype.card (RunPalette t m))
(Fintype.card (Option (Fin m))) (fun i => u (e.symm i)) hord hb hb' hj (fun i => hu (e.symm i))
have hsum : (∑ i : Fin (Fintype.card (Option (Fin m))),
(2:ℝ)^(u (e.symm i))*Real.exp (-(32768*(t:ℝ))*(u (e.symm i))/(2*Fintype.card (RunPalette t m)))) =
∑ j : Option (Fin m), (2:ℝ)^(u j)*Real.exp (-(32768*(t:ℝ))*(u j)/(2*Fintype.card (RunPalette t m))) := by
exact Fintype.sum_equiv e.symm _ _ (fun _ => rfl)
rw [hsum] at htail₀
have htail : (Fintype.card V:ℝ)*(∑ j, (2:ℝ)^(runBlock t m j).card*
Real.exp (-(32768*t:ℕ)*(runBlock t m j).card/(2*Fintype.card (RunPalette t m)))) < 1 := by
simpa only [Nat.cast_mul,Nat.cast_ofNat,u] using htail₀
obtain ⟨f,hf⟩ := ColorBins.exists_bins hb L (runBlock t m) hL htail
let E (b : RunPalette t m) : Finset V := univ.filter (fun v => ∃ c∈L v, f c=b)
have hEstage (j : Fin m) (v : V) : (bins t j.val:ℝ)/2 ≤
(univ.filter (fun b => v∈E (stageBin t m j b))).card := by
have hh := hf v (some j)
rw [runBlock_some] at hh
have he := occupied_image_card
(⟨stageBin t m j,stageBin_injective t m j⟩ : Fin (bins t j.val) ↪ RunPalette t m) (L v) f
change (ColorBins.occupied (L v) (runBlock t m (some j)) f).card=_ at he
rw [he] at hh
have hh' : (bins t j.val:ℝ) ≤ 2*(univ.filter (fun b => ∃ c∈L v, f c=stageBin t m j b)).card := by
exact_mod_cast hh
simpa only [E,mem_filter,mem_univ,true_and] using (show (bins t j.val:ℝ)/2 ≤
(univ.filter (fun b => ∃ c∈L v, f c=stageBin t m j b)).card by linarith)
have hEcleanup (v : V) : 8*(t:ℝ) ≤ (univ.filter (fun b : Fin (16*t) => v∈E (Sum.inr b))).card := by
have hh := hf v none
rw [runBlock_none] at hh
have he := occupied_image_card (Function.Embedding.inr : Fin (16*t) ↪ RunPalette t m) (L v) f
change (ColorBins.occupied (L v) (runBlock t m none) f).card=_ at he
rw [he] at hh
have hh' : 16*(t:ℝ) ≤ 2*(univ.filter (fun b : Fin (16*t) => ∃ c∈L v, f c=Sum.inr b)).card := by
exact_mod_cast hh
simpa only [E,mem_filter,mem_univ,true_and] using (show 8*(t:ℝ) ≤
(univ.filter (fun b : Fin (16*t) => ∃ c∈L v, f c=Sum.inr b)).card by linarith)
rcases hT₀ t m ht₀ hvalid V G hord hminor E hEstage with hbad | hstates
· exact (hob hbad).elim
obtain ⟨R,S,hrem,hS,hsupp,hcover⟩ := hstates m le_rfl
obtain ⟨S',hS',hcover'⟩ := finish_cover t m G ht1 hord hterm E hEcleanup R S hrem hS hsupp hcover
apply ColorBins.listColorable_of_bin_cover G L f S' hS'
intro v
obtain ⟨b,hb,he⟩ := hcover' v
exact ⟨b,hb,(mem_filter.mp he).2⟩
end LinearListHadwiger.SmallList
end OAI