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import OAI.Geometry.PinnedDistances.UniformCore
namespace OAI
universe u1 u2 u3 u4 u5 u6 u7 u8
section
noncomputable section
open NumberField
open scoped BigOperators
noncomputable section
open MeasureTheory
open scoped Topology
noncomputable section
open MeasureTheory
open scoped Topology ENNReal
noncomputable section
open MeasureTheory NumberField
open scoped BigOperators
noncomputable section
open scoped BigOperators
open MeasureTheory
noncomputable section
open Filter
open scoped Topology
noncomputable section
open scoped BigOperators
namespace WeakPinned.Core.Fibers
open scoped BigOperators
open Variance
variable {V : Type u1} {I : Type u2} [Fintype V] [Fintype I] [DecidableEq V]
variable (G : Fibers V I)
def edges : Finset (V × V) := G.edgeSet (-1) Finset.univ
def edgeCount : ℝ := G.edges.card
def edgeLaw (x y : V) : ℝ := if (x,y) ∈ G.edges then 1/G.edgeCount else 0
def fiberWeight (e : I) : ℝ := (G.targets e).card / G.edgeCount
def incoming (y : V) : Finset V := Finset.univ.filter (fun x => (x,y) ∈ G.edges)
def incomingWeight (y : V) : ℝ := (G.incoming y).card / G.edgeCount
omit [Fintype I] in
lemma active_univ_neg_one (e : I) : G.active (-1) Finset.univ e := by
refine ⟨Finset.mem_univ _,?_⟩
have h := Nat.cast_nonneg (α:=ℝ) (G.size Finset.univ e)
linarith
lemma edgeCount_eq : G.edgeCount = ∑ e, ((G.targets e).card : ℝ) := by
unfold edgeCount edges
rw [edgeSet_card]
simp [G.active_univ_neg_one,size]
omit [Fintype I] in
lemma edgeLaw_nonneg (x y : V) : 0 ≤ G.edgeLaw x y := by
unfold edgeLaw edgeCount
split_ifs <;> positivity
omit [Fintype I] in
lemma edgeLaw_diag (x : V) : G.edgeLaw x x=0 := by
have hh : (x,x) ∉ G.edges := by
intro h
exact G.edge_no_loop (-1) Finset.univ x (Finset.mem_filter.mp h).2
simp [edgeLaw,hh]
omit [Fintype I] in
lemma fiberWeight_nonneg (e : I) : 0 ≤ G.fiberWeight e := by
unfold fiberWeight edgeCount
positivity
lemma sum_fiberWeight (hG : 0 < G.edgeCount) : ∑ e, G.fiberWeight e=1 := by
simp only [fiberWeight,← Finset.sum_div,← G.edgeCount_eq,div_self hG.ne']
omit [Fintype I] in
lemma fiberWeight_prob (e : I) (y : V) :
G.fiberWeight e*prob (G.targets e) y = if y ∈ G.targets e then 1/G.edgeCount else 0 := by
by_cases hy : y ∈ G.targets e
· have hk : ((G.targets e).card : ℝ) ≠ 0 := by
exact_mod_cast (Finset.card_ne_zero.mpr ⟨y,hy⟩)
simp only [fiberWeight,prob,ite_eq_left hy]
field_simp
· simp [prob,hy]
lemma sampling_fiber (x y : V) :
(∑ e, if G.source e=x then G.fiberWeight e * prob (G.targets e) y else 0) =
G.edgeLaw x y := by
have he := G.edge_indicator (-1) Finset.univ x y
simp only [G.active_univ_neg_one,true_and,Finset.mem_inter,Finset.mem_univ,and_true] at he
have hh : (∑ e, if G.source e=x then G.fiberWeight e * prob (G.targets e) y else 0) =
(∑ e, if G.source e=x ∧ y ∈ G.targets e then (1:ℝ) else 0)/G.edgeCount := by
simp only [Finset.sum_div,G.fiberWeight_prob]
apply Finset.sum_congr rfl
intro e _
by_cases hs : G.source e=x <;> by_cases hy : y ∈ G.targets e <;> simp [hs,hy]
rw [hh,he]
by_cases he : G.edge (-1) Finset.univ x y <;> simp [edgeLaw,edges,edgeSet,he]
lemma fiber_marginal (y : V) :
(∑ e, G.fiberWeight e * prob (G.targets e) y) = ∑ x, G.edgeLaw x y := by
simp_rw [← G.sampling_fiber]
rw [Finset.sum_comm]
apply Finset.sum_congr rfl
intro e _
simp
omit [Fintype I] in
lemma incoming_marginal (y : V) : ∑ x, G.edgeLaw x y=G.incomingWeight y := by
simp only [edgeLaw,incomingWeight,incoming,← Finset.sum_filter,Finset.sum_const,nsmul_eq_mul]
simp only [mul_one_div]
omit [Fintype I] in
lemma sampling_incoming (x y : V) :
G.incomingWeight y*prob (G.incoming y) x=G.edgeLaw x y := by
by_cases he : (x,y) ∈ G.edges
· have hm : x ∈ G.incoming y := by simp [incoming,he]
have hk : ((G.incoming y).card : ℝ) ≠ 0 := by exact_mod_cast (Finset.card_ne_zero.mpr ⟨x,hm⟩)
simp only [incomingWeight,prob,ite_eq_left hm,edgeLaw,ite_eq_left he]
field_simp
· have hm : x ∉ G.incoming y := by simp [incoming,he]
simp [prob,hm,edgeLaw,he]
omit [Fintype I] in
lemma sum_edgeLaw (hG : 0 < G.edgeCount) : (∑ x, ∑ y, G.edgeLaw x y)=1 := by
rw [← Fintype.sum_prod_type (f:=fun xy : V × V => G.edgeLaw xy.1 xy.2)]
simp only [edgeLaw,← Finset.sum_filter,Finset.sum_const,nsmul_eq_mul]
have he : Finset.univ.filter (fun xy : V × V => xy ∈ G.edges)=G.edges := by simp
rw [he]
change G.edgeCount*(1/G.edgeCount)=1
field_simp
omit [Fintype I] in
lemma sum_incomingWeight (hG : 0 < G.edgeCount) : ∑ y, G.incomingWeight y=1 := by
simp_rw [← G.incoming_marginal]
rw [Finset.sum_comm,G.sum_edgeLaw hG]
lemma fiber_domination (B : ℝ) (hdom : ∀ x y, G.edgeLaw x y ≤ B*pairProb Finset.univ x y)
(hn : 2 ≤ Fintype.card V) (y : V) :
(∑ e, G.fiberWeight e*prob (G.targets e) y) ≤ B*prob Finset.univ y := by
rw [G.fiber_marginal]
have hh := Finset.sum_le_sum (s:=Finset.univ) (fun x _ => hdom x y)
simpa only [← Finset.mul_sum,pairProb_symm _ _ y,sum_pairProb Finset.univ (by simpa using hn)] using hh
omit [Fintype I] in
lemma incoming_domination (B : ℝ) (hdom : ∀ x y, G.edgeLaw x y ≤ B*pairProb Finset.univ x y)
(hn : 2 ≤ Fintype.card V) (x : V) :
(∑ y, G.incomingWeight y*prob (G.incoming y) x) ≤ B*prob Finset.univ x := by
simp_rw [G.sampling_incoming]
have hh := Finset.sum_le_sum (s:=Finset.univ) (fun y _ => hdom x y)
simpa only [← Finset.mul_sum,sum_pairProb Finset.univ (by simpa using hn)] using hh
omit [Fintype I] in
/-- The exact bound on omitted small incoming degrees, not just a formal
little-o assertion. -/
lemma small_incoming_mass (T : ℝ) (hT : 0 ≤ T) :
(∑ y, if ((G.incoming y).card : ℝ)<T then G.incomingWeight y else 0) ≤
(Fintype.card V : ℝ)*T/G.edgeCount := by
have hn : 0 ≤ G.edgeCount := by unfold edgeCount; positivity
have hh : ∀ y, (if ((G.incoming y).card : ℝ)<T then G.incomingWeight y else 0) ≤ T/G.edgeCount := by
intro y
split_ifs with hy
· exact div_le_div_of_nonneg_right hy.le hn
· exact div_nonneg hT hn
have hs := Finset.sum_le_sum (s:=Finset.univ) (fun y _ => hh y)
simpa only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,mul_div_assoc] using hs
end WeakPinned.Core.Fibers
namespace WeakPinned.Core.Fibers
open scoped BigOperators
variable {V : Type u3} {I : Type u4} [Fintype V] [Fintype I] [DecidableEq V]
variable (G : Fibers V I)
abbrev Active (K : ℝ) (C : Finset V) := {e : I // G.active K C e}
instance (K : ℝ) (C : Finset V) : Fintype (G.Active K C) := by
classical
exact Fintype.ofFinite _
def onCore (K : ℝ) (C : Finset V) : Fibers C (G.Active K C) where
source e := ⟨G.source e.val,e.property.1⟩
targets e := Finset.univ.filter (fun y : C => y.val ∈ G.targets e.val)
no_loop e := by simpa using G.no_loop e.val
disjoint e f hef hs := by
apply Finset.disjoint_left.mpr
intro y hye hyf
have hne : e.val ≠ f.val := fun h => hef (Subtype.ext h)
have hs' : G.source e.val=G.source f.val := congrArg Subtype.val hs
exact Finset.disjoint_left.mp (G.disjoint _ _ hne hs')
(Finset.mem_filter.mp hye).2 (Finset.mem_filter.mp hyf).2
omit [Fintype V] [Fintype I] in
lemma onCore_targets (K : ℝ) (C : Finset V) (e : G.Active K C) :
((G.onCore K C).targets e).image Subtype.val=G.targets e.val ∩ C := by
ext y
simp only [onCore,Finset.mem_image,Finset.mem_filter,Finset.mem_univ,true_and,Finset.mem_inter]
constructor
· rintro ⟨z,hz,rfl⟩; exact ⟨hz,z.property⟩
· rintro ⟨hy,hC⟩; exact ⟨⟨y,hC⟩,hy,rfl⟩
omit [Fintype V] [Fintype I] in
lemma onCore_size (K : ℝ) (C : Finset V) (e : G.Active K C) :
((G.onCore K C).targets e).card=G.size C e.val := by
rw [← Finset.card_image_of_injective _ Subtype.val_injective,G.onCore_targets,size]
omit [Fintype I] in
omit [Fintype V] in
lemma onCore_edge (K : ℝ) (C : Finset V) (x y : C) :
(G.onCore K C).edge (-1) Finset.univ x y ↔ G.edge K C x.val y.val := by
simp only [edge,active_univ_neg_one,true_and,Finset.mem_inter,Finset.mem_univ,and_true]
constructor
· rintro ⟨e,hs,hy⟩
refine ⟨e.val,e.property,congrArg Subtype.val hs,?_⟩
exact ⟨(Finset.mem_filter.mp hy).2,y.property⟩
· rintro ⟨e,ha,hs,hy⟩
exact ⟨⟨e,ha⟩,Subtype.ext hs,Finset.mem_filter.mpr ⟨Finset.mem_univ _,hy.1⟩⟩
omit [Fintype I] in
lemma onCore_edges_image (K : ℝ) (C : Finset V) :
((G.onCore K C).edges).image (fun xy : C × C => (xy.1.val,xy.2.val))=G.edgeSet K C := by
ext xy
simp only [edges,edgeSet,Finset.mem_image,Finset.mem_filter,Finset.mem_univ,true_and]
constructor
· rintro ⟨⟨x,y⟩,hxy,rfl⟩
exact (G.onCore_edge K C x y).mp hxy
· intro hxy
obtain ⟨e,ha,hs,hy⟩ := hxy
have hxC : xy.1 ∈ C := hs ▸ ha.1
have hyC : xy.2 ∈ C := (Finset.mem_inter.mp hy).2
refine ⟨(⟨xy.1,hxC⟩,⟨xy.2,hyC⟩),?_,rfl⟩
exact (G.onCore_edge K C _ _).mpr ⟨e,ha,hs,hy⟩
omit [Fintype I] in
lemma onCore_card (K : ℝ) (C : Finset V) :
((G.onCore K C).edges).card=(G.edgeSet K C).card := by
rw [← G.onCore_edges_image]
apply (Finset.card_image_of_injective _ _).symm
intro a b h
exact Prod.ext (Subtype.ext (congrArg Prod.fst h)) (Subtype.ext (congrArg Prod.snd h))
omit [Fintype I] in
lemma onCore_degree (K : ℝ) (C : Finset V) (x : C) :
(G.onCore K C).degree (-1) Finset.univ x=G.degree K C x.val := by
simp only [degree,G.onCore_edge]
have hsum (f : V → ℝ) (hf : ∀ y, y ∉ C → f y=0) : (∑ y : C, f y.val)=∑ y, f y := by
rw [Finset.sum_coe_sort]
apply Finset.sum_subset (Finset.subset_univ _) (fun y _ hy => hf y hy)
simp only [← Finset.sum_boole,← Finset.sum_add_distrib]
apply hsum (fun y => (if G.edge K C x.val y then 1 else 0)+(if G.edge K C y x.val then 1 else 0))
intro y hy
have h1 : ¬ G.edge K C x.val y := by
rintro ⟨e,ha,hs,he⟩
exact hy (Finset.mem_inter.mp he).2
have h2 : ¬ G.edge K C y x.val := by
rintro ⟨e,ha,hs,he⟩
exact hy (hs ▸ ha.1)
simp [h1,h2]
end WeakPinned.Core.Fibers
namespace WeakPinned.Core.Fibers
open scoped BigOperators
variable {V : Type u5} {I : Type u6} [Fintype V] [Fintype I] [DecidableEq V]
variable (G : Fibers V I)
omit [Fintype V] [Fintype I] in
lemma onCore_size_subset (K : ℝ) (C : Finset V) (D : Finset C) (e : G.Active K C) :
(G.onCore K C).size D e=G.size (D.image Subtype.val) e.val := by
unfold size
rw [← Finset.card_image_of_injective _ Subtype.val_injective]
congr 1
ext y
simp only [Finset.mem_image,Finset.mem_inter]
constructor
· rintro ⟨z,⟨hz,hd⟩,rfl⟩
exact ⟨(Finset.mem_filter.mp hz).2,⟨z,hd,rfl⟩⟩
· rintro ⟨hy,z,hz,rfl⟩
exact ⟨z,⟨Finset.mem_filter.mpr ⟨Finset.mem_univ _,hy⟩,hz⟩,rfl⟩
def heavyCount (lam : ℝ) (D : Finset V) : ℝ :=
∑ e, if lam*((G.targets e).card : ℝ) ≤ (G.size D e : ℝ) ∧ G.source e ∈ D
then (G.size D e : ℝ) else 0
omit [Fintype V] in
lemma onCore_heavyCount (K lam : ℝ) (C : Finset V) (D : Finset C) :
(G.onCore K C).heavyCount lam D =
∑ e, if G.active K C e ∧ lam*(G.size C e : ℝ) ≤ (G.size (D.image Subtype.val) e : ℝ) ∧
G.source e ∈ D.image Subtype.val then (G.size (D.image Subtype.val) e : ℝ) else 0 := by
classical
unfold heavyCount
simp_rw [G.onCore_size_subset,G.onCore_size]
have hs (e : G.Active K C) : (G.onCore K C).source e ∈ D ↔ G.source e.val ∈ D.image Subtype.val := by
constructor
· intro h; exact Finset.mem_image.mpr ⟨_,h,rfl⟩
· intro h
obtain ⟨y,hy,he⟩ := Finset.mem_image.mp h
have hh : y=(G.onCore K C).source e := Subtype.ext he
simpa only [hh] using hy
simp_rw [hs]
rw [← Finset.sum_subtype (p:=G.active K C) (Finset.univ.filter (G.active K C)) (by simp)
(fun e => if lam*(G.size C e : ℝ) ≤ (G.size (D.image Subtype.val) e : ℝ) ∧
G.source e ∈ D.image Subtype.val then (G.size (D.image Subtype.val) e : ℝ) else 0), Finset.sum_filter]
apply Finset.sum_congr rfl
intro e _
by_cases he : G.active K C e <;> simp [he]
omit [Fintype I] in
lemma degree_marginal (x : V) : (∑ y, G.edgeLaw x y)+(∑ y, G.edgeLaw y x)=
G.degree (-1) Finset.univ x/G.edgeCount := by
simp only [edgeLaw,edges,edgeSet,Finset.mem_filter,Finset.mem_univ,true_and,
← Finset.sum_filter,Finset.sum_const,nsmul_eq_mul,degree,add_div,mul_one_div]
end WeakPinned.Core.Fibers
namespace WeakPinned
open scoped BigOperators
open WeakPinned.Core
abbrev coreGraph (P : Finset Plane) (s : ℝ) (C : Finset P) :=
(planarFibers P s).onCore (cutoff s P.card) C
lemma coreGraph_heavy (P : Finset Plane) (s lam : ℝ) (C : Finset P) (D : Finset C) :
(coreGraph P s C).heavyCount lam D = heavyCount P s (cutoff s P.card) lam C (D.image Subtype.val) := by
rw [(planarFibers P s).onCore_heavyCount]
unfold heavyCount heavyFiber
apply Finset.sum_congr rfl
intro e _
simp only [and_assoc]
structure PreparedGraph (V : Type u7) (I : Type u8) [Fintype V] [Fintype I] [DecidableEq V]
(G : Fibers V I) (θ γ c η : ℝ) : Prop where
card_ge : 2 ≤ Fintype.card V
lower : (θ-η)*(Fintype.card V : ℝ)*((Fintype.card V : ℝ)-1) ≤ G.edgeCount
upper : G.edgeCount ≤ (θ+η/8)*(Fintype.card V : ℝ)*((Fintype.card V : ℝ)-1)
degree : ∀ x, 2*(θ-η)*((Fintype.card V : ℝ)-1) ≤ G.degree (-1) Finset.univ x
fiber : ∀ e, (Fintype.card V : ℝ)^γ < ((G.targets e).card : ℝ)
subset : ∀ D, G.heavyCount (1/Real.log (Fintype.card V : ℝ)) D ≤ (θ+η)*(D.card : ℝ)*((D.card : ℝ)-1)
small : ∀ D, (D.card : ℝ) ≤ (Fintype.card V : ℝ)^(1-c) →
G.heavyCount (1/Real.log (Fintype.card V : ℝ)) D ≤ η*(D.card : ℝ)*((D.card : ℝ)-1)
lemma PreparedCore.graph {s γ c η : ℝ} {P : Finset Plane} {C : Finset P}
(h : PreparedCore s γ c η P C) :
PreparedGraph C ((planarFibers P s).Active (cutoff s P.card) C) (coreGraph P s C) (Theta s) γ c η := by
have hn : Fintype.card C=C.card := Fintype.card_coe C
have he : (coreGraph P s C).edgeCount = ((planarFibers P s).edgeSet (cutoff s P.card) C).card := by
unfold Core.Fibers.edgeCount
rw [(planarFibers P s).onCore_card]
refine ⟨by simpa only [hn] using h.card_two,?_,?_,?_,?_,?_,?_⟩
· simpa only [he,hn] using h.lower
· simpa only [he,hn] using h.upper
· intro x
simpa only [hn,(planarFibers P s).onCore_degree] using h.degree x.val x.property
· intro e
rw [(planarFibers P s).onCore_size,hn]
exact h.large_fiber.trans_lt e.property.2
· intro D
rw [hn,coreGraph_heavy]
simpa only [Finset.card_image_of_injective _ Subtype.val_injective] using h.subset (D.image Subtype.val)
· intro D hD
rw [hn,coreGraph_heavy]
have hc : (D.image Subtype.val).card=D.card := Finset.card_image_of_injective _ Subtype.val_injective
simpa only [hc] using h.small (D.image Subtype.val) (by simpa only [hc,hn] using hD)
/-- Actual arbitrarily large real planar graphs, with all uniform subset
bounds simultaneously. No graph condition is added to the main hypothesis. -/
theorem arbitrarily_large_graph (hfail : ¬ MainStatement) {s γ c : ℝ}
(hγ : 0<γ) (hγs : γ<s) (hc : 0<c) (hc1 : c<1)
(hsc : (1-c)*criticalExponent<s) (hs : ContinuousAt Theta s)
(η : ℝ) (hη : 0<η) (M : ℕ) :
∃ (P : Finset Plane) (C : Finset P), M<C.card ∧
PreparedGraph C ((planarFibers P s).Active (cutoff s P.card) C) (coreGraph P s C) (Theta s) γ c η := by
obtain ⟨P,C,hM,hC⟩ := arbitrarily_large_prepared hfail hγ hγs hc hc1 hsc hs η hη M
exact ⟨P,C,hM,hC.graph⟩
end WeakPinned
end
end
end
end
end
end
end
end
end OAI