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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.Growth.CosetBallIndex
import OAI.Probability.CriticalPercolation.Growth.CosetSparseGrowth
namespace OAI
section
noncomputable section
open Set Function
open scoped Classical Pointwise
namespace CriticalPercolation.RelativeGrowth
variable {A : Type*} [Group A]
def Bounded (S T : Set A) : Prop := ∃ n : ℕ, T⊆S^n
lemma bounded_singleton (S : Set A) (h1 : (1:A)∈S) (hi : S⁻¹=S)
(hg : Subgroup.closure S=⊤) (a : A) : Bounded S {a} := by
have ha : a∈Subgroup.closure S := hg.symm ▸ Subgroup.mem_top a
suffices ∃ n, a∈S^n by simpa [Bounded] using this
induction ha using Subgroup.closure_induction with
| mem a ha => exact ⟨1,by simpa using ha⟩
| one => exact ⟨1,by simpa using h1⟩
| mul a b _ _ ha hb =>
obtain ⟨n,hn⟩ := ha; obtain ⟨m,hm⟩ := hb
exact ⟨n+m,by rw [pow_add]; exact Set.mul_mem_mul hn hm⟩
| inv a _ ha =>
obtain ⟨n,hn⟩ := ha
refine ⟨n,?_⟩
rw [←hi,inv_pow]
exact Set.inv_mem_inv.mpr hn
lemma bounded_finite (S : Set A) (h1 : (1:A)∈S) (hi : S⁻¹=S)
(hg : Subgroup.closure S=⊤) {F : Set A} (hf : F.Finite) : Bounded S F := by
have hh : ∀ f∈F, ∃ n, f∈S^n := by
intro f hf
obtain ⟨n,hn⟩ := bounded_singleton S h1 hi hg f
exact ⟨n,hn (Set.mem_singleton _)⟩
choose n hn using hh
let L := hf.toFinset.sup (fun a => if ha : a∈F then n a ha else 0)
refine ⟨L,?_⟩
intro a ha
apply Set.pow_subset_pow_right h1 (show n a ha≤L from ?_) (hn a ha)
have hh := Finset.le_sup (f:=fun a => if ha : a∈F then n a ha else 0) (hf.mem_toFinset.mpr ha)
simpa only [dite_eq_left ha] using hh
lemma Bounded.mono {S T U : Set A} (h : Bounded S T) (hUT : U⊆T) : Bounded S U :=
⟨h.choose,hUT.trans h.choose_spec⟩
lemma Bounded.mul {S T U : Set A} (hT : Bounded S T) (hU : Bounded S U) : Bounded S (T*U) := by
obtain ⟨n,hn⟩ := hT; obtain ⟨m,hm⟩ := hU
exact ⟨n+m,by rw [pow_add]; exact Set.mul_subset_mul hn hm⟩
lemma Bounded.inv {S T : Set A} (hi : S⁻¹=S) (hT : Bounded S T) : Bounded S T⁻¹ := by
obtain ⟨n,hn⟩ := hT
refine ⟨n,?_⟩
rw [←hi,inv_pow]
exact Set.inv_subset_inv.mpr hn
lemma Bounded.union {S T U : Set A} (h1 : (1:A)∈S)
(hT : Bounded S T) (hU : Bounded S U) : Bounded S (T∪U) := by
obtain ⟨n,hn⟩ := hT; obtain ⟨m,hm⟩ := hU
exact ⟨max n m,Set.union_subset (hn.trans (Set.pow_subset_pow_right h1 (le_max_left _ _)))
(hm.trans (Set.pow_subset_pow_right h1 (le_max_right _ _)))⟩
lemma finite_coset_image_iff_cover (K : Subgroup A) (T : Set A) :
((QuotientGroup.mk : A → A ⧸ K) '' T).Finite ↔
∃ F : Set A, F.Finite ∧ T⊆F*(K:Set A) := by
constructor
· intro hf
let Q := (QuotientGroup.mk : A → A ⧸ K) '' T
have hh : ∀ q∈Q, ∃ a∈T, (QuotientGroup.mk a : A ⧸ K)=q := fun q hq => hq
choose a ha he using hh
let F := Set.range (fun q : Q => a q.val q.property)
let : Finite Q := hf.to_subtype
refine ⟨F,Set.finite_range _,?_⟩
intro t ht
let q : Q := ⟨QuotientGroup.mk t,⟨t,ht,rfl⟩⟩
refine ⟨a q.val q.property,⟨q,rfl⟩,(a q.val q.property)⁻¹*t,?_,by simp⟩
exact QuotientGroup.eq.mp (he q.val q.property)
· rintro ⟨F,hF,hcov⟩
apply (hF.image (QuotientGroup.mk : A → A ⧸ K)).subset
rintro _ ⟨t,ht,rfl⟩
obtain ⟨f,hf,k,hk,rfl⟩ := hcov ht
exact ⟨f,hf,QuotientGroup.eq.mpr (by simpa using hk)⟩
lemma bounded_of_finite_coset_image (S : Set A) (K : Subgroup A)
(h1 : (1:A)∈S) (hi : S⁻¹=S) (hg : Subgroup.closure S=⊤) (hK : Bounded S (K:Set A))
(T : Set A) (hf : ((QuotientGroup.mk : A → A ⧸ K) '' T).Finite) : Bounded S T := by
obtain ⟨F,hF,hcov⟩ := (finite_coset_image_iff_cover K T).mp hf
exact ((bounded_finite S h1 hi hg hF).mul hK).mono hcov
lemma finite_coset_image_of_bounded (K : Subgroup A) (S T : Set A)
(hf : ∀ n, (ball K S n).Finite) (hT : Bounded S T) :
((QuotientGroup.mk : A → A ⧸ K) '' T).Finite := by
obtain ⟨n,hn⟩ := hT
exact (hf n).subset (Set.image_mono hn)
lemma HasDegree.bounded_generators {K : Subgroup A} {S T : Set A} {d : ℕ}
(h1 : (1:A)∈S) (hg : HasDegree K S d) (hT : Bounded S T) : HasDegree K T d := by
obtain ⟨L,hL⟩ := hT
have hin (n : ℕ) : T^n⊆S^((L+1)*n) := by
rw [pow_mul]
exact Set.pow_subset_pow_left (hL.trans (Set.pow_subset_pow_right h1 (Nat.le_succ L)))
refine ⟨fun n => (hg.1 _).subset (Set.image_mono (hin n)),?_⟩
obtain ⟨C,hC⟩ := hg.2
refine ⟨C*(2*(L+1))^d,?_⟩
intro R
obtain ⟨r,hr,hbound⟩ := hC ((L+1)*max R 1)
let n := r/(L+1)
have hn : max R 1≤n := (Nat.le_div_iff_mul_le (by omega : 0<L+1)).mpr (by simpa [Nat.mul_comm] using hr)
have hnr : (L+1)*n≤r := by simpa only [n,Nat.mul_comm] using Nat.div_mul_le_self r (L+1)
have hrn : r≤(2*(L+1))*n := by
have hlt := Nat.lt_mul_div_succ r (by omega : 0<L+1)
change r<(L+1)*(n+1) at hlt
have hh : 1≤n := (le_max_right R 1).trans hn
nlinarith
refine ⟨n,(le_max_left R 1).trans hn,?_⟩
calc
_ ≤ (ball K S r).ncard := Set.ncard_le_ncard
(Set.image_mono ((hin n).trans (Set.pow_subset_pow_right h1 hnr))) (hg.1 r)
_ ≤ C*r^d := hbound
_ ≤ C*((2*(L+1))*n)^d := Nat.mul_le_mul_left C (Nat.pow_le_pow_left hrn d)
_ = _ := by rw [mul_pow]; ring
lemma HasDegree.zero_finiteIndex {K : Subgroup A} {S : Set A}
(h1 : (1:A)∈S) (hi : S⁻¹=S) (hgen : Subgroup.closure S=⊤)
(hg : HasDegree K S 0) : K.FiniteIndex := by
obtain ⟨C,hC⟩ := hg.2
obtain ⟨n,hn,hb⟩ := hC C
apply CosetGrowth.finiteIndex_of_small_ball S K h1 hi hgen n (hg.1 n)
exact (by simpa using hb : (ball K S n).ncard≤C).trans hn
end CriticalPercolation.RelativeGrowth
end
end
end OAI