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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.Harmonic.LazyWalkHilbert
namespace OAI
section
noncomputable section
open Set Function
open scoped Classical Pointwise BigOperators
namespace CriticalPercolation.HarmonicAnalysis.WordGeometry
variable {A : Type*} [Group A] (W : WordGeometry A)
lemma lazyWalk_coordinate (f : RegularHilbert A) (x : A) :
W.lazyWalk f x = (1/2:ℝ)*(f x+
(W.generators.card:ℝ)⁻¹*∑ s∈W.generators, f (s⁻¹*x)) := by
simp only [W.lazyWalk_apply,W.walkAverage_apply,lp.coeFn_smul,lp.coeFn_add,
lp.coeFn_sum,Pi.smul_apply,Pi.add_apply,Finset.sum_apply,regular_apply,smul_eq_mul]
lemma lazyWalk_nonnegative (f : RegularHilbert A) (hf : ∀ x, 0≤f x) :
∀ x, 0≤W.lazyWalk f x := by
intro x
rw [W.lazyWalk_coordinate]
exact mul_nonneg (by norm_num) (add_nonneg (hf x)
(mul_nonneg (by positivity) (Finset.sum_nonneg (fun s _ => hf _))))
lemma lazyWalk_mass (f : RegularHilbert A) (m : ℝ) (hf : HasSum (fun x => f x) m) :
HasSum (fun x => W.lazyWalk f x) m := by
have hs : HasSum (fun x => ∑ s∈W.generators, f (s⁻¹*x))
((W.generators.card:ℝ)*m) := by
simpa only [Finset.sum_const,nsmul_eq_mul,Function.comp_apply,Equiv.coe_mulLeft] using
hasSum_sum (s := W.generators) (fun s _ =>
(Equiv.mulLeft s⁻¹).hasSum_iff.mpr hf)
have hc : (W.generators.card:ℝ)≠0 := by exact_mod_cast W.generators_card_pos.ne'
have hh := HasSum.mul_left (1/2:ℝ) (hf.add (HasSum.mul_left (W.generators.card:ℝ)⁻¹ hs))
have he : (1/2:ℝ)*(m+(W.generators.card:ℝ)⁻¹*((W.generators.card:ℝ)*m))=m := by
field_simp; ring
rw [he] at hh
simpa only [W.lazyWalk_coordinate] using hh
def walkState (n : ℕ) : RegularHilbert A :=
(W.lazyWalk^n) (lp.single 2 (1:A) (1:ℝ))
@[simp] lemma walkState_zero : W.walkState 0=lp.single 2 (1:A) (1:ℝ) := rfl
lemma walkState_succ (n : ℕ) : W.walkState (n+1)=W.lazyWalk (W.walkState n) := by
simp only [walkState,pow_succ',Module.End.mul_apply]
lemma walkState_nonnegative (n : ℕ) : ∀ x, 0≤W.walkState n x := by
induction n with
| zero => intro x; simp only [walkState_zero,lp.single_apply,Pi.single_apply]; split <;> norm_num
| succ n ih => rw [W.walkState_succ]; exact W.lazyWalk_nonnegative _ ih
lemma walkState_mass (n : ℕ) : HasSum (fun x => W.walkState n x) 1 := by
induction n with
| zero =>
simpa only [walkState_zero,lp.single_apply,Pi.single_apply] using hasSum_ite_eq (1:A) (1:ℝ)
| succ n ih => rw [W.walkState_succ]; exact W.lazyWalk_mass _ _ ih
lemma walkState_one_pos (n : ℕ) : 0<W.walkState n 1 := by
induction n with
| zero => simp
| succ n ih =>
rw [W.walkState_succ,W.lazyWalk_coordinate]
have hs : 0≤(W.generators.card:ℝ)⁻¹*∑ s∈W.generators, W.walkState n (s⁻¹*1) := by
apply mul_nonneg (by positivity)
exact Finset.sum_nonneg (fun s _ => W.walkState_nonnegative n _)
positivity
lemma walkState_support (n : ℕ) {x : A} (hx : x∉W.ball n) : W.walkState n x=0 := by
induction n generalizing x with
| zero =>
have hh : x≠1 := by simpa [ball] using hx
simp [hh]
| succ n ih =>
rw [W.walkState_succ,W.lazyWalk_coordinate]
have hxn : x∉W.ball n := fun h => hx (W.ball_mono (by omega) h)
rw [ih hxn]
have hs : (∑ s∈W.generators, W.walkState n (s⁻¹*x))=0 := by
apply Finset.sum_eq_zero
intro s hs
apply ih
intro h
apply hx
change x∈W.generators^(n+1)
rw [pow_succ']
exact Finset.mem_mul.mpr ⟨s,hs,s⁻¹*x,h,mul_inv_cancel_left s x⟩
rw [hs]; ring
lemma walkPower_symmetric (n : ℕ) (f g : RegularHilbert A) :
inner ℝ ((W.lazyWalk^n) f) g=inner ℝ f ((W.lazyWalk^n) g) := by
induction n generalizing f g with
| zero => rfl
| succ n ih =>
calc
_ = inner ℝ ((W.lazyWalk^n) (W.lazyWalk f)) g := by
rw [pow_succ,Module.End.mul_apply]
_ = inner ℝ (W.lazyWalk f) ((W.lazyWalk^n) g) := ih _ _
_ = inner ℝ f (W.lazyWalk ((W.lazyWalk^n) g)) := W.lazyWalk_symmetric _ _
_ = _ := by rw [pow_succ',Module.End.mul_apply]
lemma walkState_double_at_one (n : ℕ) : W.walkState (2*n) 1=‖W.walkState n‖^2 := by
have hh := W.walkPower_symmetric n (lp.single 2 (1:A) (1:ℝ)) (W.walkState n)
rw [lp.inner_single_left] at hh
have he : (W.lazyWalk^n) (W.walkState n)=W.walkState (2*n) := by
simp only [walkState,←Module.End.mul_apply,←pow_add,two_mul]
rw [he] at hh
change inner ℝ (W.walkState n) (W.walkState n) = inner ℝ 1 (W.walkState (2*n) 1) at hh
simpa only [real_inner_self_eq_norm_sq,Real.inner_apply,one_mul] using hh.symm
lemma walkState_norm_sq (n : ℕ) :
‖W.walkState n‖^2=∑ x∈W.ball n, (W.walkState n x)^2 := by
rw [←real_inner_self_eq_norm_sq]
change (∑' x : A, inner ℝ (W.walkState n x) (W.walkState n x))=_
simp only [Real.inner_apply]
rw [tsum_eq_sum (s := W.ball n)]
· apply Finset.sum_congr rfl; intro x _; ring
· intro x hx; rw [W.walkState_support n hx]; simp
lemma walkState_norm_lower (n : ℕ) :
1≤((W.ball n).card:ℝ)*‖W.walkState n‖^2 := by
have hmass : (∑ x∈W.ball n, W.walkState n x)=1 := by
rw [←(W.walkState_mass n).tsum_eq]
exact (tsum_eq_sum (f := fun x => W.walkState n x) (s := W.ball n)
(fun x hx => W.walkState_support n (x := x) hx)).symm
have hcs := Finset.sum_mul_sq_le_sq_mul_sq (W.ball n) (fun _ => (1:ℝ))
(fun x => W.walkState n x)
simpa only [one_mul,hmass,one_pow,Finset.sum_const,nsmul_eq_mul,mul_one,
←W.walkState_norm_sq] using hcs
end CriticalPercolation.HarmonicAnalysis.WordGeometry
end
end
end OAI