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import OAI.Probability.FKMaps.SimpleWalk
namespace OAI
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.Histogram
variable {ι : Type*} [Fintype ι]
def cube (δ : ℝ) (a : ι → ℝ) : Set (ι → ℝ) := pi univ (fun i => Ico (a i) (a i+δ))
lemma measurableSet_cube (δ : ℝ) (a : ι → ℝ) : MeasurableSet (cube δ a) :=
MeasurableSet.pi (Set.to_countable _) (fun _ _ => measurableSet_Ico)
lemma volume_cube (δ : ℝ) (a : ι → ℝ) :
volume (cube δ a)=ENNReal.ofReal δ ^ Fintype.card ι := by
rw [cube,volume_pi,Measure.pi_pi]
simp
lemma mem_cube_dist {δ : ℝ} {a x : ι → ℝ} (hδ : 0≤δ) (hx : x∈cube δ a) : dist x a≤δ := by
apply (dist_pi_le_iff hδ).mpr
intro i
have hi := hx i (mem_univ i)
rw [Real.dist_eq]
exact abs_le.mpr ⟨by linarith [hi.1],by linarith [hi.2]⟩
def boxLaw (δ : ℝ) (a : ι → ℝ) : Measure (ι → ℝ) :=
(ENNReal.ofReal δ ^ Fintype.card ι)⁻¹ • volume.restrict (cube δ a)
lemma boxLaw_probability {δ : ℝ} (hδ : 0<δ) (a : ι → ℝ) :
IsProbabilityMeasure (boxLaw δ a) := by
constructor
simp only [boxLaw,Measure.smul_apply,Measure.restrict_apply_univ,smul_eq_mul,volume_cube]
exact ENNReal.inv_mul_cancel (pow_ne_zero _ (ne_of_gt (ENNReal.ofReal_pos.mpr hδ)))
(ENNReal.pow_ne_top ENNReal.ofReal_ne_top)
lemma boxLaw_dist {δ : ℝ} (hδ : 0≤δ) (a : ι → ℝ) :
∀ᵐ x ∂boxLaw δ a, dist x a≤δ := by
apply Measure.ae_smul_measure
filter_upwards [ae_restrict_mem (measurableSet_cube δ a)] with x hx
exact mem_cube_dist hδ hx
lemma boxLaw_withDensity (δ : ℝ) (a : ι → ℝ) :
boxLaw δ a=volume.withDensity ((cube δ a).indicator
(fun _ => (ENNReal.ofReal δ ^ Fintype.card ι)⁻¹)) := by
rw [withDensity_indicator (measurableSet_cube δ a),withDensity_const]
rfl
end FKCRT.Histogram
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.Histogram
variable {ι Ω : Type*} [Fintype ι] [Fintype Ω] [MeasurableSpace Ω]
[MeasurableSingletonClass Ω]
def mixture (μ : Measure Ω) (φ : Ω → ι → ℝ) (δ : ℝ) : Measure (ι → ℝ) :=
∑ ω, μ {ω} • boxLaw δ (φ ω)
lemma mixture_probability (μ : Measure Ω) [IsProbabilityMeasure μ]
(φ : Ω → ι → ℝ) {δ : ℝ} (hδ : 0<δ) :
IsProbabilityMeasure (mixture μ φ δ) := by
have (ω : Ω) : IsProbabilityMeasure (boxLaw δ (φ ω)) := boxLaw_probability hδ (φ ω)
constructor
simp only [mixture,Measure.finsetSum_apply,Measure.smul_apply,smul_eq_mul,
measure_univ,mul_one]
rw [sum_measure_singleton,Finset.coe_univ,measure_univ]
def density (μ : Measure Ω) (φ : Ω → ι → ℝ) (δ : ℝ) (x : ι → ℝ) : ℝ≥0∞ :=
∑ ω,μ {ω} * (cube δ (φ ω)).indicator
(fun _ => (ENNReal.ofReal δ ^ Fintype.card ι)⁻¹) x
omit [MeasurableSingletonClass Ω] in
lemma measurable_density (μ : Measure Ω) (φ : Ω → ι → ℝ) (δ : ℝ) :
Measurable (density μ φ δ) := by
apply Finset.measurable_sum
intro ω hω
exact measurable_const.mul (measurable_const.indicator (measurableSet_cube δ (φ ω)))
omit [MeasurableSingletonClass Ω] in
lemma mixture_withDensity (μ : Measure Ω) (φ : Ω → ι → ℝ) (δ : ℝ) :
mixture μ φ δ=volume.withDensity (density μ φ δ) := by
ext s hs
rw [withDensity_apply _ hs]
simp only [mixture,Measure.finsetSum_apply,density]
have hm (ω : Ω) : Measurable (fun x : ι → ℝ => μ {ω} * (cube δ (φ ω)).indicator
(fun _ => (ENNReal.ofReal δ ^ Fintype.card ι)⁻¹) x) :=
measurable_const.mul (measurable_const.indicator (measurableSet_cube δ (φ ω)))
rw [lintegral_finsetSum _ (fun ω _ => hm ω)]
apply Finset.sum_congr rfl
intro ω _
rw [Measure.smul_apply,smul_eq_mul,boxLaw_withDensity,
withDensity_apply _ hs,lintegral_const_mul _
(measurable_const.indicator (measurableSet_cube δ (φ ω)))]
omit [MeasurableSingletonClass Ω] in
lemma integral_mixture (μ : Measure Ω) [IsProbabilityMeasure μ]
(φ : Ω → ι → ℝ) {δ : ℝ} (hδ : 0<δ) (F : BoundedContinuousFunction (ι → ℝ) ℝ) :
(∫ x,F x ∂mixture μ φ δ)=∑ ω,(μ {ω}).toReal * ∫ x,F x ∂boxLaw δ (φ ω) := by
have (ω : Ω) : IsProbabilityMeasure (boxLaw δ (φ ω)) := boxLaw_probability hδ (φ ω)
have hi (ω : Ω) : Integrable F (μ {ω} • boxLaw δ (φ ω)) := by
exact (F.integrable (boxLaw δ (φ ω))).smul_measure (measure_ne_top _ _)
rw [mixture,integral_finsetSum_measure (fun ω _ => hi ω)]
simp only [integral_smul_measure,smul_eq_mul]
lemma box_integral_lipschitz {δ : ℝ} (hδ : 0<δ) (a : ι → ℝ)
(F : BoundedContinuousFunction (ι → ℝ) ℝ) {L : ℝ≥0} (hF : LipschitzWith L F) :
|(∫ x,F x ∂boxLaw δ a)-F a|≤L*δ := by
have := boxLaw_probability hδ a
have hconst : (∫ x,F a ∂boxLaw δ a)=F a := by simp
rw [← hconst,← integral_sub (F.integrable _) (integrable_const _)]
apply abs_integral_le_integral_abs.trans
calc
(∫ x,|F x-F a| ∂boxLaw δ a) ≤ ∫ x,(L:ℝ)*δ ∂boxLaw δ a := by
apply integral_mono_ae ((F.integrable _).sub (integrable_const _)).abs (integrable_const _)
filter_upwards [boxLaw_dist hδ.le a] with x hx
exact (hF.dist_le_mul x a).trans (mul_le_mul_of_nonneg_left hx L.coe_nonneg)
_ = _ := by simp
lemma integral_mixture_close (μ : Measure Ω) [IsProbabilityMeasure μ]
(φ : Ω → ι → ℝ) {δ : ℝ} (hδ : 0<δ)
(F : BoundedContinuousFunction (ι → ℝ) ℝ) {L : ℝ≥0} (hF : LipschitzWith L F) :
|(∫ x,F x ∂mixture μ φ δ)-(∫ ω,F (φ ω) ∂μ)|≤L*δ := by
have hi : Integrable (fun ω => F (φ ω)) μ := Integrable.of_finite
rw [integral_mixture μ φ hδ F,integral_fintype hi,← Finset.sum_sub_distrib]
calc
_ ≤ ∑ ω,|(μ {ω}).toReal * (∫ x,F x ∂boxLaw δ (φ ω)) - μ.real {ω} • F (φ ω)| :=
Finset.abs_sum_le_sum_abs _ _
_ ≤ ∑ ω,(μ {ω}).toReal*((L:ℝ)*δ) := by
apply Finset.sum_le_sum
intro ω _
rw [smul_eq_mul,measureReal_def,← mul_sub,abs_mul,abs_of_nonneg ENNReal.toReal_nonneg]
exact mul_le_mul_of_nonneg_left (box_integral_lipschitz hδ (φ ω) F hF) ENNReal.toReal_nonneg
_ = _ := by
rw [← Finset.sum_mul,← ENNReal.toReal_sum (fun _ _ => measure_ne_top _ _),
sum_measure_singleton,Finset.coe_univ,measure_univ,ENNReal.toReal_one,one_mul]
end FKCRT.Histogram
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.Histogram
variable {ι Ω : Type*} [Fintype ι] [Fintype Ω] [MeasurableSpace Ω]
[MeasurableSingletonClass Ω]
omit [Fintype ι] in
lemma mem_lattice_cube {δ : ℝ} (hδ : 0<δ) (a : ι → ℕ) {x : ι → ℝ}
(hx : ∀ i,0≤x i) : x∈cube δ (fun i => δ*(a i:ℝ))↔a=fun i => ⌊x i/δ⌋₊ := by
constructor
· intro h
apply funext
intro i
have hi := h i (mem_univ i)
symm
apply (Nat.floor_eq_iff (div_nonneg (hx i) hδ.le)).mpr
constructor
· exact (le_div_iff₀ hδ).mpr (by simpa only [mul_comm] using hi.1)
· apply (div_lt_iff₀ hδ).mpr
simpa only [add_mul,mul_add,one_mul,mul_one,mul_comm] using hi.2
· rintro rfl
intro i _
have hfloor := (Nat.floor_eq_iff (div_nonneg (hx i) hδ.le)).mp (rfl : ⌊x i/δ⌋₊=⌊x i/δ⌋₊)
constructor
· simpa only [mul_comm] using (le_div_iff₀ hδ).mp hfloor.1
· simpa only [add_mul,mul_add,one_mul,mul_one,mul_comm] using (div_lt_iff₀ hδ).mp hfloor.2
lemma density_lattice (μ : Measure Ω) (a : Ω → ι → ℕ) {δ : ℝ} (hδ : 0<δ)
{x : ι → ℝ} (hx : ∀ i,0≤x i) :
density μ (fun ω i => δ*(a ω i:ℝ)) δ x=
μ {ω | a ω=fun i => ⌊x i/δ⌋₊}*(ENNReal.ofReal δ ^ Fintype.card ι)⁻¹ := by
classical
let s : Finset Ω := Finset.univ.filter (fun ω => a ω=fun i => ⌊x i/δ⌋₊)
have hset : (s : Set Ω)={ω | a ω=fun i => ⌊x i/δ⌋₊} := by ext ω; simp [s]
rw [density,← hset,← sum_measure_singleton,Finset.sum_mul]
simp only [s,Finset.sum_filter]
apply Finset.sum_congr rfl
intro ω _
by_cases h : a ω=fun i => ⌊x i/δ⌋₊
· rw [ite_eq_left h,indicator_of_mem ((mem_lattice_cube hδ _ hx).mpr h)]
· rw [ite_eq_right h,indicator_of_notMem (mt (mem_lattice_cube hδ _ hx).mp h),mul_zero]
omit [MeasurableSingletonClass Ω] in
lemma density_lattice_negative (μ : Measure Ω) (a : Ω → ι → ℕ) {δ : ℝ}
(hδ : 0≤δ) {x : ι → ℝ} (hx : ∃ i,x i<0) :
density μ (fun ω i => δ*(a ω i:ℝ)) δ x=0 := by
obtain ⟨i,hi⟩ := hx
apply Finset.sum_eq_zero
intro ω _
have hn : x∉cube δ (fun i => δ*(a ω i:ℝ)) := by
intro h
have hh := (h i (mem_univ i)).1
have hz : 0≤δ*(a ω i:ℝ) := mul_nonneg hδ (Nat.cast_nonneg _)
linarith
rw [indicator_of_notMem hn,mul_zero]
lemma floor_mesh_tendsto {δ : ℕ → ℝ} (hδ : ∀ n,0<δ n)
(hlim : Tendsto δ atTop (𝓝 0)) {x : ℝ} (hx : 0≤x) :
Tendsto (fun n => δ n*(⌊x/δ n⌋₊:ℝ)) atTop (𝓝 x) := by
have hl (n : ℕ) := Nat.floor_le (div_nonneg hx (hδ n).le)
have hu (n : ℕ) := Nat.lt_floor_add_one (x/δ n)
have hlow : Tendsto (fun n => x-δ n) atTop (𝓝 x) := by
simpa only [sub_zero] using tendsto_const_nhds.sub hlim
apply tendsto_of_tendsto_of_tendsto_of_le_of_le hlow tendsto_const_nhds
· intro n
have h := (div_lt_iff₀ (hδ n)).mp (hu n)
nlinarith
· intro n
simpa only [mul_comm] using (le_div_iff₀ (hδ n)).mp (hl n)
end FKCRT.Histogram
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.SimpleWalk
attribute [local instance] Classical.propDecidable
def located : List (ℕ×ℕ) → List (ℕ×ℕ)
| [] => []
| x::xs => x::(located xs).map (fun y => (x.1+y.1,y.2))
def observed {N : ℕ} (a : ℕ) (xs : List (ℕ×ℕ)) (d : Path N) : Prop :=
∀ x∈located xs,(a:ℤ)+pathSum d x.1=x.2
lemma tracePoints_observed (a R : ℕ) (xs : List (ℕ×ℕ)) (d : Path (traceSize R xs)) :
tracePoints a R xs d↔observed a xs d := by
induction xs generalizing a with
| nil => simp [tracePoints,observed,located]
| cons x xs ih =>
obtain ⟨⟨d,e⟩,rfl⟩ := (splitPathAt x.1 (traceSize R xs)).symm.surjective d
simp only [tracePoints,Equiv.apply_symm_apply,ih,observed,located,List.mem_cons,
List.mem_map,forall_eq_or_imp,forall_exists_index,and_imp,forall_apply_eq_imp_iff₂]
change ((a:ℤ)+pathSum d x.1=x.2 ∧
∀ y∈located xs,(x.2:ℤ)+pathSum e y.1=y.2)↔
((a:ℤ)+pathSum (Fin.append d e) x.1=x.2 ∧
∀ y∈located xs,(a:ℤ)+pathSum (Fin.append d e) (x.1+y.1)=y.2)
simp only [pathSum_append_left d e le_rfl,pathSum_append_right]
constructor <;> rintro ⟨hx,hxs⟩ <;> refine ⟨hx,?_⟩ <;> intro y hy
· have h := hxs y hy; linarith
· have h := hxs y hy; linarith
lemma pathMass_firstHit_observed (a R : ℕ) (xs : List (ℕ×ℕ)) :
pathMass (traceSize R xs) (fun d => firstHit a d ∧ observed a xs d)=
traceKilledWeight a R xs := by
rw [← pathMass_traceExcursion]
apply pathMass_congr
intro d
rw [traceExcursion_iff,tracePoints_observed]
lemma traceSize_eq_sum (R : ℕ) (xs : List (ℕ×ℕ)) :
traceSize R xs=(xs.map Prod.fst).sum+R := by
induction xs with
| nil => simp [traceSize]
| cons x xs ih => simp [traceSize,ih,Nat.add_assoc]
lemma pathSum_cast {N M : ℕ} (h : N=M) (d : Path N) (k : ℕ) :
pathSum (fun i : Fin M => d (Fin.cast h.symm i)) k=pathSum d k := by
subst M
rfl
lemma pathMass_cast {N M : ℕ} (h : N=M) (P : Path M → Prop) :
pathMass N (fun d => P (fun i : Fin M => d (Fin.cast h.symm i)))=pathMass M P := by
subst M
rfl
end FKCRT.SimpleWalk
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.SimpleWalk
/-- Even grid time immediately below t, for the odd duration 2n+1. -/
def evenGrid (n : ℕ) (t : ℝ) : ℕ := 2*⌊((2*n+1:ℕ):ℝ)*t/2⌋₊
lemma even_evenGrid (n : ℕ) (t : ℝ) : Even (evenGrid n t) := even_two_mul _
lemma evenGrid_mono (n : ℕ) {s t : ℝ} (h : s≤t) : evenGrid n s≤evenGrid n t := by
unfold evenGrid
exact Nat.mul_le_mul_left _ (Nat.floor_mono (div_le_div_of_nonneg_right
(mul_le_mul_of_nonneg_left h (Nat.cast_nonneg _)) (by norm_num)))
@[simp] lemma evenGrid_zero (n : ℕ) : evenGrid n 0=0 := by simp [evenGrid]
lemma evenGrid_le (n : ℕ) {t : ℝ} (ht : t≤1) : evenGrid n t≤2*n := by
have h : ((2*n+1:ℕ):ℝ)*t/2<(n:ℝ)+1 := by
have he := mul_le_mul_of_nonneg_left ht (Nat.cast_nonneg (2*n+1) : (0:ℝ)≤(2*n+1:ℕ))
push_cast at he ⊢
linarith
have hh : ⌊((2*n+1:ℕ):ℝ)*t/2⌋₊≤n := (Nat.floor_lt' (by omega : n+1≠0)).mpr
(by exact_mod_cast h) |> Nat.le_of_lt_succ
exact Nat.mul_le_mul_left 2 hh
lemma evenGrid_error (n : ℕ) {t : ℝ} (ht : 0≤t) :
0≤((2*n+1:ℕ):ℝ)*t-(evenGrid n t:ℝ) ∧
((2*n+1:ℕ):ℝ)*t-(evenGrid n t:ℝ)<2 := by
have hnonneg : 0≤((2*n+1:ℕ):ℝ)*t/2 := by positivity
have hl := Nat.floor_le hnonneg
have hu := Nat.lt_floor_add_one (((2*n+1:ℕ):ℝ)*t/2)
unfold evenGrid
push_cast at hl hu ⊢
constructor <;> linarith
lemma evenGrid_ratio (t : ℝ) (ht : 0≤t) :
Tendsto (fun n => (evenGrid n t:ℝ)/((2*n+1:ℕ):ℝ)) atTop (𝓝 t) := by
have hN : Tendsto (fun n : ℕ => ((2*n+1:ℕ):ℝ)) atTop atTop :=
tendsto_natCast_atTop_atTop.comp (tendsto_atTop_mono (fun n => by show n≤2*n+1; omega) tendsto_id)
have hzero : Tendsto (fun n => (2:ℝ)/((2*n+1:ℕ):ℝ)) atTop (𝓝 0) :=
tendsto_const_nhds.div_atTop hN
have hl : Tendsto (fun n => t-2/((2*n+1:ℕ):ℝ)) atTop (𝓝 t) := by
simpa using tendsto_const_nhds.sub hzero
apply tendsto_of_tendsto_of_tendsto_of_le_of_le hl tendsto_const_nhds
· intro n
have hpos : 0<((2*n+1:ℕ):ℝ) := by positivity
have he := (evenGrid_error n ht).2
apply (le_div_iff₀ hpos).mpr
rw [sub_mul,div_mul_cancel₀ _ hpos.ne']
linarith
· intro n
exact (div_le_iff₀ (by positivity : 0<((2*n+1:ℕ):ℝ))).mpr
(by have h := (evenGrid_error n ht).1; linarith)
/-- Successive durations at a deterministic increasing list of observation times. -/
def gridDurations {m : ℕ} (u : Fin (m+1) → unitInterval) (n : ℕ) (i : Fin m) : ℕ :=
evenGrid n (u i.succ)-evenGrid n (u i.castSucc)
def gridRemainder {m : ℕ} (u : Fin (m+1) → unitInterval) (n : ℕ) : ℕ :=
2*n-evenGrid n (u (Fin.last m))
lemma gridDurations_even {m : ℕ} (u : Fin (m+1) → unitInterval) (hu : Monotone u)
(n : ℕ) (i : Fin m) : Even (gridDurations u n i) := by
exact (Nat.even_sub (evenGrid_mono n (hu i.castSucc_lt_succ.le))).mpr
(iff_of_true (even_evenGrid n _) (even_evenGrid n _))
lemma gridRemainder_even {m : ℕ} (u : Fin (m+1) → unitInterval) (n : ℕ) :
Even (gridRemainder u n) :=
(Nat.even_sub (evenGrid_le n (u (Fin.last m)).property.2)).mpr
(iff_of_true (even_two_mul n) (even_evenGrid n _))
lemma gridDurations_ratio {m : ℕ} (u : Fin (m+1) → unitInterval) (hu : Monotone u)
(i : Fin m) :
Tendsto (fun n => (gridDurations u n i:ℝ)/((2*n+1:ℕ):ℝ)) atTop
(𝓝 ((u i.succ:ℝ)-(u i.castSucc:ℝ))) := by
have h := (evenGrid_ratio (u i.succ) (u i.succ).property.1).sub
(evenGrid_ratio (u i.castSucc) (u i.castSucc).property.1)
apply h.congr'
exact Filter.Eventually.of_forall (fun n => by
dsimp only [gridDurations]
rw [Nat.cast_sub (evenGrid_mono n (hu i.castSucc_lt_succ.le)),sub_div])
end FKCRT.SimpleWalk
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.SimpleWalk
open TreeCoding
/-- The heat density for one-dimensional standard Brownian motion. -/
def heat (t x : ℝ) : ℝ := Real.exp (-x^2/(2*t))/Real.sqrt (2*Real.pi*t)
lemma heat_pos {t : ℝ} (ht : 0<t) (x : ℝ) : 0<heat t x := by
exact div_pos (Real.exp_pos _) (Real.sqrt_pos.mpr (by positivity))
lemma heat_continuousOn : ContinuousOn (fun tx : ℝ×ℝ => heat tx.1 tx.2) {tx | 0<tx.1} := by
intro tx htx
change 0<tx.1 at htx
unfold heat
have h1 : 2*tx.1≠0 := by positivity
have h2 : Real.sqrt (2*Real.pi*tx.1)≠0 := by positivity
apply ContinuousAt.continuousWithinAt
fun_prop (disch := assumption)
/-- Full span-two uniform local limit, now for the explicitly reflected simple kernel. -/
theorem kernel_uniform_local_limit :
∃ E : ℕ → ℝ, (∀ n,0≤E n) ∧ Tendsto E atTop (𝓝 0) ∧
∀ (N : ℕ), 0<N → ∀ z : ℤ, Even ((N:ℤ)+z) →
|Real.sqrt N*kernel N z-(Real.sqrt (2*Real.pi)/Real.pi)*
Real.exp (-((z:ℝ)/Real.sqrt N)^2/2)|≤E N := by
obtain ⟨E,hE,hEt,h⟩ := binaryOffspring.uniform_local_limit
have hsub : Tendsto (fun n : ℕ => n-1) atTop atTop := by
apply tendsto_atTop.mpr
intro b
exact eventually_atTop.mpr ⟨b+1,fun n hn => by omega⟩
refine ⟨fun N => E (N-1),fun N => hE _,hEt.comp hsub,?_⟩
intro N hN z hz
have hn : N-1+1=N := by omega
have hnR : ((N-1:ℕ):ℝ)+1=(N:ℝ) := by exact_mod_cast hn
simpa only [hn,hnR,binary_kernel,binaryOffspring_sigma,one_mul] using h (N-1) z (by simpa only [hn] using hz)
lemma kernel_local_limit {N : ℕ → ℕ} {z : ℕ → ℤ} {x : ℝ}
(hN : Tendsto N atTop atTop)
(hz : ∀ᶠ n in atTop,Even ((N n:ℤ)+z n))
(hx : Tendsto (fun n => (z n:ℝ)/Real.sqrt (N n:ℝ)) atTop (𝓝 x)) :
Tendsto (fun n => Real.sqrt (N n:ℝ)*kernel (N n) (z n)) atTop
(𝓝 ((Real.sqrt (2*Real.pi)/Real.pi)*Real.exp (-x^2/2))) := by
obtain ⟨E,_hE,hEt,hE⟩ := kernel_uniform_local_limit
have hmodel := ((Real.continuous_exp.tendsto (-x^2/2)).comp ((hx.pow 2).neg.div_const 2)).const_mul
(Real.sqrt (2*Real.pi)/Real.pi)
apply tendsto_of_tendsto_of_tendsto_of_le_of_le'
(show Tendsto (fun n => (Real.sqrt (2*Real.pi)/Real.pi)*
Real.exp (-((z n:ℝ)/Real.sqrt (N n:ℝ))^2/2)-E (N n)) atTop _ by
simpa using hmodel.sub (hEt.comp hN))
(show Tendsto (fun n => (Real.sqrt (2*Real.pi)/Real.pi)*
Real.exp (-((z n:ℝ)/Real.sqrt (N n:ℝ))^2/2)+E (N n)) atTop _ by
simpa using hmodel.add (hEt.comp hN))
· filter_upwards [hz,hN.eventually (eventually_gt_atTop 0)] with n hn hnn
have hh := (abs_le.mp (hE (N n) hnn (z n) hn)).1
linarith
· filter_upwards [hz,hN.eventually (eventually_gt_atTop 0)] with n hn hnn
have hh := (abs_le.mp (hE (N n) hnn (z n) hn)).2
linarith
lemma sqrt_ratio_tendsto {N T : ℕ → ℕ} {t : ℝ}
(hr : Tendsto (fun n => (N n:ℝ)/(T n:ℝ)) atTop (𝓝 t)) :
Tendsto (fun n => Real.sqrt (N n:ℝ)/Real.sqrt (T n:ℝ)) atTop (𝓝 (Real.sqrt t)) := by
simpa only [Function.comp_def,Real.sqrt_div (Nat.cast_nonneg _)] using Real.continuous_sqrt.tendsto t |>.comp hr
/-- Kernel limit at arbitrary macroscopic times and spatial lattice sites. -/
theorem kernel_scaled_limit {N T : ℕ → ℕ} {z : ℕ → ℤ} {t x : ℝ}
(ht : 0<t) (hN : Tendsto N atTop atTop) (hT : Tendsto T atTop atTop)
(hr : Tendsto (fun n => (N n:ℝ)/(T n:ℝ)) atTop (𝓝 t))
(hz : ∀ᶠ n in atTop,Even ((N n:ℤ)+z n))
(hx : Tendsto (fun n => (z n:ℝ)/Real.sqrt (T n:ℝ)) atTop (𝓝 x)) :
Tendsto (fun n => Real.sqrt (T n:ℝ)*kernel (N n) (z n)) atTop (𝓝 (2*heat t x)) := by
have hs := sqrt_ratio_tendsto hr
have ht' : 0<Real.sqrt t := Real.sqrt_pos.mpr ht
have hz' : Tendsto (fun n => (z n:ℝ)/Real.sqrt (N n:ℝ)) atTop (𝓝 (x/Real.sqrt t)) := by
apply (hx.div hs (ne_of_gt ht')).congr'
filter_upwards [hT.eventually (eventually_gt_atTop 0),hN.eventually (eventually_gt_atTop 0)] with n hn hnn
have htp : Real.sqrt (T n:ℝ)≠0 := ne_of_gt (Real.sqrt_pos.mpr (by exact_mod_cast hn))
have hnp : Real.sqrt (N n:ℝ)≠0 := ne_of_gt (Real.sqrt_pos.mpr (by exact_mod_cast hnn))
dsimp only [Pi.div_apply]
field_simp
have hc := (kernel_local_limit hN hz hz').div hs (ne_of_gt ht')
have hm : ((Real.sqrt (2*Real.pi)/Real.pi)*Real.exp (-(x/Real.sqrt t)^2/2))/Real.sqrt t=2*heat t x := by
rw [heat,div_pow,Real.sq_sqrt ht.le,Real.sqrt_mul (by positivity : 0≤2*Real.pi)]
have hpi : Real.sqrt (2*Real.pi)^2=2*Real.pi := Real.sq_sqrt (by positivity)
have hpis : Real.sqrt (2*Real.pi)≠0 := ne_of_gt (Real.sqrt_pos.mpr (by positivity))
have harg : -(x^2/t)/2= -x^2/(2*t) := by ring
rw [harg]
field_simp
nlinarith
rw [hm] at hc
apply hc.congr'
filter_upwards [hN.eventually (eventually_gt_atTop 0),hT.eventually (eventually_gt_atTop 0)] with n hn hnt
have hnp : Real.sqrt (N n:ℝ)≠0 := ne_of_gt (Real.sqrt_pos.mpr (by exact_mod_cast hn))
have htp : Real.sqrt (T n:ℝ)≠0 := ne_of_gt (Real.sqrt_pos.mpr (by exact_mod_cast hnt))
dsimp only [Pi.div_apply]
field_simp
end FKCRT.SimpleWalk
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.SimpleWalk
lemma cast_div_sqrt_tendsto_zero {T : ℕ → ℕ} (hT : Tendsto T atTop atTop) (c : ℝ) :
Tendsto (fun n => c/Real.sqrt (T n:ℝ)) atTop (𝓝 0) :=
tendsto_const_nhds.div_atTop (Real.tendsto_sqrt_atTop.comp (tendsto_natCast_atTop_atTop.comp hT))
/-- The killed heat kernel obtained from the proved discrete reflection principle. -/
def killedHeat (t x y : ℝ) : ℝ := heat t (y-x)-heat t (y+x)
lemma killed_scaled_limit {N T a b : ℕ → ℕ} {t x y : ℝ}
(ht : 0<t) (hN : Tendsto N atTop atTop) (hT : Tendsto T atTop atTop)
(hr : Tendsto (fun n => (N n:ℝ)/(T n:ℝ)) atTop (𝓝 t))
(hz : ∀ᶠ n in atTop,Even ((N n:ℤ)+(b n:ℤ)-a n))
(hx : Tendsto (fun n => (a n:ℝ)/Real.sqrt (T n:ℝ)) atTop (𝓝 x))
(hy : Tendsto (fun n => (b n:ℝ)/Real.sqrt (T n:ℝ)) atTop (𝓝 y)) :
Tendsto (fun n => Real.sqrt (T n:ℝ)*killed (N n) (a n) (b n)) atTop
(𝓝 (2*killedHeat t x y)) := by
have hm : Tendsto (fun n => (((b n:ℤ)-a n:ℤ):ℝ)/Real.sqrt (T n:ℝ)) atTop (𝓝 (y-x)) := by
simpa only [Int.cast_sub,Int.cast_natCast,sub_div] using hy.sub hx
have hp : Tendsto (fun n => (((b n:ℤ)+a n+2:ℤ):ℝ)/Real.sqrt (T n:ℝ)) atTop (𝓝 (y+x)) := by
simpa only [Int.cast_add,Int.cast_ofNat,Int.cast_natCast,add_div,add_zero] using
(hy.add hx).add (cast_div_sqrt_tendsto_zero hT 2)
have hz1 : ∀ᶠ n in atTop, Even ((N n:ℤ)+((b n:ℤ)-a n)) := by
filter_upwards [hz] with n hn; convert hn using 1; ring
have hz2 : ∀ᶠ n in atTop, Even ((N n:ℤ)+((b n:ℤ)+a n+2)) := by
filter_upwards [hz] with n hn
have he : (N n:ℤ)+((b n:ℤ)+a n+2)=((N n:ℤ)+b n-a n)+2*((a n:ℤ)+1) := by ring
rw [he]
exact hn.add (even_two_mul ((a n:ℤ)+1))
have h := (kernel_scaled_limit ht hN hT hr hz1 hm).sub (kernel_scaled_limit ht hN hT hr hz2 hp)
simpa only [killed_reflection,mul_sub,killedHeat] using h
lemma sqrt_div_nat_tendsto_zero {T : ℕ → ℕ} (hT : Tendsto T atTop atTop) :
Tendsto (fun n => Real.sqrt (T n:ℝ)/(T n:ℝ)) atTop (𝓝 0) := by
apply (cast_div_sqrt_tendsto_zero hT 1).congr'
filter_upwards [hT.eventually (eventually_gt_atTop 0)] with n hn
have htp : 0<(T n:ℝ) := by exact_mod_cast hn
have hsp : Real.sqrt (T n:ℝ)≠0 := ne_of_gt (Real.sqrt_pos.mpr htp)
have hs := Real.sq_sqrt htp.le
field_simp
nlinarith
lemma entrance_scaled_limit {N T b : ℕ → ℕ} {t y : ℝ}
(ht : 0<t) (hN : Tendsto N atTop atTop) (hT : Tendsto T atTop atTop)
(hr : Tendsto (fun n => (N n:ℝ)/(T n:ℝ)) atTop (𝓝 t))
(hz : ∀ᶠ n in atTop,Even ((N n:ℤ)+b n))
(hy : Tendsto (fun n => (b n:ℝ)/Real.sqrt (T n:ℝ)) atTop (𝓝 y)) :
Tendsto (fun n => (T n:ℝ)*killed (N n) 0 (b n)) atTop (𝓝 (4*y/t*heat t y)) := by
have hsmall : Tendsto (fun n => (b n:ℝ)/(T n:ℝ)) atTop (𝓝 0) := by
have h := hy.mul (sqrt_div_nat_tendsto_zero hT)
simp only [mul_zero] at h
apply h.congr'
filter_upwards [hT.eventually (eventually_gt_atTop 0)] with n hn
have hs : Real.sqrt (T n:ℝ)≠0 := ne_of_gt (Real.sqrt_pos.mpr (by exact_mod_cast hn))
field_simp
have hnum : Tendsto (fun n => 2*((b n:ℝ)+1)/Real.sqrt (T n:ℝ)) atTop (𝓝 (2*y)) := by
simpa only [add_zero,mul_div_assoc,add_div] using (hy.add (cast_div_sqrt_tendsto_zero hT 1)).const_mul 2
have hden : Tendsto (fun n => ((N n:ℝ)+b n+2)/(T n:ℝ)) atTop (𝓝 t) := by
simpa only [add_div,add_zero] using (hr.add hsmall).add
(tendsto_const_nhds.div_atTop (tendsto_natCast_atTop_atTop.comp hT) :
Tendsto (fun n => (2:ℝ)/(T n:ℝ)) atTop (𝓝 0))
have hk := kernel_scaled_limit ht hN hT hr hz (by simpa only [Int.cast_natCast] using hy)
have h := (hnum.div hden (ne_of_gt ht)).mul hk
have hi : 2*y/t*(2*heat t y)=4*y/t*heat t y := by ring
rw [hi] at h
apply h.congr'
filter_upwards [hT.eventually (eventually_gt_atTop 0)] with n hn
have htp : (T n:ℝ)≠0 := by exact_mod_cast (Nat.ne_of_gt hn)
have hs : Real.sqrt (T n:ℝ)≠0 := ne_of_gt (Real.sqrt_pos.mpr (by exact_mod_cast hn))
have hd : (N n:ℝ)+b n+2≠0 := by positivity
rw [killed_entrance]
dsimp only [Pi.mul_apply,Pi.div_apply]
field_simp
/-- Terminal first-hitting density at macroscopic time. -/
lemma firstHit_scaled_limit {N T b : ℕ → ℕ} {t y : ℝ}
(ht : 0<t) (hN : Tendsto N atTop atTop) (hT : Tendsto T atTop atTop)
(hr : Tendsto (fun n => ((N n:ℝ)+1)/(T n:ℝ)) atTop (𝓝 t))
(hz : ∀ᶠ n in atTop,Even (((N n+1:ℕ):ℤ)+((b n:ℤ)+1)))
(hy : Tendsto (fun n => (b n:ℝ)/Real.sqrt (T n:ℝ)) atTop (𝓝 y)) :
Tendsto (fun n => (T n:ℝ)*pathMass (N n+1) (firstHit (b n))) atTop
(𝓝 (2*y/t*heat t y)) := by
have hN' : Tendsto (fun n => N n+1) atTop atTop := tendsto_atTop_mono (fun n => by omega) hN
have hy' : Tendsto (fun n => (((b n:ℤ)+1:ℤ):ℝ)/Real.sqrt (T n:ℝ)) atTop (𝓝 y) := by
simpa only [Int.cast_add,Int.cast_one,Int.cast_natCast,add_div,add_zero] using
hy.add (cast_div_sqrt_tendsto_zero hT 1)
have hk := kernel_scaled_limit ht hN' hT (by simpa only [Nat.cast_add,Nat.cast_one] using hr) hz hy'
have hnum : Tendsto (fun n => ((b n:ℝ)+1)/Real.sqrt (T n:ℝ)) atTop (𝓝 y) := by
simpa only [Int.cast_add,Int.cast_one,Int.cast_natCast] using hy'
have h := (hnum.div hr (ne_of_gt ht)).mul hk
have hi : y/t*(2*heat t y)=2*y/t*heat t y := by ring
rw [hi] at h
apply h.congr'
filter_upwards [hT.eventually (eventually_gt_atTop 0)] with n hn
have htp : (T n:ℝ)≠0 := by exact_mod_cast (Nat.ne_of_gt hn)
have hs : Real.sqrt (T n:ℝ)≠0 := ne_of_gt (Real.sqrt_pos.mpr (by exact_mod_cast hn))
have hd : (N n:ℝ)+1≠0 := by positivity
rw [firstHit_formula]
dsimp only [Pi.mul_apply,Pi.div_apply]
field_simp
end FKCRT.SimpleWalk
end
end OAI