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import OAI.Probability.DirectionalWalk.Widths
namespace OAI
open MeasureTheory ProbabilityTheory Filter Preorder
open scoped ENNReal BigOperators Topology
namespace DirectionalZeroOne
open scoped Classical
def euclideanSite {d : ℕ} (x : Site d) : EuclideanSpace ℝ (Fin d) :=
WithLp.toLp 2 (fun i => (x i : ℝ))
lemma euclideanSite_add {d : ℕ} (x y : Site d) :
euclideanSite (x+y) = euclideanSite x + euclideanSite y := by
ext i
simp [euclideanSite]
lemma euclideanSite_zero {d : ℕ} : euclideanSite (0 : Site d) = 0 := by
ext i
simp [euclideanSite]
lemma euclideanSite_sub {d : ℕ} (x y : Site d) :
euclideanSite (x-y) = euclideanSite x - euclideanSite y := by
ext i
simp [euclideanSite]
noncomputable def slabRadius {d : ℕ} (γ : Word d) : ℝ :=
(Finset.range (γ.1+1)).sup' ⟨0,Finset.mem_range.mpr (Nat.succ_pos _)⟩
(fun j => ‖euclideanSite (wordPath γ j - wordPath γ 0)‖)
lemma norm_wordPath_le_radius {d : ℕ} (γ : Word d) {j : ℕ} (hj : j ≤ γ.1) :
‖euclideanSite (wordPath γ j - wordPath γ 0)‖ ≤ slabRadius γ :=
Finset.le_sup' (fun k => ‖euclideanSite (wordPath γ k - wordPath γ 0)‖)
(Finset.mem_range.mpr (Nat.lt_succ_of_le hj))
lemma slabRadius_nonneg {d : ℕ} (γ : Word d) : 0 ≤ slabRadius γ := by
exact (norm_nonneg _).trans (norm_wordPath_le_radius γ (j := 0) (Nat.zero_le _))
lemma slabs_identDistrib {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ]
(hell : StrictEllipticity μ) (v : Fin d → ℝ) (hv : v ≠ 0)
(hp : 0 < annealed μ 0 (nonBacktracking v)) (k : ℕ) :
IdentDistrib (fun X => slabs v X k) id (conditioned μ v) (slabLaw μ v) := by
refine ⟨((measurable_pi_apply k).comp (measurable_slabs v)).aemeasurable,
measurable_id.aemeasurable,?_⟩
rw [Measure.map_id]
exact slabs_marginal μ hell v hv hp k
lemma slabObservable_strongLaw {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ]
(hell : StrictEllipticity μ) (v : Fin d → ℝ) (hv : v ≠ 0)
(hp : 0 < annealed μ 0 (nonBacktracking v)) (f : Word d → ℝ)
(hf : Integrable f (slabLaw μ v)) :
∀ᵐ X ∂conditioned μ v,
Tendsto (fun n : ℕ => (∑ i ∈ Finset.range n, f (slabs v X i)) / n)
atTop (𝓝 (∫ γ, f γ ∂slabLaw μ v)) := by
have hind := (slabs_iid μ hell v hv hp).comp (fun _ => f)
(fun _ => measurable_of_countable _)
have hid (k : ℕ) := (slabs_identDistrib μ hell v hv hp k).comp
(measurable_of_countable f)
have hfi : Integrable (fun X => f (slabs v X 0)) (conditioned μ v) :=
(hid 0).integrable_iff.mpr hf
have heq : (∫ X, f (slabs v X 0) ∂conditioned μ v) = ∫ γ, f γ ∂slabLaw μ v :=
(hid 0).integral_eq
simpa only [Function.comp_apply, id_eq,heq] using strong_law_ae_real
(fun k X => f (slabs v X k)) hfi (fun i j hij => hind.indepFun hij)
(fun k => (hid k).trans (hid 0).symm)
lemma slabWidth_strongLaw {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ]
(hell : StrictEllipticity μ) (v : Fin d → ℝ) (hv : v ≠ 0)
(hvnorm : ∀ i, |v i| ≤ 1) (hp : 0 < annealed μ 0 (nonBacktracking v)) :
∀ᵐ X ∂conditioned μ v,
Tendsto (fun n : ℕ => (∑ i ∈ Finset.range n, slabWidth v (slabs v X i)) / n)
atTop (𝓝 (∫ γ, slabWidth v γ ∂slabLaw μ v)) :=
slabObservable_strongLaw μ hell v hv hp _ (integrable_slabWidth μ hell v hv hvnorm hp)
lemma slab_initial_average_bound {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ]
(hell : StrictEllipticity μ) (v : Fin d → ℝ) (hv : v ≠ 0)
(hp : 0 < annealed μ 0 (nonBacktracking v)) (f : Word d → ℝ)
(hf : Integrable f (slabLaw μ v)) (hf0 : ∀ γ, 0 ≤ f γ)
(a : ℝ) (ha : 0 < a) (n : ℕ) :
(conditioned μ v).real {X | ∃ k : ℕ, 0 < k ∧ k ≤ n ∧
a * (k : ℝ) < ∑ j ∈ Finset.range k, f (slabs v X j)} ≤
(∫ γ, f γ ∂slabLaw μ v) / a := by
let := conditioned_probability μ v hp
have hid := (slabs_identDistrib μ hell v hv hp 0).comp (measurable_of_countable f)
have hfi : Integrable (fun X => f (firstWord v X)) (conditioned μ v) :=
hid.integrable_iff.mpr hf
have hfe : (∫ X, f (firstWord v X) ∂conditioned μ v) = ∫ γ, f γ ∂slabLaw μ v :=
hid.integral_eq
have hh := stationary_initial_average_bound (conditioned μ v) (cutSuffix v)
(cutSuffix_measurePreserving μ hell v hv hp) (fun X => f (firstWord v X))
((measurable_of_countable f).comp (measurable_firstWord v)) hfi (fun X => hf0 _) a ha n
simpa only [initialAverageBad,slabs,hfe] using hh
noncomputable def slabTime {d : ℕ} (v : Fin d → ℝ) (X : Path d) (k : ℕ) : ℕ :=
∑ i ∈ Finset.range k, (slabs v X i).1
lemma slabTime_zero {d : ℕ} (v : Fin d → ℝ) (X : Path d) : slabTime v X 0 = 0 := by
simp [slabTime]
lemma slabTime_succ {d : ℕ} (v : Fin d → ℝ) (X : Path d) (k : ℕ) :
slabTime v X (k+1) = slabTime v X k + (slabs v X k).1 := by
exact Finset.sum_range_succ _ _
lemma iterated_cutSuffix {d : ℕ} (v : Fin d → ℝ) (X : Path d) (h0 : X 0 = 0)
(k n : ℕ) : (cutSuffix v)^[k] X n = X (slabTime v X k + n) - X (slabTime v X k) := by
induction k generalizing n with
| zero => simp [slabTime_zero,h0]
| succ k ih =>
rw [Function.iterate_succ_apply']
change ((cutSuffix v)^[k] X) (firstCutTime v ((cutSuffix v)^[k] X) + n) +
-((cutSuffix v)^[k] X (firstCutTime v ((cutSuffix v)^[k] X))) = _
rw [ih,ih,slabTime_succ]
change X (slabTime v X k + ((slabs v X k).1+n)) - X (slabTime v X k) +
-(X (slabTime v X k + (slabs v X k).1) - X (slabTime v X k)) = _
rw [← Nat.add_assoc]
abel
lemma slab_word_path {d : ℕ} (v : Fin d → ℝ) (X : Path d) (k : ℕ)
{j : ℕ} (hj : j ≤ (slabs v X k).1) :
wordPath (slabs v X k) j = (cutSuffix v)^[k] X j :=
wordPath_prefixWord _ _ hj
def GoodSlabPath {d : ℕ} (v : Fin d → ℝ) (X : Path d) : Prop :=
X 0 = 0 ∧ ∀ k, RegenerationWord v (slabs v X k)
lemma ae_goodSlabPath {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ]
(hell : StrictEllipticity μ) (v : Fin d → ℝ) (hv : v ≠ 0)
(hp : 0 < annealed μ 0 (nonBacktracking v)) :
∀ᵐ X ∂conditioned μ v, GoodSlabPath v X := by
have h0 := (cond_absolutelyContinuous (s := nonBacktracking v) (μ := annealed μ 0)).ae_le
(ae_start_and_nearestNeighbour μ 0)
have hs : ∀ᵐ X ∂conditioned μ v, ∀ k, RegenerationWord v (slabs v X k) := by
rw [ae_all_iff]
intro k
exact ((cutSuffix_measurePreserving μ hell v hv hp).iterate k).quasiMeasurePreserving.ae
(ae_conditioned_firstWord μ hell v hv hp)
filter_upwards [h0,hs] with X hX hW
exact ⟨hX.1,hW⟩
lemma slabTime_strictMono {d : ℕ} (v : Fin d → ℝ) (X : Path d) (hX : GoodSlabPath v X) :
StrictMono (slabTime v X) := by
apply strictMono_nat_of_lt_succ
intro k
rw [slabTime_succ]
exact Nat.lt_add_of_pos_right (hX.2 k).1
lemma slab_location {d : ℕ} (v : Fin d → ℝ) (X : Path d) (hX : GoodSlabPath v X)
(n : ℕ) : ∃ k, slabTime v X k ≤ n ∧ n < slabTime v X (k+1) := by
have hex : ∃ k, n < slabTime v X (k+1) :=
⟨n,(Nat.lt_succ_self n).trans_le ((slabTime_strictMono v X hX).id_le (n+1))⟩
refine ⟨Nat.find hex,?_,Nat.find_spec hex⟩
by_cases hz : Nat.find hex = 0
· rw [hz,slabTime_zero]
exact Nat.zero_le _
· obtain ⟨j,hj⟩ := Nat.exists_eq_succ_of_ne_zero hz
have hh := Nat.find_min hex (show j < Nat.find hex by omega)
rw [hj]
exact not_lt.mp hh
noncomputable def slabHeightSum {d : ℕ} (v : Fin d → ℝ) (X : Path d) (k : ℕ) : ℝ :=
∑ i ∈ Finset.range k, slabWidth v (slabs v X i)
noncomputable def slabRadiusSum {d : ℕ} (v : Fin d → ℝ) (X : Path d) (k : ℕ) : ℝ :=
∑ i ∈ Finset.range k, slabRadius (slabs v X i)
lemma height_at_slabTime {d : ℕ} (v : Fin d → ℝ) (X : Path d) (h0 : X 0 = 0)
(k : ℕ) : height v (X (slabTime v X k)) = slabHeightSum v X k := by
induction k with
| zero => simp [slabTime_zero,slabHeightSum,h0,height_zero]
| succ k ih =>
have hh := iterated_cutSuffix v X h0 k (slabs v X k).1
rw [← slab_word_path v X k le_rfl,← slabTime_succ] at hh
have hh' := congrArg (height v) hh
rw [height_sub,ih] at hh'
change slabWidth v (slabs v X k) = height v (X (slabTime v X (k+1))) - _ at hh'
rw [slabHeightSum,Finset.sum_range_succ]
change height v (X (slabTime v X (k+1))) = slabHeightSum v X k + _
linarith
lemma norm_at_slabTime_le {d : ℕ} (v : Fin d → ℝ) (X : Path d) (hX : GoodSlabPath v X)
(k : ℕ) : ‖euclideanSite (X (slabTime v X k))‖ ≤ slabRadiusSum v X k := by
induction k with
| zero => simp [slabTime_zero,slabRadiusSum,hX.1,euclideanSite_zero]
| succ k ih =>
have hh := iterated_cutSuffix v X hX.1 k (slabs v X k).1
rw [← slab_word_path v X k le_rfl,← slabTime_succ] at hh
have heq : X (slabTime v X (k+1)) = X (slabTime v X k) + wordPath (slabs v X k) (slabs v X k).1 := by
rw [hh]
abel
rw [heq,euclideanSite_add]
have hb := norm_wordPath_le_radius (slabs v X k) (j := (slabs v X k).1) le_rfl
rw [(hX.2 k).2.1,sub_zero] at hb
rw [slabRadiusSum,Finset.sum_range_succ]
exact (norm_add_le _ _).trans (add_le_add ih hb)
lemma norm_in_slab_le {d : ℕ} (v : Fin d → ℝ) (X : Path d) (hX : GoodSlabPath v X)
(k j : ℕ) (hj : j ≤ (slabs v X k).1) :
‖euclideanSite (X (slabTime v X k + j))‖ ≤ slabRadiusSum v X (k+1) := by
have hh := iterated_cutSuffix v X hX.1 k j
rw [← slab_word_path v X k hj] at hh
have heq : X (slabTime v X k+j) = X (slabTime v X k) + wordPath (slabs v X k) j := by
rw [hh]
abel
rw [heq,euclideanSite_add]
have hb := norm_wordPath_le_radius (slabs v X k) hj
rw [(hX.2 k).2.1,sub_zero] at hb
rw [slabRadiusSum,Finset.sum_range_succ]
exact (norm_add_le _ _).trans (add_le_add (norm_at_slabTime_le v X hX k) hb)
lemma height_in_slab {d : ℕ} (v : Fin d → ℝ) (X : Path d) (hX : GoodSlabPath v X)
(k j : ℕ) (hj : j < (slabs v X k).1) :
slabHeightSum v X k ≤ height v (X (slabTime v X k+j)) ∧
height v (X (slabTime v X k+j)) < slabHeightSum v X (k+1) := by
have hh := congrArg (height v) (iterated_cutSuffix v X hX.1 k j)
rw [← slab_word_path v X k hj.le,height_sub,height_at_slabTime v X hX.1] at hh
have hb := (hX.2 k).2.2.2.1 j hj
have heq : slabHeightSum v X (k+1) = slabHeightSum v X k + slabWidth v (slabs v X k) :=
Finset.sum_range_succ _ _
rw [heq]
change 0 ≤ height v (wordPath (slabs v X k) j) ∧
height v (wordPath (slabs v X k) j) < slabWidth v (slabs v X k) at hb
constructor <;> linarith [hb.1,hb.2]
noncomputable def truncatedMoment {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) (f : Ω → ℝ) (t : ℝ) : ℝ := ∫ x, min (f x) t ∂P
lemma integrable_min_const {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) [IsFiniteMeasure P] (f : Ω → ℝ) (hfm : Measurable f)
(hf : ∀ x, 0 ≤ f x) (t : ℝ) (ht : 0 ≤ t) : Integrable (fun x => min (f x) t) P := by
apply (integrable_const t).mono' (hfm.min measurable_const).aestronglyMeasurable
exact Eventually.of_forall (fun x => by
rw [Real.norm_eq_abs, abs_of_nonneg (le_min (hf x) ht)]
exact min_le_right _ _)
lemma truncatedMoment_nonneg {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) (f : Ω → ℝ) (hf : ∀ x, 0 ≤ f x) {t : ℝ} (ht : 0 ≤ t) :
0 ≤ truncatedMoment P f t := integral_nonneg (fun x => le_min (hf x) ht)
lemma truncatedMoment_mono {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) [IsFiniteMeasure P] (f : Ω → ℝ) (hfm : Measurable f)
(hf : ∀ x, 0 ≤ f x) {s t : ℝ} (hs : 0 ≤ s) (hst : s ≤ t) :
truncatedMoment P f s ≤ truncatedMoment P f t :=
integral_mono (integrable_min_const P f hfm hf s hs)
(integrable_min_const P f hfm hf t (hs.trans hst)) (fun _ => min_le_min_left _ hst)
lemma min_mul_le_mul_min {r t C : ℝ} (hr : 0 ≤ r) (hC : 1 ≤ C) :
min r (C*t) ≤ C * min r t := by
by_cases hrt : r ≤ t
· rw [min_eq_left hrt]
exact (min_le_left _ _).trans (by nlinarith)
· rw [min_eq_right (le_of_not_ge hrt)]
exact min_le_right _ _
lemma truncatedMoment_mul_le {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) [IsFiniteMeasure P] (f : Ω → ℝ) (hfm : Measurable f)
(hf : ∀ x, 0 ≤ f x) {t C : ℝ} (ht : 0 ≤ t) (hC : 1 ≤ C) :
truncatedMoment P f (C*t) ≤ C * truncatedMoment P f t := by
unfold truncatedMoment
rw [← integral_const_mul]
exact integral_mono (integrable_min_const P f hfm hf _ (mul_nonneg (by linarith) ht))
((integrable_min_const P f hfm hf t ht).const_mul C)
(fun x => min_mul_le_mul_min (hf x) hC)
lemma truncatedMoment_sublinear {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) [IsFiniteMeasure P] (f : Ω → ℝ) (hfm : Measurable f)
(hf : ∀ x, 0 ≤ f x) :
Tendsto (fun t : ℝ => truncatedMoment P f t / t) atTop (𝓝 0) := by
have hlim := tendsto_integral_filter_of_dominated_convergence (μ := P)
(F := fun t : ℝ => fun x => min (f x) t / t) (f := fun _ => (0 : ℝ))
(fun _ => (1 : ℝ))
(Eventually.of_forall (fun t => ((hfm.min measurable_const).div_const t).aestronglyMeasurable))
(show ∀ᶠ t : ℝ in atTop, ∀ᵐ x ∂P, ‖min (f x) t / t‖ ≤ (1 : ℝ) from by
filter_upwards [eventually_gt_atTop (0 : ℝ)] with t ht
exact Eventually.of_forall (fun x => by
rw [Real.norm_eq_abs,abs_of_nonneg (div_nonneg (le_min (hf x) ht.le) ht.le)]
exact (div_le_one ht).mpr (min_le_right _ _)))
(integrable_const (1 : ℝ))
(Eventually.of_forall (fun x => by
apply Tendsto.congr' (f₁ := fun t : ℝ => f x / t) ?_
(tendsto_const_nhds.div_atTop tendsto_id)
filter_upwards [eventually_ge_atTop (f x)] with t ht
rw [min_eq_left ht]))
simpa only [integral_div,integral_zero,truncatedMoment] using hlim
lemma integrable_of_truncatedMoment_bounded {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) [IsFiniteMeasure P] (f : Ω → ℝ) (hfm : Measurable f)
(hf : ∀ x, 0 ≤ f x) (B : ℝ)
(hb : ∀ n : ℕ, truncatedMoment P f n ≤ B) : Integrable f P := by
have hlim : Tendsto (fun n : ℕ => ∫⁻ x, ENNReal.ofReal (min (f x) (n : ℝ)) ∂P)
atTop (𝓝 (∫⁻ x, ENNReal.ofReal (f x) ∂P)) := by
apply lintegral_tendsto_of_tendsto_of_monotone
· intro n
exact (hfm.min measurable_const).ennreal_ofReal.aemeasurable
· exact Eventually.of_forall (fun x n m hnm =>
ENNReal.ofReal_le_ofReal (min_le_min_left _ (Nat.cast_le.mpr hnm)))
· exact Eventually.of_forall (fun x => by
apply tendsto_const_nhds.congr'
filter_upwards [(tendsto_natCast_atTop_atTop : Tendsto (fun n : ℕ => (n : ℝ)) atTop atTop)
(eventually_ge_atTop (f x))] with n hn
rw [min_eq_left hn])
have hbound : (∫⁻ x, ENNReal.ofReal (f x) ∂P) ≤ ENNReal.ofReal B := by
apply le_of_tendsto hlim
exact Eventually.of_forall (fun n => by
rw [← ofReal_integral_eq_lintegral_ofReal
(integrable_min_const P f hfm hf (n : ℝ) (Nat.cast_nonneg _))
(Eventually.of_forall (fun x => le_min (hf x) (Nat.cast_nonneg _)))]
exact ENNReal.ofReal_le_ofReal (hb n))
refine ⟨hfm.aestronglyMeasurable, ?_⟩
exact (hasFiniteIntegral_iff_ofReal (Eventually.of_forall hf)).mpr
(hbound.trans_lt ENNReal.ofReal_lt_top)
lemma exists_truncatedMoment_gt {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) [IsFiniteMeasure P] (f : Ω → ℝ) (hfm : Measurable f)
(hf : ∀ x, 0 ≤ f x) (hnot : ¬Integrable f P) (B : ℝ) :
∃ n : ℕ, B < truncatedMoment P f n := by
by_contra h
push Not at h
exact hnot (integrable_of_truncatedMoment_bounded P f hfm hf B h)
lemma truncatedMoment_scaled_sublinear {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) [IsFiniteMeasure P] (f : Ω → ℝ) (hfm : Measurable f)
(hf : ∀ x, 0 ≤ f x) {C : ℝ} (hC : 0 < C) :
Tendsto (fun a : ℝ => truncatedMoment P f (C*a) / a) atTop (𝓝 0) := by
have ht : Tendsto (fun a : ℝ => C*a) atTop atTop := tendsto_id.const_mul_atTop hC
have hh := ((truncatedMoment_sublinear P f hfm hf).comp ht).const_mul C
simp only [mul_zero] at hh
apply hh.congr'
filter_upwards [eventually_gt_atTop (0 : ℝ)] with a ha
dsimp
field_simp
lemma exists_truncation_multiple {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) [IsFiniteMeasure P] (f : Ω → ℝ) (hfm : Measurable f)
(hf : ∀ x, 0 ≤ f x) (hnot : ¬Integrable f P) {a b : ℝ} (ha : 0 < a) :
∃ n : ℕ, 0 < n ∧ b ≤ truncatedMoment P f (a*n) := by
obtain ⟨j,hj⟩ := exists_truncatedMoment_gt P f hfm hf hnot b
obtain ⟨n,hn⟩ := exists_nat_gt ((j : ℝ)/a)
refine ⟨n+1,Nat.succ_pos _,hj.le.trans ?_⟩
apply truncatedMoment_mono P f hfm hf (Nat.cast_nonneg _)
have hh : (j : ℝ) < (n : ℝ)*a := (div_lt_iff₀ ha).mp hn
push_cast
nlinarith
lemma radius_scales {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) [IsFiniteMeasure P] (f : Ω → ℝ) (hfm : Measurable f)
(hf : ∀ x, 0 ≤ f x) (hnot : ¬Integrable f P) {η : ℝ} (hη : 0 < η)
(M : ℕ) {D : ℝ} (hD : 0 < D) :
∀ᶠ a : ℝ in atTop, 0 < a ∧ ∃ N : ℕ, max 2 M ≤ N ∧
η*a ≤ truncatedMoment P f (a*N) ∧ truncatedMoment P f (a*N) < 2*η*a ∧
truncatedMoment P f (D*a) < η*a/4 ∧
∀ m : ℕ, 0 < m → m < N → truncatedMoment P f (a*m) < η*a := by
let K := max 2 M
have hK : (0 : ℝ) < K := by dsimp [K]; exact_mod_cast (lt_of_lt_of_le (by decide : 0 < 2) (le_max_left 2 M))
have hs := (truncatedMoment_scaled_sublinear P f hfm hf hK).eventually
(gt_mem_nhds hη)
have hsmall := (truncatedMoment_scaled_sublinear P f hfm hf hD).eventually
(gt_mem_nhds (show (0 : ℝ) < η/4 by positivity))
filter_upwards [eventually_gt_atTop (0 : ℝ),hs,hsmall] with a ha hs hsmall
obtain hex := exists_truncation_multiple P f hfm hf hnot (b := η*a) ha
let N := Nat.find hex
have hN := Nat.find_spec hex
have hmin : ∀ m : ℕ, 0 < m → m < N → truncatedMoment P f (a*m) < η*a := by
intro m hm hmN
have hh := Nat.find_min hex hmN
exact lt_of_not_ge (fun h => hh ⟨hm,h⟩)
have hKN : K < N := by
by_contra hh
have hNK : N ≤ K := le_of_not_gt hh
have hhN := truncatedMoment_mono P f hfm hf (mul_nonneg ha.le (Nat.cast_nonneg N))
(mul_le_mul_of_nonneg_left (Nat.cast_le.mpr hNK) ha.le)
have hhK : truncatedMoment P f (a*K) < η*a := by
rw [mul_comm a]
exact (div_lt_iff₀ ha).mp hs
exact (not_lt_of_ge hN.2) (hhN.trans_lt hhK)
have hN2 : 2 ≤ N := (le_max_left 2 M).trans hKN.le
have hNm : 0 < N-1 := by omega
have hm := hmin (N-1) hNm (by omega)
have hstep : truncatedMoment P f (a*N) ≤ 2*truncatedMoment P f (a*((N-1 : ℕ) : ℝ)) := by
apply (truncatedMoment_mono P f hfm hf (mul_nonneg ha.le (Nat.cast_nonneg N)) ?_).trans
(truncatedMoment_mul_le P f hfm hf (mul_nonneg ha.le (by positivity)) (by norm_num : (1 : ℝ) ≤ 2))
have hNN : (N : ℝ) ≤ 2*((N-1 : ℕ) : ℝ) := by exact_mod_cast (show N ≤ 2*(N-1) by omega)
nlinarith
refine ⟨ha,N,hKN.le,hN.2,?_,?_,hmin⟩
· nlinarith
· exact (div_lt_iff₀ ha).mp hsmall |>.trans_le (by ring_nf; exact le_rfl)
lemma stationary_truncated_average_bound {Ω : Type*} [MeasurableSpace Ω]
(P : Measure Ω) [IsProbabilityMeasure P] (T : Ω → Ω)
(hT : MeasurePreserving T P P) (f : Ω → ℝ) (hfm : Measurable f)
(hf : ∀ x, 0 ≤ f x) (a : ℝ) (ha : 0 < a) (n : ℕ) (hn : 0 < n) :
P.real (initialAverageBad T f a n) ≤ 2*truncatedMoment P f (a*n)/a := by
classical
let A : ℝ := a*n
have hA : 0 < A := mul_pos ha (Nat.cast_pos.mpr hn)
let g : Ω → ℝ := fun x => min (f x) A
have hgm : Measurable g := hfm.min measurable_const
have hgi : Integrable g P := integrable_min_const P f hfm hf A hA.le
have hg0 : ∀ x, 0 ≤ g x := fun x => le_min (hf x) hA.le
have htail : P.real {x | A < f x} ≤ truncatedMoment P f A / A := by
have hb := mul_meas_ge_le_integral_of_nonneg (Eventually.of_forall hg0) hgi A
have hm : P.real {x | A < f x} ≤ P.real {x | A ≤ g x} := by
refine measureReal_mono ?_ (measure_ne_top _ _)
intro x hx
change A < f x at hx
exact le_min hx.le le_rfl
apply (le_div_iff₀ hA).mpr
calc
P.real {x | A < f x} * A ≤ A * P.real {x | A ≤ g x} := by nlinarith
_ ≤ _ := hb
let B : Set Ω := ⋃ j ∈ Finset.range n, {x | A < f (T^[j] x)}
have hB : P.real B ≤ (n : ℝ)*truncatedMoment P f A/A := by
apply (measureReal_biUnion_finset_le (Finset.range n) _).trans
have heq (j : ℕ) : P.real {x | A < f (T^[j] x)} = P.real {x | A < f x} := by
apply congrArg ENNReal.toReal
exact (hT.iterate j).measure_preimage (measurableSet_lt measurable_const hfm).nullMeasurableSet
simp_rw [heq]
simpa [mul_div_assoc] using mul_le_mul_of_nonneg_left htail (Nat.cast_nonneg n)
have hsub : initialAverageBad T f a n ⊆ initialAverageBad T g a n ∪ B := by
intro x hx
by_cases hb : x ∈ B
· exact Or.inr hb
· left
obtain ⟨k,hk,hkn,hkw⟩ := hx
refine ⟨k,hk,hkn,?_⟩
have heq : ∑ j ∈ Finset.range k, g (T^[j] x) = ∑ j ∈ Finset.range k, f (T^[j] x) := by
apply Finset.sum_congr rfl
intro j hj
apply min_eq_left
by_contra hbad
exact hb (Set.mem_iUnion.mpr ⟨j,Set.mem_iUnion.mpr ⟨Finset.mem_range.mpr
((Finset.mem_range.mp hj).trans_le hkn),lt_of_not_ge hbad⟩⟩)
rwa [heq]
have havg := stationary_initial_average_bound P T hT g hgm hgi hg0 a ha n
calc
P.real (initialAverageBad T f a n) ≤
P.real (initialAverageBad T g a n) + P.real B :=
(measureReal_mono hsub).trans (measureReal_union_le _ _)
_ ≤ truncatedMoment P f A/a + (n : ℝ)*truncatedMoment P f A/A := add_le_add havg hB
_ = 2*truncatedMoment P f (a*n)/a := by dsimp [A]; field_simp; ring
lemma linear_envelope_of_tendsto (s : ℕ → ℝ) {m c C : ℝ}
(hm : Tendsto (fun n : ℕ => s n / n) atTop (𝓝 m)) (hc : c < m) (hC : m < C) :
∃ b : ℝ, 0 ≤ b ∧ ∀ k : ℕ, c*k-b ≤ s k ∧ s k ≤ C*k+b := by
have hh : ∀ᶠ k : ℕ in atTop, 0 < k ∧ c*k ≤ s k ∧ s k ≤ C*k := by
filter_upwards [eventually_gt_atTop (0 : ℕ),hm (Ioo_mem_nhds hc hC)] with k hk hkm
have hk' : (0 : ℝ) < k := Nat.cast_pos.mpr hk
exact ⟨hk,(le_div_iff₀ hk').mp hkm.1.le,(div_le_iff₀ hk').mp hkm.2.le⟩
obtain ⟨K,hK⟩ := eventually_atTop.mp hh
let b : ℝ := ∑ k ∈ Finset.range K, (|c*k-s k|+|s k-C*k|)
have hb : 0 ≤ b := Finset.sum_nonneg (fun _ _ => add_nonneg (abs_nonneg _) (abs_nonneg _))
refine ⟨b,hb,?_⟩
intro k
by_cases hk : K ≤ k
· obtain ⟨_,hl,hu⟩ := hK k hk
constructor <;> linarith
· have hkb : |c*k-s k|+|s k-C*k| ≤ b := by
dsimp [b]
exact Finset.single_le_sum (fun j _ => add_nonneg (abs_nonneg (c*j-s j))
(abs_nonneg (s j-C*j))) (Finset.mem_range.mpr (Nat.lt_of_not_ge hk))
constructor <;> linarith [le_abs_self (c*k-s k),le_abs_self (s k-C*k),
abs_nonneg (c*k-s k),abs_nonneg (s k-C*k)]
end DirectionalZeroOne
end OAI