roseking's picture
Add lean source and binary files (part 127)
135052a verified
Raw History Blame Contribute Delete
27.7 kB
import Mathlib
import OAI.Probability.SKFluctuations.ComparisonCapTravel
import OAI.Probability.SKFluctuations.InverseConstraintNonempty
namespace OAI
/-! Clock Retain Two. -/
noncomputable section
namespace SKFluctuations.Hierarchy
open MeasureTheory ProbabilityTheory Filter Set
open scoped Topology NNReal
theorem MassOrdered.le_of_mem {a : ℝ} {as : List PositiveMass}
(ha : MassOrdered a as) {b : PositiveMass} (hb : b ∈ as) : a≤b.val := by
induction as generalizing a with
| nil => simp at hb
| cons c cs ih =>
rcases List.mem_cons.mp hb with rfl|hb
· exact ha.2.1
· exact ha.2.1.trans (ih ha.2.2 hb)
theorem partitionSample_at_start (q : ℝ → ℝ) {a : ℝ} (as : List PositiveMass)
(ha : MassOrdered a as) : partitionSample q a as a=q a := by
induction as generalizing a with
| nil => rfl
| cons b bs ih =>
rw [partitionSample_cons]
split_ifs with hab
· rfl
· have he : a=b.val := le_antisymm ha.2.1 (le_of_not_gt hab)
subst a
exact ih ha.2.2
theorem partitionSample_at_node (q : ℝ → ℝ) {a : ℝ} (as : List PositiveMass)
(ha : MassOrdered a as) {u : PositiveMass} (hu : u ∈ as) :
partitionSample q a as u.val=q u.val := by
induction as generalizing a with
| nil => simp at hu
| cons b bs ih =>
rcases List.mem_cons.mp hu with rfl|hu
· rw [partitionSample_cons,ite_eq_right (lt_irrefl _)]
exact partitionSample_at_start q _ ha.2.2
· rw [partitionSample_cons,ite_eq_right (not_lt.mpr (ha.2.2.le_of_mem hu))]
exact ih ha.2.2 hu
def insertMass (u : PositiveMass) (as : List PositiveMass) : List PositiveMass :=
(splitMassPartition u as).1++(splitMassPartition u as).2
theorem insertMass_ordered (u : PositiveMass) (hu : u.val≤1)
(as : List PositiveMass) (ha : MassOrdered 0 as) : MassOrdered 0 (insertMass u as) := by
obtain ⟨h₁,h₂⟩ := splitMassPartition_ordered u hu as ha u.property.le
apply h₁.append_end
simpa only [splitMassPartition_end] using h₂
theorem mem_insertMass_self (u : PositiveMass) (as : List PositiveMass) : u ∈ insertMass u as := by
induction as with
| nil => simp [insertMass,splitMassPartition]
| cons b bs ih =>
unfold insertMass splitMassPartition
split_ifs
· exact List.mem_cons_of_mem _ ih
· simp
theorem mem_insertMass_of_mem (u : PositiveMass) {as : List PositiveMass}
{v : PositiveMass} (hv : v ∈ as) : v ∈ insertMass u as := by
induction as with
| nil => simp at hv
| cons b bs ih =>
unfold insertMass splitMassPartition
split_ifs
· rcases List.mem_cons.mp hv with rfl|hv
· exact List.mem_cons_self
· exact List.mem_cons_of_mem _ (ih hv)
· exact List.mem_cons_of_mem _ hv
theorem insertMass_end (u : PositiveMass) (as : List PositiveMass)
(hu : u.val≤1) (he : partitionEnd 0 as=1) : partitionEnd 0 (insertMass u as)=1 := by
have hgen : ∀ {a : ℝ} (bs : List PositiveMass), a≤u.val → u.val≤partitionEnd a bs →
partitionEnd a (insertMass u bs)=partitionEnd a bs := by
intro a bs
induction bs generalizing a with
| nil =>
intro hau hua
exact le_antisymm hua hau
| cons b bs ih =>
intro hau hue
unfold insertMass splitMassPartition
split_ifs with hbu
· exact ih hbu.le hue
· rfl
exact (hgen as u.property.le (he ▸ hu)).trans he
def twoCutMasses (u v : PositiveMass) (n : ℕ) : List PositiveMass :=
insertMass u (insertMass v (uniformMasses n))
theorem twoCutMasses_ordered (u v : PositiveMass) (hu : u.val≤1) (hv : v.val≤1) (n : ℕ) :
MassOrdered 0 (twoCutMasses u v n) :=
insertMass_ordered u hu _ (insertMass_ordered v hv _ (uniformMasses_ordered n))
theorem twoCutMasses_mesh (u v : PositiveMass) (hu : u.val≤1) (hv : v.val≤1) (n : ℕ) :
PartitionMesh (((n+1:ℕ):ℝ)⁻¹) 0 (twoCutMasses u v n) :=
splitMassPartition_mesh u hu _ (insertMass_ordered v hv _ (uniformMasses_ordered n)) u.property.le
(splitMassPartition_mesh v hv _ (uniformMasses_ordered n) v.property.le (uniformMasses_mesh n))
theorem twoCutMasses_nodes (u v : PositiveMass) (n : ℕ) :
u ∈ twoCutMasses u v n ∧ v ∈ twoCutMasses u v n :=
⟨mem_insertMass_self u _,mem_insertMass_of_mem u (mem_insertMass_self v _)⟩
end SKFluctuations.Hierarchy
namespace SKFluctuations.Hierarchy
open MeasureTheory ProbabilityTheory Filter Set
open scoped Topology NNReal BigOperators
variable {S ι : Type*} [Fintype S] [Nonempty S] [Fintype ι] [Nonempty ι]
attribute [local instance] Classical.propDecidable
theorem retainedMoment_tendsto {w : S → ℝ} (hw : ∀ σ, 0<w σ)
(φ : S → (ι → ℝ) →L[ℝ] ℝ) (D : ι → ℝ) (hD : ∀ i, 0≤D i)
(hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i)
(q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1))
(as : ℕ → List PositiveMass) (h : ℕ → ℝ)
(ho : ∀ n, MassOrdered 0 (as n)) (hm : ∀ n, PartitionMesh (h n) 0 (as n))
(he : ∀ n, partitionEnd 0 (as n)=1) (hh : Tendsto h atTop (𝓝 0))
(u : PositiveMass) (hu : u.val≤1) (hnode : ∀ n, u ∈ as n)
(P : S → S → ℝ) {K : ℝ} (hK : 0≤K) (hP : ∀ σ τ, |P σ τ|≤K) :
Tendsto (fun n => stepPairMoment w φ (q 0) (sampleClockSteps q 0 (as n))
(sampleClockSteps_ordered q _ (ho n)).mem_pos P u.val)
atTop (𝓝 (pathPairMoment w φ q P u.val)) := by
have ht (n : ℕ) : clockCoordinateDistance D
(stepClockFunction (fun i => (q 0 i:ℝ)) (sampleClockSteps q 0 (as n)) u.val)
(fun i => (q u.val i:ℝ))=0 := by
unfold clockCoordinateDistance
simp_rw [sampleClockSteps_function q hq _ (ho n),partitionSample_at_node _ _ (ho n) (hnode n)]
simp
have hl : Tendsto (fun n => stepPathClockDistance D (q 0)
(sampleClockSteps q 0 (as n)) q) atTop (𝓝 0) :=
squeeze_zero (fun _ => stepPathClockDistance_nonneg _ _ _ _) (fun n =>
sample_stepPathClockDistance_le D q hq _ (ho n) (hm n))
(by simpa using hh.mul_const (clockVariationBound D q))
rw [tendsto_iff_norm_sub_tendsto_zero]
simp only [Real.norm_eq_abs]
apply squeeze_zero (fun _ => abs_nonneg _) (fun n => stepPairMoment_path_comparison hw φ D hD hφ
(q 0) _ (sampleClockSteps_ordered q _ (ho n)) q hq P hK hP ⟨u.property,hu⟩)
simp_rw [ht,sampleClockSteps_terminal q hq _ _ (ho _),he]
simpa [clockCoordinateDistance] using (hl.const_mul 2).const_mul (ClockTree.errorJetVariation 2 0 0*K)
theorem retainedMoment_tendsto_all {w : S → ℝ} (hw : ∀ σ, 0<w σ)
(φ : S → (ι → ℝ) →L[ℝ] ℝ)
(q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1))
(as : ℕ → List PositiveMass) (h : ℕ → ℝ)
(ho : ∀ n, MassOrdered 0 (as n)) (hm : ∀ n, PartitionMesh (h n) 0 (as n))
(he : ∀ n, partitionEnd 0 (as n)=1) (hh : Tendsto h atTop (𝓝 0))
(u : PositiveMass) (hu : u.val≤1) (hnode : ∀ n, u ∈ as n) (P : S → S → ℝ) :
Tendsto (fun n => stepPairMoment w φ (q 0) (sampleClockSteps q 0 (as n))
(sampleClockSteps_ordered q _ (ho n)).mem_pos P u.val)
atTop (𝓝 (pathPairMoment w φ q P u.val)) := by
let D : ι → ℝ := fun i => ∑ σ, |φ σ (Pi.single i 1)|
have hD : ∀ i, 0≤D i := by intro i; exact Finset.sum_nonneg fun σ _ => abs_nonneg _
have hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i := by
intro σ i
exact Finset.single_le_sum (fun τ _ => abs_nonneg (φ τ (Pi.single i 1))) (Finset.mem_univ σ)
let K : ℝ := ∑ σ, ∑ τ, |P σ τ|
have hK : 0≤K := by dsimp [K]; positivity
have hP (σ τ : S) : |P σ τ|≤K := by
exact (Finset.single_le_sum (fun ρ _ => abs_nonneg (P σ ρ)) (Finset.mem_univ τ)).trans
(Finset.single_le_sum (fun ρ _ => Finset.sum_nonneg fun η _ => abs_nonneg (P ρ η)) (Finset.mem_univ σ))
exact retainedMoment_tendsto hw φ D hD hφ q hq as h ho hm he hh u hu hnode P hK hP
end SKFluctuations.Hierarchy
namespace SKFluctuations.Hierarchy
open MeasureTheory ProbabilityTheory Filter Set
open scoped Topology NNReal BigOperators
variable {S ι : Type*} [Fintype S] [Nonempty S] [Fintype ι]
theorem rootLevelPairMean_product_monotone {w : S → ℝ} (hw : ∀ σ, 0<w σ)
(φ : S → (ι → ℝ) →L[ℝ] ℝ) (q : ι → ℝ≥0) (A : S → ℝ)
(steps : List (GaussianStep ι)) {a : ℝ} (ha : OrderedSteps a steps) :
Monotone (fun j => rootLevelPairMean w φ q (fun σ τ => A σ*A τ) steps j) := by
intro j k hjk
apply integral_mono
((levelPairMean_smooth hw φ _ steps ha j 0).integrable_zero_shift 0)
((levelPairMean_smooth hw φ _ steps ha k 0).integrable_zero_shift 0)
intro x
exact levelPairMean_product_monotone hw φ A steps ha (0+x) hjk
theorem cumulativePair_product_monotone {w : S → ℝ} (hw : ∀ σ, 0<w σ)
(φ : S → (ι → ℝ) →L[ℝ] ℝ) (as : List PositiveMass)
(ha : MassOrdered 0 as) (q : ℕ → ι → ℝ) (A : S → ℝ) :
Monotone (fun j => cumulativePair w φ as q j (fun σ τ => A σ*A τ)) := by
have he (j : ℕ) : cumulativePair w φ as q j (fun σ τ => A σ*A τ)=
rootLevelPairMean w φ (fun i => (q 0 i).toNNReal) (fun σ τ => A σ*A τ)
(diagonalBoundarySteps as (q 0) (fun k => q (k+1))) j :=
ClockTree.pairDisorder_eq_rootLevelPairMean hw φ as ha q j (fun σ τ => A σ*A τ)
simp_rw [he]
apply rootLevelPairMean_product_monotone hw φ
rw [←clockSteps_cumulative]
exact clockSteps_ordered ha _
omit [Fintype ι] in
theorem splitClockSteps_length_monotone [Fintype ι] (L : List (GaussianStep ι)) :
Monotone (fun u : ℝ => (splitClockSteps u L).1.length) := by
intro u v huv
induction L with
| nil => exact le_rfl
| cons s L ih =>
simp only [splitClockSteps]
split_ifs with hsu hsv hsv
· simpa only [List.length_cons] using Nat.succ_le_succ ih
· exact False.elim (hsv (hsu.trans huv))
· exact Nat.zero_le _
· exact le_rfl
theorem stepPairMoment_product_monotone [Nonempty ι] {w : S → ℝ} (hw : ∀ σ, 0<w σ)
(φ : S → (ι → ℝ) →L[ℝ] ℝ) (q₀ : ι → ℝ≥0)
(L : List (GaussianStep ι)) (ho : OrderedSteps 0 L) (A : S → ℝ) :
Monotone (stepPairMoment w φ q₀ L ho.mem_pos (fun σ τ => A σ*A τ)) := by
intro u v huv
unfold stepPairMoment
rw [massStepFunction_split_index,massStepFunction_split_index]
exact cumulativePair_product_monotone hw φ _ (positiveStepMasses_ordered ho _) _ A
(splitClockSteps_length_monotone L huv)
end SKFluctuations.Hierarchy
namespace SKFluctuations.Hierarchy
open MeasureTheory ProbabilityTheory Filter Set
open scoped Topology NNReal BigOperators
variable {S ι : Type*} [Fintype S] [Nonempty S] [Fintype ι] [Nonempty ι]
theorem pathPairMoment_product_monotone {w : S → ℝ} (hw : ∀ σ, 0<w σ)
(φ : S → (ι → ℝ) →L[ℝ] ℝ)
(q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1))
(A : S → ℝ) : MonotoneOn (pathPairMoment w φ q (fun σ τ => A σ*A τ)) (Ioc (0:ℝ) 1) := by
intro u hu v hv huv
let u' : PositiveMass := ⟨u,hu.1⟩
let v' : PositiveMass := ⟨v,hv.1⟩
let as := twoCutMasses u' v'
have ho (n : ℕ) : MassOrdered 0 (as n) := twoCutMasses_ordered u' v' hu.2 hv.2 n
have hm (n : ℕ) : PartitionMesh (((n+1:ℕ):ℝ)⁻¹) 0 (as n) :=
twoCutMasses_mesh u' v' hu.2 hv.2 n
have he (n : ℕ) : partitionEnd 0 (as n)=1 :=
insertMass_end u' _ hu.2 (insertMass_end v' _ hv.2 (uniformMasses_end n))
have h₁ := retainedMoment_tendsto_all hw φ q hq as _ ho hm he uniformMasses_mesh_tendsto
u' hu.2 (fun n => (twoCutMasses_nodes u' v' n).1) (fun σ τ => A σ*A τ)
have h₂ := retainedMoment_tendsto_all hw φ q hq as _ ho hm he uniformMasses_mesh_tendsto
v' hv.2 (fun n => (twoCutMasses_nodes u' v' n).2) (fun σ τ => A σ*A τ)
exact le_of_tendsto_of_tendsto h₁ h₂ (Filter.Eventually.of_forall fun n =>
stepPairMoment_product_monotone hw φ (q 0) _ (sampleClockSteps_ordered q _ (ho n)) A huv)
end SKFluctuations.Hierarchy
namespace SKFluctuations
open Hierarchy MeasureTheory Filter Set
open scoped Topology NNReal BigOperators
variable {ι : Type*} [Fintype ι] [Nonempty ι]
theorem pathPairMoment_overlap_monotone (n : ℕ) {w : Spin n → ℝ} (hw : ∀ σ, 0<w σ)
(φ : Spin n → (ι → ℝ) →L[ℝ] ℝ) (q : ℝ → ι → ℝ≥0)
(hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) :
MonotoneOn (pathPairMoment w φ q (orderedOverlap n)) (Ioc (0:ℝ) 1) := by
have he : orderedOverlap n = fun σ τ => (1/(n:ℝ))*∑ i, spinValue (σ i)*spinValue (τ i) := by
funext σ τ
unfold orderedOverlap
ring
intro u hu v hv huv
rw [he,pathPairMoment_const_mul hw φ q hq _ _ hu,
pathPairMoment_const_mul hw φ q hq _ _ hv,
pathPairMoment_finsetSum hw φ q hq _ _ hu,pathPairMoment_finsetSum hw φ q hq _ _ hv]
exact mul_le_mul_of_nonneg_left (Finset.sum_le_sum fun i _ =>
pathPairMoment_product_monotone hw φ q hq (fun σ => spinValue (σ i)) hu hv huv) (by positivity)
theorem pathPairMoment_overlap_sq_monotone (n : ℕ) {w : Spin n → ℝ} (hw : ∀ σ, 0<w σ)
(φ : Spin n → (ι → ℝ) →L[ℝ] ℝ) (q : ℝ → ι → ℝ≥0)
(hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) :
MonotoneOn (pathPairMoment w φ q (fun σ τ => (orderedOverlap n σ τ)^2)) (Ioc (0:ℝ) 1) := by
have he : (fun σ τ => (orderedOverlap n σ τ)^2) =
fun σ τ => (1/(n:ℝ)^2)*∑ i, ∑ j,
(spinValue (σ i)*spinValue (σ j))*(spinValue (τ i)*spinValue (τ j)) := by
funext σ τ
unfold orderedOverlap
rw [div_pow,pow_two,Finset.sum_mul_sum,one_div_mul_eq_div]
congr 1
apply Finset.sum_congr rfl
intro i hi
apply Finset.sum_congr rfl
intro j hj
ring
intro u hu v hv huv
rw [he,pathPairMoment_const_mul hw φ q hq _ _ hu,
pathPairMoment_const_mul hw φ q hq _ _ hv,
pathPairMoment_finsetSum hw φ q hq _ _ hu,pathPairMoment_finsetSum hw φ q hq _ _ hv]
apply mul_le_mul_of_nonneg_left _ (by positivity)
apply Finset.sum_le_sum
intro i hi
rw [pathPairMoment_finsetSum hw φ q hq _ _ hu,pathPairMoment_finsetSum hw φ q hq _ _ hv]
exact Finset.sum_le_sum fun j _ => pathPairMoment_product_monotone hw φ q hq
(fun σ => spinValue (σ i)*spinValue (σ j)) hu hv huv
theorem orderedPath_SK_monotone (n : ℕ) (hn : 0<n) (b h : ℝ → ℝ≥0)
(hb : MonotoneOn b (Icc (0:ℝ) 1)) (hh : MonotoneOn h (Icc (0:ℝ) 1)) :
MonotoneOn (orderedPathS n b h) (Ioc (0:ℝ) 1) ∧
MonotoneOn (orderedPathB n b h) (Ioc (0:ℝ) 1) := by
let : NeZero n := ⟨Nat.ne_of_gt hn⟩
exact ⟨pathPairMoment_overlap_monotone n (uniformWeight_pos n) (orderedFeature n)
(orderedPathClock n b h) (orderedPathClock_monotone n hb hh),
pathPairMoment_overlap_sq_monotone n (uniformWeight_pos n) (orderedFeature n)
(orderedPathClock n b h) (orderedPathClock_monotone n hb hh)⟩
end SKFluctuations
namespace SKFluctuations
open MeasureTheory Filter Set Hierarchy
open scoped Topology NNReal
theorem comparison_minimum_future_center {N δ U L E d r₀ u₀ : ℝ}
(hN : 0<N) (hU : 0<U) (hL : 0<L) (hLU : L≤U) (hE : 0<E) (hd : 0≤d)
(hq : 2≤N^δ) (hr₀ : r₀ ∈ Icc (0:ℝ) (1/4)) (hu₀ : u₀ ∈ Icc (0:ℝ) (1/4))
(n : ℕ) (hn : 0<n) (g : ℝ → ℝ) :
let k := comparisonFloor N δ U
let M := comparisonCap N δ U L E d
let _M' := comparisonCapSlope N δ U L E d
let c := k 1
let hr : r₀ ≤ 1 := le_trans hr₀.2 (by norm_num)
let hu : u₀ ∈ Icc (0:ℝ) 1 := ⟨hu₀.1,le_trans hu₀.2 (by norm_num)⟩
let hc : 0<c := comparisonFloor_pos hN hU (by norm_num)
let hk := comparisonFloor_continuousOn (δ:=δ) hN hU hr₀.1
let hkc := fun r (hri : r ∈ Icc r₀ 1) => comparisonFloor_lower_on (δ:=δ) hN hU hr₀.1 hri
let hm := comparisonCap_monotoneOn (δ:=δ) hN hU.le hL hE hd
let hM := comparisonCap_nonneg (δ:=δ) hN hU.le hL hE hd (show (0:ℝ)≤1 by norm_num)
∀ (α : inverseIntegralConstraints r₀ u₀ k M)
(hg : ContDiff ℝ 1 g)
(_hgpos : ∀ r ∈ Icc r₀ 1, 0<g r)
(_hp : ∀ r ∈ Ioc r₀ 1, comparisonLogSlope g r ∈ Icc (0:ℝ) 1)
(b h : ℝ → ℝ)
(_hb : ∀ β : inverseIntegralConstraints r₀ u₀ k M,
MonotoneOn (fun u => b u-omittedExtension hu.2
(constrainedCoefficient hr hc hk hkc hm hM g hg.continuous β) u) (Icc (0:ℝ) 1))
(_hh : ∀ β : inverseIntegralConstraints r₀ u₀ k M,
MonotoneOn (fun u => h u+omittedExtension hu.2
(constrainedCoefficient hr hc hk hkc hm hM (fun r => g r*r)
(hg.continuous.mul continuous_id) β) u) (Icc (0:ℝ) 1))
(_hbn : ∀ β : inverseIntegralConstraints r₀ u₀ k M,
0 ≤ b 0-omittedExtension hu.2 (constrainedCoefficient hr hc hk hkc hm hM g hg.continuous β) 0)
(_hhn : ∀ β : inverseIntegralConstraints r₀ u₀ k M,
0 ≤ h 0+omittedExtension hu.2 (constrainedCoefficient hr hc hk hkc hm hM (fun r => g r*r)
(hg.continuous.mul continuous_id) β) 0)
(_hmin : ∀ β : inverseIntegralConstraints r₀ u₀ k M,
inverseCompensatedPressure hr hu.2 hc hk hkc hm hM g hg.continuous n b h 0 α ≤
inverseCompensatedPressure hr hu.2 hc hk hkc hm hM g hg.continuous n b h 0 β),
let b' := fun u => (b u-omittedExtension hu.2
(constrainedCoefficient hr hc hk hkc hm hM g hg.continuous α) u).toNNReal
let h' := fun u => (h u+omittedExtension hu.2
(constrainedCoefficient hr hc hk hkc hm hM (fun r => g r*r)
(hg.continuous.mul continuous_id) α) u).toNNReal
∀ r ∈ Ioc r₀ 1, ∀ s ∈ Icc r 1,
N^(-δ)*U < α.val.val s-α.val.val r →
orderedPathS n b' h' (α.val.val r)≤
s+(L/N^δ)*Real.log ((1+U)/U) := by
dsimp only
intro α hg hgpos hp b h hb hh hbn hhn hmin
let k := comparisonFloor N δ U
let M := comparisonCap N δ U L E d
let c := k 1
let hr : r₀≤1 := le_trans hr₀.2 (by norm_num)
let hu : u₀≤1 := le_trans hu₀.2 (by norm_num)
let hc : 0<c := comparisonFloor_pos hN hU (by norm_num)
let hk := comparisonFloor_continuousOn (δ:=δ) hN hU hr₀.1
let hkc := fun r (hri : r ∈ Icc r₀ 1) => comparisonFloor_lower_on (δ:=δ) hN hU hr₀.1 hri
let hm := comparisonCap_monotoneOn (δ:=δ) hN hU.le hL hE hd
let hM := comparisonCap_nonneg (δ:=δ) hN hU.le hL hE hd (show (0:ℝ)≤1 by norm_num)
let b' := fun u => (b u-omittedExtension hu
(constrainedCoefficient hr hc hk hkc hm hM g hg.continuous α) u).toNNReal
let h' := fun u => (h u+omittedExtension hu
(constrainedCoefficient hr hc hk hkc hm hM (fun r => g r*r)
(hg.continuous.mul continuous_id) α) u).toNNReal
let S := fun r => orderedPathS n b' h' (α.val.val r)
let B := fun r => orderedPathB n b' h' (α.val.val r)
let J := inverseControlFactor r₀ (fun r => inverseControlWeight α.val.val k M r*
comparisonCapSlope N δ U L E d (α.val.val r))
obtain ⟨H,hH,hD,hbang,hzero⟩ := comparison_minimum_contact_potential hN hU hL hLU hE hd
hq hr₀ hu₀ n hn g α hg (fun r hr => hgpos r ⟨hr.1.le,hr.2⟩) hp b h hb hh hbn hhn hmin
have hα := inverseConstraint_strictMonoOn hc hk hkc α.property
have hαL := inverseIntegralConstraints_lipschitz hm hM α.property
have hαr (r : ℝ) (hri : r ∈ Ioc r₀ 1) : α.val.val r ∈ Ioc (0:ℝ) 1 := by
refine ⟨?_,(α.val.property.1 r).2⟩
have ht := hα ⟨le_rfl,hr⟩ ⟨hri.1.le,hri.2⟩ hri.1
rw [α.property.1] at ht
exact hu₀.1.trans_lt ht
have hb' : MonotoneOn b' (Icc (0:ℝ) 1) :=
fun u hu v hv huv => Real.toNNReal_mono ((hb α) hu hv huv)
have hh' : MonotoneOn h' (Icc (0:ℝ) 1) :=
fun u hu v hv huv => Real.toNNReal_mono ((hh α) hu hv huv)
have hSm : MonotoneOn S (Ioc r₀ 1) := by
intro r hr s hs hrs
exact (orderedPath_SK_monotone n hn b' h' hb' hh').1 (hαr r hr) (hαr s hs)
(α.val.property.2 hrs)
have hbounds (r : ℝ) (hr : r ∈ Ioc r₀ 1) := orderedPath_SK_bounds n hn b' h' hb' hh' (hαr r hr)
have hD' : ∀ᵐ r, r ∈ Icc r₀ 1 → HasDerivAt H
((J r*g r)*comparisonBracket (comparisonLogSlope g r) r (S r) (B r)) r := by
filter_upwards [hD,volume.ae_ne r₀] with r hDr hrne hri
have hrpos : 0<r := hr₀.1.trans_lt (lt_of_le_of_ne hri.1 hrne.symm)
have ht := hDr hri
change HasDerivAt H (J r*radiusComparisonGradient g α.val.val
(orderedPathS n b' h') (orderedPathB n b' h') r) r at ht
rw [comparison_gradient_slope hrpos.ne' (hgpos r hri).ne'] at ht
exact ht.congr_deriv (by dsimp only [S,B,comparisonBracket]; ring)
intro r hr s hs hinc
have hf := potential_future_center_bound hr₀.1 hr hs.1 hs.2 hH
(fun t ht => mul_pos (inverseControlFactor_pos _ _ _) (hgpos t ht)) hD'
(hbang.mono fun t ht hti => (ht hti).1)
(hbang.mono fun t ht hti => (ht hti).2)
(hzero.mono fun t ht hti hh => (ht hti hh).2.1)
(fun t ht => (hp t ht).1) hSm (fun t ht => (hbounds t ht).2.1)
(fun t ht => (hbounds t ht).2.2.1) hαL hα (fun t _ => α.val.property.1 t)
(comparisonCap_continuous N δ U L E d).continuousOn
(fun u hu => (comparisonCap_first_term hN hU hL hE hd hu.1).1)
(comparisonFloor_continuousOn (δ:=δ) hN hU (show (0:ℝ)≤0 by rfl)).integrableOn_Icc
(fun t ht => (comparisonFloor_pos (δ:=δ) hN hU ht.1).le)
((comparisonFloor_total_mass hN hU).trans_lt hinc)
have hcT := comparisonCap_log_travel (δ:=δ) hN hU hL hE hd (show (0:ℝ)≤0 by rfl)
(show (0:ℝ)≤1 by norm_num)
simp only [zero_add] at hcT
exact hf.trans (by linarith)
end SKFluctuations
namespace SKFluctuations
open Set
theorem finite_dyadic_future_cover {x B μ : ℝ} (hx : 0 < x) (hB : 0 < B)
(hμ : 0 < μ) (hμB : 3*B*μ ≤ 1) :
∃ vs : Finset ℝ, (∀ v ∈ vs, 0 < v ∧ 3*B*v ≤ 1) ∧
∀ y : ℝ, x ≤ y → μ ≤ y ∨ ∃ v ∈ vs, v ≤ y ∧ y < 2*v := by
obtain ⟨N,hN⟩ := exists_nat_gt (max 0 (μ/x))
rw [max_eq_right (div_pos hμ hx).le] at hN
classical
let vs := ((Finset.range N).image (fun j : ℕ => (2:ℝ)^j*x)).filter (fun v => 3*B*v ≤ 1)
refine ⟨vs,?_,?_⟩
· intro v hv
obtain ⟨hj,hv⟩ := Finset.mem_filter.mp hv
obtain ⟨j,hj,rfl⟩ := Finset.mem_image.mp hj
exact ⟨by positivity,hv⟩
· intro y hxy
by_cases hmy : μ ≤ y
· exact Or.inl hmy
· right
have hym : y < μ := lt_of_not_ge hmy
have hrat : 1 ≤ y/x := (le_div_iff₀ hx).mpr (by simpa using hxy)
obtain ⟨j,hlo,hhi⟩ := exists_nat_pow_near hrat (show (1:ℝ) < 2 by norm_num)
have hvy : (2:ℝ)^j*x ≤ y := (le_div_iff₀ hx).mp hlo
have hyv : y < 2*((2:ℝ)^j*x) := by
have hh := (div_lt_iff₀ hx).mp hhi
rw [pow_succ] at hh
nlinarith
have hjpow : (j:ℝ) < (2:ℝ)^j := by exact_mod_cast (Nat.lt_two_pow_self (n := j))
have hjN : j < N := by
have hyx : y/x < μ/x := div_lt_div_of_pos_right hym hx
have hh : (j:ℝ) < N := lt_trans (hjpow.trans_le hlo) (hyx.trans hN)
exact_mod_cast hh
refine ⟨(2:ℝ)^j*x,Finset.mem_filter.mpr ⟨Finset.mem_image.mpr ⟨j,Finset.mem_range.mpr hjN,rfl⟩,?_⟩,hvy,hyv⟩
exact (mul_le_mul_of_nonneg_left (hvy.trans hym.le) (by positivity : 0 ≤ 3*B)).trans hμB
theorem future_window_radius_geometry {α : ℝ → ℝ} {x y v B cl cu R a b A : ℝ}
(hx : 0 < x) (hxy : x ≤ y) (hvy : v ≤ y) (hyv : y < 2*v)
(hcl : 0 < cl) (hcu : 0 < cu) (hB : 2 ≤ B) (hA : 1 ≤ A)
(hBA : 2*cu*A ≤ B) (hyR : B*y ≤ cl*R)
(ha : α a=B*v) (hb : α b=2*B*v)
(hregA : cl*a ≤ α a ∧ α a ≤ cu*a)
(hregB : cl*b ≤ α b ∧ α b ≤ cu*b) :
0 < v ∧ A*x ≤ a ∧ a ≤ R ∧ b ≤ (2*cu/cl)*a ∧
cl*a ≤ B*v ∧ B*v ≤ cu*a ∧ y-x < B*v := by
have hv : 0 < v := by linarith
have hB0 : 0 < B := by linarith
have hAx : 0 < A*x := mul_pos (by linarith) hx
have hAv : A*x < 2*A*v := by nlinarith
have hBv : 2*cu*A*v ≤ B*v := mul_le_mul_of_nonneg_right hBA hv.le
rw [ha] at hregA
rw [hb] at hregB
have hAa : A*x ≤ a := by nlinarith
refine ⟨hv,hAa,?_,?_,hregA.1,hregA.2,?_⟩
· have hh := mul_le_mul_of_nonneg_left hvy hB0.le
nlinarith
· rw [div_mul_eq_mul_div]
apply (le_div_iff₀ hcl).mpr
have hh := mul_le_mul_of_nonneg_left hregA.2 (show (0:ℝ) ≤ 2 by norm_num)
nlinarith [hregB.1]
· nlinarith
end SKFluctuations
namespace SKFluctuations
open Set Hierarchy
theorem radius_in_regular_region {α : ℝ → ℝ} {r₀ z a p cl cu : ℝ}
(hα : Monotone α) (ha : a ∈ Icc r₀ 1) (hz : z ∈ Icc r₀ 1)
(heq : α a=p) (hp : cu*z<p)
(hreg : ∀ t ∈ Icc z 1, cl*t≤α t ∧ α t≤cu*t) :
z<a ∧ cl*a≤p ∧ p≤cu*a := by
have hza : z<a := by
by_contra hza
have ham := hα (le_of_not_gt hza)
have hh := (hreg z ⟨le_rfl,hz.2⟩).2
rw [heq] at ham
linarith
refine ⟨hza,?_⟩
simpa only [heq] using hreg a ⟨hza.le,ha.2⟩
theorem constrainedFutureBand_geometry {r₀ u₀ c : ℝ} {k M : ℝ → ℝ}
(hr : r₀≤1) (hc : 0<c) (hk : ContinuousOn k (Icc r₀ 1))
(hkc : ∀ t ∈ Icc r₀ 1, c≤k t)
(hm : MonotoneOn M (Icc (0:ℝ) 1)) (hM : 0≤M 1)
(α : inverseIntegralConstraints r₀ u₀ k M)
(p q t : Icc u₀ 1) {v B z cl cu : ℝ}
(hv : 0<v) (hB : 0<B) (hcl : 0<cl) (hcu : 0<cu)
(hp : p.val=B*v) (hq : q.val=2*B*v) (ht : t.val=3*B*v)
(hz : z ∈ Icc r₀ 1) (hstart : cu*z<B*v)
(hreg : ∀ r ∈ Icc z 1, cl*r≤α.val.val r ∧ α.val.val r≤cu*r) :
let a := (constrainedQuantile hr hc hk hkc hm hM α p).val
let ab := (constrainedQuantile hr hc hk hkc hm hM α q).val
let ac := (constrainedQuantile hr hc hk hkc hm hM α t).val
z<a ∧ a<ab ∧ ab<ac ∧ ac≤(3*B/cl)*v ∧
ab≤(2*cu/cl)*a ∧ cl*a≤q.val-p.val ∧ q.val-p.val≤cu*a := by
dsimp only
let Q := constrainedQuantile hr hc hk hkc hm hM α
have hQa : α.val.val (Q p)=p.val := constrainedQuantile_spec hr hc hk hkc hm hM α p
have hQb : α.val.val (Q q)=q.val := constrainedQuantile_spec hr hc hk hkc hm hM α q
have hQc : α.val.val (Q t)=t.val := constrainedQuantile_spec hr hc hk hkc hm hM α t
have hrA := radius_in_regular_region α.val.property.2 (Q p).property hz hQa
(by rwa [hp]) hreg
have hrB := radius_in_regular_region α.val.property.2 (Q q).property hz hQb
(by rw [hq]; nlinarith [mul_pos hB hv]) hreg
have hrC := radius_in_regular_region α.val.property.2 (Q t).property hz hQc
(by rw [ht]; nlinarith [mul_pos hB hv]) hreg
have hpq : p<q := by change p.val<q.val; rw [hp,hq]; nlinarith [mul_pos hB hv]
have hqt : q<t := by change q.val<t.val; rw [hq,ht]; nlinarith [mul_pos hB hv]
have hmono : StrictMono Q := (inverseConstraintOrderIso hr hc hk hkc hm hM α).symm.strictMono
refine ⟨hrA.1,hmono hpq,hmono hqt,?_,?_,?_,?_⟩
· have hh := hrC.2.1
rw [ht] at hh
have hb : (Q t).val≤3*B*v/cl := (le_div_iff₀ hcl).mpr (by nlinarith)
convert hb using 1
ring
· have ha := hrA.2.2
have hb := hrB.2.1
rw [hp] at ha
rw [hq] at hb
have ha' : B*v/cu ≤ (Q p).val := (div_le_iff₀ hcu).mpr (by nlinarith)
calc
(Q q).val ≤ 2*B*v/cl := (le_div_iff₀ hcl).mpr (by nlinarith)
_ = (2*cu/cl)*(B*v/cu) := by
field_simp
_ ≤ (2*cu/cl)*(Q p).val := mul_le_mul_of_nonneg_left ha' (by positivity)
· have hh := hrA.2.1
rw [hp,hq] at *
linarith
· have hh := hrA.2.2
rw [hp,hq] at *
linarith
end SKFluctuations
end
end OAI