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import Mathlib
import OAI.MeasureTheory.Falconer.Model
import OAI.MeasureTheory.Falconer.Recursion.Ledger
import OAI.MeasureTheory.Falconer.Recursion.PolicyDescriptors
import OAI.MeasureTheory.FalconerCompletion.Estimates.TreeCenter2
import OAI.MeasureTheory.FalconerCompletion.Graphs.GraphPerp2
namespace OAI
/-! Recursive policies and quantitative depth estimates. -/
open _root_.OAI.PlanarFalconer
section
section
open Set MeasureTheory
open scoped ComplexConjugate RealInnerProductSpace
namespace GraphLiteralSupport
namespace CurrentFalconer.TreeND
open Set Metric MeasureTheory PlanarFalconer
open scoped ENNReal RealInnerProductSpace
variable {d : ℕ}
noncomputable def classConditional (ρ : Measure (EuclideanSpace ℝ (Fin d)))
(P : CellPath d) : Measure (EuclideanSpace ℝ (Fin d)) :=
(ρ (treeCell P)).toNNReal⁻¹ • ρ.restrict (treeCell P)
instance classConditional_finite (ρ : Measure (EuclideanSpace ℝ (Fin d)))
[IsFiniteMeasure ρ] (P : CellPath d) : IsFiniteMeasure (classConditional ρ P) := by
unfold classConditional
infer_instance
lemma classConditional_probability (ρ : Measure (EuclideanSpace ℝ (Fin d)))
[IsFiniteMeasure ρ] (P : CellPath d) (hP : 0 < ρ (treeCell P)) :
IsProbabilityMeasure (classConditional ρ P) := by
constructor
simp only [classConditional, Measure.smul_apply, ENNReal.smul_def,
smul_eq_mul, Measure.restrict_apply_univ]
rw [ENNReal.coe_inv (ENNReal.toNNReal_ne_zero.mpr ⟨ne_of_gt hP,measure_ne_top ρ _⟩),
ENNReal.coe_toNNReal (measure_ne_top ρ _),
ENNReal.inv_mul_cancel (ne_of_gt hP) (measure_ne_top ρ _)]
noncomputable def adjustedProfile (m : ℝ → ℝ) (N : ℕ) (n : ℕ) : ℝ :=
m n-(d:ℝ)/2*(n:ℝ)/N
noncomputable def testWidth (N J i n : ℕ) (sig : ℝ) : ℝ :=
(2-(i:ℝ)/J)*(2:ℝ)^(-(n:ℝ))*((2:ℝ)^N)^(500*sig)
noncomputable def fullParallelCount (ρ : Measure (EuclideanSpace ℝ (Fin d)))
(g p : ℕ) (P : CellPath d) (W : ℝ) (w : EuclideanSpace ℝ (Fin d)) : ℕ :=
((dyadicPaths p).filter fun Q => 0 < ρ (treeCell Q) ∧
dist (treeCenter Q) (treeCenter P) < 10*(d+1)/(2:ℝ)^g ∧
‖graphPerpND w (treeCenter Q-treeCenter P)‖ ≤ W).card
lemma fullParallelCount_actual_line (ρ : Measure (EuclideanSpace ℝ (Fin d)))
(g p : ℕ) (P : CellPath d) (W : ℝ) (w : EuclideanSpace ℝ (Fin d)) (hw : ‖w‖=1) :
fullParallelCount ρ g p P W w =
((dyadicPaths p).filter fun Q => 0 < ρ (treeCell Q) ∧
dist (treeCenter Q) (treeCenter P) < 10*(d+1)/(2:ℝ)^g ∧
infDist (treeCenter Q) (graphAffineLineND w (treeCenter P)) ≤ W).card := by
simp only [fullParallelCount,infDist_graphAffineLineND w _ _ hw]
lemma measurable_fullParallelCount (ρ : Measure (EuclideanSpace ℝ (Fin d)))
(g p : ℕ) (P : CellPath d) (W : ℝ) : Measurable (fullParallelCount ρ g p P W) := by
classical
have he : fullParallelCount ρ g p P W = fun w =>
∑ Q ∈ dyadicPaths p, if 0 < ρ (treeCell Q) ∧
dist (treeCenter Q) (treeCenter P) < 10*(d+1)/(2:ℝ)^g ∧
‖graphPerpND w (treeCenter Q-treeCenter P)‖ ≤ W then (1:ℕ) else 0 := by
funext w
simp only [fullParallelCount,Finset.card_filter]
rw [he]
apply Finset.measurable_sum
intro Q hQ
apply Measurable.ite _ measurable_const measurable_const
unfold graphPerpND
by_cases h₁ : 0 < ρ (treeCell Q)
· by_cases h₂ : dist (treeCenter Q) (treeCenter P) < 10*(d+1)/(2:ℝ)^g
· simp only [h₁,h₂,true_and]
exact measurableSet_le (by fun_prop) measurable_const
· simp [h₂]
· simp [h₁]
noncomputable def fullProjectionCollision (ρ : Measure (EuclideanSpace ℝ (Fin d)))
(P : CellPath d) (W : ℝ) (w : EuclideanSpace ℝ (Fin d)) : ℝ≥0∞ :=
((classConditional ρ P).prod (classConditional ρ P))
{xy | |inner ℝ (xy.1-xy.2) w| ≤ W}
lemma measurable_fullProjectionCollision (ρ : Measure (EuclideanSpace ℝ (Fin d)))
[IsFiniteMeasure ρ] (P : CellPath d) (W : ℝ) :
Measurable (fullProjectionCollision ρ P W) := by
exact measurable_measure_prodMk_left (show MeasurableSet
{z : EuclideanSpace ℝ (Fin d) × (EuclideanSpace ℝ (Fin d) × EuclideanSpace ℝ (Fin d)) |
|inner ℝ (z.2.1-z.2.2) z.1| ≤ W} from by measurability)
noncomputable def descriptorGood (ρ : Measure (EuclideanSpace ℝ (Fin d)))
(m : ℝ → ℝ) (N : ℕ) (sig C : ℝ) (J i : ℕ) (P : CellPath d) :
PolicyDescriptor → Set (EuclideanSpace ℝ (Fin d))
| .parallel g p => {w | ‖w‖=1 ∧
(fullParallelCount ρ g p P (testWidth N J i p sig) w:ℝ) ≤
((2:ℝ)^N)^(height (adjustedProfile (d := d) m N) g p+C*sig)}
| .projection p t => {w | ‖w‖=1 ∧
fullProjectionCollision ρ P (testWidth N J i t sig) w ≤
ENNReal.ofReal ((2:ℝ)^(-((t:ℝ)-p))*
((2:ℝ)^N)^((adjustedProfile (d := d) m N) p-
intervalMin (adjustedProfile (d := d) m N) p t+C*sig))}
lemma measurable_descriptorGood (ρ : Measure (EuclideanSpace ℝ (Fin d)))
[IsFiniteMeasure ρ] (m : ℝ → ℝ) (N : ℕ) (sig C : ℝ) (J i : ℕ)
(P : CellPath d) (b : PolicyDescriptor) :
MeasurableSet (descriptorGood ρ m N sig C J i P b) := by
cases b with
| parallel g p =>
exact (measurableSet_eq_fun (by fun_prop) measurable_const).inter
(measurableSet_le ((measurable_of_countable (fun a : ℕ => (a:ℝ))).comp
(measurable_fullParallelCount ρ g p P _)) measurable_const)
| projection p t =>
exact (measurableSet_eq_fun (by fun_prop) measurable_const).inter
(measurableSet_le (measurable_fullProjectionCollision ρ P _) measurable_const)
noncomputable def radialVector (x y : EuclideanSpace ℝ (Fin d)) := ‖x-y‖⁻¹ • (x-y)
lemma norm_radialVector {x y : EuclideanSpace ℝ (Fin d)} (hxy : x ≠ y) :
‖radialVector x y‖=1 := by
rw [radialVector,norm_smul,Real.norm_eq_abs,abs_inv,abs_norm,
inv_mul_cancel₀ (norm_ne_zero_iff.mpr (sub_ne_zero.mpr hxy))]
@[fun_prop] lemma measurable_radialVector : Measurable
(fun z : EuclideanSpace ℝ (Fin d) × EuclideanSpace ℝ (Fin d) => radialVector z.1 z.2) := by
unfold radialVector
fun_prop
noncomputable def endpointGood (ρ : Measure (EuclideanSpace ℝ (Fin d)))
(m : ℝ → ℝ) (N : ℕ) (sig C : ℝ) (J i : ℕ) (b : PolicyDescriptor) :
Set (EuclideanSpace ℝ (Fin d) × EuclideanSpace ℝ (Fin d)) :=
{z | ∀ P ∈ dyadicPaths (descriptorAnchor b), z.1 ∈ treeCell P →
z.2 ∈ descriptorGood ρ m N sig C J i P b}
lemma measurable_endpointGood (ρ : Measure (EuclideanSpace ℝ (Fin d)))
[IsFiniteMeasure ρ] (m : ℝ → ℝ) (N : ℕ) (sig C : ℝ) (J i : ℕ) (b : PolicyDescriptor) :
MeasurableSet (endpointGood ρ m N sig C J i b) := by
simp only [endpointGood,ofPred_forall]
apply MeasurableSet.iInter
intro P
apply MeasurableSet.iInter
intro hP
exact ((measurableSet_treeCell P).preimage measurable_fst).himp
((measurable_descriptorGood ρ m N sig C J i P b).preimage measurable_snd)
noncomputable def distanceGood (ρ : Measure (EuclideanSpace ℝ (Fin d)))
(m : ℝ → ℝ) (N q a t : ℕ) (sig C : ℝ) (J i : ℕ) :
Set (EuclideanSpace ℝ (Fin d) × EuclideanSpace ℝ (Fin d)) :=
{z | ∀ b ∈ policyDescriptorList (adjustedProfile (d := d) m N) N q a t,
(z.1,radialVector z.1 z.2) ∈ endpointGood ρ m N sig C J i b ∧
(z.2,radialVector z.1 z.2) ∈ endpointGood ρ m N sig C J i b}
lemma measurable_distanceGood (ρ : Measure (EuclideanSpace ℝ (Fin d)))
[IsFiniteMeasure ρ] (m : ℝ → ℝ) (N q a t : ℕ) (sig C : ℝ) (J i : ℕ) :
MeasurableSet (distanceGood ρ m N q a t sig C J i) := by
simp only [distanceGood,ofPred_forall]
apply Finset.measurableSet_biInter
intro b hb
exact ((measurable_endpointGood ρ m N sig C J i b).preimage
(measurable_fst.prodMk measurable_radialVector)).inter
((measurable_endpointGood ρ m N sig C J i b).preimage
(measurable_snd.prodMk measurable_radialVector))
structure PositiveDistanceState (d : ℕ) where
ρ : Measure (EuclideanSpace ℝ (Fin d))
mass : ℝ → ℝ
(N q a t J i : ℕ)
(sig C : ℝ)
(X Y : CellPath d)
namespace PositiveDistanceState
variable (e : PositiveDistanceState d)
noncomputable def good := distanceGood e.ρ e.mass e.N e.q e.a e.t e.sig e.C e.J e.i
noncomputable def cellPair := (e.ρ.restrict (treeCell e.X)).prod (e.ρ.restrict (treeCell e.Y))
noncomputable def pair := e.cellPair.restrict e.good
noncomputable def distance : Measure ℝ := Measure.map (fun z => dist z.1 z.2) e.pair
noncomputable def levelMass : ℝ := ((2:ℝ)^e.N)^(-e.mass e.a)
noncomputable def normalization : ℝ≥0∞ := ENNReal.ofReal ((2:ℝ)^((e.t:ℝ)-e.a)/e.levelMass^4)
noncomputable def width : ℝ := (2:ℝ)^(-(e.t:ℝ))
noncomputable def coincidence : ℝ≥0∞ := e.normalization*(e.pair.prod e.pair)
{z | |dist z.1.1 z.1.2-dist z.2.1 z.2.2| ≤ 100*(d+1)*e.width}
instance cellPair_finite [IsFiniteMeasure e.ρ] : IsFiniteMeasure e.cellPair := by
unfold cellPair; infer_instance
instance pair_finite [IsFiniteMeasure e.ρ] : IsFiniteMeasure e.pair := by
unfold pair; infer_instance
instance distance_finite [IsFiniteMeasure e.ρ] : IsFiniteMeasure e.distance := by
unfold distance; infer_instance
lemma measurable_good [IsFiniteMeasure e.ρ] : MeasurableSet e.good :=
measurable_distanceGood _ _ _ _ _ _ _ _ _ _
lemma distance_apply [IsFiniteMeasure e.ρ] {S : Set ℝ} (hS : MeasurableSet S) :
e.distance S = e.cellPair {z | dist z.1 z.2 ∈ S ∧ z ∈ e.good} := by
rw [distance,Measure.map_apply (continuous_fst.dist continuous_snd).measurable hS,
pair,Measure.restrict_apply ((continuous_fst.dist continuous_snd).measurable hS)]
rfl
lemma distance_collision [IsFiniteMeasure e.ρ] (w : ℝ) :
(e.distance.prod e.distance) {z : ℝ × ℝ | |z.1-z.2| ≤ w} =
(e.pair.prod e.pair) {z | |dist z.1.1 z.1.2-dist z.2.1 z.2.2| ≤ w} := by
rw [distance,Measure.map_prod_map _ _ (continuous_fst.dist continuous_snd).measurable
(continuous_fst.dist continuous_snd).measurable,
Measure.map_apply (by fun_prop) (by measurability)]
rfl
lemma coincidence_four_point [IsFiniteMeasure e.ρ] :
e.coincidence = e.normalization*(e.cellPair.prod e.cellPair)
{z | |dist z.1.1 z.1.2-dist z.2.1 z.2.2| ≤ 100*(d+1)*e.width ∧
z.1 ∈ e.good ∧ z.2 ∈ e.good} := by
rw [coincidence,pair,Measure.prod_restrict,Measure.restrict_apply (by measurability)]
rfl
lemma coincidence_ne_top [IsFiniteMeasure e.ρ] : e.coincidence ≠ ⊤ :=
ENNReal.mul_ne_top ENNReal.ofReal_ne_top (measure_ne_top _ _)
end PositiveDistanceState
end CurrentFalconer.TreeND
end GraphLiteralSupport
end
end
section
section
open Set MeasureTheory
open scoped ComplexConjugate RealInnerProductSpace
namespace GraphLiteralSupport
namespace CurrentFalconer.TreeND
open Set MeasureTheory
open scoped ENNReal
variable {d : ℕ}
lemma RegularizedProfileData.normalized_cell_mass_le
{ρ : Measure (EuclideanSpace ℝ (Fin d))} {N B : ℕ} {s lam : ℝ} {m : ℝ → ℝ}
(hd : RegularizedProfileData ρ N B s lam m) {a : ℕ} (ha : a ≤ N)
{P : CellPath d} (hP : P.length = a) :
(ρ (treeCell P)).toReal/((2:ℝ)^N)^(-m a) ≤ ((2:ℝ)^N)^((d+1:ℝ)*lam) := by
apply (div_le_iff₀ (Real.rpow_pos_of_pos (by positivity) _)).mpr
by_cases hp : 0 < ρ (treeCell P)
· exact (hd.cells a ha P hP hp).2
· have hz : ρ (treeCell P) = 0 := le_antisymm (le_of_not_gt hp) bot_le
rw [hz,ENNReal.toReal_zero]
positivity
namespace PositiveDistanceState
variable (e : PositiveDistanceState d)
lemma normalized_cellPair_mass [IsFiniteMeasure e.ρ] :
e.levelMass^(-2:ℤ)*e.cellPair.real univ =
((e.ρ (treeCell e.X)).toReal/e.levelMass)*
((e.ρ (treeCell e.Y)).toReal/e.levelMass) := by
have hp : e.cellPair univ = e.ρ (treeCell e.X)*e.ρ (treeCell e.Y) := by
unfold cellPair
rw [← univ_prod_univ,Measure.prod_prod,Measure.restrict_apply_univ,
Measure.restrict_apply_univ]
rw [measureReal_def,hp,ENNReal.toReal_mul]
simp only [zpow_neg,zpow_ofNat,div_eq_mul_inv]
ring
lemma normalized_cellPair_profile_mass {B : ℕ} {s lam : ℝ}
(hd : RegularizedProfileData e.ρ e.N B s lam e.mass)
(ha : e.a ≤ e.N) (hX : e.X.length=e.a) (hY : e.Y.length=e.a) :
e.levelMass^(-2:ℤ)*e.cellPair.real univ ≤ ((2:ℝ)^e.N)^(2*(d+1:ℝ)*lam) := by
let := hd.probability
rw [e.normalized_cellPair_mass]
have h := mul_le_mul (hd.normalized_cell_mass_le ha hX)
(hd.normalized_cell_mass_le ha hY) (by positivity) (by positivity)
rw [← Real.rpow_add (by positivity : 0 < (2:ℝ)^e.N)] at h
convert h using 1 <;> congr 1
ring
lemma coincidence_trivial_profile_bound {B : ℕ} {s lam : ℝ}
(hd : RegularizedProfileData e.ρ e.N B s lam e.mass)
(ha : e.a ≤ e.N) (hX : e.X.length=e.a) (hY : e.Y.length=e.a) :
e.coincidence.toReal ≤ (2:ℝ)^((e.t:ℝ)-e.a)*((2:ℝ)^e.N)^(4*(d+1:ℝ)*lam) := by
let := hd.probability
have hmass := e.normalized_cellPair_profile_mass hd ha hX hY
have hquad : (e.cellPair.prod e.cellPair) univ = e.cellPair univ*e.cellPair univ := by
rw [← univ_prod_univ,Measure.prod_prod]
have hc : e.coincidence.toReal ≤ e.normalization.toReal*(e.cellPair.real univ)^2 := by
rw [e.coincidence_four_point,ENNReal.toReal_mul]
apply mul_le_mul_of_nonneg_left _ ENNReal.toReal_nonneg
calc
_ ≤ ((e.cellPair.prod e.cellPair) univ).toReal :=
ENNReal.toReal_mono (measure_ne_top _ _) (measure_mono (subset_univ _))
_ = _ := by rw [hquad,ENNReal.toReal_mul]; simp only [pow_two,measureReal_def]
have he : e.normalization.toReal*(e.cellPair.real univ)^2 =
(2:ℝ)^((e.t:ℝ)-e.a)*(e.levelMass^(-2:ℤ)*e.cellPair.real univ)^2 := by
rw [normalization,ENNReal.toReal_ofReal (by positivity)]
simp only [zpow_neg,zpow_ofNat]
field_simp
have hp := pow_le_pow_left₀ (show 0 ≤ e.levelMass^(-2:ℤ)*e.cellPair.real univ by positivity) hmass 2
have hr : (((2:ℝ)^e.N)^(2*(d+1:ℝ)*lam))^2 = ((2:ℝ)^e.N)^(4*(d+1:ℝ)*lam) := by
rw [← Real.rpow_mul_natCast (by positivity : 0 ≤ (2:ℝ)^e.N)]
congr 1
norm_num
ring
rw [hr] at hp
exact hc.trans (he.trans_le (mul_le_mul_of_nonneg_left hp (by positivity)))
lemma actual_distance_terminal {B : ℕ} {s lam : ℝ}
(hd : RegularizedProfileData e.ρ e.N B s lam e.mass)
(ha : e.a ≤ e.N) (hX : e.X.length=e.a) (hY : e.Y.length=e.a)
(ht : e.t ≤ e.a+100*e.q) :
e.coincidence.toReal ≤ (2:ℝ)^(100*(e.q:ℝ))*((2:ℝ)^e.N)^(4*(d+1:ℝ)*lam) := by
have htR : (e.t:ℝ) ≤ (e.a:ℝ)+100*e.q := by exact_mod_cast ht
have he : (2:ℝ)^((e.t:ℝ)-e.a) ≤ (2:ℝ)^(100*(e.q:ℝ)) :=
Real.rpow_le_rpow_of_exponent_le (by norm_num) (by linarith)
exact (e.coincidence_trivial_profile_bound hd ha hX hY).trans
(mul_le_mul_of_nonneg_right he (by positivity))
lemma actual_distance_terminal_rpow {B : ℕ} {s lam : ℝ}
(hd : RegularizedProfileData e.ρ e.N B s lam e.mass)
(hN : 0 < e.N) (ha : e.a ≤ e.N) (hX : e.X.length=e.a) (hY : e.Y.length=e.a)
(ht : e.t ≤ e.a+100*e.q) :
e.coincidence.toReal ≤ ((2:ℝ)^e.N)^(100*(e.q:ℝ)/e.N+4*(d+1:ℝ)*lam) := by
apply (e.actual_distance_terminal hd ha hX hY ht).trans_eq
rw [Real.rpow_add (by positivity)]
congr 1
rw [← Real.rpow_natCast,← Real.rpow_mul (by norm_num : (0:ℝ) ≤ 2)]
congr 1
have hn : (e.N:ℝ) ≠ 0 := by exact_mod_cast (Nat.ne_of_gt hN)
field_simp
end PositiveDistanceState
end CurrentFalconer.TreeND
end GraphLiteralSupport
end
end
end OAI