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Add lean source and binary files (part 71)
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import OAI.Geometry.PinnedDistances.ArithmeticVariance
namespace OAI
universe u1 u2 u3 u4 u5 u6 u7 u8 u9
section
noncomputable section
open NumberField
open scoped BigOperators
noncomputable section
open MeasureTheory
open scoped Topology
noncomputable section
open MeasureTheory
open scoped Topology ENNReal
noncomputable section
open MeasureTheory NumberField
open scoped BigOperators
noncomputable section
open scoped BigOperators
open MeasureTheory
namespace WeakPinned.Hierarchy.Depth
open MeasureTheory
variable {P : Type u1} [Fintype P] [DecidableEq P]
variable (d : Depth P)
def sourceGiant (x : P) (r : ℝ) : Prop := Fintype.card P < 2*(d.cell r x).card
instance (x : P) (r : ℝ) : Decidable (d.sourceGiant x r) := Classical.propDecidable _
omit [DecidableEq P] in
lemma sourceGiant_mono (x : P) {r t : ℝ} (htr : t ≤ r) (hr : d.sourceGiant x r) :
d.sourceGiant x t := by
classical
have hc := Finset.card_le_card (d.cell_mono htr x)
unfold sourceGiant at *
omega
omit [DecidableEq P] in
lemma sourceGiant_iff (x : P) (r : ℝ) : d.sourceGiant x r ↔
∃ C : Finset P, Fintype.card P < 2*C.card ∧ ∀ y ∈ C, d.share r x y := by
classical
constructor
· intro h; exact ⟨d.cell r x,h,fun y hy => (d.mem_cell r x y).mp hy⟩
· rintro ⟨C,hc,hC⟩
have hsub : C ⊆ d.cell r x := fun y hy => (d.mem_cell r x y).mpr (hC y hy)
have := Finset.card_le_card hsub
unfold sourceGiant
omega
lemma isClosed_sourceGiant (x : P) : IsClosed {r : ℝ | d.sourceGiant x r} := by
classical
simp_rw [d.sourceGiant_iff, Set.ofPred_exists]
apply isClosed_iUnion_of_finite
intro C
simp only [Set.ofPred_and]
apply IsClosed.inter
· by_cases h : Fintype.card P < 2*C.card <;> simp [h]
· simp_rw [Set.ofPred_forall]
apply isClosed_iInter
intro y
apply isClosed_iInter
intro hy
by_cases hxy : x = y
· simp [share,hxy]
· simp only [share,hxy,false_or]
exact isClosed_le continuous_id continuous_const
def sourceM (x : P) : ℝ := sSup {r : ℝ | d.sourceGiant x r}
lemma sourceGiant_cutoff (hn : 2 ≤ Fintype.card P) (x : P) (r : ℝ) :
d.sourceGiant x r ↔ r ≤ d.sourceM x := by
classical
have hlo : d.sourceGiant x (-d.radius) := by
classical
unfold sourceGiant
rw [d.cell_of_low le_rfl,Finset.card_univ]
omega
have hle : ∀ t, d.sourceGiant x t → t ≤ d.radius := by
classical
intro t ht
exact d.giants_le_radius hn ⟨d.cell t x, (d.mem_giants t _).mpr ⟨d.cell_mem_cells t x,ht⟩⟩
have hne : Set.Nonempty {t : ℝ | d.sourceGiant x t} := ⟨-d.radius,hlo⟩
have hbd : BddAbove {t : ℝ | d.sourceGiant x t} := ⟨d.radius, fun t ht => hle t ht⟩
have hmem : d.sourceGiant x (d.sourceM x) := (d.isClosed_sourceGiant x).csSup_mem hne hbd
exact ⟨fun hr => le_csSup hbd hr, fun hr => d.sourceGiant_mono x hr hmem⟩
lemma sourceM_le_M (hn : 2 ≤ Fintype.card P) (x : P) : d.sourceM x ≤ d.M := by
classical
apply (d.giants_cutoff hn _).mp
exact ⟨d.cell (d.sourceM x) x, (d.mem_giants _ _).mpr
⟨d.cell_mem_cells _ x,(d.sourceGiant_cutoff hn x _).mpr le_rfl⟩⟩
lemma sourceGiant_mem_giant (x : P) (r : ℝ) :
d.sourceGiant x r ↔ (d.giants r).Nonempty ∧ x ∈ d.giant r := by
classical
constructor
· intro hs
have hc : d.cell r x ∈ d.giants r := (d.mem_giants r _).mpr ⟨d.cell_mem_cells r x,hs⟩
exact ⟨⟨_,hc⟩,by rw [d.giant_eq hc]; exact d.self_mem_cell r x⟩
· rintro ⟨⟨G,hG⟩,hx⟩
rw [d.giant_eq hG] at hx
obtain ⟨hGc,hGm⟩ := (d.mem_giants r G).mp hG
rwa [d.cell_of_mem hGc hx] at hGm
lemma outsideIndicator_source (hn : 2 ≤ Fintype.card P) (x : P) (r : ℝ) :
d.outsideIndicator r x = if d.sourceM x < r ∧ r ≤ d.M then 1 else 0 := by
classical
have he : ((d.giants r).Nonempty ∧ x ∉ d.giant r) ↔ d.sourceM x < r ∧ r ≤ d.M := by
classical
rw [← not_le, ← d.sourceGiant_cutoff hn x r, d.sourceGiant_mem_giant,
← d.giants_cutoff hn r]
tauto
simp only [outsideIndicator,he]
lemma potential_source (hn : 2 ≤ Fintype.card P) (x : P) :
d.potential x = d.M - d.sourceM x := by
classical
have he : (fun r => d.outsideIndicator r x) =
(Set.Ioc (d.sourceM x) d.M).indicator (fun _ : ℝ => (1:ℝ)) := by
classical
funext r
simp only [d.outsideIndicator_source hn, Set.indicator_apply, Set.mem_Ioc]
rw [potential,he,integral_indicator measurableSet_Ioc]
rw [← intervalIntegral.integral_of_le (d.sourceM_le_M hn x), intervalIntegral.integral_const]
simp
/-- The level set is an interval of length 2H, regardless of the fiber center-level h. -/
lemma straddle_integral (hn : 2 ≤ Fintype.card P) (x : P) (h H : ℝ) (hH : 0 ≤ H) :
(∫ r : ℝ, if d.sourceGiant x (h-r-H) ∧ ¬d.sourceGiant x (h-r+H) then (1:ℝ) else 0) = 2*H := by
classical
have he : (fun r : ℝ => if d.sourceGiant x (h-r-H) ∧ ¬d.sourceGiant x (h-r+H) then (1:ℝ) else 0) =
(Set.Ico (h-H-d.sourceM x) (h+H-d.sourceM x)).indicator (fun _ => (1:ℝ)) := by
classical
funext r
simp only [d.sourceGiant_cutoff hn, not_le,Set.indicator_apply,Set.mem_Ico]
congr 1
apply propext
constructor <;> rintro ⟨h₁,h₂⟩ <;> constructor <;> linarith
rw [he,integral_indicator measurableSet_Ico]
rw [integral_Ico_eq_integral_Ioc, ← intervalIntegral.integral_of_le (by linarith : h-H-d.sourceM x ≤ h+H-d.sourceM x), intervalIntegral.integral_const]
simp
ring
def smallCells (y : P) (T : ℝ) : Finset (Finset P) := by
classical
exact Finset.univ.filter (fun C => ∃ r : ℝ, C = d.cell r y ∧ (C.card : ℝ) < T)
def smallNeighbors (y : P) (T : ℝ) : Finset P := (d.smallCells y T).biUnion id
omit [DecidableEq P] in
lemma smallCells_chain (y : P) (T : ℝ) {C E : Finset P}
(hC : C ∈ d.smallCells y T) (hE : E ∈ d.smallCells y T) : C ⊆ E ∨ E ⊆ C := by
classical
obtain ⟨r,rfl,hr⟩ := (Finset.mem_filter.mp hC).2
obtain ⟨t,rfl,ht⟩ := (Finset.mem_filter.mp hE).2
rcases le_total t r with h | h
· exact Or.inl (d.cell_mono h y)
· exact Or.inr (d.cell_mono h y)
lemma smallNeighbors_card (y : P) (T : ℝ) (hT : 0 < T) :
((d.smallNeighbors y T).card : ℝ) < T := by
classical
by_cases hne : (d.smallCells y T).Nonempty
· obtain ⟨C,hC,hmax⟩ := Finset.exists_max_image (d.smallCells y T) Finset.card hne
have he : d.smallNeighbors y T = C := by
classical
apply Finset.Subset.antisymm
· intro x hx
obtain ⟨E,hE,hx⟩ := Finset.mem_biUnion.mp hx
change x ∈ E at hx
rcases d.smallCells_chain y T hE hC with h | h
· exact h hx
· have he : C = E := Finset.eq_of_subset_of_card_le h (hmax E hE)
simpa only [he] using hx
· intro x hx
exact Finset.mem_biUnion.mpr ⟨C,hC,hx⟩
rw [he]
obtain ⟨r,hr,ht⟩ := (Finset.mem_filter.mp hC).2
exact ht
· rw [smallNeighbors,Finset.not_nonempty_iff_eq_empty.mp hne]
simpa using hT
lemma source_mem_smallNeighbors (y x : P) (r T : ℝ)
(hxy : y ∈ d.cell r x) (hT : ((d.cell r x).card : ℝ) < T) :
x ∈ d.smallNeighbors y T := by
classical
have he := d.cell_eq_of_share ((d.mem_cell r x y).mp hxy)
apply Finset.mem_biUnion.mpr
refine ⟨d.cell r y, ?_, (d.mem_cell r y x).mpr (d.share_symm ((d.mem_cell r x y).mp hxy))⟩
apply Finset.mem_filter.mpr
exact ⟨Finset.mem_univ _,r,rfl,by rwa [← he]⟩
end WeakPinned.Hierarchy.Depth
namespace WeakPinned.Hierarchy.Depth
open MeasureTheory
variable {P : Type u2} [Fintype P] [DecidableEq P]
variable (d : Depth P)
lemma smallNeighbors_self (y : P) (T : ℝ) (hne : (d.smallNeighbors y T).Nonempty) :
y ∈ d.smallNeighbors y T := by
classical
obtain ⟨x,hx⟩ := hne
obtain ⟨C,hC,hx⟩ := Finset.mem_biUnion.mp hx
obtain ⟨r,rfl,hr⟩ := (Finset.mem_filter.mp hC).2
apply Finset.mem_biUnion.mpr
exact ⟨d.cell r y,hC,d.self_mem_cell r y⟩
lemma smallNeighbors_erase_bound (hn : 2 ≤ Fintype.card P) (y : P)
(τ : ℝ) (hτ : 0 < τ) (hτ1 : τ ≤ 1) :
((d.smallNeighbors y (τ*Fintype.card P)).erase y).card ≤ τ*((Fintype.card P : ℝ)-1) := by
classical
have hn0 : 0 < (Fintype.card P : ℝ) := by exact_mod_cast (show 0 < Fintype.card P by omega)
have hn1 : 0 ≤ (Fintype.card P : ℝ)-1 := by
have : (2:ℝ) ≤ Fintype.card P := by exact_mod_cast hn
linarith
by_cases hne : (d.smallNeighbors y (τ*Fintype.card P)).Nonempty
· have hy := d.smallNeighbors_self y _ hne
have hc := d.smallNeighbors_card y (τ*Fintype.card P) (mul_pos hτ hn0)
rw [Finset.card_erase_of_mem hy,Nat.cast_sub (Finset.one_le_card.mpr hne),Nat.cast_one]
nlinarith
· rw [Finset.not_nonempty_iff_eq_empty.mp hne]
simp only [Finset.erase_empty,Finset.card_empty,Nat.cast_zero]
exact mul_nonneg hτ.le hn1
/-- All candidate sources for each target lie in one small neighborhood,
allowing a level-dependent fiber reparametrization. -/
lemma smallNeighbors_pair_bound (hn : 2 ≤ Fintype.card P)
(q : P → P → ℝ) (B τ : ℝ) (hB : 0 ≤ B) (hτ : 0 < τ) (hτ1 : τ ≤ 1)
(hq : ∀ x y, x ≠ y → q x y ≤ B / ((Fintype.card P : ℝ)*((Fintype.card P : ℝ)-1)))
(C : Finset P) :
(∑ y ∈ C, ∑ x ∈ (d.smallNeighbors y (τ*Fintype.card P)).erase y, q x y) ≤
B*τ*((C.card : ℝ)/Fintype.card P) := by
classical
have hn0 : 0 < (Fintype.card P : ℝ) := by exact_mod_cast (show 0 < Fintype.card P by omega)
have hn1 : 0 < (Fintype.card P : ℝ)-1 := by
have : (2:ℝ) ≤ Fintype.card P := by exact_mod_cast hn
linarith
have hden : 0 ≤ B / ((Fintype.card P : ℝ)*((Fintype.card P : ℝ)-1)) :=
div_nonneg hB (mul_pos hn0 hn1).le
have hy (y : P) : (∑ x ∈ (d.smallNeighbors y (τ*Fintype.card P)).erase y, q x y) ≤
B*τ/Fintype.card P := by
classical
calc
_ ≤ ∑ x ∈ (d.smallNeighbors y (τ*Fintype.card P)).erase y,
B / ((Fintype.card P : ℝ)*((Fintype.card P : ℝ)-1)) :=
Finset.sum_le_sum (fun x hx => hq x y (Finset.ne_of_mem_erase hx))
_ = (((d.smallNeighbors y (τ*Fintype.card P)).erase y).card : ℝ) *
(B / ((Fintype.card P : ℝ)*((Fintype.card P : ℝ)-1))) := by simp
_ ≤ (τ*((Fintype.card P : ℝ)-1)) *
(B / ((Fintype.card P : ℝ)*((Fintype.card P : ℝ)-1))) :=
mul_le_mul_of_nonneg_right (d.smallNeighbors_erase_bound hn y τ hτ hτ1) hden
_ = B*τ/Fintype.card P := by field_simp
calc
_ ≤ ∑ y ∈ C, B*τ/Fintype.card P := Finset.sum_le_sum (fun y _ => hy y)
_ = _ := by simp; ring
end WeakPinned.Hierarchy.Depth
namespace WeakPinned.SmallFiber
open MeasureTheory
variable {P : Type u3} [Fintype P] [DecidableEq P]
/-- Probability of a finite subset; the fiber weights used below will be the
exact uniform probabilities on the original retained distance fibers. -/
def mass (p : P → ℝ) (C : Finset P) : ℝ := ∑ y ∈ C, p y
omit [Fintype P] [DecidableEq P] in
lemma mass_nonneg {p : P → ℝ} (hp : ∀ y, 0 ≤ p y) (C : Finset P) : 0 ≤ mass p C :=
Finset.sum_nonneg (fun y _ => hp y)
omit [Fintype P] [DecidableEq P] in
lemma mass_mono {p : P → ℝ} (hp : ∀ y, 0 ≤ p y) {C D : Finset P} (h : C ⊆ D) :
mass p C ≤ mass p D := Finset.sum_le_sum_of_subset_of_nonneg h (fun y _ _ => hp y)
omit [DecidableEq P] in
lemma mass_le_one {p : P → ℝ} (hp : ∀ y, 0 ≤ p y) (h1 : ∑ y, p y = 1) (C : Finset P) :
mass p C ≤ 1 := by rw [← h1]; exact mass_mono hp (Finset.subset_univ C)
omit [Fintype P] in
lemma mass_diff_inter (p : P → ℝ) (C D : Finset P) :
mass p C = mass p (C \ D) + mass p (C ∩ D) := by
classical
symm
have hh := Finset.sum_sdiff (f:=p) (Finset.inter_subset_left (s₁:=C) (s₂:=D))
have he : C \ (C ∩ D) = C \ D := by ext y; simp
rw [he] at hh
exact hh
lemma mass_cover (p : P → ℝ) (hp : ∀ y, 0 ≤ p y) (h1 : ∑ y, p y = 1)
(C D : Finset P) : 1 ≤ mass p C + mass p D + mass p (C ∪ D)ᶜ := by
classical
rw [← h1]
have he := Finset.sum_compl_add_sum (C ∪ D) p
have hu := (Finset.sum_union_inter (s₁:=C) (s₂:=D) (f:=p))
have hn := mass_nonneg hp (C ∩ D)
unfold mass at *
linarith
lemma small_case_one (p : P → ℝ) (hp : ∀ y, 0 ≤ p y) (h1 : ∑ y, p y = 1)
(C D : Finset P) (lam : ℝ) (hlam : 0 ≤ lam) (hlam2 : lam ≤ 1/2)
(hC : mass p C ≤ lam) :
mass p C ≤ 2*lam*mass p D + mass p (C ∪ D)ᶜ := by
classical
have hc := mass_cover p hp h1 C D
have hnC := mass_nonneg hp C
have hnD := mass_nonneg hp D
have hnE := mass_nonneg hp (C∪D)ᶜ
have hp2 : mass p C ≤ 1/2 := hC.trans hlam2
nlinarith
end WeakPinned.SmallFiber
namespace WeakPinned.Hierarchy.Depth
open MeasureTheory
variable {P : Type u4} [Fintype P] [DecidableEq P]
variable (d : Depth P)
lemma nongiant_share_overlap {r : ℝ} {x y : P} (hg : ¬ d.sourceGiant x r)
(hy : y ∈ d.cell r x) : 1 ≤ d.pairOverlap r x y := by
classical
have hs := (d.mem_cell r x y).mp hy
rw [d.pairOverlap_formula, ite_eq_left hs]
by_cases he : (d.giants r).Nonempty
· have hx : x ∉ d.giant r := by
intro hx
exact hg ((d.sourceGiant_mem_giant x r).mpr ⟨he,hx⟩)
have hy' : y ∉ d.giant r := by
intro hy'
have hgy := (d.sourceGiant_mem_giant y r).mpr ⟨he,hy'⟩
exact hg (by simpa only [sourceGiant, d.cell_eq_of_share hs] using hgy)
simp [giantIndicator,outsideIndicator,he,hx,hy']
· simp [giantIndicator,outsideIndicator,he]
end WeakPinned.Hierarchy.Depth
namespace WeakPinned.SmallFiber
open MeasureTheory Hierarchy
variable {P : Type u5} [Fintype P] [DecidableEq P]
lemma mass_as_sum (p : P → ℝ) (C : Finset P) :
mass p C = ∑ y, if y ∈ C then p y else 0 := by
classical
simp [mass]
lemma mass_as_sum_off (p : P → ℝ) (x : P) (hx : p x = 0) (C : Finset P) :
mass p C = ∑ y, if x ≠ y ∧ y ∈ C then p y else 0 := by
classical
rw [mass_as_sum]
apply Finset.sum_congr rfl
intro y _
by_cases hxy : x = y
· subst y; simp [hx]
· simp [hxy]
lemma nongiant_mass_bound (d : Depth P) (p : P → ℝ) (hp : ∀ y, 0 ≤ p y)
(x : P) (r : ℝ) :
(if ¬d.sourceGiant x r then mass p (d.cell r x) else 0) ≤
∑ y, p y * d.pairOverlap r x y := by
classical
by_cases hg : d.sourceGiant x r
· simp only [hg,not_true_eq_false,ite_false]
exact Finset.sum_nonneg (fun y _ => mul_nonneg (hp y) (d.pairOverlap_bounds r x y).1)
· simp only [hg,not_false_eq_true,ite_true]
rw [mass_as_sum]
apply Finset.sum_le_sum
intro y _
by_cases hy : y ∈ d.cell r x
· simp only [hy,ite_true]
nlinarith [d.nongiant_share_overlap hg hy, hp y]
· simpa only [hy,ite_false] using mul_nonneg (hp y) (d.pairOverlap_bounds r x y).1
lemma integral_open_interval (a b : ℝ) :
(∫ r : ℝ, if a < r ∧ r < b then (1:ℝ) else 0) = max (b-a) 0 := by
have he : (fun r : ℝ => if a < r ∧ r < b then (1:ℝ) else 0) =
(Set.Ioo a b).indicator (fun _ : ℝ => (1:ℝ)) := by
funext r; simp [Set.indicator_apply]
rw [he, integral_indicator measurableSet_Ioo]
simp [integral_const,measureReal_def,Real.volume_Ioo,ENNReal.toReal_ofReal']
lemma integral_closed_interval (a b : ℝ) :
(∫ r : ℝ, if a ≤ r ∧ r ≤ b then (1:ℝ) else 0) = max (b-a) 0 := by
have he : (fun r : ℝ => if a ≤ r ∧ r ≤ b then (1:ℝ) else 0) =
(Set.Icc a b).indicator (fun _ : ℝ => (1:ℝ)) := by
funext r; simp [Set.indicator_apply]
rw [he, integral_indicator measurableSet_Icc]
simp [integral_const,measureReal_def,Real.volume_Icc,ENNReal.toReal_ofReal']
lemma integrable_open_interval (a b : ℝ) :
Integrable (fun r : ℝ => if a < r ∧ r < b then (1:ℝ) else 0) := by
have he : (fun r : ℝ => if a < r ∧ r < b then (1:ℝ) else 0) =
(Set.Ioo a b).indicator (fun _ : ℝ => (1:ℝ)) := by
funext r; simp [Set.indicator_apply]
rw [he, integrable_indicator_iff measurableSet_Ioo]
exact integrableOn_const (by rw [Real.volume_Ioo]; exact ENNReal.ofReal_ne_top)
lemma integrable_closed_interval (a b : ℝ) :
Integrable (fun r : ℝ => if a ≤ r ∧ r ≤ b then (1:ℝ) else 0) := by
have he : (fun r : ℝ => if a ≤ r ∧ r ≤ b then (1:ℝ) else 0) =
(Set.Icc a b).indicator (fun _ : ℝ => (1:ℝ)) := by
funext r; simp [Set.indicator_apply]
rw [he, integrable_indicator_iff measurableSet_Icc]
exact integrableOn_const (by rw [Real.volume_Icc]; exact ENNReal.ofReal_ne_top)
def minusError (d d' : Depth P) (p : P → ℝ) (x : P) (h H r : ℝ) : ℝ :=
mass p (d.cell r x ∪ d'.cell (h-r-H) x)ᶜ
def plusError (d d' : Depth P) (p : P → ℝ) (x : P) (h H r : ℝ) : ℝ :=
mass p (d.cell r x ∩ d'.cell (h-r+H) x)
lemma minusError_formula (d d' : Depth P) (p : P → ℝ) (x : P) (hx : p x = 0)
(h H r : ℝ) :
minusError d d' p x h H r = ∑ y, p y *
(if d.value x y < r ∧ r < h-H-d'.value x y then (1:ℝ) else 0) := by
classical
rw [minusError,mass_as_sum]
apply Finset.sum_congr rfl
intro y _
by_cases hxy : x = y
· subst y; simp [hx]
· simp only [Finset.mem_compl,Finset.mem_union,Depth.mem_cell,Depth.share,hxy,false_or,not_or,not_le]
have he : (d.value x y < r ∧ d'.value x y < h-r-H) ↔
d.value x y < r ∧ r < h-H-d'.value x y := by constructor <;> rintro ⟨a,b⟩ <;> constructor <;> linarith
simp only [he]
split_ifs <;> simp
lemma plusError_formula (d d' : Depth P) (p : P → ℝ) (x : P) (hx : p x = 0)
(h H r : ℝ) :
plusError d d' p x h H r = ∑ y, p y *
(if h+H-d'.value x y ≤ r ∧ r ≤ d.value x y then (1:ℝ) else 0) := by
classical
rw [plusError,mass_as_sum]
apply Finset.sum_congr rfl
intro y _
by_cases hxy : x = y
· subst y; simp [hx]
· simp only [Finset.mem_inter,Depth.mem_cell,Depth.share,hxy,false_or]
have he : (r ≤ d.value x y ∧ h-r+H ≤ d'.value x y) ↔
h+H-d'.value x y ≤ r ∧ r ≤ d.value x y := by constructor <;> rintro ⟨a,b⟩ <;> constructor <;> linarith
simp only [he]
split_ifs <;> simp
lemma minusError_integrable (d d' : Depth P) (p : P → ℝ) (x : P) (hx : p x = 0)
(h H : ℝ) : Integrable (minusError d d' p x h H) := by
change Integrable (fun r => minusError d d' p x h H r)
simp_rw [minusError_formula d d' p x hx]
exact integrable_finsetSum _ (fun y _ => (integrable_open_interval _ _).const_mul (p y))
lemma plusError_integrable (d d' : Depth P) (p : P → ℝ) (x : P) (hx : p x = 0)
(h H : ℝ) : Integrable (plusError d d' p x h H) := by
change Integrable (fun r => plusError d d' p x h H r)
simp_rw [plusError_formula d d' p x hx]
exact integrable_finsetSum _ (fun y _ => (integrable_closed_interval _ _).const_mul (p y))
lemma minusError_integral (d d' : Depth P) (p : P → ℝ) (x : P) (hx : p x = 0)
(h H : ℝ) : (∫ r, minusError d d' p x h H r) =
∑ y, p y * max (h-d.value x y-d'.value x y-H) 0 := by
simp_rw [minusError_formula d d' p x hx]
rw [integral_finsetSum _ (fun y _ => (integrable_open_interval _ _).const_mul (p y))]
simp_rw [integral_const_mul,integral_open_interval]
apply Finset.sum_congr rfl
intro y _
congr 2; ring
lemma plusError_integral (d d' : Depth P) (p : P → ℝ) (x : P) (hx : p x = 0)
(h H : ℝ) : (∫ r, plusError d d' p x h H r) =
∑ y, p y * max (d.value x y+d'.value x y-h-H) 0 := by
simp_rw [plusError_formula d d' p x hx]
rw [integral_finsetSum _ (fun y _ => (integrable_closed_interval _ _).const_mul (p y))]
simp_rw [integral_const_mul,integral_closed_interval]
apply Finset.sum_congr rfl
intro y _
congr 2; ring
lemma two_truncations (a H : ℝ) (hH : 0 ≤ H) :
max (-a-H) 0 + max (a-H) 0 = max (|a|-H) 0 := by
rcases le_total 0 a with ha | ha
· rw [abs_of_nonneg ha,max_eq_right (by linarith : -a-H ≤ 0),zero_add]
· rw [abs_of_nonpos ha,max_eq_right (by linarith : a-H ≤ 0),add_zero]
lemma errors_integral (d d' : Depth P) (p : P → ℝ) (x : P) (hx : p x = 0)
(h H : ℝ) (hH : 0 ≤ H) :
(∫ r, minusError d d' p x h H r + plusError d d' p x h H r) =
∑ y, p y * max (|d.value x y+d'.value x y-h|-H) 0 := by
rw [integral_add (minusError_integrable d d' p x hx h H) (plusError_integrable d d' p x hx h H),
minusError_integral d d' p x hx, plusError_integral d d' p x hx,← Finset.sum_add_distrib]
apply Finset.sum_congr rfl
intro y _
have he : h-d.value x y-d'.value x y-H = -(d.value x y+d'.value x y-h)-H := by ring
rw [he,← mul_add,two_truncations _ H hH]
end WeakPinned.SmallFiber
namespace WeakPinned.SmallFiber
open MeasureTheory Hierarchy
variable {P : Type u6} [Fintype P] [DecidableEq P]
/-- Actual source cell, not a giant-complement occurrence. -/
def activeMass (d : Depth P) (p : P → ℝ) (x : P) (T lam r : ℝ) : ℝ := by
classical
exact if ¬d.sourceGiant x r ∧ ((d.cell r x).card : ℝ) < T ∧ mass p (d.cell r x) < lam
then mass p (d.cell r x) else 0
def nongiantMass (d : Depth P) (p : P → ℝ) (x : P) (r : ℝ) : ℝ :=
if ¬d.sourceGiant x r then mass p (d.cell r x) else 0
def straddle (d : Depth P) (x : P) (h H r : ℝ) : ℝ :=
if d.sourceGiant x (h-r-H) ∧ ¬d.sourceGiant x (h-r+H) then 1 else 0
def neighborMass (d d' : Depth P) (p : P → ℝ) (x : P) (T t : ℝ) : ℝ := by
classical
exact ∑ y, p y * (if x ∈ (d.smallNeighbors y T).erase y then d'.outsideIndicator t y else 0)
lemma neighborMass_nonneg (d d' : Depth P) (p : P → ℝ) (hp : ∀ y, 0 ≤ p y)
(x : P) (T t : ℝ) : 0 ≤ neighborMass d d' p x T t := by
classical
exact Finset.sum_nonneg (fun y _ => mul_nonneg (hp y) (by split_ifs; exact (d'.outsideIndicator_bounds t y).1; rfl))
omit [DecidableEq P] in
lemma nongiantMass_nonneg (d : Depth P) (p : P → ℝ) (hp : ∀ y, 0 ≤ p y)
(x : P) (r : ℝ) : 0 ≤ nongiantMass d p x r := by
unfold nongiantMass
split_ifs <;> first | exact mass_nonneg hp _ | rfl
lemma case_three_bound (d d' : Depth P) (p : P → ℝ) (hp : ∀ y, 0 ≤ p y)
(x : P) (hx : p x = 0) (r t T : ℝ)
(hT : ((d.cell r x).card : ℝ) < T) (hg : d'.sourceGiant x t) :
mass p (d.cell r x \ d'.cell t x) ≤ neighborMass d d' p x T t := by
classical
rw [mass_as_sum_off p x hx]
unfold neighborMass
apply Finset.sum_le_sum
intro y _
by_cases hy : x ≠ y ∧ y ∈ d.cell r x \ d'.cell t x
· obtain ⟨hxy,hyD⟩ := hy
obtain ⟨hyU,hyV⟩ := Finset.mem_sdiff.mp hyD
have hn : x ∈ (d.smallNeighbors y T).erase y :=
Finset.mem_erase.mpr ⟨hxy, d.source_mem_smallNeighbors y x r T hyU hT⟩
have hG : d'.cell t x ∈ d'.giants t := (d'.mem_giants t _).mpr ⟨d'.cell_mem_cells t x,hg⟩
have he : (d'.giants t).Nonempty := ⟨_,hG⟩
have hyo : y ∉ d'.giant t := by rwa [d'.giant_eq hG]
simp [hxy,hyD,hn,Depth.outsideIndicator,he,hyo]
· simp only [hy,ite_false]
exact mul_nonneg (hp y) (by split_ifs; exact (d'.outsideIndicator_bounds t y).1; rfl)
/-- The pointwise small-fiber bound. The only independent error is the exact
pair of intervals already evaluated. -/
lemma active_pointwise (d d' : Depth P) (p : P → ℝ) (hp : ∀ y, 0 ≤ p y)
(h1 : ∑ y, p y = 1) (x : P) (hx : p x = 0) (h H T lam r : ℝ)
(hlam : 0 ≤ lam) (hlam2 : lam ≤ 1/2) :
activeMass d p x T lam r ≤
2*lam*nongiantMass d' p x (h-r-H) + lam*straddle d' x h H r +
minusError d d' p x h H r + plusError d d' p x h H r +
neighborMass d d' p x T (h-r+H) := by
classical
have hminus : 0 ≤ minusError d d' p x h H r := mass_nonneg hp _
have hplus : 0 ≤ plusError d d' p x h H r := mass_nonneg hp _
have hnbr := neighborMass_nonneg d d' p hp x T (h-r+H)
have hng := nongiantMass_nonneg d' p hp x (h-r-H)
have hstr : 0 ≤ straddle d' x h H r := by unfold straddle; split_ifs <;> norm_num
unfold activeMass
split_ifs with ha
· obtain ⟨haG,haT,haP⟩ := ha
by_cases hg : d'.sourceGiant x (h-r-H)
· by_cases hg' : d'.sourceGiant x (h-r+H)
· have hthree := case_three_bound d d' p hp x hx r (h-r+H) T haT hg'
have he := mass_diff_inter p (d.cell r x) (d'.cell (h-r+H) x)
change mass p (d.cell r x) = _ + plusError d d' p x h H r at he
nlinarith
· have hs : straddle d' x h H r = 1 := by simp [straddle,hg,hg']
rw [hs]
nlinarith
· have hone := small_case_one p hp h1 (d.cell r x) (d'.cell (h-r-H) x) lam hlam hlam2 haP.le
have hnge : nongiantMass d' p x (h-r-H) = mass p (d'.cell (h-r-H) x) := by
simp [nongiantMass,hg]
rw [hnge]
change mass p (d.cell r x) ≤ _ + minusError d d' p x h H r at hone
nlinarith
· positivity
omit [DecidableEq P] in
lemma nongiantMass_measurable (d : Depth P) (p : P → ℝ) (x : P) :
Measurable (nongiantMass d p x) := by
classical
let f : Finset P → ℝ := fun C => if ¬Fintype.card P < 2*C.card then mass p C else 0
have h := (measurable_of_finite f).comp (d.measurable_cell x)
have he : nongiantMass d p x = f ∘ (fun r => d.cell r x) := by
funext r
by_cases hg : Fintype.card P < 2*(d.cell r x).card
· simp [nongiantMass,f,Depth.sourceGiant,hg]
· simp [nongiantMass,f,Depth.sourceGiant,hg]
rw [he]
exact h
omit [DecidableEq P] in
lemma activeMass_measurable (d : Depth P) (p : P → ℝ) (x : P) (T lam : ℝ) :
Measurable (activeMass d p x T lam) := by
classical
let f : Finset P → ℝ := fun C => if ¬Fintype.card P < 2*C.card ∧ (C.card : ℝ) < T ∧ mass p C < lam
then mass p C else 0
have h := (measurable_of_finite f).comp (d.measurable_cell x)
have he : activeMass d p x T lam = f ∘ (fun r => d.cell r x) := by
funext r
by_cases hg : Fintype.card P < 2*(d.cell r x).card
· simp [activeMass,f,Depth.sourceGiant,hg]
· simp [activeMass,f,Depth.sourceGiant,hg,Nat.not_lt.mp hg]
rw [he]
exact h
omit [DecidableEq P] in
lemma nongiantMass_integrable (d : Depth P) (hn : 2 ≤ Fintype.card P)
(p : P → ℝ) (hp : ∀ y, 0 ≤ p y) (h1 : ∑ y, p y = 1) (x : P) (hx : p x = 0) :
Integrable (nongiantMass d p x) := by
classical
apply Depth.integrable_supported_Icc (nongiantMass_measurable d p x) (a:=-d.radius) (b:=d.radius) (C:=1)
· intro r
rw [Real.norm_eq_abs,abs_of_nonneg (nongiantMass_nonneg d p hp x r)]
unfold nongiantMass
split_ifs <;> first | exact mass_le_one hp h1 _ | norm_num
· intro r hr
by_cases hlo : r ≤ -d.radius
· have hG : d.sourceGiant x r := by
unfold Depth.sourceGiant
rw [d.cell_of_low hlo x,Finset.card_univ]
omega
simp [nongiantMass,hG]
· have hhi : d.radius < r := by
by_contra! hhi
exact hr ⟨(not_le.mp hlo).le,hhi⟩
simp only [nongiantMass]
rw [d.cell_of_high hhi x]
have he : mass p {x} = 0 := by simp [mass,hx]
split_ifs <;> simp [he]
omit [DecidableEq P] in
lemma activeMass_integrable (d : Depth P) (hn : 2 ≤ Fintype.card P)
(p : P → ℝ) (hp : ∀ y, 0 ≤ p y) (h1 : ∑ y, p y = 1) (x : P) (hx : p x = 0)
(T lam : ℝ) : Integrable (activeMass d p x T lam) := by
classical
apply (nongiantMass_integrable d hn p hp h1 x hx).mono'
(activeMass_measurable d p x T lam).aestronglyMeasurable
filter_upwards with r
unfold activeMass nongiantMass
split_ifs <;> simp_all [abs_of_nonneg (mass_nonneg hp (d.cell r x)),mass_nonneg hp]
lemma straddle_integrable (d : Depth P) (hn : 2 ≤ Fintype.card P) (x : P) (h H : ℝ) :
Integrable (straddle d x h H) := by
classical
have he : straddle d x h H =
(Set.Ico (h-H-d.sourceM x) (h+H-d.sourceM x)).indicator (fun _ : ℝ => (1:ℝ)) := by
funext r
simp only [straddle,d.sourceGiant_cutoff hn,not_le,Set.indicator_apply,Set.mem_Ico]
congr 1
apply propext
constructor <;> rintro ⟨a,b⟩ <;> constructor <;> linarith
rw [he,integrable_indicator_iff measurableSet_Ico]
exact integrableOn_const (by rw [Real.volume_Ico]; exact ENNReal.ofReal_ne_top)
lemma neighborMass_integrable (d d' : Depth P) (hn : 2 ≤ Fintype.card P)
(p : P → ℝ) (x : P) (T : ℝ) : Integrable (neighborMass d d' p x T) := by
classical
unfold neighborMass
apply integrable_finsetSum
intro y _
apply Integrable.const_mul
by_cases h : x ∈ (d.smallNeighbors y T).erase y
· simpa only [h,ite_true] using d'.integrable_outsideIndicator hn y
· simp only [h,ite_false]
exact integrable_zero _ _ _
lemma neighborMass_integral (d d' : Depth P) (hn : 2 ≤ Fintype.card P)
(p : P → ℝ) (x : P) (T : ℝ) :
(∫ r, neighborMass d d' p x T r) =
∑ y, p y * (if x ∈ (d.smallNeighbors y T).erase y then d'.potential y else 0) := by
classical
unfold neighborMass
rw [integral_finsetSum]
· apply Finset.sum_congr rfl
intro y _
rw [integral_const_mul]
by_cases hh : x ∈ (d.smallNeighbors y T).erase y
· simp only [hh,ite_true,Depth.potential]
· simp only [hh,ite_false,integral_zero]
· intro y _
apply Integrable.const_mul
by_cases hh : x ∈ (d.smallNeighbors y T).erase y
· simpa only [hh,ite_true] using d'.integrable_outsideIndicator hn y
· simp only [hh,ite_false]; exact integrable_zero _ _ _
end WeakPinned.SmallFiber
namespace WeakPinned.SmallFiber
open MeasureTheory Hierarchy
variable {P : Type u7} [Fintype P] [DecidableEq P]
lemma pairMass_integrable (d : Depth P) (hn : 2 ≤ Fintype.card P)
(p : P → ℝ) (x : P) (hx : p x = 0) :
Integrable (fun r => ∑ y, p y * d.pairOverlap r x y) := by
apply integrable_finsetSum
intro y _
by_cases hxy : x = y
· subst y; simp only [hx,zero_mul]; exact integrable_zero _ _ _
· exact (d.integrable_pairOverlap hn x y hxy).const_mul _
lemma integral_nongiantMass_bound (d : Depth P) (hn : 2 ≤ Fintype.card P)
(p : P → ℝ) (hp : ∀ y, 0 ≤ p y) (h1 : ∑ y, p y = 1) (x : P) (hx : p x = 0) :
(∫ r, nongiantMass d p x r) ≤ ∑ y, p y * ∫ r, d.pairOverlap r x y := by
calc
_ ≤ ∫ r : ℝ, ∑ y, p y * d.pairOverlap r x y :=
integral_mono (nongiantMass_integrable d hn p hp h1 x hx) (pairMass_integrable d hn p x hx)
(fun r => nongiant_mass_bound d p hp x r)
_ = _ := by
rw [integral_finsetSum]
· exact Finset.sum_congr rfl (fun y _ => integral_const_mul (p y) _)
· intro y _
by_cases hxy : x = y
· subst y; simp only [hx,zero_mul]; exact integrable_zero _ _ _
· exact (d.integrable_pairOverlap hn x y hxy).const_mul _
/-- The local small-fiber bound for two entire realized hierarchies. This
includes the exact signed-depth error; it will vanish at finite places
and have an exponentially small grid mean at archimedean places. -/
lemma active_integral (d d' : Depth P) (hn : 2 ≤ Fintype.card P)
(p : P → ℝ) (hp : ∀ y, 0 ≤ p y) (h1 : ∑ y, p y = 1)
(x : P) (hx : p x = 0) (h H T lam : ℝ)
(hH : 0 ≤ H) (hlam : 0 ≤ lam) (hlam2 : lam ≤ 1/2) :
(∫ r, activeMass d p x T lam r) ≤
2*lam*(∑ y, p y * ∫ r, d'.pairOverlap r x y) + 2*lam*H +
(∑ y, p y * max (|d.value x y+d'.value x y-h|-H) 0) +
∑ y, p y * (if x ∈ (d.smallNeighbors y T).erase y then d'.potential y else 0) := by
classical
have hshift₁ (r : ℝ) : h-r-H = (h-H)-r := by ring
have hshift₂ (r : ℝ) : h-r+H = (h+H)-r := by ring
have hi₁ : Integrable (fun r => 2*lam*nongiantMass d' p x (h-r-H)) := by
simp_rw [hshift₁]
exact ((integrable_comp_sub_left _ (h-H)).mpr (nongiantMass_integrable d' hn p hp h1 x hx)).const_mul _
have hi₂ : Integrable (fun r => lam*straddle d' x h H r) :=
(straddle_integrable d' hn x h H).const_mul _
have hi₃ := (minusError_integrable d d' p x hx h H).add (plusError_integrable d d' p x hx h H)
have hi₄ : Integrable (fun r => neighborMass d d' p x T (h-r+H)) := by
simp_rw [hshift₂]
exact (integrable_comp_sub_left _ (h+H)).mpr (neighborMass_integrable d d' hn p x T)
have hb := integral_mono (activeMass_integrable d hn p hp h1 x hx T lam)
(((hi₁.add hi₂).add hi₃).add hi₄) (fun r => by
have hh := active_pointwise d d' p hp h1 x hx h H T lam r hlam hlam2
dsimp only [Pi.add_apply]
linarith)
simp only [Pi.add_apply] at hb
have he₁ := integral_add ((hi₁.add hi₂).add hi₃) hi₄
have he₂ := integral_add (hi₁.add hi₂) hi₃
have he₃ := integral_add hi₁ hi₂
simp only [Pi.add_apply] at he₁ he₂ he₃
rw [he₁,he₂,he₃] at hb
rw [integral_const_mul,integral_const_mul] at hb
simp_rw [hshift₁,hshift₂] at hb
rw [integral_sub_left_eq_self,integral_sub_left_eq_self,
neighborMass_integral d d' hn p x T,errors_integral d d' p x hx h H hH] at hb
have hs : (∫ r, straddle d' x h H r) = 2*H := d'.straddle_integral hn x h H hH
rw [hs] at hb
have hng := mul_le_mul_of_nonneg_left (integral_nongiantMass_bound d' hn p hp h1 x hx)
(show 0 ≤ 2*lam by positivity)
linarith
/-- Exact edge law induced by fiber sampling; no independence of fiber
labels or levels is postulated. -/
def edgeLaw {I : Type u8} [Fintype I] (w : I → ℝ) (p : I → P → ℝ) (x : I → P) (a b : P) : ℝ :=
∑ i, if x i = a then w i * p i b else 0
lemma fiber_neighbor_bound {I : Type u9} [Fintype I]
(d d' : Depth P) (hn : 2 ≤ Fintype.card P)
(w : I → ℝ) (p : I → P → ℝ) (x : I → P)
(B τ : ℝ) (hB : 0 ≤ B) (hτ : 0 < τ) (hτ1 : τ ≤ 1)
(hdom : ∀ a b, a ≠ b → edgeLaw w p x a b ≤ B/((Fintype.card P:ℝ)*((Fintype.card P:ℝ)-1))) :
(∑ i, w i * ∑ y, p i y *
(if x i ∈ (d.smallNeighbors y (τ*Fintype.card P)).erase y then d'.potential y else 0)) ≤
B*τ/Fintype.card P * ∑ y, d'.potential y := by
classical
have hn0 : 0 < (Fintype.card P:ℝ) := by exact_mod_cast (show 0 < Fintype.card P by omega)
have hn1 : 0 < (Fintype.card P:ℝ)-1 := by
have : (2:ℝ) ≤ Fintype.card P := by exact_mod_cast hn
linarith
have hid (y : P) :
(∑ i, w i * (p i y * (if x i ∈ (d.smallNeighbors y (τ*Fintype.card P)).erase y then d'.potential y else 0))) =
(∑ a ∈ (d.smallNeighbors y (τ*Fintype.card P)).erase y, edgeLaw w p x a y) * d'.potential y := by
rw [Finset.sum_mul]
simp only [edgeLaw,Finset.sum_mul]
rw [Finset.sum_comm]
apply Finset.sum_congr rfl
intro i _
rw [← Finset.sum_mul]
have he : (∑ a ∈ (d.smallNeighbors y (τ*Fintype.card P)).erase y,
if x i = a then w i*p i y else 0) =
if x i ∈ (d.smallNeighbors y (τ*Fintype.card P)).erase y then w i*p i y else 0 := by
simp [eq_comm]
rw [he]
split_ifs <;> ring
simp_rw [Finset.mul_sum]
rw [Finset.sum_comm]
simp_rw [hid]
have hb (y : P) : (∑ a ∈ (d.smallNeighbors y (τ*Fintype.card P)).erase y, edgeLaw w p x a y) ≤ B*τ/Fintype.card P := by
calc
_ ≤ ((d.smallNeighbors y (τ*Fintype.card P)).erase y).card *
(B/((Fintype.card P:ℝ)*((Fintype.card P:ℝ)-1))) := by
calc
_ ≤ ∑ a ∈ (d.smallNeighbors y (τ*Fintype.card P)).erase y,
B/((Fintype.card P:ℝ)*((Fintype.card P:ℝ)-1)) :=
Finset.sum_le_sum (fun a ha => hdom a y (Finset.ne_of_mem_erase ha))
_ = _ := by simp
_ ≤ (τ*((Fintype.card P:ℝ)-1)) * (B/((Fintype.card P:ℝ)*((Fintype.card P:ℝ)-1))) :=
mul_le_mul_of_nonneg_right (d.smallNeighbors_erase_bound hn y τ hτ hτ1) (by positivity)
_ = _ := by field_simp
exact Finset.sum_le_sum (fun y _ => mul_le_mul_of_nonneg_right (hb y) (d'.potential_nonneg y))
end WeakPinned.SmallFiber
end
end
end
end
end
end
end OAI