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Add lean source and binary files (part 66)
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import Mathlib
import OAI.Geometry.Cannon.Flows.GoodCandidates
import OAI.Geometry.Cannon.Modulus.AnnularNet
import OAI.Geometry.Cannon.CirclePacking.Radius
namespace OAI
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namespace CannonNode
open Set Metric
structure SourceNode {X : Type*} [MetricSpace X] (f : X → ℝ) (x₀ : X)
(ε ell c₀ B : ℝ) (kmin : ℕ) where
center : X
depth : ℕ
lowerDepth : kmin ≤ depth
a : ℝ
b : ℝ
apos : 0 < a
ab : a < b
bone : b < 1
straddle : lower f center (c₀*radius ell depth) ≤ a ∧
b ≤ upper f center (c₀*radius ell depth)
reserve : dist center x₀+2*B*radius ell depth ≤ ε
variable {X : Type*} [MetricSpace X] {f : X → ℝ} {x₀ : X}
{ε ell c₀ B : ℝ} {kmin : ℕ}
namespace SourceNode
def length (v : SourceNode f x₀ ε ell c₀ B kmin) : ℝ := v.b-v.a
lemma length_pos (v : SourceNode f x₀ ε ell c₀ B kmin) : 0 < v.length := sub_pos.mpr v.ab
def child (v : SourceNode f x₀ ε ell c₀ B kmin) (D : ℕ) (y : X)
(hB : 0 ≤ B) (hθ : radius ell D ≤ 1/2)
(hy : dist y v.center ≤ B*radius ell v.depth)
(ht : 0 < fraction v.a v.b (lower f y (c₀*radius ell (v.depth+D)))
(upper f y (c₀*radius ell (v.depth+D)))) :
SourceNode f x₀ ε ell c₀ B kmin where
center := y
depth := v.depth+D
lowerDepth := v.lowerDepth.trans (Nat.le_add_right _ _)
a := childLower v.a (lower f y (c₀*radius ell (v.depth+D)))
b := childUpper v.b (upper f y (c₀*radius ell (v.depth+D)))
apos := v.apos.trans_le (le_max_left _ _)
ab := (fraction_pos_iff v.ab).mp ht
bone := (min_le_left _ _).trans_lt v.bone
straddle := ⟨le_max_right _ _,min_le_right _ _⟩
reserve := by
have hR := radius_pos ell v.depth
have htR := mul_le_mul_of_nonneg_right hθ hR.le
have hB' := mul_le_mul_of_nonneg_left htR (mul_nonneg (by norm_num : (0:ℝ) ≤ 2) hB)
have htri := dist_triangle y v.center x₀
rw [radius_add]
nlinarith only [v.reserve,hy,htri,hB']
lemma child_length (v : SourceNode f x₀ ε ell c₀ B kmin) (D : ℕ) (y : X)
(hB : 0 ≤ B) (hθ : radius ell D ≤ 1/2)
(hy : dist y v.center ≤ B*radius ell v.depth)
(ht : 0 < fraction v.a v.b (lower f y (c₀*radius ell (v.depth+D)))
(upper f y (c₀*radius ell (v.depth+D)))) :
(v.child D y hB hθ hy ht).length = v.length *
fraction v.a v.b (lower f y (c₀*radius ell (v.depth+D)))
(upper f y (c₀*radius ell (v.depth+D))) := by
exact positive_child_length v.ab ht
lemma center_mem (v : SourceNode f x₀ ε ell c₀ B kmin) (hB : 0 ≤ B) :
v.center ∈ closedBall x₀ ε := by
have hh : 0 ≤ 2*B*radius ell v.depth := mul_nonneg (mul_nonneg (by norm_num) hB) (radius_pos ell v.depth).le
exact mem_closedBall.mpr (by linarith only [v.reserve,hh])
lemma root (k : ℕ) (hk : kmin ≤ k) (a b : ℝ) (ha : 0 < a)
(hab : a < b) (hb : b < 1)
(hs : lower f x₀ (c₀*radius ell k) ≤ a ∧ b ≤ upper f x₀ (c₀*radius ell k))
(hroom : 2*B*radius ell k ≤ ε) :
Nonempty (SourceNode f x₀ ε ell c₀ B kmin) :=
⟨⟨x₀,k,hk,a,b,ha,hab,hb,hs,by simpa only [dist_self,zero_add] using hroom⟩⟩
end SourceNode
end CannonNode
end
section
open Set Metric
namespace CannonMagnification
def Expansion {X : Type*} [MetricSpace X] (h : X ≃ₜ X) (x : X)
(r C L : ℝ) : Prop :=
∀ y z,
dist (h y) (h z) * max r (dist x y) * max r (dist x z) ≤ C*r*dist y z ∧
r*dist y z ≤ L*dist (h y) (h z) * max r (dist x y) * max r (dist x z)
lemma expansion_ball_bounds {X : Type*} [MetricSpace X] (h : X ≃ₜ X)
(x : X) (r C L B : ℝ) (hr : 0 < r) (hL : 0 < L) (hB : 1 ≤ B)
(hexp : Expansion h x r C L) (y z : X)
(hy : dist y x ≤ B*r) (hz : dist z x ≤ B*r) :
dist (h y) (h z) ≤ C/r*dist y z ∧
(1/(L*B^2))/r*dist y z ≤ dist (h y) (h z) := by
have hE : 0 ≤ dist (h y) (h z) := dist_nonneg
have hBr : r ≤ B*r := by nlinarith
have hby : max r (dist x y) ≤ B*r := max_le hBr (by simpa only [dist_comm] using hy)
have hbz : max r (dist x z) ≤ B*r := max_le hBr (by simpa only [dist_comm] using hz)
have hmy : 0 ≤ max r (dist x y) := hr.le.trans (le_max_left _ _)
have hmz : 0 ≤ max r (dist x z) := hr.le.trans (le_max_left _ _)
have h₁ : dist (h y) (h z)*r*r ≤ C*r*dist y z := by
exact (mul_le_mul (mul_le_mul_of_nonneg_left (le_max_left _ _) hE)
(le_max_left _ _) hr.le (mul_nonneg hE hmy)).trans (hexp y z).1
have h₂ : r*dist y z ≤ L*dist (h y) (h z)*(B*r)*(B*r) := by
exact (hexp y z).2.trans (mul_le_mul (mul_le_mul_of_nonneg_left hby (mul_nonneg hL.le hE))
hbz hmz (by positivity))
constructor
· rw [div_mul_eq_mul_div]
apply (le_div_iff₀ hr).mpr
have hh : (dist (h y) (h z)*r)*r ≤ (C*dist y z)*r := by nlinarith [h₁]
exact (mul_le_mul_iff_left₀ hr).mp hh
· have hden : 0 < L*B^2*r := mul_pos (mul_pos hL (sq_pos_of_pos (zero_lt_one.trans_le hB))) hr
have hraw : dist y z ≤ dist (h y) (h z)*(L*B^2*r) := by
apply (mul_le_mul_iff_left₀ hr).mp
nlinarith [h₂]
have hdiv : dist y z/(L*B^2*r) ≤ dist (h y) (h z) := (div_le_iff₀ hden).mpr hraw
convert hdiv using 1; ring
end CannonMagnification
end
section
open Set Metric
namespace CannonNode
open Set Metric
theorem node_level_hits {X : Type*} [MetricSpace X] [ProperSpace X]
(f : X → ℝ) (Ω : Set X) (K : ℝ → Set X) (x : X) (R c₀ L a b : ℝ)
(hR : 0 < R) (hc₀ : 0 < c₀) (hL : 1 ≤ L)
(hf : ContinuousOn f Ω) (hloc : closedBall x (L*c₀*R) ⊆ Ω)
(hnode : lower f x (c₀*R) ≤ a ∧ b ≤ upper f x (c₀*R))
(hpaths : ∀ u v, u ∈ closedBall x (c₀*R) → v ∈ closedBall x (c₀*R) →
JoinedIn (ball x (L*c₀*R)) u v)
(hhit : ∀ t ∈ Ioo a b, ∀ u v, ∀ p : Path u v, Set.range p ⊆ Ω →
f u < t → t < f v → (K t ∩ Set.range p).Nonempty) :
∀ t ∈ Ioo a b, ∃ y ∈ K t, dist y x ≤ L*c₀*R := by
have hsub : closedBall x (c₀*R) ⊆ closedBall x (L*c₀*R) :=
closedBall_subset_closedBall (by nlinarith only [hL,mul_pos hc₀ hR])
obtain ⟨⟨u,hu,huv⟩,⟨v,hv,hvv⟩⟩ := ball_extrema (mul_pos hc₀ hR).le (hf.mono (hsub.trans hloc))
obtain ⟨p,hp⟩ := hpaths u v hu hv
have hpΩ : range p ⊆ Ω := by
rintro _ ⟨t,rfl⟩
exact hloc (ball_subset_closedBall (hp t))
intro t ht
have hu' : f u < t := by rw [huv]; exact hnode.1.trans_lt ht.1
have hv' : t < f v := by rw [hvv]; exact ht.2.trans_le hnode.2
obtain ⟨z,hz,⟨s,rfl⟩⟩ := hhit t ht u v p hpΩ hu' hv'
exact ⟨p s,hz,(mem_ball.mp (hp s)).le⟩
lemma exists_node_interval {X : Type*} [MetricSpace X] [ProperSpace X]
(f : X → ℝ) (x : X) (r : ℝ) (hr : 0 ≤ r)
(hf : ContinuousOn f (closedBall x r))
(hunit : ∀ y ∈ closedBall x r, f y ∈ Icc (0:ℝ) 1)
(hvar : ∃ y ∈ closedBall x r, ∃ z ∈ closedBall x r, f y ≠ f z) :
∃ a b : ℝ, 0 < a ∧ a < b ∧ b < 1 ∧ lower f x r < a ∧ b < upper f x r := by
obtain ⟨⟨v,hv,hvv⟩,⟨w,hw,hww⟩⟩ := ball_extrema hr hf
have hlu : lower f x r < upper f x r := by
obtain ⟨y,hy,z,hz,hneq⟩ := hvar
have hylu := ball_range hf hy
have hzlu := ball_range hf hz
by_contra hn
have hh := le_of_not_gt hn
have hyz : f y=f z := by linarith only [hylu.1,hylu.2,hzlu.1,hzlu.2,hh]
exact hneq hyz
have hl : 0 ≤ lower f x r := by rw [← hvv]; exact (hunit v hv).1
have hu : upper f x r ≤ 1 := by rw [← hww]; exact (hunit w hw).2
refine ⟨(2*lower f x r+upper f x r)/3,(lower f x r+2*upper f x r)/3,?_,?_,?_,?_,?_⟩ <;>
linarith only [hlu,hl,hu]
end CannonNode
end
namespace CannonNode
open Set Metric Finset Filter Topology CannonPacking CannonAnnular CannonMagnification
attribute [local instance] Classical.propDecidable
def LiteralGood {X : Type*} [MetricSpace X] (f : X → ℝ) (Y : Finset X)
(c₀ r a b κ : ℝ) : Prop :=
GoodCandidates (fun y : Y => lower f y (2*r)) (fun y : Y => upper f y (2*r))
(fun y : Y => lower f y (c₀*r)) (fun y : Y => upper f y (c₀*r)) a b κ
def LiteralTransitions {X : Type*} [MetricSpace X] (f : X → ℝ) (Y : Finset X)
(c₀ r a b κ H L Qg Qb : ℝ) : Prop :=
∃ S : Finset Y,
(∀ y ∈ S, 0 < fraction a b (lower f y (c₀*r)) (upper f y (c₀*r))) ∧
(∀ y ∈ S, ∀ z ∈ S, y ≠ z → H*r < dist (y:X) z) ∧
∃ p : S → ℝ, (∀ y, 0 < p y) ∧ (∑ y, p y = 1) ∧
(∀ y, p y ≤ L*fraction a b (lower f (y.val:X) (c₀*r)) (upper f (y.val:X) (c₀*r))) ∧
∀ y, p y ≤ (if LiteralGood f Y c₀ r a b κ then Qg else Qb)*
(fraction a b (lower f (y.val:X) (c₀*r)) (upper f (y.val:X) (c₀*r)))^2
lemma candidate_slack {X : Type*} [MetricSpace X] (Q : ℕ) (CP B ell : ℝ)
(hCP : 0 ≤ CP) (hB : 0 ≤ B) (D : ℕ) :
∃ κ : ℝ, 0 < κ ∧ ∀ (Y : Finset X) (R r : ℝ), 0 < r →
(Y.card:ℝ) ≤ CP*((B+1)*R/r)^Q → R/r=Real.exp (ell*D) →
(Y.card:ℝ)*κ ≤ 1/8 := by
let C := CP*(B+1)^Q
have hC : 0 ≤ C := by dsimp [C]; positivity
let E := Real.exp (ell*D)^Q
have hE : 0 < E := pow_pos (Real.exp_pos _) _
let κ := 1/(8*max C 1*E)
have hmax : 0 < max C 1 := zero_lt_one.trans_le (le_max_right _ _)
have hden : 0 < 8*max C 1*E := by positivity
refine ⟨κ,one_div_pos.mpr hden,?_⟩
intro Y R r _hr hcard hratio
have hcard' : (Y.card:ℝ) ≤ C*E := by
convert hcard using 1
rw [mul_div_assoc, hratio,mul_pow]
dsimp [C,E]
ring
have hh : (Y.card:ℝ) ≤ max C 1*E := hcard'.trans
(mul_le_mul_of_nonneg_right (le_max_left _ _) hE.le)
change (Y.card:ℝ)*(1/(8*max C 1*E)) ≤ 1/8
rw [mul_one_div]
apply (div_le_iff₀ hden).mpr
nlinarith only [hh]
theorem eventually_scaled_subdivision {X : Type*} [MetricSpace X] [CompactSpace X]
[LocallyPathConnectedSpace X] (qdim : ℕ) (CP A B H c₀ C LE d₀ ell : ℝ)
(hpack : PolynomialPacking (X:=X) qdim CP) (hCP : 0 ≤ CP)
(hA : 1 ≤ A) (hAB : A+3 ≤ B) (hH : 0 < H) (hc₀ : 2 ≤ c₀)
(hC : 0 ≤ C) (hLE : 0 < LE) (hdc : d₀ ≤ 1/(9*LE)) (hell : 0 < ell)
(M : ℕ → ℝ) (hMnon : ∀ j, 0 ≤ M j)
(hM : ∀ lam : ℝ, 1 < lam → ∃ C : ℝ, 0 < C ∧ ∀ j, M j ≤ C*lam^j)
(δ : ℕ → Type*) [∀ j, Fintype (δ j)] (ξ : ∀ j, δ j → X)
(hξ : ∀ j i i', i ≠ i' → radius ell j ≤ dist (ξ j i) (ξ j i'))
(ω : ∀ j, δ j → ℝ) (hω : ∀ j, MacroscopicAdmissible (ξ j) (radius ell j) d₀ (ω j))
(hωmass : ∀ j, (∑ i, (ω j i)^2) ≤ M j)
(h : X → ℕ → X ≃ₜ X)
(hexp : ∀ x k, Expansion (h x k) x (radius ell k) C LE) :
∀ᶠ n : ℕ in atTop, 0 < n ∧ radius ell (160*(qdim+1)*n) < 1/4 ∧
∃ κ : ℝ, 0 < κ ∧ ∀ (x : X) (k : ℕ) (Y : Finset X)
(Ω : Set X) (f : X → ℝ) (K : ℝ → Set X) (a b : ℝ),
let R := radius ell k
let r := radius ell (k+160*(qdim+1)*n)
a < b → (B+1)*R ≤ 1 → max H 1*R ≤ 1 → 3*R ≤ 1 →
(∀ y ∈ Y, (A-1)*R ≤ dist y x ∧ dist y x ≤ (B+1)*R) →
(∀ y ∈ Y, ∀ z ∈ Y, y ≠ z → r ≤ dist y z) →
(∀ v, (A-1)*R ≤ dist v x → dist v x ≤ (B+1)*R → ∃ y ∈ Y, dist v y ≤ r) →
(∀ v, dist v x ≤ (B+2)*R → v ∈ Ω) → ContinuousOn f Ω →
(∀ v ∈ Ioo a b, IsPreconnected (K v)) →
(∀ v ∈ Ioo a b, ∃ y ∈ K v, dist y x ≤ A*R) →
(∀ v ∈ Ioo a b, 2*B*R < diam (K v)) →
(∀ v ∈ Ioo a b, ∀ y ∈ K v, y ∈ Ω → f y=v) →
LiteralTransitions f Y c₀ r a b κ H (Real.exp (-ell*n))
(Real.exp (8*(qdim+1)*ell*n)) (Real.exp (-((80*(qdim+1):ℝ)*ell*n))) := by
have hB : 0 ≤ B := by linarith only [hA,hAB]
have hc : 0 < 1/(9*LE) := by positivity
have hs := uniform_literal_subdivision qdim CP A B H c₀ C (1/(9*LE)) d₀ ell
hpack hCP hA hAB hH hc₀ hC hc hdc hell M hMnon hM
have hsc := eventually_flow_scales qdim ell c₀ H (max (C+2) (max (1/(9*LE)) 1)) hell
filter_upwards [hs,hsc] with n hn hscale
obtain ⟨κ,hκ,hκcount⟩ := candidate_slack (X:=X) qdim CP B ell hCP hB (160*(qdim+1)*n)
refine ⟨hscale.1,hscale.2.1,κ,hκ,?_⟩
intro x k Y Ω f K a b
dsimp only
let R := radius ell k
let r := radius ell (k+160*(qdim+1)*n)
let s := radius ell (k+2*n)
have hR : 0 < R := radius_pos _ _
have hr : 0 < r := radius_pos _ _
have hsp : 0 < s := radius_pos _ _
intro hab hRone hCone hthree hY hYsep hYnet hΩ hf hK hinner hdiam hlevel
have hd : 2 ≤ 160*(qdim+1) := by omega
have hdr : 2*n ≤ 160*(qdim+1)*n := Nat.mul_le_mul_right n hd
have hrs : r ≤ s := radius_antitone hell.le (Nat.add_le_add_left hdr k)
have hsR : s ≤ R := radius_antitone hell.le (Nat.le_add_right k (2*n))
have hrR : r ≤ R := hrs.trans hsR
have hSR : s ≤ R/4 := by
dsimp [s,R]
rw [radius_add]
nlinarith only [mul_le_mul_of_nonneg_right hscale.2.2.2.2.1 hR.le]
have hcR : c₀*r ≤ R := by
dsimp [r,R]
rw [radius_add]
nlinarith only [mul_le_mul_of_nonneg_right hscale.2.2.1 hR.le]
have hHR : 2*((H+3)*r) ≤ R := by
dsimp [r,R]
rw [radius_add]
nlinarith only [mul_le_mul_of_nonneg_right hscale.2.2.2.1 hR.le]
have hratioS : R/s=Real.exp (2*ell*n) := by
dsimp [R,s]
rw [radius_ratio]
congr 1
push_cast
ring
have hratioR : R/r=Real.exp ((160*(qdim+1):ℝ)*ell*n) := by
dsimp [R,r]
rw [radius_ratio]
congr 1
push_cast
ring
have hrr : r/s=radius ell ((160*(qdim+1)-2)*n) := by
dsimp [r,s]
rw [radius_sub_ratio ell k _ _ hdr, Nat.sub_mul]
have hκY : (Fintype.card Y:ℝ)*κ ≤ 1/8 := by
rw [Fintype.card_coe]
apply hκcount Y R r hr
· exact hpack x ((B+1)*R) r hr (hrR.trans (by nlinarith only [hB,hR])) hRone Y
(fun y hy => by simpa only [dist_comm] using (hY y hy).2) hYsep
· dsimp [R,r]
exact radius_ratio _ _ _
obtain ⟨T,hT,hTsep,hTnet⟩ := annular_net x A B R s hsp
have htrans : max (C+2) (max (1/(9*LE)) 1)*(r/s) ≤ 1 := by
rw [hrr]
exact hscale.2.2.2.2.2
have hmap (z : T) (v v' : X) (hv : dist v (z:X) ≤ 3*s) (hv' : dist v' (z:X) ≤ 3*s) :
dist (h z (k+2*n) v) (h z (k+2*n) v') ≤ C/s*dist v v' ∧
(1/(9*LE))/s*dist v v' ≤ dist (h z (k+2*n) v) (h z (k+2*n) v') := by
have hh := expansion_ball_bounds (h z (k+2*n)) z s C LE 3 hsp hLE (by norm_num)
(hexp z (k+2*n)) v v' hv hv'
simpa only [show (3 : ℝ)^2 = 9 by norm_num, mul_comm LE 9] using hh
have htarget : ∀ i j, i ≠ j → r/s ≤ dist (ξ ((160*(qdim+1)-2)*n) i) (ξ ((160*(qdim+1)-2)*n) j) := by
rw [hrr]
exact hξ _
have hweight : MacroscopicAdmissible (ξ ((160*(qdim+1)-2)*n)) (r/s) d₀
(ω ((160*(qdim+1)-2)*n)) := by rw [hrr]; exact hω _
exact hn (fun y : Y => (y:X)) (fun z : T => (z:X)) (ξ ((160*(qdim+1)-2)*n))
(fun z : T => h z (k+2*n)) x Ω f K a b κ R r s hab hκ hκY hR hr hsp hrs hSR hcR hHR
hRone ((mul_le_mul_of_nonneg_left hrR (le_max_right H 1 |>.trans' zero_le_one)).trans hCone)
((mul_le_mul_of_nonneg_left hsR (by norm_num : (0:ℝ) ≤ 3)).trans hthree) htrans hratioS hratioR
(fun y => (hY y y.property).2)
(fun y z hyz => hYsep y y.property z z.property (fun he => hyz (Subtype.ext he)))
(fun y z hyz => hTsep y y.property z z.property (fun he => hyz (Subtype.ext he)))
htarget (fun z => by simpa only [dist_comm] using (hT z z.property).2)
(fun v hl hu => by obtain ⟨y,hy,hd⟩ := hYnet v hl hu; exact ⟨⟨y,hy⟩,by simpa only [dist_comm] using hd⟩)
(fun v hl hu => by obtain ⟨z,hz,hd⟩ := hTnet v hl hu; exact ⟨⟨z,hz⟩,hd⟩)
hΩ hf hK hinner hdiam hlevel hmap (ω ((160*(qdim+1)-2)*n)) hweight (hωmass _)
end CannonNode
end
section
section
open Set Filter Finset
namespace CannonFlow
structure FiniteFlow where
size : ℕ → ℕ
parent : (n : ℕ) → Fin (size (n+1)) → Fin (size n)
weight : (n : ℕ) → Fin (size n) → ℝ
nonneg : ∀ n v, 0 ≤ weight n v
root_mass : ∑ v, weight 0 v = 1
conserves : ∀ n v, weight n v = ∑ w, if parent n w = v then weight (n+1) w else 0
good : (n : ℕ) → Fin (size n) → Prop
namespace FiniteFlow
attribute [local instance] Classical.propDecidable
variable (T : FiniteFlow)
lemma conserve_expectation (n : ℕ) (f : Fin (T.size n) → ℝ) :
∑ v, T.weight n v * f v = ∑ w, T.weight (n+1) w * f (T.parent n w) := by
classical
simp_rw [T.conserves n, sum_mul]
rw [sum_comm]
apply sum_congr rfl
intro w hw
simp only [ite_mul, zero_mul]
simp
lemma total_mass (n : ℕ) : ∑ v, T.weight n v = 1 := by
induction n with
| zero => exact T.root_mass
| succ n ih =>
have h := T.conserve_expectation n (fun _ => 1)
simpa only [mul_one] using h.symm.trans (by simpa only [mul_one] using ih)
def badCount : (n : ℕ) → Fin (T.size n) → ℕ
| 0, _ => 0
| n+1, v => badCount n (T.parent n v) + if T.good n (T.parent n v) then 0 else 1
def expectedBad (n : ℕ) : ℝ := ∑ v, T.weight n v * (T.badCount n v : ℝ)
def badMass (n : ℕ) : ℝ := ∑ v, T.weight n v * if T.good n v then 0 else 1
def goodMass (n : ℕ) : ℝ := ∑ v, T.weight n v * if T.good n v then 1 else 0
lemma badMass_nonneg (n : ℕ) : 0 ≤ T.badMass n := by
classical
apply sum_nonneg
intro v hv
exact mul_nonneg (T.nonneg n v) (by split_ifs <;> norm_num)
lemma good_add_bad (n : ℕ) : T.goodMass n + T.badMass n = 1 := by
classical
unfold goodMass badMass
rw [← sum_add_distrib]
convert T.total_mass n using 1
apply sum_congr rfl
intro v hv
split_ifs <;> ring
lemma expectedBad_succ (n : ℕ) : T.expectedBad (n+1) = T.expectedBad n + T.badMass n := by
classical
unfold expectedBad badMass
simp only [badCount, Nat.cast_add, Nat.cast_ite, Nat.cast_zero, Nat.cast_one, mul_add, sum_add_distrib]
exact congrArg₂ (· + ·)
(T.conserve_expectation n (fun v => (T.badCount n v : ℝ))).symm
(T.conserve_expectation n (fun v => if T.good n v then 0 else 1)).symm
lemma expectedBad_eq_sum (n : ℕ) : T.expectedBad n = ∑ k ∈ range n, T.badMass k := by
induction n with
| zero => simp [expectedBad, badCount]
| succ n ih => rw [T.expectedBad_succ, ih, sum_range_succ]
lemma expectedBad_bound {c E : ℝ} (_hc : 0 < c)
(henergy : ∀ n, ∑ v, T.weight n v *
Real.exp (c * ((11 / 20 : ℝ) * T.badCount n v - (1 / 20 : ℝ) * n)) ≤ E)
(n : ℕ) : c * ((11 / 20 : ℝ) * T.expectedBad n - (1 / 20 : ℝ) * n) + 1 ≤ E := by
have htan : ∑ v, T.weight n v *
(c * ((11 / 20 : ℝ) * T.badCount n v - (1 / 20 : ℝ) * n) + 1) ≤ E := by
apply le_trans _ (henergy n)
apply sum_le_sum
intro v hv
exact mul_le_mul_of_nonneg_left (Real.add_one_le_exp _) (T.nonneg n v)
have heq : (∑ v, T.weight n v *
(c * ((11 / 20 : ℝ) * T.badCount n v - (1 / 20 : ℝ) * n) + 1)) =
c * ((11 / 20 : ℝ) * T.expectedBad n - (1 / 20 : ℝ) * n) + 1 := by
calc
_ = ∑ v, ((c * (11 / 20 : ℝ)) * (T.weight n v * T.badCount n v) +
(1 - c * (1 / 20 : ℝ) * n) * T.weight n v) := by
apply sum_congr rfl
intro v hv
ring
_ = _ := by rw [sum_add_distrib, ← mul_sum, ← mul_sum, T.total_mass]; unfold expectedBad; ring
rwa [heq] at htan
theorem arbitrarily_late_good_levels {c E : ℝ} (hc : 0 < c)
(henergy : ∀ n, ∑ v, T.weight n v *
Real.exp (c * ((11 / 20 : ℝ) * T.badCount n v - (1 / 20 : ℝ) * n)) ≤ E) :
∀ N : ℕ, ∃ n ≥ N, (1 / 2 : ℝ) ≤ T.goodMass n := by
classical
intro N
by_contra hn
have hbad : ∀ n, N ≤ n → (1 / 2 : ℝ) ≤ T.badMass n := by
intro n hnN
have hg : T.goodMass n < 1 / 2 := lt_of_not_ge (fun h => hn ⟨n,hnN,h⟩)
linarith [T.good_add_bad n]
have hlarge : ∃ n : ℕ, N ≤ n ∧ E + c * (11 / 40 : ℝ) * N < c * (9 / 40 : ℝ) * n + 1 := by
obtain ⟨m,hm⟩ := exists_nat_gt ((E + c * (11 / 40 : ℝ) * N) / (c * (9 / 40 : ℝ)))
refine ⟨max m N,le_max_right _ _,?_⟩
have hd : 0 < c * (9 / 40 : ℝ) := by positivity
have hh : E + c * (11 / 40 : ℝ) * N < c * (9 / 40 : ℝ) * m := by simpa [mul_comm] using (div_lt_iff₀ hd).mp hm
have hmn : (m : ℝ) ≤ max m N := by exact_mod_cast le_max_left m N
nlinarith
obtain ⟨n,hnN,hnE⟩ := hlarge
have hsum : ((n - N : ℕ) : ℝ) * (1 / 2 : ℝ) ≤ T.expectedBad n := by
rw [T.expectedBad_eq_sum]
have he := sum_le_sum (s := Ico N n) (fun k hk => hbad k (mem_Ico.mp hk).1)
have hs : ∑ k ∈ Ico N n, T.badMass k ≤ ∑ k ∈ range n, T.badMass k :=
sum_le_sum_of_subset_of_nonneg (by intro k hk; exact mem_range.mpr (mem_Ico.mp hk).2)
(fun k _ _ => T.badMass_nonneg k)
simpa using he.trans hs
rw [Nat.cast_sub hnN] at hsum
have hb := T.expectedBad_bound hc henergy n
nlinarith
end FiniteFlow
lemma probabilities_of_capacity {ι : Type*} [Fintype ι] (cap : ι → ℝ)
(hcap : ∀ i, 0 ≤ cap i) (hmass : 1 ≤ ∑ i, cap i) :
∃ p : ι → ℝ, (∀ i, 0 ≤ p i) ∧ (∑ i, p i = 1) ∧ ∀ i, p i ≤ cap i := by
let S := ∑ i, cap i
have hS : 0 < S := lt_of_lt_of_le (by norm_num) hmass
refine ⟨fun i => cap i / S, fun i => div_nonneg (hcap i) hS.le, ?_, ?_⟩
· rw [← Finset.sum_div]
exact div_self hS.ne'
· intro i
exact (div_le_iff₀ hS).mpr (by nlinarith [hcap i])
lemma probabilities_of_mixed_capacity {ι : Type*} [Fintype ι]
(t : ι → ℝ) {L Q : ℝ} (ht : ∀ i, 0 ≤ t i) (hL : 0 ≤ L) (hQ : 0 ≤ Q)
(hc : 1 ≤ ∑ i, min (L * t i) (Q * (t i)^2)) :
∃ p : ι → ℝ, (∀ i, 0 ≤ p i) ∧ (∑ i, p i = 1) ∧
(∀ i, p i ≤ L * t i) ∧ ∀ i, p i ≤ Q * (t i)^2 := by
obtain ⟨p,hp,hsum,hbound⟩ := probabilities_of_capacity
(fun i => min (L*t i) (Q*(t i)^2))
(fun i => le_min (mul_nonneg hL (ht i)) (mul_nonneg hQ (sq_nonneg _))) hc
exact ⟨p,hp,hsum,fun i => (hbound i).trans (min_le_left _ _),
fun i => (hbound i).trans (min_le_right _ _)⟩
namespace FiniteFlow
attribute [local instance] Classical.propDecidable
variable (T : FiniteFlow)
lemma weight_le_one (n : ℕ) (v : Fin (T.size n)) : T.weight n v ≤ 1 := by
rw [← T.total_mass n]
exact Finset.single_le_sum (fun w _ => T.nonneg n w) (Finset.mem_univ v)
lemma linear_transition_product
(p : (n : ℕ) → Fin (T.size (n+1)) → ℝ)
(Δ : (n : ℕ) → Fin (T.size n) → ℝ) {Δ₀ α : ℝ}
(hΔ₀ : 0 ≤ Δ₀) (hα : 0 ≤ α) (hroot : ∀ v, Δ 0 v = Δ₀)
(hp : ∀ n v, 0 ≤ p n v)
(hstep : ∀ n v, T.weight (n+1) v = p n v * T.weight n (T.parent n v))
(hlin : ∀ n v, p n v * Δ n (T.parent n v) ≤ α * Δ (n+1) v) :
∀ n v, Δ₀ * T.weight n v ≤ α^n * Δ n v := by
intro n
induction n with
| zero =>
intro v
simpa [hroot] using mul_le_mul_of_nonneg_left (T.weight_le_one 0 v) hΔ₀
| succ n ih =>
intro v
calc
Δ₀ * T.weight (n+1) v = p n v * (Δ₀ * T.weight n (T.parent n v)) := by
rw [hstep]; ring
_ ≤ p n v * (α^n * Δ n (T.parent n v)) :=
mul_le_mul_of_nonneg_left (ih _) (hp n v)
_ = α^n * (p n v * Δ n (T.parent n v)) := by ring
_ ≤ α^n * (α * Δ (n+1) v) :=
mul_le_mul_of_nonneg_left (hlin n v) (pow_nonneg hα n)
_ = _ := by rw [pow_succ]; ring
lemma badCount_exp_succ (c : ℝ) (n : ℕ) (v : Fin (T.size (n+1))) :
Real.exp (c * ((11/20:ℝ) * T.badCount (n+1) v - (1/20:ℝ) * (n+1))) =
Real.exp (c * ((11/20:ℝ) * T.badCount n (T.parent n v) - (1/20:ℝ)*n)) *
Real.exp (c * (if T.good n (T.parent n v) then -(1/20:ℝ) else 1/2)) := by
rw [← Real.exp_add]
congr 1
simp only [badCount, Nat.cast_add, Nat.cast_ite, Nat.cast_zero, Nat.cast_one]
split_ifs <;> ring
lemma quadratic_transition_product
(p : (n : ℕ) → Fin (T.size (n+1)) → ℝ)
(Δ : (n : ℕ) → Fin (T.size n) → ℝ) {Δ₀ c : ℝ}
(hroot : ∀ v, Δ 0 v = Δ₀) (hp : ∀ n v, 0 ≤ p n v)
(hstep : ∀ n v, T.weight (n+1) v = p n v * T.weight n (T.parent n v))
(hq : ∀ n v, p n v *
Real.exp (c * (if T.good n (T.parent n v) then -(1/20:ℝ) else 1/2)) *
(Δ n (T.parent n v))^2 ≤ (Δ (n+1) v)^2) :
∀ n v, Δ₀^2 * T.weight n v *
Real.exp (c * ((11/20:ℝ) * T.badCount n v - (1/20:ℝ) * n)) ≤ (Δ n v)^2 := by
intro n
induction n with
| zero =>
intro v
simpa [badCount,hroot] using
mul_le_mul_of_nonneg_left (T.weight_le_one 0 v) (sq_nonneg Δ₀)
| succ n ih =>
intro v
rw [hstep, Nat.cast_add, Nat.cast_one, T.badCount_exp_succ]
calc
_ = (p n v * Real.exp (c * (if T.good n (T.parent n v) then -(1/20:ℝ) else 1/2))) *
(Δ₀^2 * T.weight n (T.parent n v) *
Real.exp (c * ((11/20:ℝ) * T.badCount n (T.parent n v) - (1/20:ℝ) * n))) := by ring
_ ≤ (p n v * Real.exp (c * (if T.good n (T.parent n v) then -(1/20:ℝ) else 1/2))) *
(Δ n (T.parent n v))^2 :=
mul_le_mul_of_nonneg_left (ih _) (mul_nonneg (hp n v) (Real.exp_pos _).le)
_ ≤ _ := hq n v
theorem good_levels_of_transitions
(p : (n : ℕ) → Fin (T.size (n+1)) → ℝ)
(Δ : (n : ℕ) → Fin (T.size n) → ℝ) {Δ₀ c E : ℝ}
(hΔ₀ : 0 < Δ₀) (hc : 0 < c)
(hroot : ∀ v, Δ 0 v = Δ₀) (hp : ∀ n v, 0 ≤ p n v)
(hstep : ∀ n v, T.weight (n+1) v = p n v * T.weight n (T.parent n v))
(hq : ∀ n v, p n v *
Real.exp (c * (if T.good n (T.parent n v) then -(1/20:ℝ) else 1/2)) *
(Δ n (T.parent n v))^2 ≤ (Δ (n+1) v)^2)
(henergy : ∀ n, ∑ v, (Δ n v)^2 ≤ E) :
∀ N : ℕ, ∃ n ≥ N, (1/2:ℝ) ≤ T.goodMass n := by
apply T.arbitrarily_late_good_levels hc (E := E / Δ₀^2)
intro n
apply (le_div_iff₀ (sq_pos_of_pos hΔ₀)).mpr
have h := (Finset.sum_le_sum fun v _ =>
T.quadratic_transition_product p Δ hroot hp hstep hq n v).trans (henergy n)
convert h using 1
rw [Finset.sum_mul]
apply Finset.sum_congr rfl
intro v hv
ring
end FiniteFlow
end CannonFlow
end
end
end
end
end
end
end
end
end
end
end
end
end OAI