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Add lean source and binary files (part 47)
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import OAI.Combinatorics.PlanarL1.StepSuccess
namespace OAI
section
namespace PlanarL1.Columns.Model
open MeasureTheory Parameters
attribute [local instance] Classical.propDecidable
variable {k : ℕ} {M : Model (k+1)} {Ω Ξ V : Type*}
variable [MeasurableSpace Ω] [MeasurableSpace Ξ] {μ : Measure Ω} {ν : Measure Ξ}
variable {A : Ambient M}
namespace SetSystem
local instance : MeasurableSpace (Set (Fin (k+1))) := ⊤
variable [Fintype V] (S : SetSystem M Ω μ) (v : V → M.Point Set.univ A.root)
noncomputable def refinedBinary : FiniteL1.BinarySystem (V := V)
(μ.prod (Measure.count : Measure (Set (Fin (k+1))))) where
active w x := (S.activity w.1).active (v x).column (v x).height ∧ w.2=(S.activity w.1).component (v x).column
measurable x := by
have hm : Measurable (fun w : Ω × Set (Fin (k+1)) => (S.activity w.1).vector (v x).column (v x).height w.2) :=
measurable_from_prod_countable_left (fun c => S.measurable_vector (v x).column (v x).height c)
convert measurableSet_eq_fun hm (measurable_const : Measurable (fun _ : Ω × Set (Fin (k+1)) => (1:ℝ))) using 1
ext w
simp [Activity.vector]
integrable x y := by
convert (S.integrable_coordinateDifference (Classical.choice ((v x).paths_nonempty (v y))) (v x).height (v y).height).abs using 1
funext w
by_cases hx : (S.activity w.1).active (v x).column (v x).height ∧ w.2=(S.activity w.1).component (v x).column <;>
by_cases hy : (S.activity w.1).active (v y).column (v y).height ∧ w.2=(S.activity w.1).component (v y).column <;>
simp [SetSystem.coordinateDifference,Activity.vector,hx,hy]
noncomputable def cuts : FiniteL1.CutFamily V := FiniteL1.CutFamily.ofBinary (S.refinedBinary v)
variable [SFinite μ]
lemma cuts_distance (x y : V) :
(S.cuts v).distance x y=∫ w, (S.activity w).cost (v x).column (v y).column (v x).height (v y).height ∂μ := by
rw [cuts,FiniteL1.CutFamily.distance_ofBinary]
rw [← S.integral_norm_coordinates (Classical.choice ((v x).paths_nonempty (v y))) (v x).height (v y).height]
apply integral_congr_ae
apply Filter.Eventually.of_forall
intro w
by_cases hx : (S.activity w.1).active (v x).column (v x).height ∧ w.2=(S.activity w.1).component (v x).column <;>
by_cases hy : (S.activity w.1).active (v y).column (v y).height ∧ w.2=(S.activity w.1).component (v y).column <;>
simp [Real.norm_eq_abs,SetSystem.coordinateDifference,Activity.vector,FiniteL1.BinarySystem.indicator,refinedBinary,hx,hy]
lemma cuts_upper (x y : V) : (S.cuts v).distance x y ≤ dist (v x) (v y) := by
rw [S.cuts_distance]
exact S.integral_cost_le_dist isClosed_univ _ _
lemma cuts_dominates (x y : V) : S.separation (v x).column (v x).height (v y).column (v y).height ≤ (S.cuts v).distance x y := by
rw [S.cuts_distance,← S.norm_refinedMap_sub (v x)]
exact S.refinedMap_dominates _ _ _
end SetSystem
namespace PairGeometry
variable [SFinite μ] [Fintype V] {SA : OrdinaryState M kappaA Ω μ}
variable {v : V → M.Point Set.univ A.root} {x y : V} {b : ℝ}
lemma Certificate.cuts (h : Certificate A SA v (x := x) (y := y) b) :
b ≤ (SA.sets.cuts v).distance x y := by
obtain ⟨a,c,H,E,hH,hac,hsep,hE,hm,hx,hy,hn⟩ := h
rw [SA.sets.cuts_distance,← SA.sets.norm_refinedMap_sub (v x)]
have bound {a c : Fin (k+1)} (hH : H ∈ M.heights a c) (hac : ¬Consecutive a c)
(hsep : Field.TipSeparates a c (v x).column (v y).column)
(hn : ∀ w ∈ E, ¬(SA.sets.activity w).active a H) :
2*μ.real E ≤ ‖SA.sets.refinedMap (v x) (v x)-SA.sets.refinedMap (v x) (v y)‖ := by
rcases hsep with ⟨h1,h2,hout⟩|⟨h1,h2,hout⟩
· exact (SA.sets.refinedMap_terminal_certificate (v x) (v x) (v y) hH hac ⟨h1,h2⟩ hout E hE hn hx hy).2
· simpa only [norm_sub_rev] using (SA.sets.refinedMap_terminal_certificate (v x) (v y) (v x) hH hac ⟨h1,h2⟩ hout E hE hn hy hx).2
have hh : 2*μ.real E ≤ ‖SA.sets.refinedMap (v x) (v x)-SA.sets.refinedMap (v x) (v y)‖ := by
rcases hsep with hsep|hsep
· exact bound hH hac hsep hn
· apply bound (M.symm a c ▸ hH) (fun h => hac (by simpa only [Consecutive,or_comm,or_left_comm,or_assoc] using h)) hsep
intro w hw hwa
exact hn w hw ((SA.sets.activity w).switch a c H hH |>.mpr hwa)
linarith [measureReal_nonneg (μ := μ) (s := E)]
end PairGeometry
namespace CoupledState
variable [SFinite μ] [SFinite ν] [Fintype V]
variable {t : ℝ} (S : CoupledState A Ω Ξ μ ν t) (v : V → M.Point Set.univ A.root)
noncomputable def cuts : FiniteL1.CutFamily V := (S.left.sets.cuts v).add (S.right.sets.cuts v)
lemma cuts_upper (x y : V) : (S.cuts v).distance x y ≤ 2*dist (v x) (v y) := by
rw [CoupledState.cuts,FiniteL1.CutFamily.distance_add]
linarith [S.left.sets.cuts_upper v x y,S.right.sets.cuts_upper v x y]
lemma Successful.cuts {x y : V} {b : ℝ} (h : S.Successful v b x y) : b ≤ (S.cuts v).distance x y := by
rw [CoupledState.cuts,FiniteL1.CutFamily.distance_add]
rcases h with h|h|h
· exact (h.trans (S.left.sets.cuts_dominates v x y)).trans (le_add_of_nonneg_right (FiniteL1.CutFamily.distance_nonneg _ _ _))
· exact (h.trans (S.right.sets.cuts_dominates v x y)).trans (le_add_of_nonneg_left (FiniteL1.CutFamily.distance_nonneg _ _ _))
· exact h.cuts.trans (le_add_of_nonneg_right (FiniteL1.CutFamily.distance_nonneg _ _ _))
end CoupledState
end PlanarL1.Columns.Model
end
section
namespace PlanarL1.Threshold
open MeasureTheory
instance labelMeasure_sfinite : SFinite labelMeasure := by
rw [labelMeasure_eq]
infer_instance
end PlanarL1.Threshold
namespace PlanarL1.Columns.Model
open MeasureTheory Parameters
/-- A state of the actual construction in its current physical units. Both
label spaces are enlarged at every step, even in the no-change mode. -/
structure World (k : ℕ) (V : Type*) (Q : ℝ) where
model : Model (k+1)
ambient : Ambient model
vertex : V → model.Point Set.univ ambient.root
sample : Type
[measurable : MeasurableSpace sample]
measure : Measure sample
[sfinite : SFinite measure]
state : CoupledState ambient sample sample measure measure Q
namespace World
attribute [instance] measurable sfinite
variable {k : ℕ} {V : Type*} [Fintype V] {Q : ℝ}
variable (hQ : 0 < Q) (h1 : 1 ≤ Q) (hgap : 10 ≤ (R/200)*Q)
variable (W : World k V Q)
noncomputable def heightBound : ℝ := ∑ x, |(W.vertex x).height|
lemma height_bounds (x : V) : (W.vertex x).height ∈ Set.Icc (-W.heightBound) W.heightBound := by
have hh : |(W.vertex x).height| ≤ W.heightBound :=
Finset.single_le_sum (f := fun y => |(W.vertex y).height|) (fun y _ => abs_nonneg _) (Finset.mem_univ x)
exact abs_le.mp hh
noncomputable def after (T : CoupledState.Next (A := W.ambient) (μ := W.measure) (ν := W.measure)) : World k V Q where
model := W.model.dilate Q hQ
ambient := W.ambient.dilate hQ
vertex x := W.ambient.scaleEquiv hQ (W.vertex x)
sample := W.sample × Bool
measure := ENNReal.ofReal Q • (W.measure.prod Threshold.fair)
state := (T.dilate hQ).weaken (by simp)
noncomputable def step {m : ℕ} (hm : 0 < m) : Execution (World k V Q) :=
(W.state.step h1 hgap W.vertex W.height_bounds hm).bind (fun T => .pure (W.after hQ T))
def Coherent (x : V) (ρ : ℝ) : Prop := W.state.Coherent (W.vertex x) ρ
def Successful (b : ℝ) (x y : V) : Prop := W.state.Successful W.vertex b x y
noncomputable def distance (x y : V) : ℝ := dist (W.vertex x) (W.vertex y)
noncomputable def cuts : FiniteL1.CutFamily V := W.state.cuts W.vertex
lemma cuts_upper (x y : V) : W.cuts.distance x y ≤ 2*W.distance x y := W.state.cuts_upper W.vertex x y
lemma Successful.cuts {b : ℝ} {x y : V} (h : W.Successful b x y) : b ≤ W.cuts.distance x y := CoupledState.Successful.cuts W.state W.vertex h
omit [Fintype V] in
lemma Successful.mono {b c : ℝ} {x y : V} (h : W.Successful b x y) (hc : c ≤ b) : W.Successful c x y := CoupledState.Successful.mono W.state W.vertex h hc
omit [Fintype V] in
lemma after_distance (T : CoupledState.Next (A := W.ambient) (μ := W.measure) (ν := W.measure)) (x y : V) :
(W.after hQ T).distance x y=Q*W.distance x y := W.ambient.scaleEquiv_dist hQ _ _
omit [Fintype V] in
lemma after_coherent (T : CoupledState.Next (A := W.ambient) (μ := W.measure) (ν := W.measure)) (x : V) (ρ : ℝ) :
(W.after hQ T).Coherent x (Q*ρ) ↔ T.Coherent (W.vertex x) ρ :=
T.coherent_dilate hQ _ _
omit [Fintype V] in
lemma after_successful (T : CoupledState.Next (A := W.ambient) (μ := W.measure) (ν := W.measure))
{x y : V} {b : ℝ} (h : T.Successful W.vertex b x y) : (W.after hQ T).Successful (Q*b) x y := h.dilate hQ T W.vertex
lemma step_distances {m : ℕ} (hm : 0 < m) : (W.step hQ h1 hgap hm).Holds
(fun Z => ∀ x y, Z.distance x y=Q*W.distance x y) := by
apply Execution.holds_bind_of_forall
intro T x y
exact W.after_distance hQ T x y
lemma step_survives {m : ℕ} (hm : 0 < m) {x y : V} {b : ℝ} (h : W.Successful b x y) :
(W.step hQ h1 hgap hm).Holds (fun Z => Z.Successful (Q*(b-3)) x y) := by
apply (W.state.step_moves h1 hgap W.vertex W.height_bounds hm).bind
intro T hT
exact W.after_successful hQ T (by simpa only [mul_one] using hT.successful W.state (by norm_num) W.vertex h)
lemma step_persistence {m : ℕ} (hm : 0 < m) {x : V} {ρ : ℝ} (hρ : 0 ≤ ρ)
(hr : ρ ≤ persistenceRadius) (hold : W.Coherent x ρ) :
(W.step hQ h1 hgap hm).prob (fun Z => ¬Z.Coherent x (Q*ρ)) ≤ persistenceLoss ρ m := by
rw [step,Execution.prob_bind_pure]
have he : (fun T : CoupledState.Next (A := W.ambient) (μ := W.measure) (ν := W.measure) =>
¬(W.after hQ T).Coherent x (Q*ρ))=(fun T => ¬T.Coherent (W.vertex x) ρ) := by
funext T
exact propext (not_congr (W.after_coherent hQ T x ρ))
rw [he]
exact W.state.step_persistence h1 hgap W.vertex W.height_bounds hm x hρ hr hold
omit [Fintype V] in
lemma coherent_eligible {x y : V} (h : W.Coherent x 20) (hd : W.distance x y < 2) :
VertexTests.Eligible W.ambient W.state.left W.state.right W.vertex x y := by
refine ⟨?_,?_,?_,?_⟩
· intro z hz
exact (h z (hz.trans (by norm_num))).1
· intro z hz
have hxz : dist (W.vertex x) z ≤ 20 := by
have ht := dist_triangle (W.vertex x) (W.vertex y) z
change dist (W.vertex x) (W.vertex y)<2 at hd
linarith
exact (h z hxz).1
· intro z hz
exact (h z (hz.trans (by norm_num))).2
· intro z hz
have hxz : dist (W.vertex x) z ≤ 20 := by
have ht := dist_triangle (W.vertex x) (W.vertex y) z
change dist (W.vertex x) (W.vertex y)<2 at hd
linarith
exact (h z hxz).2
lemma step_success {m : ℕ} (hm : 0 < m) (hmany : 10000 ≤ m) {x y : V}
(hc : W.Coherent x 20) (hlo : 1 ≤ W.distance x y) (hhi : W.distance x y < 2) :
successChance ≤ (W.step hQ h1 hgap hm).prob (fun Z => Z.Successful (Q*successGain) x y) := by
rw [step,Execution.prob_bind_pure]
apply le_trans (W.state.step_success h1 hgap W.vertex W.height_bounds hm (W.coherent_eligible hc hhi) hlo hhi hmany)
apply Execution.prob_mono
intro T hT
exact W.after_successful hQ T hT
noncomputable def initial {M : Model (k+1)} (A : Ambient M) (v : V → M.Point Set.univ A.root) : World k V Q where
model := M
ambient := A
vertex := v
sample := Bool × ℝ
measure := Threshold.labelMeasure
state := {
left := OrdinaryState.initial M kappaA
right := BState.initial M kappaB SecondaryGeometry.Group.lam
histories := BState.Histories.ofOrdinary (A := A) (hc := by norm_num [R]) (hcr := by norm_num [R]) (OrdinaryState.initial M kappaB) }
omit [Fintype V] in
lemma initial_coherent {M : Model (k+1)} (A : Ambient M) (v : V → M.Point Set.univ A.root) (x : V) (ρ : ℝ) :
(initial (Q := Q) A v).Coherent x ρ := by
intro z hz
exact ⟨rfl,rfl⟩
end World
end PlanarL1.Columns.Model
end
end OAI