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import OAI.Probability.FirstPassage.EndpointNet
namespace OAI
namespace PlanarFPP
open Set Filter Finset MeasureTheory ProbabilityTheory
open scoped Topology
def BallTravel (μ : Plane → ℝ) (D η δ s : ℝ) (w : Edge → ℝ) : Prop :=
∀ p q : Vertex, ‖latticeEmbed p‖ ≤ D*s → ‖latticeEmbed q‖ ≤ D*s →
LocalTravel μ η δ s p q w
theorem ballTravel_of_net (μ : Plane → ℝ) (w : Edge → ℝ)
(D γ β η δ κ : ℝ) (hβ : 0 ≤ β)
(hlip : ∀ v u, |μ v-μ u| ≤ β*‖v-u‖)
(S : Finset {v : Plane // ‖v‖ ≤ D})
(hS : ∀ v : Plane, ‖v‖ ≤ D → ∃ u ∈ S, ‖v-u.val‖ < γ)
(C n : ℕ) (hn : 0 < n) (hbox : D*n+2 ≤ (C*n : ℕ))
(hcost : η/4*n+2*(8*(γ*n+2)+κ*(C*n : ℕ))+2*β*(γ*n+2) ≤ η*n)
(htube : max (3*(γ*n+2)) (δ/2*n+(γ*n+2)) ≤ δ*n)
(hc : ∀ p ∈ latticeBox (C*n), ∀ q ∈ latticeBox (C*n),
pathCost w p (coordinatePath p q) < 4*(latticeDistance p q : ℝ)+κ*(C*n : ℕ))
(hm : ∀ u ∈ S, ∀ v ∈ S, LocalTravel μ (η/4) (δ/2) n
(latticeFloor ((n : ℝ) • u.val)) (latticeFloor ((n : ℝ) • v.val)) w) :
BallTravel μ D η δ n w := by
intro p q hp hq
obtain ⟨u,hu,hpu⟩ := scaled_net_approximates D γ S hS n hn p hp
obtain ⟨v,hv,hqv⟩ := scaled_net_approximates D γ S hS n hn q hq
let p' := latticeFloor ((n : ℝ) • u.val)
let q' := latticeFloor ((n : ℝ) • v.val)
have hpbox : p ∈ latticeBox (C*n) := lattice_mem_box_of_norm p (C*n) (hp.trans (by linarith))
have hqbox : q ∈ latticeBox (C*n) := lattice_mem_box_of_norm q (C*n) (hq.trans (by linarith))
have hp'box : p' ∈ latticeBox (C*n) := lattice_mem_box_of_norm p' (C*n)
((scaled_net_norm D u n).trans hbox)
have hq'box : q' ∈ latticeBox (C*n) := lattice_mem_box_of_norm q' (C*n)
((scaled_net_norm D v n).trans hbox)
have hleft : pathCost w p (coordinatePath p p') ≤ 8*(γ*n+2)+κ*(C*n : ℕ) := by
have hd := latticeDistance_le_norm p p'
rw [← latticeEmbed_sub] at hd
have hh := hc p hpbox p' hp'box
dsimp [p'] at *
linarith
have hright : pathCost w q' (coordinatePath q' q) ≤ 8*(γ*n+2)+κ*(C*n : ℕ) := by
have hd := latticeDistance_le_norm q' q
rw [norm_sub_rev,← latticeEmbed_sub] at hd
have hh := hc q' hq'box q hqbox
dsimp [q'] at *
linarith
obtain ⟨ds,hend,hc',ht'⟩ := localTravel_attach μ w β hβ hlip p q p' q'
(γ*n+2) (8*(γ*n+2)+κ*(C*n : ℕ)) (η/4) (δ/2) n hpu hqv hleft hright (hm u hu v hv)
refine ⟨ds,hend,hc'.trans (by linarith),?_⟩
intro i hi
obtain ⟨t,ht0,ht1,hbound⟩ := ht' i hi
exact ⟨t,ht0,ht1,hbound.trans htube⟩
theorem ballTravel_parameters (D β η δ : ℝ)
(hD : 0 < D) (hβ : 0 ≤ β) (hη : 0 < η) (hδ : 0 < δ) :
∃ γ κ : ℝ, ∃ C : ℕ, 0 < γ ∧ 0 < κ ∧ 0 < C ∧
∀ᶠ n : ℕ in atTop,
0 < n ∧ D*n+2 ≤ (C*n : ℕ) ∧
η/4*n+2*(8*(γ*n+2)+κ*(C*n : ℕ))+2*β*(γ*n+2) ≤ η*n ∧
max (3*(γ*n+2)) (δ/2*n+(γ*n+2)) ≤ δ*n := by
obtain ⟨C,hC⟩ := exists_nat_gt (D+2)
have hc : (0 : ℝ) < C := by linarith
have hc' : 0 < C := by exact_mod_cast hc
let γ := min (η/(8*(16+2*β))) (δ/12)
let κ := η/(16*(C : ℝ))
have hγ : 0 < γ := lt_min (div_pos hη (by positivity)) (by positivity)
have hκ : 0 < κ := div_pos hη (by positivity)
have hgη : (16+2*β)*γ ≤ η/8 := by
have ht := (le_div_iff₀ (by positivity : 0 < 8*(16+2*β))).mp (min_le_left _ _ : γ ≤ _)
nlinarith
have hgδ : γ ≤ δ/12 := min_le_right _ _
have hk : κ*(C : ℝ)=η/16 := by dsimp [κ]; field_simp
refine ⟨γ,κ,C,hγ,hκ,hc',?_⟩
have hlim := (tendsto_natCast_atTop_atTop : Tendsto (fun n : ℕ => (n : ℝ)) atTop atTop)
filter_upwards [eventually_ge_atTop 1,
hlim.eventually (eventually_ge_atTop (4*(32+4*β)/η)),
hlim.eventually (eventually_ge_atTop (24/δ))] with n hn hnη hnδ
have hn' : (1 : ℝ) ≤ n := by exact_mod_cast hn
have hn0 : (0 : ℝ) ≤ n := by positivity
have hhη := (div_le_iff₀ hη).mp hnη
have hhδ := (div_le_iff₀ hδ).mp hnδ
have hge := mul_le_mul_of_nonneg_right hgη hn0
have hgd := mul_le_mul_of_nonneg_right hgδ hn0
have hcb := mul_le_mul_of_nonneg_right hC.le hn0
simp only [Nat.cast_mul]
refine ⟨by omega,by nlinarith,?_,?_⟩
· have he : κ*((C : ℝ)*n)=(η/16)*n := by rw [← mul_assoc,hk]
rw [he]
nlinarith
· apply max_le <;> nlinarith
variable {Ω : Type*} [MeasurableSpace Ω] {P : Measure Ω} {τ : Edge → Ω → ℝ}
theorem badConnections_tendsto_zero (h : ExponentialEnvironment P τ)
(κ : ℝ) (hκ : 0 < κ) :
Tendsto (fun n => P.real (badConnections τ κ n)) atTop (𝓝 0) := by
apply squeeze_zero (fun _ => measureReal_nonneg) (badConnections_probability h κ)
exact (summable_box_connection_bound hκ).tendsto_atTop_zero
theorem exponential_ball_travel_nat (h : ExponentialEnvironment P τ)
(μ : Plane → ℝ) (hμ : TimeConstantNorm μ) (ht : IsTimeConstant P τ μ)
(D η δ : ℝ) (hD : 0 < D) (hη : 0 < η) (hδ : 0 < δ) :
Tendsto (fun n : ℕ => P.real {ω | ¬BallTravel μ D η δ n (fun e => τ e ω)})
atTop (𝓝 0) := by
classical
let _ := h.probability
obtain ⟨β,hβ,hlip⟩ := timeConstantNorm_lipschitz_bound μ hμ
obtain ⟨γ,κ,C,hγ,hκ,hC,hparams⟩ := ballTravel_parameters D β η δ hD hβ.le hη hδ
obtain ⟨S,hS⟩ := finite_ball_net D γ hγ
let A (n : ℕ) := ⋃ uv ∈ S ×ˢ S, {ω | ¬LocalTravel μ (η/4) (δ/2) n
(latticeFloor ((n : ℝ) • uv.1.val)) (latticeFloor ((n : ℝ) • uv.2.val)) (fun e => τ e ω)}
have hA : Tendsto (fun n => P.real (A n)) atTop (𝓝 0) := by
apply (tendsto_order.2 ⟨?_,?_⟩)
· intro a ha
exact Eventually.of_forall (fun _ => ha.trans_le measureReal_nonneg)
· intro ε hε
have hden : 0 < ((S ×ˢ S).card : ℝ)+1 := by positivity
filter_upwards [eventually_ge_atTop 1,
exponential_local_travel_nat h μ hμ ht (2*D+4) (η/4) (δ/2)
(by linarith) (by linarith) (by linarith)
(ε/(((S ×ˢ S).card : ℝ)+1)) (div_pos hε hden)] with n hn hh
have hn' : (1 : ℝ) ≤ n := by exact_mod_cast hn
have hbound : P.real (A n) ≤ ((S ×ˢ S).card : ℝ)*(ε/(((S ×ˢ S).card : ℝ)+1)) := by
refine (measureReal_biUnion_finset_le _ _).trans ?_
calc
_ ≤ ∑ _uv ∈ S ×ˢ S, ε/(((S ×ˢ S).card : ℝ)+1) := by
apply sum_le_sum
intro uv huv
apply (hh _ _ ?_).le
rw [latticeEmbed_sub]
exact (norm_sub_le _ _).trans (by
have h1 := scaled_net_norm D uv.1 n
have h2 := scaled_net_norm D uv.2 n
nlinarith)
_ = _ := by simp
apply hbound.trans_lt
have he := (div_pos hε hden)
have hid : ((((S ×ˢ S).card : ℝ)+1))*(ε/(((S ×ˢ S).card : ℝ)+1))=ε := by field_simp
nlinarith
have hCn : Tendsto (fun n : ℕ => C*n) atTop atTop := by
apply tendsto_atTop.mpr
intro b
filter_upwards [eventually_ge_atTop b] with n hn
exact hn.trans (Nat.le_mul_of_pos_left n hC)
have hB := (badConnections_tendsto_zero h κ hκ).comp hCn
have hbound : ∀ᶠ n : ℕ in atTop,
P.real {ω | ¬BallTravel μ D η δ n (fun e => τ e ω)} ≤
P.real (badConnections τ κ (C*n))+P.real (A n) := by
filter_upwards [hparams] with n hn
have hsub : {ω | ¬BallTravel μ D η δ n (fun e => τ e ω)} ⊆
badConnections τ κ (C*n) ∪ A n := by
intro ω hω
by_contra hb
have hc : ω ∉ badConnections τ κ (C*n) := fun hc => hb (Or.inl hc)
have hm : ω ∉ A n := fun hm => hb (Or.inr hm)
apply hω
apply ballTravel_of_net μ _ D γ β η δ κ hβ.le hlip S hS C n
hn.1 hn.2.1 hn.2.2.1 hn.2.2.2
· intro p hp q hq
by_contra hh
exact hc (mem_iUnion₂.mpr ⟨(p,q),mem_product.mpr ⟨hp,hq⟩,le_of_not_gt hh⟩)
· intro u hu v hv
by_contra hh
exact hm (mem_iUnion₂.mpr ⟨(u,v),mem_product.mpr ⟨hu,hv⟩,hh⟩)
exact (measureReal_mono hsub).trans (measureReal_union_le _ _)
exact squeeze_zero' (Eventually.of_forall (fun _ => measureReal_nonneg)) hbound
(by simpa using hB.add hA)
end PlanarFPP
end OAI