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Add lean source and binary files (part 121)
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import OAI.Probability.FirstPassage.PositiveMoment
import OAI.Probability.FirstPassage.Reversal
namespace OAI
namespace PlanarFPP
open MeasureTheory ProbabilityTheory Finset
open scoped ENNReal
def straightEdge (p : Vertex) (d : Step) (i : ℕ) : Edge :=
d.edge (p + (i : ℤ) • d.delta)
theorem straightEdge_injective (p : Vertex) (d : Step) :
Function.Injective (straightEdge p d) := by
intro i j h
cases d <;> simp [straightEdge, Step.edge, Step.delta, Prod.ext_iff] at h <;> omega
theorem straightEdge_succ (p : Vertex) (d : Step) (i : ℕ) :
straightEdge p d (i + 1) = straightEdge (p + d.delta) d i := by
unfold straightEdge
congr 1
simp [Nat.cast_add, add_smul, add_comm, add_assoc]
theorem pathCost_replicate (w : Edge → ℝ) (p : Vertex) (d : Step) (n : ℕ) :
pathCost w p (List.replicate n d) =
∑ i ∈ range n, w (straightEdge p d i) := by
induction n generalizing p with
| zero => simp [pathCost]
| succ n ih =>
rw [List.replicate_succ, pathCost, ih, sum_range_succ']
simp [straightEdge, Nat.cast_add, add_smul, add_assoc, add_comm]
theorem pathCost_replicate_edgeSet (w : Edge → ℝ) (p : Vertex) (d : Step) (n : ℕ) :
pathCost w p (List.replicate n d) =
∑ e ∈ (range n).image (straightEdge p d), w e := by
rw [sum_image (fun i _ j _ hij => straightEdge_injective p d hij)]
exact pathCost_replicate w p d n
variable {Ω : Type*} [MeasurableSpace Ω] {P : Measure Ω} {τ : Edge → Ω → ℝ}
theorem costly_straight_probability (h : ExponentialEnvironment P τ)
(p : Vertex) (d : Step) (n : ℕ) (t : ℝ) :
P {ω | t ≤ pathCost (fun e => τ e ω) p (List.replicate n d)} ≤
2 ^ n / ENNReal.ofReal (Real.exp (t / 2)) := by
simp only [pathCost_replicate_edgeSet]
have ht := costly_edge_set_probability h ((range n).image (straightEdge p d)) t
simpa only [card_image_of_injective _ (straightEdge_injective p d), card_range] using ht
theorem costly_straight_probability_real (h : ExponentialEnvironment P τ)
(p : Vertex) (d : Step) (n : ℕ) (t : ℝ) :
P.real {ω | t ≤ pathCost (fun e => τ e ω) p (List.replicate n d)} ≤
(2 : ℝ) ^ n * Real.exp (-t / 2) := by
have hr := ENNReal.toReal_mono (show (2 : ℝ≥0∞)^n /
ENNReal.ofReal (Real.exp (t/2)) ≠ ⊤ from
ENNReal.div_ne_top (by simp) (by positivity))
(costly_straight_probability h p d n t)
simp only [ENNReal.toReal_div, ENNReal.toReal_pow,
ENNReal.toReal_ofReal (Real.exp_pos _).le, ENNReal.toReal_ofNat] at hr
change P.real _ ≤ _ at hr
rw [show -t / 2 = -(t / 2) by ring, Real.exp_neg]
simpa only [div_eq_mul_inv] using hr
theorem costly_straight_excess_probability_real (h : ExponentialEnvironment P τ)
(p : Vertex) (d : Step) (n : ℕ) (t : ℝ) :
P.real {ω | 4 * (n : ℝ) + t ≤
pathCost (fun e => τ e ω) p (List.replicate n d)} ≤ Real.exp (-t / 2) := by
refine (costly_straight_probability_real h p d n (4 * n + t)).trans ?_
have htwo : (2 : ℝ) ≤ Real.exp 2 := by
have := Real.add_one_le_exp (2 : ℝ)
linarith
have hp : (2 : ℝ)^n ≤ Real.exp (2 * (n : ℝ)) := by
rw [mul_comm (2 : ℝ), Real.exp_nat_mul]
exact pow_le_pow_left₀ (by norm_num) htwo n
calc
(2 : ℝ)^n * Real.exp (-(4 * n + t) / 2) ≤
Real.exp (2 * (n : ℝ)) * Real.exp (-(4 * n + t) / 2) :=
mul_le_mul_of_nonneg_right hp (Real.exp_pos _).le
_ = Real.exp (-t / 2) := by rw [← Real.exp_add]; congr 1; ring
def coordinatePath (p q : Vertex) : List Step :=
horizontal (q.1 - p.1) ++ vertical (q.2 - p.2)
def latticeDistance (p q : Vertex) : ℕ :=
(q.1 - p.1).natAbs + (q.2 - p.2).natAbs
theorem coordinatePath_endpoint (p q : Vertex) : p + displacement (coordinatePath p q) = q := by
simp [coordinatePath, displacement_horizontal, displacement_vertical, Prod.ext_iff]
theorem costly_horizontal_excess_probability_real (h : ExponentialEnvironment P τ)
(p : Vertex) (a : ℤ) (t : ℝ) :
P.real {ω | 4 * (a.natAbs : ℝ) + t ≤
pathCost (fun e => τ e ω) p (horizontal a)} ≤ Real.exp (-t / 2) := by
by_cases ha : 0 ≤ a
· have he : a.toNat = a.natAbs := by omega
simpa only [horizontal, ite_eq_left ha, he] using
costly_straight_excess_probability_real h p Step.east a.toNat t
· have he : (-a).toNat = a.natAbs := by omega
simpa only [horizontal, ite_eq_right ha, he] using
costly_straight_excess_probability_real h p Step.west (-a).toNat t
theorem costly_vertical_excess_probability_real (h : ExponentialEnvironment P τ)
(p : Vertex) (a : ℤ) (t : ℝ) :
P.real {ω | 4 * (a.natAbs : ℝ) + t ≤
pathCost (fun e => τ e ω) p (vertical a)} ≤ Real.exp (-t / 2) := by
by_cases ha : 0 ≤ a
· have he : a.toNat = a.natAbs := by omega
simpa only [vertical, ite_eq_left ha, he] using
costly_straight_excess_probability_real h p Step.north a.toNat t
· have he : (-a).toNat = a.natAbs := by omega
simpa only [vertical, ite_eq_right ha, he] using
costly_straight_excess_probability_real h p Step.south (-a).toNat t
theorem costly_coordinatePath_probability_real (h : ExponentialEnvironment P τ)
(p q : Vertex) (t : ℝ) :
P.real {ω | 4 * (latticeDistance p q : ℝ) + t ≤
pathCost (fun e => τ e ω) p (coordinatePath p q)} ≤ 2 * Real.exp (-t / 4) := by
let _ := h.probability
let A := {ω | 4 * ((q.1-p.1).natAbs : ℝ) + t/2 ≤
pathCost (fun e => τ e ω) p (horizontal (q.1-p.1))}
let B := {ω | 4 * ((q.2-p.2).natAbs : ℝ) + t/2 ≤
pathCost (fun e => τ e ω) (p + displacement (horizontal (q.1-p.1)))
(vertical (q.2-p.2))}
have hs : {ω | 4 * (latticeDistance p q : ℝ) + t ≤
pathCost (fun e => τ e ω) p (coordinatePath p q)} ⊆ A ∪ B := by
intro ω hω
change _ ∨ _
by_contra hn
push Not at hn
simp only [Set.mem_ofPred_eq, coordinatePath, pathCost_append, latticeDistance, Nat.cast_add] at hω
simp only [A, B, Set.mem_ofPred_eq, not_le] at hn
linarith
refine (measureReal_mono hs).trans ((measureReal_union_le A B).trans ?_)
have ha := costly_horizontal_excess_probability_real h p (q.1-p.1) (t/2)
have hb := costly_vertical_excess_probability_real h
(p + displacement (horizontal (q.1-p.1))) (q.2-p.2) (t/2)
change P.real A + P.real B ≤ _
change P.real A ≤ _ at ha
change P.real B ≤ _ at hb
have he : -(t / 2) / 2 = -t / 4 := by ring
rw [he] at ha hb
linarith
end PlanarFPP
end OAI