openAI-math-dataset / lean /OAI /Probability /LatticePassage /CenteredLocalization.lean
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Add lean source and binary files (part 125)
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import OAI.Probability.LatticePassage.NaturalMoment
namespace OAI
namespace CompanionFPP
open MeasureTheory Real
lemma mean_passageTime_nonneg (x y : Vertex) :
0 ≤ ∫ ω : Environment, passageTime ω x y ∂environmentLaw := by
apply integral_nonneg_of_ae
filter_upwards [passageTime_properties] with ω hω
exact hω.1 x y
theorem passageTime_centered_large (x y : Vertex) (hd : 1 ≤ latticeDistance x y)
(u : ℝ) (hu : 4*(latticeDistance x y : ℝ) ≤ u) :
environmentLaw.real {ω : Environment |
u ≤ |passageTime ω x y - ∫ η : Environment, passageTime η x y ∂environmentLaw|} ≤
exp (-u/4) := by
have hm := mean_passageTime_le_distance x y
have hm0 := mean_passageTime_nonneg x y
have hd' : (1 : ℝ) ≤ latticeDistance x y := by exact_mod_cast hd
have hsub : environmentLaw {ω : Environment |
u ≤ |passageTime ω x y - ∫ η : Environment, passageTime η x y ∂environmentLaw|} ≤
environmentLaw {ω : Environment | u ≤ passageTime ω x y} := by
apply measure_mono_ae
filter_upwards [passageTime_properties] with ω hω
intro he
have hn := hω.1 x y
rcases le_abs.mp he with he | he <;> linarith
apply (ENNReal.toReal_mono (measure_ne_top _ _) hsub).trans
apply (passageTime_upper_tail x y u).trans
rw [show (2 : ℝ)^latticeDistance x y = exp ((latticeDistance x y : ℝ)*log 2) by
rw [exp_nat_mul, exp_log (by norm_num : (0 : ℝ) < 2)], ← exp_add, exp_le_exp]
have hlog := log_le_sub_one_of_pos (by norm_num : (0 : ℝ) < 2)
nlinarith
theorem passageTime_centered_large_sqrt (x y : Vertex) (hd : 1 ≤ latticeDistance x y)
(t : ℝ) (ht : 4*sqrt (latticeDistance x y) ≤ t) :
environmentLaw.real {ω : Environment |
t*sqrt (latticeDistance x y) ≤
|passageTime ω x y - ∫ η : Environment, passageTime η x y ∂environmentLaw|} ≤
exp (-t/4) := by
have hd' : (1 : ℝ) ≤ latticeDistance x y := by exact_mod_cast hd
have hs := sqrt_nonneg (latticeDistance x y : ℝ)
have hsq := sq_sqrt (show 0 ≤ (latticeDistance x y : ℝ) by positivity)
have hs1 : 1 ≤ sqrt (latticeDistance x y : ℝ) := by nlinarith
have ht0 : 0 ≤ t := by linarith
apply (passageTime_centered_large x y hd (t*sqrt (latticeDistance x y))
(by nlinarith)).trans
rw [exp_le_exp]
nlinarith
theorem localPassageTime_center_shift (x y : Vertex) (R : ℕ) (hR : 1 ≤ R)
(hscale : 40*latticeDistance x y ≤ R) :
|(∫ ω : Environment, localPassageTime ω x y R ∂environmentLaw) -
(∫ ω : Environment, passageTime ω x y ∂environmentLaw)| ≤
((11/3 : ℝ)*R+4)*exp (-(log 2/40)*R) := by
have hd : latticeDistance x y < R := by omega
have hn : 0 ≤ (∫ ω : Environment, localPassageTime ω x y R ∂environmentLaw) -
(∫ ω : Environment, passageTime ω x y ∂environmentLaw) := by
apply sub_nonneg.mpr
apply integral_mono_ae (integrable_passageTime x y) (integrable_localPassageTime x y R hd)
filter_upwards [all_edge_weights_positive] with ω hω
exact passageTime_le_localPassageTime ω (fun e => (hω e).le) x y R hd
rw [abs_of_nonneg hn, ← integral_sub (integrable_localPassageTime x y R hd)
(integrable_passageTime x y)]
exact localPassageTime_mean_error_exponential x y R hR hscale
theorem passageTime_centered_localization (x y : Vertex) (R : ℕ) (hR : 1 ≤ R)
(hscale : 40*latticeDistance x y ≤ R) (u : ℝ) :
environmentLaw.real {ω : Environment |
u ≤ |passageTime ω x y - ∫ η : Environment, passageTime η x y ∂environmentLaw|} ≤
(11/3 : ℝ)*exp (-(log 2/40)*R) +
environmentLaw.real {ω : Environment |
u - ((11/3 : ℝ)*R+4)*exp (-(log 2/40)*R) ≤
|localPassageTime ω x y R -
∫ η : Environment, localPassageTime η x y R ∂environmentLaw|} := by
let F := {ω : Environment | localPassageTime ω x y R ≠ passageTime ω x y}
let G := {ω : Environment |
u - ((11/3 : ℝ)*R+4)*exp (-(log 2/40)*R) ≤
|localPassageTime ω x y R -
∫ η : Environment, localPassageTime η x y R ∂environmentLaw|}
have hs : {ω : Environment |
u ≤ |passageTime ω x y - ∫ η : Environment, passageTime η x y ∂environmentLaw|} ⊆
F ∪ G := by
intro ω hω
by_cases hf : ω ∈ F
· exact Or.inl hf
· right
have he : localPassageTime ω x y R = passageTime ω x y := not_not.mp hf
have hb := abs_add_le (localPassageTime ω x y R -
∫ η : Environment, localPassageTime η x y R ∂environmentLaw)
((∫ η : Environment, localPassageTime η x y R ∂environmentLaw) -
∫ η : Environment, passageTime η x y ∂environmentLaw)
rw [sub_add_sub_cancel, he] at hb
have hc := localPassageTime_center_shift x y R hR hscale
change u ≤ |passageTime ω x y - ∫ η : Environment, passageTime η x y ∂environmentLaw| at hω
change u - ((11/3 : ℝ)*R+4)*exp (-(log 2/40)*R) ≤
|localPassageTime ω x y R - ∫ η : Environment, localPassageTime η x y R ∂environmentLaw|
rw [he]
linarith
apply (measureReal_mono hs).trans
apply (measureReal_union_le F G).trans
exact add_le_add (localPassageTime_failure_probability x y R hR hscale) le_rfl
end CompanionFPP
end OAI