Download lean/OAI/Probability/LatticePassage/LocalizationMean.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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6.69 kB
| import OAI.Probability.LatticePassage.LocalPassage | |
| namespace OAI | |
| namespace CompanionFPP | |
| open MeasureTheory Real | |
| lemma integrable_trail_exp {x y : Vertex} (p : lattice.Walk x y) (hp : p.IsTrail) : | |
| Integrable (fun ω : Environment => exp (pathCost ω p / 2)) environmentLaw := by | |
| apply (lintegral_ofReal_ne_top_iff_integrable (by fun_prop) | |
| (by filter_upwards [] with ω; positivity)).mp | |
| rw [trail_positive_moment p hp] | |
| finiteness | |
| lemma integral_trail_exp {x y : Vertex} (p : lattice.Walk x y) (hp : p.IsTrail) : | |
| (∫ ω : Environment, exp (pathCost ω p / 2) ∂environmentLaw) = (2 : ℝ)^p.length := by | |
| rw [integral_eq_lintegral_of_nonneg_ae (by filter_upwards [] with ω; positivity) | |
| (by fun_prop), trail_positive_moment p hp] | |
| simp | |
| lemma integrable_trail_cost {x y : Vertex} (p : lattice.Walk x y) (hp : p.IsTrail) : | |
| Integrable (fun ω : Environment => pathCost ω p) environmentLaw := by | |
| apply ((integrable_trail_exp p hp).const_mul 2).mono' (by fun_prop) | |
| filter_upwards [all_edge_weights_positive] with ω hω | |
| rw [Real.norm_eq_abs, abs_of_nonneg (pathCost_nonneg ω (fun e => (hω e).le) p)] | |
| have he := add_one_le_exp (pathCost ω p / 2) | |
| linarith | |
| lemma localPassageTime_le_pathCost (ω : Environment) {x y : Vertex} {R : ℕ} | |
| (p : lattice.Walk x y) (hp : p.IsPath) (hl : p.length < R) : | |
| localPassageTime ω x y R ≤ pathCost ω p := | |
| csInf_le (local_costs_finite ω x y R).bddBelow ⟨p,hp,hl,rfl⟩ | |
| lemma passageTime_le_localPassageTime (ω : Environment) (hω : ∀ e, 0 ≤ ω e) | |
| (x y : Vertex) (R : ℕ) (hR : latticeDistance x y < R) : | |
| passageTime ω x y ≤ localPassageTime ω x y R := by | |
| obtain ⟨p,_,_,hp⟩ := local_geodesic_exists ω x y R hR | |
| rw [← hp] | |
| exact passageTime_le_pathCost ω hω p | |
| theorem integrable_localPassageTime (x y : Vertex) (R : ℕ) | |
| (hR : latticeDistance x y < R) : | |
| Integrable (fun ω : Environment => localPassageTime ω x y R) environmentLaw := by | |
| obtain ⟨p,hp,hl⟩ := coordinate_path x y | |
| apply (integrable_trail_cost p hp.isTrail).mono' (by fun_prop) | |
| filter_upwards [all_edge_weights_positive] with ω hω | |
| have ht := passageTime_nonneg ω (fun e => (hω e).le) (lattice_walk x y) | |
| have hn := passageTime_le_localPassageTime ω (fun e => (hω e).le) x y R hR | |
| rw [Real.norm_eq_abs, abs_of_nonneg (ht.trans hn)] | |
| exact localPassageTime_le_pathCost ω p hp (hl.trans_lt hR) | |
| private lemma rare_cost_pointwise (S u : ℝ) (hu : 0 ≤ u) (P : Prop) [Decidable P] : | |
| (if P then S else 0) ≤ (if P then u else 0) + 4*exp (-u/4)*exp (S/2) := by | |
| by_cases hP : P | |
| · simp only [ite_eq_left hP] | |
| by_cases hs : S ≤ u | |
| · have : 0 ≤ 4*exp (-u/4)*exp (S/2) := by positivity | |
| linarith | |
| · have he := add_one_le_exp (S/4) | |
| have he' : exp (S/4) ≤ exp (-u/4 + S/2) := by | |
| rw [exp_le_exp] | |
| linarith | |
| rw [mul_assoc, ← exp_add] | |
| linarith | |
| · simp only [ite_eq_right hP, zero_add] | |
| positivity | |
| theorem rare_cost_integral {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω) | |
| [IsFiniteMeasure μ] (S : Ω → ℝ) (hS : Integrable S μ) | |
| (he : Integrable (fun ω => exp (S ω / 2)) μ) (F : Set Ω) (hF : MeasurableSet F) | |
| (u : ℝ) (hu : 0 ≤ u) : | |
| (∫ ω, F.indicator S ω ∂μ) ≤ | |
| u * μ.real F + 4*exp (-u/4) * (∫ ω, exp (S ω/2) ∂μ) := by | |
| classical | |
| have hbound := integral_mono_ae (hS.indicator hF) | |
| (((integrable_const u).indicator hF).add (he.const_mul (4*exp (-u/4)))) | |
| (Filter.Eventually.of_forall (fun ω => rare_cost_pointwise (S ω) u hu (ω ∈ F))) | |
| simp only [Pi.add_apply] at hbound | |
| rw [integral_add ((integrable_const u).indicator hF) (he.const_mul (4*exp (-u/4))), | |
| integral_const_mul, integral_indicator_const u hF] at hbound | |
| simpa [smul_eq_mul, mul_comm] using hbound | |
| theorem localPassageTime_mean_error (x y : Vertex) (R : ℕ) (hR : 1 ≤ R) | |
| (hscale : 40*latticeDistance x y ≤ R) : | |
| (∫ ω : Environment, localPassageTime ω x y R - passageTime ω x y ∂environmentLaw) ≤ | |
| (R : ℝ) * ((11/3 : ℝ)*exp (-(log 2/40)*R)) + | |
| 4*exp (-(R : ℝ)/4)*(2 : ℝ)^latticeDistance x y := by | |
| classical | |
| have hd : latticeDistance x y < R := by omega | |
| obtain ⟨p,hp,hl⟩ := coordinate_path x y | |
| let F := {ω : Environment | localPassageTime ω x y R ≠ passageTime ω x y} | |
| have hF : MeasurableSet F := (measurableSet_eq_fun (measurable_localPassageTime x y R) | |
| (measurable_passageTime x y)).compl | |
| have hcost := integrable_trail_cost p hp.isTrail | |
| have hb : (∫ ω : Environment, localPassageTime ω x y R - passageTime ω x y ∂environmentLaw) ≤ | |
| ∫ ω, F.indicator (fun ω => pathCost ω p) ω ∂environmentLaw := by | |
| apply integral_mono_ae ((integrable_localPassageTime x y R hd).sub (integrable_passageTime x y)) | |
| (hcost.indicator hF) | |
| filter_upwards [all_edge_weights_positive] with ω hω | |
| simp only [Pi.sub_apply] | |
| by_cases hf : ω ∈ F | |
| · rw [Set.indicator_of_mem hf] | |
| have h₁ := localPassageTime_le_pathCost ω p hp (hl.trans_lt hd) | |
| have h₂ := passageTime_nonneg ω (fun e => (hω e).le) (lattice_walk x y) | |
| linarith | |
| · rw [Set.indicator_of_notMem hf] | |
| have heq : localPassageTime ω x y R = passageTime ω x y := not_not.mp hf | |
| rw [heq, sub_self] | |
| apply hb.trans | |
| have hm := rare_cost_integral environmentLaw (fun ω => pathCost ω p) hcost | |
| (integrable_trail_exp p hp.isTrail) F hF (R : ℝ) (by positivity) | |
| rw [integral_trail_exp p hp.isTrail] at hm | |
| apply hm.trans | |
| apply add_le_add | |
| · exact mul_le_mul_of_nonneg_left (localPassageTime_failure_probability x y R hR hscale) | |
| (Nat.cast_nonneg _) | |
| · gcongr | |
| norm_num | |
| theorem localPassageTime_mean_error_exponential (x y : Vertex) (R : ℕ) (hR : 1 ≤ R) | |
| (hscale : 40*latticeDistance x y ≤ R) : | |
| (∫ ω : Environment, localPassageTime ω x y R - passageTime ω x y ∂environmentLaw) ≤ | |
| ((11/3 : ℝ)*R + 4) * exp (-(log 2/40)*R) := by | |
| apply (localPassageTime_mean_error x y R hR hscale).trans | |
| have hn : 0 ≤ (R : ℝ) := Nat.cast_nonneg _ | |
| have hl : 40*(latticeDistance x y : ℝ) ≤ R := by exact_mod_cast hscale | |
| have hlog : log (2 : ℝ) ≤ 1 := by | |
| have := log_le_sub_one_of_pos (by norm_num : (0 : ℝ) < 2) | |
| linarith | |
| have hpow : (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)] | |
| have hb : exp (-(R : ℝ)/4) * (2 : ℝ)^latticeDistance x y ≤ | |
| exp (-(log 2/40)*R) := by | |
| rw [hpow, ← exp_add, exp_le_exp] | |
| have hd : 0 ≤ (latticeDistance x y : ℝ) := Nat.cast_nonneg _ | |
| nlinarith | |
| nlinarith | |
| end CompanionFPP | |
| end OAI | |