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| import OAI.Analysis.C0Absorption.Grid | |
| namespace OAI | |
| open Set Filter Topology | |
| open scoped NNReal BigOperators ZeroAtInfty | |
| open NormedSpace | |
| namespace C0Absorption | |
| noncomputable section | |
| open Set Filter Topology | |
| open scoped NNReal BigOperators ZeroAtInfty | |
| def eta : ℝ := 1/1000 | |
| def scheduleH : ℝ := 10000 | |
| theorem eta_pos : 0 < eta := by norm_num [eta] | |
| theorem scheduleH_pos : 0 < scheduleH := by norm_num [scheduleH] | |
| theorem schedule_speed : Real.pi/scheduleH ≤ eta/2 := by | |
| have h := Real.pi_lt_four | |
| norm_num [scheduleH,eta] | |
| linarith | |
| theorem bandL_pos (j : ℕ) : 0 < (bandL j : ℝ) := by | |
| let : Nonempty (BandGrid j) := ⟨fun _ => ⟨0,by constructor; exact neg_nonpos.mpr (Int.natCast_nonneg _); exact Int.natCast_nonneg _⟩⟩ | |
| have hc : (0 : ℝ) < Fintype.card (BandGrid j) := by exact_mod_cast Fintype.card_pos | |
| simp only [bandL,NNReal.coe_mul,NNReal.coe_ofNat,NNReal.coe_natCast,NNReal.coe_pow] | |
| positivity | |
| def rho : ℕ → ℝ | |
| | 0 => 1/2 | |
| | j+1 => min (Real.exp (-scheduleH)*rho j/2) (eta/(8*bandL (j+1))) | |
| theorem rho_pos (j : ℕ) : 0 < rho j := by | |
| induction j with | |
| | zero => norm_num [rho] | |
| | succ j ih => | |
| change 0 < min _ _ | |
| exact lt_min (by positivity) (div_pos eta_pos (mul_pos (by norm_num) (bandL_pos _))) | |
| theorem rho_step (j : ℕ) : rho (j+1) < Real.exp (-scheduleH)*rho j := by | |
| have hp : 0 < Real.exp (-scheduleH)*rho j := mul_pos (Real.exp_pos _) (rho_pos j) | |
| exact (min_le_left _ _).trans_lt (by linarith) | |
| theorem rho_half_step (j : ℕ) : rho (j+1) ≤ rho j/2 := by | |
| have he : Real.exp (-scheduleH) ≤ 1 := Real.exp_le_one_iff.mpr (by norm_num [scheduleH]) | |
| exact (min_le_left _ _).trans (div_le_div_of_nonneg_right | |
| (by nlinarith [rho_pos j]) (by norm_num)) | |
| theorem rho_bound (j : ℕ) : rho j ≤ (1/2 : ℝ)^(j+1) := by | |
| induction j with | |
| | zero => norm_num [rho] | |
| | succ j ih => | |
| refine (rho_half_step j).trans ?_ | |
| rw [pow_succ] | |
| linarith | |
| theorem rho_lt_one (j : ℕ) : rho j < 1 := by | |
| have hh := rho_bound j | |
| have hp : (1/2 : ℝ)^(j+1) < 1 := pow_lt_one₀ (by norm_num) (by norm_num) (by omega) | |
| exact hh.trans_lt hp | |
| theorem rho_lip_budget {j : ℕ} (hj : 0 < j) : bandL j*rho j ≤ eta/4 := by | |
| obtain ⟨k,rfl⟩ := Nat.exists_eq_succ_of_ne_zero (Nat.ne_of_gt hj) | |
| have hh : rho (k+1) ≤ eta/(8*bandL (k+1)) := min_le_right _ _ | |
| have hp := bandL_pos (k+1) | |
| have he := (le_div_iff₀ (mul_pos (by norm_num : (0:ℝ)<8) hp)).mp hh | |
| linarith [eta_pos] | |
| theorem rho_tendsto : Tendsto rho atTop (nhds 0) := by | |
| apply squeeze_zero (fun j => (rho_pos j).le) rho_bound | |
| exact (tendsto_pow_atTop_nhds_zero_of_lt_one (by norm_num : (0:ℝ)≤1/2) (by norm_num)).comp | |
| (tendsto_add_atTop_nat 1) | |
| def ell (j : ℕ) : ℝ := Real.exp (-scheduleH)*rho (j+1) | |
| theorem ell_pos (j : ℕ) : 0 < ell j := mul_pos (Real.exp_pos _) (rho_pos _) | |
| theorem ell_tendsto : Tendsto ell atTop (nhds 0) := by | |
| change Tendsto (fun j => Real.exp (-scheduleH)*rho (j+1)) atTop (nhds 0) | |
| convert (tendsto_const_nhds (x := Real.exp (-scheduleH))).mul (rho_tendsto.comp (tendsto_add_atTop_nat 1)) using 1 <;> simp | |
| theorem log_rho_step (j : ℕ) : Real.log (rho (j+1)) < Real.log (rho j)-scheduleH := by | |
| have hh := Real.strictMonoOn_log (rho_pos (j+1)) | |
| (mul_pos (Real.exp_pos _) (rho_pos j)) (rho_step j) | |
| rwa [Real.log_mul (Real.exp_pos _).ne' (rho_pos j).ne',Real.log_exp,neg_add_eq_sub] at hh | |
| def transitionAngle (j : ℕ) (u : ℝ) : ℝ := | |
| Real.pi/(2*scheduleH) * min scheduleH (max 0 (Real.log (rho j)-u)) | |
| theorem transitionAngle_nonneg (j : ℕ) (u : ℝ) : 0 ≤ transitionAngle j u := by | |
| unfold transitionAngle | |
| exact mul_nonneg (div_nonneg Real.pi_pos.le (by norm_num [scheduleH] : 0 ≤ 2*scheduleH)) | |
| (le_min scheduleH_pos.le (le_max_left _ _)) | |
| theorem transitionAngle_le (j : ℕ) (u : ℝ) : transitionAngle j u ≤ Real.pi/2 := by | |
| have hh : min scheduleH (max 0 (Real.log (rho j)-u)) ≤ scheduleH := min_le_left _ _ | |
| have hc : 0 ≤ Real.pi/(2*scheduleH) := div_nonneg Real.pi_pos.le (by norm_num [scheduleH]) | |
| have hb := mul_le_mul_of_nonneg_left hh hc | |
| have he : Real.pi/(2*scheduleH)*scheduleH=Real.pi/2 := by norm_num [scheduleH]; ring | |
| exact hb.trans_eq he | |
| theorem transitionAngle_zero (j : ℕ) {u : ℝ} (hu : Real.log (rho j) ≤ u) : | |
| transitionAngle j u=0 := by | |
| simp only [transitionAngle,max_eq_left (by linarith : Real.log (rho j)-u ≤ 0), | |
| min_eq_right scheduleH_pos.le,mul_zero] | |
| theorem transitionAngle_full (j : ℕ) {u : ℝ} (hu : u ≤ Real.log (rho j)-scheduleH) : | |
| transitionAngle j u=Real.pi/2 := by | |
| unfold transitionAngle | |
| rw [min_eq_left (le_max_of_le_right (by linarith : scheduleH ≤ Real.log (rho j)-u))] | |
| norm_num [scheduleH] | |
| ring | |
| theorem transitionAngle_dichotomy (j : ℕ) (u : ℝ) : | |
| transitionAngle (j+1) u=0 ∨ transitionAngle j u=Real.pi/2 := by | |
| by_cases hu : Real.log (rho (j+1)) ≤ u | |
| · exact Or.inl (transitionAngle_zero (j+1) hu) | |
| · exact Or.inr (transitionAngle_full j (by linarith [log_rho_step j])) | |
| def transitionInterval (j : ℕ) : Set ℝ := Icc (Real.log (rho j)-scheduleH) (Real.log (rho j)) | |
| theorem log_rho_antitone : Antitone (fun j => Real.log (rho j)) := by | |
| apply antitone_nat_of_succ_le | |
| intro j | |
| linarith [log_rho_step j,scheduleH_pos] | |
| theorem transitionInterval_disjoint : Pairwise (fun i j => Disjoint (transitionInterval i) (transitionInterval j)) := by | |
| suffices ∀ i j, i<j → Disjoint (transitionInterval i) (transitionInterval j) by | |
| intro i j hij | |
| rcases lt_or_gt_of_ne hij with hh|hh | |
| · exact this i j hh | |
| · exact (this j i hh).symm | |
| intro i j hij | |
| have hh := (log_rho_antitone (Nat.succ_le_of_lt hij)).trans_lt (log_rho_step i) | |
| apply Set.disjoint_left.mpr | |
| intro u hi hj | |
| exact (not_le_of_gt hh) (hi.1.trans hj.2) | |
| end | |
| end C0Absorption | |
| namespace C0Absorption | |
| noncomputable section | |
| open Set Filter Topology | |
| open scoped NNReal BigOperators ZeroAtInfty | |
| theorem finite_variation_sum_lipschitz {A : Type*} [Fintype A] | |
| (f : A → ℝ → ℝ) (C : A → Set ℝ) {K : ℝ≥0} | |
| (hdis : Pairwise (fun i j => Disjoint (C i) (C j))) | |
| (hf : ∀ i, LipschitzWith K (f i)) | |
| (hconst : ∀ i x, x ∉ C i → ∀ᶠ y in nhds x, f i y=f i x) : | |
| LipschitzWith K (fun x => ∑ i,f i x) := by | |
| classical | |
| have hloc (x : ℝ) : ∀ᶠ y in nhds x, | |
| dist (∑ i,f i x) (∑ i,f i y) ≤ K*dist x y := by | |
| by_cases h : ∃ i, x ∈ C i | |
| · obtain ⟨j,hj⟩ := h | |
| have hh (i : A) : i ≠ j → ∀ᶠ y in nhds x, f i y=f i x := by | |
| intro hij | |
| exact hconst i x (fun hi => Set.disjoint_left.mp (hdis hij) hi hj) | |
| have he : ∀ᶠ y in nhds x, ∀ i, i≠j → f i y=f i x := | |
| Filter.eventually_all.mpr (fun i => by | |
| by_cases hij : i=j | |
| · exact Filter.Eventually.of_forall (by simp [hij]) | |
| · filter_upwards [hh i hij] with y hy using fun _ => hy) | |
| filter_upwards [he] with y hy | |
| rw [Real.dist_eq,← Finset.sum_sub_distrib, | |
| Finset.sum_eq_single j (fun i _ hij => by rw [hy i hij,sub_self]) (by simp)] | |
| exact (hf j).dist_le_mul x y | |
| · push Not at h | |
| filter_upwards [Filter.eventually_all.mpr (fun i => hconst i x (h i))] with y hy | |
| simp only [hy,dist_self] | |
| positivity | |
| have hc : Continuous (fun x => ∑ i,f i x) := continuous_finsetSum _ (fun i _ => (hf i).continuous) | |
| have hl := lipschitzOn_convex_of_local (convex_univ : Convex ℝ (univ : Set ℝ)) hc.continuousOn | |
| (fun x _ => by simpa only [nhdsWithin_univ] using hloc x) | |
| apply LipschitzWith.of_dist_le_mul | |
| intro x y | |
| exact hl.dist_le_mul x (mem_univ _) y (mem_univ _) | |
| def angleSpeed : ℝ≥0 := ⟨Real.pi/(2*scheduleH),div_nonneg Real.pi_pos.le (by norm_num [scheduleH])⟩ | |
| theorem transitionAngle_lipschitz (j : ℕ) : LipschitzWith angleSpeed (transitionAngle j) := by | |
| have hl : LipschitzWith 1 (fun u : ℝ => Real.log (rho j)-u) := by | |
| apply LipschitzWith.of_dist_le_mul | |
| intro u v | |
| simp only [Real.dist_eq,sub_sub_sub_cancel_left,NNReal.coe_one,one_mul,abs_sub_comm,le_refl] | |
| have hb := (hl.const_max 0).const_min scheduleH | |
| apply LipschitzWith.of_dist_le_mul | |
| intro u v | |
| change |angleSpeed*(min scheduleH (max 0 (Real.log (rho j)-u)))- | |
| angleSpeed*(min scheduleH (max 0 (Real.log (rho j)-v)))| ≤ _ | |
| rw [← mul_sub,abs_mul,abs_of_nonneg angleSpeed.coe_nonneg] | |
| exact mul_le_mul_of_nonneg_left (by simpa only [NNReal.coe_one,one_mul,Real.dist_eq] using hb.dist_le_mul u v) angleSpeed.coe_nonneg | |
| theorem transitionAngle_antitone (j : ℕ) : Antitone (transitionAngle j) := by | |
| intro u v huv | |
| apply mul_le_mul_of_nonneg_left _ angleSpeed.coe_nonneg | |
| exact min_le_min_left _ (max_le_max_left _ (by linarith)) | |
| theorem transitionAngle_locally_constant (j : ℕ) (u : ℝ) (hu : u ∉ transitionInterval j) : | |
| ∀ᶠ v in nhds u, transitionAngle j v=transitionAngle j u := by | |
| have h : u < Real.log (rho j)-scheduleH ∨ Real.log (rho j)<u := by | |
| change ¬(Real.log (rho j)-scheduleH ≤ u ∧ u ≤ Real.log (rho j)) at hu | |
| rcases lt_or_ge u (Real.log (rho j)-scheduleH) with h|h | |
| · exact Or.inl h | |
| · right | |
| by_contra hn | |
| exact hu ⟨h,le_of_not_gt hn⟩ | |
| rcases h with h|h | |
| · filter_upwards [eventually_lt_nhds h] with v hv | |
| rw [transitionAngle_full j hv.le,transitionAngle_full j h.le] | |
| · filter_upwards [eventually_gt_nhds h] with v hv | |
| rw [transitionAngle_zero j hv.le,transitionAngle_zero j h.le] | |
| theorem angle_sum_distance (J : ℕ) (u v : ℝ) : | |
| (∑ j : Fin J, |transitionAngle (j+1) u-transitionAngle (j+1) v|) ≤ | |
| angleSpeed*dist u v := by | |
| have hh := finite_variation_sum_lipschitz | |
| (fun j : Fin J => transitionAngle (j+1)) (fun j : Fin J => transitionInterval (j+1)) | |
| (fun i j hij => transitionInterval_disjoint (by intro he; exact hij (Fin.ext (by omega)))) | |
| (fun j => transitionAngle_lipschitz (j+1)) | |
| (fun j => transitionAngle_locally_constant (j+1)) | |
| have he (x y : ℝ) (hxy : x≤y) : | |
| (∑ j : Fin J, |transitionAngle (j+1) x-transitionAngle (j+1) y|) = | |
| dist (∑ j : Fin J,transitionAngle (j+1) x) (∑ j : Fin J,transitionAngle (j+1) y) := by | |
| rw [Real.dist_eq,← Finset.sum_sub_distrib,abs_of_nonneg] | |
| · apply Finset.sum_congr rfl | |
| intro j _ | |
| exact abs_of_nonneg (sub_nonneg.mpr (transitionAngle_antitone (j+1) hxy)) | |
| · exact Finset.sum_nonneg (fun j _ => sub_nonneg.mpr (transitionAngle_antitone (j+1) hxy)) | |
| rcases le_total u v with huv|hvu | |
| · rw [he u v huv] | |
| exact hh.dist_le_mul u v | |
| · have heq : (∑ j : Fin J, |transitionAngle (j+1) u-transitionAngle (j+1) v|)= | |
| ∑ j : Fin J, |transitionAngle (j+1) v-transitionAngle (j+1) u| := | |
| Finset.sum_congr rfl (fun j _ => abs_sub_comm _ _) | |
| rw [heq,he v u hvu] | |
| simpa only [dist_comm] using hh.dist_le_mul v u | |
| end | |
| end C0Absorption | |
| end OAI | |