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| import Mathlib | |
| import OAI.Probability.LogConcave.Dynamics.Truncated | |
| namespace OAI | |
| section | |
| section | |
| noncomputable section | |
| namespace LogConcaveSampling.GlobalODE | |
| open Set Function Filter Metric | |
| open scoped Topology NNReal | |
| def variationalField {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] | |
| (f : E → E) (p : E × (E →L[ℝ] E)) : E × (E →L[ℝ] E) := | |
| (f p.1,(fderiv ℝ f p.1).comp p.2) | |
| lemma variationalField_smooth {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] | |
| {f : E → E} {n : ℕ} (hf : ContDiff ℝ ((n:WithTop ℕ∞)+1) f) : | |
| ContDiff ℝ (n:WithTop ℕ∞) (variationalField f) := | |
| ((hf.of_le (by exact_mod_cast Nat.le_succ n)).comp contDiff_fst).prodMk | |
| (((hf.fderiv_right le_rfl).comp contDiff_fst).clm_comp contDiff_snd) | |
| lemma truncated_contDiff {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] | |
| [FiniteDimensional ℝ E] {f : E → E} {k : ℕ} (hf : ContDiff ℝ (k:WithTop ℕ∞) f) (n : ℕ) : | |
| ContDiff ℝ (k:WithTop ℕ∞) (LinearGrowthODE.truncated f n) := | |
| (((PoincareCutoff.bump (E:=E)).contDiff).comp (contDiff_id.const_smul _)).smul hf | |
| theorem autonomous_flow_contDiff (n : ℕ) : | |
| ∀ {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] | |
| {f : E → E} (hf : ContDiff ℝ (n:WithTop ℕ∞) f) {K : ℝ≥0} | |
| (hL : LipschitzWith K f) {a b : ℝ} (hab : a≤b) (t : Icc a b), | |
| ContDiff ℝ (n:WithTop ℕ∞) (fun x => flow (fun _ _ => hL) | |
| (hf.continuous.comp continuous_snd) ⟨a,le_rfl,hab⟩ x t) := by | |
| induction n with | |
| | zero => | |
| intro E _ _ _ f hf K hL a b hab t | |
| exact contDiff_zero.mpr (flow_lipschitz (fun _ _ => hL) | |
| (hf.continuous.comp continuous_snd) ⟨a,le_rfl,hab⟩ t).continuous | |
| | succ n ih => | |
| intro E _ _ _ f hf K hL a b hab t | |
| have hf1 : ContDiff ℝ 1 f := hf.of_le (by exact_mod_cast Nat.succ_pos n) | |
| let hc : Continuous (uncurry (fun (_ : ℝ) => f)) := hf.continuous.comp continuous_snd | |
| let hD : Continuous (uncurry (fun (_ : ℝ) => fderiv ℝ f)) := | |
| (hf1.continuous_fderiv (by norm_num)).comp continuous_snd | |
| let hd : ∀ (u : ℝ) (z : E),HasFDerivAt f (fderiv ℝ f z) z := | |
| fun _ z => (hf1.differentiable (by norm_num) z).hasFDerivAt | |
| cases n with | |
| | zero => | |
| exact flow_contDiff_one_left hab hc (fun _ _ => hL) hD hd t | |
| | succ m => | |
| let J := flowLinearization hab hc (fun _ _ => hL) hD hd | |
| let X := fun x => flow (fun _ _ => hL) hc ⟨a,le_rfl,hab⟩ x | |
| have hXd (x : E) : HasFDerivAt (fun z => X z t) (J x t) x := | |
| flow_hasFDerivAt_left hab hc (fun _ _ => hL) hD hd x t | |
| change ContDiff ℝ (((m+1:ℕ):WithTop ℕ∞)+1) (fun x => X x t) | |
| apply contDiff_succ_iff_hasFDerivAt.mpr | |
| refine ⟨fun x => J x t,?_,hXd⟩ | |
| apply contDiff_iff_contDiffAt.mpr | |
| intro x₀ | |
| let V := variationalField f | |
| have hV : ContDiff ℝ ((m+1:ℕ):WithTop ℕ∞) V := variationalField_smooth (by simpa using hf) | |
| have hV1 : ContDiff ℝ 1 V := hV.of_le (by exact_mod_cast Nat.succ_pos m) | |
| obtain ⟨A,hA⟩ := isCompact_Icc.exists_bound_of_continuousOn | |
| (flow_continuous (fun _ _ => hL) hc ⟨a,le_rfl,hab⟩ (0:E)).continuousOn | |
| let C := Real.exp ((K:ℝ)*(b-a)) | |
| have hC : 0<C := Real.exp_pos _ | |
| obtain ⟨N,hN⟩ := exists_nat_gt (max (A+C*(‖x₀‖+1)) C) | |
| let W := LinearGrowthODE.truncated V N | |
| have hW : ContDiff ℝ ((m+1:ℕ):WithTop ℕ∞) W := truncated_contDiff hV N | |
| obtain ⟨L,hWL⟩ := LinearGrowthODE.truncated_lipschitz hV1 N | |
| have hWc : Continuous (uncurry (fun (_ : ℝ) => W)) := hW.continuous.comp continuous_snd | |
| let Z (p : E × (E →L[ℝ] E)) := flow (fun _ _ => hWL) hWc ⟨a,le_rfl,hab⟩ p t | |
| have hZ : ContDiff ℝ ((m+1:ℕ):WithTop ℕ∞) Z := ih hW hWL hab t | |
| have hloc : (fun x => J x t) =ᶠ[𝓝 x₀] | |
| (fun x => (Z (x,ContinuousLinearMap.id ℝ E)).2) := by | |
| filter_upwards [Metric.ball_mem_nhds x₀ zero_lt_one] with x hx | |
| have hxn : ‖x‖≤‖x₀‖+1 := by | |
| have hh := norm_le_norm_add_norm_sub x₀ x | |
| rw [←dist_eq_norm, dist_comm] at hh | |
| linarith [Metric.mem_ball.mp hx] | |
| have hb (u : Icc a b) : ‖(X x u,J x u)‖≤(N:ℝ)+1 := by | |
| have hu : |(u:ℝ)-a|≤b-a := by | |
| rw [abs_of_nonneg (sub_nonneg.mpr u.2.1)]; linarith [u.2.2] | |
| have hex : Real.exp ((K:ℝ)*|(u:ℝ)-a|)≤C := | |
| Real.exp_le_exp.mpr (mul_le_mul_of_nonneg_left hu K.coe_nonneg) | |
| have hX : ‖X x u‖≤A+C*(‖x₀‖+1) := by | |
| have hs := (flow_lipschitz (fun _ _ => hL) hc ⟨a,le_rfl,hab⟩ u).dist_le_mul x 0 | |
| simp only [dist_zero_right] at hs | |
| have hn : ‖X x u‖≤‖X 0 u‖+dist (X x u) (X 0 u) := by | |
| simpa only [dist_eq_norm, norm_sub_rev] using | |
| (norm_le_norm_add_norm_sub (X 0 u) (X x u)) | |
| exact hn.trans (add_le_add (hA u u.2) (hs.trans | |
| (mul_le_mul hex hxn (norm_nonneg _) hC.le))) | |
| have hJ : ‖J x u‖≤C := | |
| (fundamental_norm_bound ⟨a,le_rfl,hab⟩ | |
| (flowSpatialCoefficient_continuous hab hc (fun _ _ => hL) hD x) | |
| (flowSpatialCoefficient_bound hab hc (fun _ _ => hL) hd x) u).trans hex | |
| rw [Prod.norm_def] | |
| exact (max_le_max hX hJ).trans (by linarith) | |
| have he (u : ℝ) (hu : u∈Icc a b) : W (X x u,J x u)=V (X x u,J x u) := | |
| LinearGrowthODE.truncated_eq (hb ⟨u,hu⟩) | |
| have hcP : Continuous (fun u => (X x u,J x u)) := | |
| (flow_continuous (fun _ _ => hL) hc _ x).prodMk | |
| (fundamental_continuous ⟨a,le_rfl,hab⟩ | |
| (flowSpatialCoefficient_continuous hab hc (fun _ _ => hL) hD x) | |
| (flowSpatialCoefficient_bound hab hc (fun _ _ => hL) hd x)) | |
| have hdP (u : ℝ) (hu : u∈Icc a b) : | |
| HasDerivWithinAt (fun u => (X x u,J x u)) (W (X x u,J x u)) (Icc a b) u := by | |
| rw [he u hu] | |
| exact (flow_deriv (fun _ _ => hL) hc _ x u hu).prodMk | |
| (fundamental_deriv ⟨a,le_rfl,hab⟩ | |
| (flowSpatialCoefficient_continuous hab hc (fun _ _ => hL) hD x) | |
| (flowSpatialCoefficient_bound hab hc (fun _ _ => hL) hd x) u hu) | |
| have hs := trajectory_dist (fun (_ : ℝ) _ => hWL) hcP.continuousOn hdP | |
| (flow_continuous (fun _ _ => hWL) hWc ⟨a,le_rfl,hab⟩ (x,ContinuousLinearMap.id ℝ E)).continuousOn | |
| (flow_deriv (fun _ _ => hWL) hWc ⟨a,le_rfl,hab⟩ (x,ContinuousLinearMap.id ℝ E)) | |
| ⟨a,le_rfl,hab⟩ t | |
| have hi : (X x a,J x a)=(x,ContinuousLinearMap.id ℝ E) := by | |
| apply Prod.ext | |
| · exact flow_initial (fun _ _ => hL) hc ⟨a,le_rfl,hab⟩ x | |
| · exact fundamental_initial ⟨a,le_rfl,hab⟩ | |
| (flowSpatialCoefficient_continuous hab hc (fun _ _ => hL) hD x) | |
| (flowSpatialCoefficient_bound hab hc (fun _ _ => hL) hd x) | |
| rw [show (⟨a,le_rfl,hab⟩ : Icc a b).val=a from rfl,hi,flow_initial, | |
| dist_self,zero_mul,dist_le_zero] at hs | |
| exact congrArg Prod.snd hs | |
| exact (hZ.comp (contDiff_id.prodMk contDiff_const)).snd.contDiffAt.congr_of_eventuallyEq hloc | |
| end LogConcaveSampling.GlobalODE | |
| end | |
| end | |
| section | |
| noncomputable section | |
| namespace LogConcaveSampling.GlobalODE | |
| open Set Function Filter Metric | |
| open scoped Topology NNReal | |
| theorem smooth_flow_left {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] | |
| [FiniteDimensional ℝ E] {n : ℕ} {f : ℝ → E → E} | |
| (hf : ContDiff ℝ (n:WithTop ℕ∞) (uncurry f)) {K : ℝ≥0} {a b : ℝ} | |
| (hL : ∀t∈Icc a b,LipschitzWith K (f t)) (hab : a≤b) (t : Icc a b) : | |
| ContDiff ℝ (n:WithTop ℕ∞) (fun x => flow hL hf.continuous ⟨a,le_rfl,hab⟩ x t) := by | |
| cases n with | |
| | zero => exact contDiff_zero.mpr (flow_lipschitz hL hf.continuous _ t).continuous | |
| | succ n => | |
| let V : ℝ × E → ℝ × E := fun p => (1,f p.1 p.2) | |
| have hV : ContDiff ℝ ((n+1:ℕ):WithTop ℕ∞) V := contDiff_const.prodMk hf | |
| have hV1 : ContDiff ℝ 1 V := hV.of_le (by exact_mod_cast Nat.succ_pos n) | |
| let X := fun x => flow hL hf.continuous ⟨a,le_rfl,hab⟩ x | |
| apply contDiff_iff_contDiffAt.mpr | |
| intro x₀ | |
| obtain ⟨A,hA⟩ := isCompact_Icc.exists_bound_of_continuousOn | |
| ((flow_continuous hL hf.continuous ⟨a,le_rfl,hab⟩ (0:E)).continuousOn : | |
| ContinuousOn (X 0) (Icc a b)) | |
| let C := Real.exp ((K:ℝ)*(b-a)) | |
| have hC : 0<C := Real.exp_pos _ | |
| obtain ⟨N,hN⟩ := exists_nat_gt (max (max |a| |b|) (A+C*(‖x₀‖+1))) | |
| let W := LinearGrowthODE.truncated V N | |
| have hW : ContDiff ℝ ((n+1:ℕ):WithTop ℕ∞) W := truncated_contDiff hV N | |
| obtain ⟨L,hWL⟩ := LinearGrowthODE.truncated_lipschitz hV1 N | |
| have hWc : Continuous (uncurry (fun (_ : ℝ) => W)) := hW.continuous.comp continuous_snd | |
| let Z (p : ℝ × E) := flow (fun _ _ => hWL) hWc ⟨a,le_rfl,hab⟩ p t | |
| have hZ : ContDiff ℝ ((n+1:ℕ):WithTop ℕ∞) Z := autonomous_flow_contDiff _ hW hWL hab t | |
| have he : (fun x => X x t) =ᶠ[𝓝 x₀] (fun x => (Z (a,x)).2) := by | |
| filter_upwards [ball_mem_nhds x₀ zero_lt_one] with x hx | |
| have hxn : ‖x‖≤‖x₀‖+1 := by | |
| have hh := norm_le_norm_add_norm_sub x₀ x | |
| rw [←dist_eq_norm,dist_comm] at hh | |
| linarith [mem_ball.mp hx] | |
| have hb (u : Icc a b) : ‖((u:ℝ),X x u)‖≤(N:ℝ)+1 := by | |
| have hu : |(u:ℝ)-a|≤b-a := by | |
| rw [abs_of_nonneg (sub_nonneg.mpr u.2.1)]; linarith [u.2.2] | |
| have hex : Real.exp ((K:ℝ)*|(u:ℝ)-a|)≤C := | |
| Real.exp_le_exp.mpr (mul_le_mul_of_nonneg_left hu K.coe_nonneg) | |
| have hX : ‖X x u‖≤A+C*(‖x₀‖+1) := by | |
| have hs := (flow_lipschitz hL hf.continuous ⟨a,le_rfl,hab⟩ u).dist_le_mul x 0 | |
| simp only [dist_zero_right] at hs | |
| have hn : ‖X x u‖≤‖X 0 u‖+dist (X x u) (X 0 u) := by | |
| simpa only [dist_eq_norm,norm_sub_rev] using (norm_le_norm_add_norm_sub (X 0 u) (X x u)) | |
| exact hn.trans (add_le_add (hA u u.2) (hs.trans | |
| (mul_le_mul hex hxn (norm_nonneg _) hC.le))) | |
| have hau : |(u:ℝ)| ≤ max |a| |b| := by | |
| rw [abs_le] | |
| exact ⟨by linarith [neg_abs_le a,le_max_left |a| |b|,u.2.1], | |
| by linarith [le_abs_self b,le_max_right |a| |b|,u.2.2]⟩ | |
| rw [Prod.norm_def,Real.norm_eq_abs] | |
| exact (max_le_max hau hX).trans (by linarith) | |
| have heW (u : ℝ) (hu : u∈Icc a b) : W (u,X x u)=V (u,X x u) := | |
| LinearGrowthODE.truncated_eq (hb ⟨u,hu⟩) | |
| have hcP : Continuous (fun u => (u,X x u)) := | |
| continuous_id.prodMk (flow_continuous hL hf.continuous _ x) | |
| have hdP (u : ℝ) (hu : u∈Icc a b) : | |
| HasDerivWithinAt (fun u => (u,X x u)) (W (u,X x u)) (Icc a b) u := by | |
| rw [heW u hu] | |
| exact (hasDerivWithinAt_id u (Icc a b)).prodMk (flow_deriv hL hf.continuous _ x u hu) | |
| have hs := trajectory_dist (fun (_ : ℝ) _ => hWL) hcP.continuousOn hdP | |
| (flow_continuous (fun _ _ => hWL) hWc ⟨a,le_rfl,hab⟩ (a,x)).continuousOn | |
| (flow_deriv (fun _ _ => hWL) hWc ⟨a,le_rfl,hab⟩ (a,x)) ⟨a,le_rfl,hab⟩ t | |
| have hi : (a,X x a)=(a,x) := by rw [show X x a=x from flow_initial hL hf.continuous _ x] | |
| rw [show (⟨a,le_rfl,hab⟩ : Icc a b).val=a from rfl,hi,flow_initial, | |
| dist_self,zero_mul,dist_le_zero] at hs | |
| exact congrArg Prod.snd hs | |
| exact (hZ.comp (contDiff_const.prodMk contDiff_id)).snd.contDiffAt.congr_of_eventuallyEq he | |
| lemma flow_congr {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] | |
| {a b : ℝ} {f g : ℝ → E → E} {K L : ℝ≥0} | |
| (hf : Continuous (uncurry f)) (hg : Continuous (uncurry g)) | |
| (hL : ∀t∈Icc a b,LipschitzWith K (f t)) | |
| (hJ : ∀t∈Icc a b,LipschitzWith L (g t)) | |
| (he : ∀t∈Icc a b,∀x,f t x=g t x) (s t : Icc a b) (x : E) : | |
| flow hL hf s x t=flow hJ hg s x t := by | |
| have hd (u : ℝ) (hu : u∈Icc a b) := flow_deriv hJ hg s x u hu | |
| have hh := trajectory_dist hL (flow_continuous hL hf s x).continuousOn | |
| (flow_deriv hL hf s x) (flow_continuous hJ hg s x).continuousOn | |
| (fun u hu => (he u hu _) ▸ flow_deriv hJ hg s x u hu) s t | |
| simpa only [flow_initial,dist_self,zero_mul,dist_le_zero] using hh | |
| end LogConcaveSampling.GlobalODE | |
| namespace LogConcaveSampling.GlobalODE | |
| open Set Function | |
| open scoped Topology NNReal | |
| theorem smooth_flow {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] | |
| [FiniteDimensional ℝ E] {n : ℕ} {f : ℝ → E → E} | |
| (hf : ContDiff ℝ (n:WithTop ℕ∞) (uncurry f)) {K : ℝ≥0} {a b : ℝ} | |
| (hL : ∀t∈Icc a b,LipschitzWith K (f t)) (hab : a≤b) (s t : Icc a b) : | |
| ContDiff ℝ (n:WithTop ℕ∞) (fun x => flow hL hf.continuous s x t) := by | |
| cases n with | |
| | zero => exact contDiff_zero.mpr (flow_lipschitz hL hf.continuous s t).continuous | |
| | succ n => | |
| have hf1 : ContDiff ℝ 1 (uncurry f) := hf.of_le (by exact_mod_cast Nat.succ_pos n) | |
| let D : ℝ → E → E →L[ℝ] E := fun u x => | |
| (fderiv ℝ (uncurry f) (u,x)).comp (ContinuousLinearMap.inr ℝ ℝ E) | |
| have hD : Continuous (uncurry D) := | |
| (hf1.continuous_fderiv (by norm_num)).clm_comp continuous_const | |
| have hd (u : ℝ) (z : E) : HasFDerivAt (f u) (D u z) z := by | |
| exact ((hf1.differentiable (by norm_num) (u,z)).hasFDerivAt).comp z | |
| ((hasFDerivAt_const u z).prodMk (hasFDerivAt_id z)) | |
| have hi (u : Icc a b) : ContDiff ℝ ((n+1:ℕ):WithTop ℕ∞) | |
| (fun x => flow hL hf.continuous u x a) := by | |
| let H := flowHomeomorph hL hf.continuous ⟨a,le_rfl,hab⟩ u | |
| let J (x : E) := fundamentalEquiv | |
| (flowSpatialCoefficient_continuous hab hf.continuous hL hD x) | |
| (flowSpatialCoefficient_bound hab hf.continuous hL hd x) ⟨a,le_rfl,hab⟩ u | |
| have hJ (x : E) : HasFDerivAt H (J x : E →L[ℝ] E) x := | |
| flow_hasFDerivAt_left hab hf.continuous hL hD hd x u | |
| exact H.contDiff_symm hJ (smooth_flow_left hf hL hab u) | |
| have hh := (smooth_flow_left hf hL hab t).comp (hi s) | |
| convert! hh using 1 | |
| funext x | |
| exact (flow_cocycle hL hf.continuous s ⟨a,le_rfl,hab⟩ t x).symm | |
| end LogConcaveSampling.GlobalODE | |
| end | |
| end | |
| end | |
| end OAI | |