import Mathlib import OAI.Probability.JammingConcavity.RowMixedCalculus namespace OAI /-! Row Integral Jets. -/ noncomputable section open MeasureTheory ProbabilityTheory Set open scoped NNReal ENNReal open Set Filter open scoped Topology open MeasureTheory ProbabilityTheory Filter Set open scoped ENNReal NNReal Topology BigOperators open MeasureTheory Filter Set open scoped ENNReal NNReal BigOperators open MeasureTheory ProbabilityTheory Set Filter open scoped ENNReal NNReal Topology open scoped NNReal ENNReal Topology open scoped NNReal Topology open Set open Set Filter MeasureTheory open scoped BigOperators open Set Filter MeasureTheory open scoped Topology namespace MicroscopicJamming lemma integral_hasDerivAt_of_jointly_continuous {F G : ℝ → ℝ → ℝ} {a b x : ℝ} (hF : ContinuousOn (fun p : ℝ × ℝ => F p.1 p.2) (uIcc a b ×ˢ univ)) (hG : ContinuousOn (fun p : ℝ × ℝ => G p.1 p.2) (uIcc a b ×ˢ univ)) (hd : ∀ t∈uIcc a b,∀ y,HasDerivAt (F t) (G t y) y) : HasDerivAt (fun y => ∫ t in a..b,F t y) (∫ t in a..b,G t x) x := by have hfc (y : ℝ) : ContinuousOn (fun t => F t y) (uIcc a b) := hF.comp (continuousOn_id.prodMk continuousOn_const) (fun t ht => ⟨ht,mem_univ _⟩) have hgc (y : ℝ) : ContinuousOn (fun t => G t y) (uIcc a b) := hG.comp (continuousOn_id.prodMk continuousOn_const) (fun t ht => ⟨ht,mem_univ _⟩) have hcompact : IsCompact (uIcc a b ×ˢ Icc (x-1) (x+1)) := isCompact_uIcc.prod isCompact_Icc obtain ⟨M,hM⟩ := hcompact.exists_bound_of_continuousOn (hG.mono (prod_mono_right (subset_univ _))) refine (intervalIntegral.hasDerivAt_integral_of_dominated_loc_of_deriv_le (F:=fun y t => F t y) (F':=fun y t => G t y) (s:=Icc (x-1) (x+1)) (Icc_mem_nhds (by linarith) (by linarith)) (Eventually.of_forall (fun y => ((hfc y).aestronglyMeasurable measurableSet_uIcc).mono_set uIoc_subset_uIcc)) (hfc x).intervalIntegrable (((hgc x).aestronglyMeasurable measurableSet_uIcc).mono_set uIoc_subset_uIcc) (Eventually.of_forall (fun t ht y hy => hM (t,y) ⟨uIoc_subset_uIcc ht,hy⟩)) (intervalIntegrable_const (c:=M)) (Eventually.of_forall (fun t ht y _ => hd t (uIoc_subset_uIcc ht) y))).2 lemma iteratedDeriv_integral_of_jets {F : ℝ → ℝ → ℝ} {a b : ℝ} (hc : ∀ n : ℕ,ContinuousOn (fun p : ℝ × ℝ => iteratedDeriv n (F p.1) p.2) (uIcc a b ×ˢ univ)) (hs : ∀ t∈uIcc a b,ContDiff ℝ ((⊤ : ℕ∞) : WithTop ℕ∞) (F t)) : ∀ n : ℕ, iteratedDeriv n (fun y => ∫ t in a..b,F t y)=fun y => ∫ t in a..b,iteratedDeriv n (F t) y := by intro n induction n with | zero => simp | succ n ih => rw [iteratedDeriv_succ,ih] funext x exact (integral_hasDerivAt_of_jointly_continuous (hc n) (hc (n+1)) (fun t ht y => by have hd := ((contDiff_iff_iteratedDeriv.mp (hs t ht)).2 n (by simp) y).hasDerivAt simpa only [iteratedDeriv_succ] using hd)).deriv end MicroscopicJamming open Set Filter MeasureTheory open scoped Topology namespace MicroscopicJamming lemma evolution_all_jets {Q : ℝ} (hQ : 0 F p.1 p.2) (Icc 0 Q ×ˢ univ)) (hcG : ∀ n : ℕ,ContinuousOn (fun p : ℝ × ℝ => iteratedDeriv n (G p.1) p.2) (Icc 0 Q ×ˢ univ)) (hsF : ∀ t∈Icc 0 Q,ContDiff ℝ ((⊤ : ℕ∞) : WithTop ℕ∞) (F t)) (hsG : ∀ t∈Icc 0 Q,ContDiff ℝ ((⊤ : ℕ∞) : WithTop ℕ∞) (G t)) (ht : ∀ t∈Ioo 0 Q,∀ x,HasDerivAt (fun r => F r x) (G t x) t) : ∀ n : ℕ,∀ t∈Ico 0 Q,∀ x,HasDerivWithinAt (fun r => iteratedDeriv n (F r) x) (iteratedDeriv n (G t) x) (Ici t) t := by have hsub (t : ℝ) (ht' : t∈Icc 0 Q) : uIcc t Q ⊆ Icc 0 Q := by rw [uIcc_of_le ht'.2]; exact Icc_subset_Icc ht'.1 le_rfl have heq (t : ℝ) (ht' : t∈Icc 0 Q) : (fun y => ∫ r in t..Q,G r y) = fun y => F Q y-F t y := by funext y apply intervalIntegral.integral_eq_sub_of_hasDerivAt_of_le ht'.2 · exact hcF.comp (continuousOn_id.prodMk continuousOn_const) (fun r hr => ⟨⟨ht'.1.trans hr.1,hr.2⟩,mem_univ _⟩) · exact fun r hr => ht r ⟨lt_of_le_of_lt ht'.1 hr.1,hr.2⟩ y · have hc : ContinuousOn (fun r => iteratedDeriv 0 (G r) y) (uIcc t Q) := (hcG 0).comp (continuousOn_id.prodMk continuousOn_const) (fun r hr => ⟨hsub t ht' hr,mem_univ _⟩) simpa only [iteratedDeriv_zero] using hc.intervalIntegrable have hjeq (n : ℕ) (t : ℝ) (ht' : t∈Icc 0 Q) (x : ℝ) : iteratedDeriv n (F t) x=iteratedDeriv n (F Q) x-∫ r in t..Q,iteratedDeriv n (G r) x := by have hh := congrFun (iteratedDeriv_integral_of_jets (fun n => (hcG n).mono (prod_mono_left (hsub t ht'))) (fun r hr => hsG r (hsub t ht' hr)) n) x rw [heq t ht'] at hh rw [iteratedDeriv_fun_sub ((hsF Q ⟨hQ.le,le_rfl⟩).of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤))).contDiffAt ((hsF t ht').of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤))).contDiffAt] at hh linarith intro n t htt x let E : ℝ → ℝ := fun r => iteratedDeriv n (G (projIcc 0 Q hQ.le r)) x have hE : Continuous E := by apply ((continuousOn_iff_continuous_domRestrict.mp ((hcG n).comp (continuousOn_id.prodMk continuousOn_const) (fun r hr => ⟨hr,mem_univ _⟩))).comp (continuous_projIcc (h:=hQ.le))) have hEe (r : ℝ) (hr : r∈Icc 0 Q) : E r=iteratedDeriv n (G r) x := by dsimp only [E]; rw [projIcc_of_mem hQ.le hr] have hder := (intervalIntegral.integral_hasDerivAt_left (hE.intervalIntegrable t Q) hE.aestronglyMeasurable.stronglyMeasurableAtFilter hE.continuousAt).const_sub (iteratedDeriv n (F Q) x) have hder' : HasDerivWithinAt (fun r => iteratedDeriv n (F Q) x-∫ s in r..Q,E s) (iteratedDeriv n (G t) x) (Ici t) t := by simpa only [neg_neg,hEe t ⟨htt.1,htt.2.le⟩] using hder.hasDerivWithinAt (s:=Ici t) apply hder'.congr_of_eventuallyEq · filter_upwards [Icc_mem_nhdsGE htt.2] with r hr have hr' : r∈Icc 0 Q := ⟨htt.1.trans hr.1,hr.2⟩ rw [hjeq n r hr'] congr 1 apply intervalIntegral.integral_congr intro s hs exact (hEe s ((hsub r hr') hs)).symm · rw [hjeq n t ⟨htt.1,htt.2.le⟩] congr 1 apply intervalIntegral.integral_congr intro s hs exact (hEe s ((hsub t ⟨htt.1,htt.2.le⟩) hs)).symm end MicroscopicJamming open Set Filter open scoped Topology namespace MicroscopicJamming namespace Higher lemma sum_linear_jet_decompose (n : ℕ) (b u : ℕ → ℝ) : (∑ i∈Finset.range (n+2),((n+1).choose i:ℝ)*b i*u (n+1-i+1)) = b 0*u (n+2)+(n+1)*b 1*u (n+1)+ ∑ j∈Finset.range n,((n+1).choose (j+2):ℝ)*b (j+2)*u (n-j) := by rw [show n+2=n+1+1 by omega,Finset.sum_range_succ',Finset.sum_range_succ'] simp only [Nat.choose_zero_right,Nat.cast_one,one_mul,Nat.sub_zero,Nat.choose_one_right, Nat.cast_add,Nat.cast_one,Nat.zero_add,Nat.sub_add_cancel (by omega : 1≤n+1)] have he : (∑ j∈Finset.range n,((n+1).choose (j+1+1):ℝ)*b (j+1+1)*u (n+1-(j+1+1)+1)) = ∑ j∈Finset.range n,((n+1).choose (j+2):ℝ)*b (j+2)*u (n-j) := by apply Finset.sum_congr rfl intro j hj have hh := Finset.mem_range.mp hj have ha : n+1-(j+1+1)+1=n-j := by omega simp only [ha,Nat.add_assoc] rw [he] ring lemma family_linear_bound {ι : Type*} {P : ι → Prop} {Q K R A : ℝ} (hQ : 0 U i p.1 p.2) (Icc 0 Q ×ˢ univ)) (hx : ∀ i,P i → ∀ t∈Icc 0 Q,Differentiable ℝ (U i t) ∧ Differentiable ℝ (deriv (U i t))) (ht : ∀ i,P i → ∀ t∈Ico 0 Q,∀ x,HasDerivWithinAt (fun s => U i s x) (d i t x) (Ici t) t) (ha : ∀ i,P i → ∀ t∈Icc 0 Q,∀ x,0≤a i t x ∧ a i t x≤A) (hb : ∀ i,P i → ∀ t∈Icc 0 Q,∀ x,|b i t x|≤K*(1+|x|)) (hr : ∀ i,P i → ∀ t∈Ico 0 Q,∀ x,r i t x≤R) (hg : ∀ i,P i → UniformPolynomialGrowth (Icc 0 Q) (U i)) (hH : FamilyGrowth P (Icc 0 Q) H) (hp : ∀ i,P i → ∀ t∈Ico 0 Q,∀ x, d i t x+a i t x*deriv (deriv (U i t)) x+b i t x*deriv (U i t) x+r i t x*U i t x=H i t x) (hterm : ∀ i,P i → ∀ x,U i Q x=0) : FamilyGrowth P (Icc 0 Q) U := by obtain ⟨n,C,hC,hbd⟩ := hH.polynomial_source let g := R+(4*A*(n+2)^2+4*K*(n+2)+1)+1 have hg0 : 0≤g := by dsimp [g]; positivity refine ⟨2*(n+2),C*Real.exp (g*Q),by positivity,fun i hi t htt x => ?_⟩ have hu := VariableDiffusion.backward_polynomial_source_bound n hQ hK hA hR (le_refl 0) hC (hc i hi) (hx i hi) (ht i hi) (ha i hi) (hb i hi) (hg i hi) (hr i hi) (fun t htt x => by rw [hp i hi t htt x]; exact hbd i hi t ⟨htt.1,htt.2.le⟩ x) (fun x => by rw [hterm i hi x]; simp) have hpw : (1+x^2)^(n+2) ≤ (1+|x|)^(2*(n+2)) := by rw [pow_mul] apply pow_le_pow_left₀ (by positivity) nlinarith [sq_abs x,abs_nonneg x] calc |U i t x| ≤ polynomialBarrier n (0+C) g Q t x := hu t htt x _ = C*Real.exp (g*(Q-t))*(1+x^2)^(n+2) := by simp [polynomialBarrier] _ ≤ C*Real.exp (g*Q)*(1+|x|)^(2*(n+2)) := by apply mul_le_mul _ hpw (by positivity) (by positivity) apply mul_le_mul_of_nonneg_left _ hC exact Real.exp_le_exp.mpr (by nlinarith [htt.1]) lemma linear_all_jets_growth {ι : Type*} {P : ι → Prop} {Q K A : ℝ} (hQ : 0 iteratedDeriv n (U i t))) (hH : ∀ n : ℕ,FamilyGrowth P (Icc 0 Q) (fun i t => iteratedDeriv n (H i t))) (ht : ∀ i,P i → ∀ n : ℕ,∀ t∈Ico 0 Q,∀ x,HasDerivWithinAt (fun s => iteratedDeriv n (U i s) x) (iteratedDeriv n (H i t) x-a i t*iteratedDeriv (n+2) (U i t) x- ∑ j∈Finset.range (n+1),(n.choose j:ℝ)*iteratedDeriv j (b i t) x*iteratedDeriv (n-j+1) (U i t) x) (Ici t) t) (hterm : ∀ i,P i → ∀ x,U i Q x=0) : ∀ n : ℕ,FamilyGrowth P (Icc 0 Q) (fun i t => iteratedDeriv n (U i t)) := by have hd (i : ι) (hi : P i) (n : ℕ) (t : ℝ) (htt : t∈Icc 0 Q) : Differentiable ℝ (iteratedDeriv n (U i t)) := (contDiff_iff_iteratedDeriv.mp ((hs i hi).1 t htt)).2 n (by simp) have htermj (i : ι) (hi : P i) (n : ℕ) (x : ℝ) : iteratedDeriv n (U i Q) x=0 := by have he : U i Q=fun _ => 0 := funext (hterm i hi) rw [he] simp intro n induction n using Nat.strong_induction_on with | h N ih => let D : ι → ℝ → ℝ → ℝ := fun i t x => iteratedDeriv N (H i t) x-a i t*iteratedDeriv (N+2) (U i t) x- ∑ j∈Finset.range (N+1),(N.choose j:ℝ)*iteratedDeriv j (b i t) x*iteratedDeriv (N-j+1) (U i t) x have hhx (i : ι) (hi : P i) (t : ℝ) (htt : t∈Icc 0 Q) : Differentiable ℝ (iteratedDeriv N (U i t)) ∧ Differentiable ℝ (deriv (iteratedDeriv N (U i t))) := by exact ⟨hd i hi N t htt,by simpa only [←iteratedDeriv_succ] using hd i hi (N+1) t htt⟩ cases N with | zero => apply family_linear_bound (d:=D) (r:=fun _ _ _ => 0) (a:=fun i t _ => a i t) hQ hK (le_refl 0) hA (fun i hi => (hs i hi).2 0) hhx (fun i hi => ht i hi 0) (fun i hi t htt _ => ha i hi t htt) hb (fun _ _ _ _ _ => le_refl 0) (fun i hi => hg i hi 0) (hH 0) _ (fun i hi => htermj i hi 0) intro i hi t htt x simp [D,iteratedDeriv_succ] ring | succ n => obtain ⟨B,hB,hbd⟩ := hbb 1 (by omega) let E : ι → ℝ → ℝ → ℝ := fun i t x => iteratedDeriv (n+1) (H i t) x- ∑ j∈Finset.range n,((n+1).choose (j+2):ℝ)*iteratedDeriv (j+2) (b i t) x*iteratedDeriv (n-j) (U i t) x have hE : FamilyGrowth P (Icc 0 Q) E := by apply (hH (n+1)).sub apply FamilyGrowth.finset_sum intro j hj obtain ⟨B',hB',hbd'⟩ := hbb (j+2) (by omega) exact ((FamilyGrowth.of_bound hB' hbd').const_mul ((n+1).choose (j+2):ℝ)).mul (ih (n-j) (by omega)) apply family_linear_bound (d:=D) (r:=fun i t x => (n+1)*iteratedDeriv 1 (b i t) x) (a:=fun i t _ => a i t) hQ hK (show 0≤((n:ℝ)+1)*B by positivity) hA (fun i hi => (hs i hi).2 (n+1)) hhx (fun i hi => ht i hi (n+1)) (fun i hi t htt _ => ha i hi t htt) hb _ (fun i hi => hg i hi (n+1)) hE _ (fun i hi => htermj i hi (n+1)) · intro i hi t htt x exact mul_le_mul_of_nonneg_left ((le_abs_self _).trans (hbd i hi t ⟨htt.1,htt.2.le⟩ x)) (by positivity) · intro i hi t htt x dsimp [D,E] rw [sum_linear_jet_decompose n (fun j => iteratedDeriv j (b i t) x) (fun j => iteratedDeriv j (U i t) x)] simp only [iteratedDeriv_zero,←iteratedDeriv_succ] ring end Higher end MicroscopicJamming open Set Filter open scoped Topology namespace MicroscopicJamming namespace Higher lemma JointSpatialSmooth.sub {S : Set ℝ} {F G : ℝ → ℝ → ℝ} (hf : JointSpatialSmooth S F) (hg : JointSpatialSmooth S G) : JointSpatialSmooth S (fun t x => F t x-G t x) := by simpa only [neg_one_mul,sub_eq_add_neg] using hf.add (hg.coeff_mul (a:=fun _ => -1) continuousOn_const) lemma linear_evolution_jets {Q : ℝ} (hQ : 0 U s x) (H t x-a t*iteratedDeriv 2 (U t) x-b t x*iteratedDeriv 1 (U t) x) t) : ∀ n : ℕ,∀ t∈Ico 0 Q,∀ x,HasDerivWithinAt (fun s => iteratedDeriv n (U s) x) (iteratedDeriv n (H t) x-a t*iteratedDeriv (n+2) (U t) x- ∑ j∈Finset.range (n+1),(n.choose j:ℝ)*iteratedDeriv j (b t) x*iteratedDeriv (n-j+1) (U t) x) (Ici t) t := by have hG := (hH.sub ((hs.jet 2).coeff_mul ha)).sub (hb.mul (hs.jet 1)) have hh := evolution_all_jets hQ (by simpa using hs.2 0) hG.2 hs.1 hG.1 ht intro n t htt x have htcc : t∈Icc 0 Q := ⟨htt.1,htt.2.le⟩ have hUn (k : ℕ) : ContDiff ℝ (n:WithTop ℕ∞) (iteratedDeriv k (U t)) := ((hs.jet k).1 t htcc).of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤)) have hbn : ContDiff ℝ (n:WithTop ℕ∞) (b t) := (hb.1 t htcc).of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤)) have hHn : ContDiff ℝ (n:WithTop ℕ∞) (H t) := (hH.1 t htcc).of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤)) convert hh n t htt x using 1 symm rw [iteratedDeriv_fun_sub (hHn.sub (contDiff_const.mul (hUn 2))).contDiffAt (hbn.mul (hUn 1)).contDiffAt] rw [iteratedDeriv_fun_sub hHn.contDiffAt (contDiff_const.mul (hUn 2)).contDiffAt] rw [iteratedDeriv_const_mul_field,iteratedDeriv_fun_mul hbn.contDiffAt (hUn 1).contDiffAt] simp only [iteratedDeriv_iteratedDeriv] end Higher end MicroscopicJamming open Set Filter open scoped Topology namespace MicroscopicJamming namespace Higher structure PolynomialJetFamily {ι : Type*} (P : ι → Prop) (T : Set ℝ) (F : ι → ℝ → ℝ → ℝ) : Prop where smooth : ∀ i,P i → JointSpatialSmooth T (F i) bounds : ∀ n : ℕ,FamilyGrowth P T (fun i t => iteratedDeriv n (F i t)) lemma PolynomialJetFamily.jet {ι : Type*} {P : ι → Prop} {T : Set ℝ} {F : ι → ℝ → ℝ → ℝ} (hf : PolynomialJetFamily P T F) (n : ℕ) : PolynomialJetFamily P T (fun i t => iteratedDeriv n (F i t)) := by refine ⟨fun i hi => (hf.smooth i hi).jet n,fun k => ?_⟩ simpa only [iteratedDeriv_iteratedDeriv] using hf.bounds (k+n) lemma PolynomialJetFamily.comp {ι κ : Type*} {P : ι → Prop} {R : κ → Prop} {T : Set ℝ} {F : ι → ℝ → ℝ → ℝ} (hf : PolynomialJetFamily P T F) (g : κ → ι) (hg : ∀ i,R i → P (g i)) : PolynomialJetFamily R T (fun i => F (g i)) := ⟨fun i hi => hf.smooth (g i) (hg i hi),fun n => (hf.bounds n).comp g hg⟩ lemma PolynomialJetFamily.add {ι : Type*} {P : ι → Prop} {T : Set ℝ} {F G : ι → ℝ → ℝ → ℝ} (hf : PolynomialJetFamily P T F) (hg : PolynomialJetFamily P T G) : PolynomialJetFamily P T (fun i t x => F i t x+G i t x) := by refine ⟨fun i hi => (hf.smooth i hi).add (hg.smooth i hi),fun n => ?_⟩ apply ((hf.bounds n).add (hg.bounds n)).congr intro i hi t ht x exact (iteratedDeriv_fun_add ((hf.smooth i hi).1 t ht |>.of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤))).contDiffAt ((hg.smooth i hi).1 t ht |>.of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤))).contDiffAt).symm lemma PolynomialJetFamily.coeff_mul {ι : Type*} {P : ι → Prop} {T : Set ℝ} {F : ι → ℝ → ℝ → ℝ} {a : ι → ℝ → ℝ} (hf : PolynomialJetFamily P T F) (ha : ∀ i,P i → ContinuousOn (a i) T) {A : ℝ} (hA : 0≤A) (hab : ∀ i,P i → ∀ t∈T,|a i t|≤A) : PolynomialJetFamily P T (fun i t x => a i t*F i t x) := by refine ⟨fun i hi => (hf.smooth i hi).coeff_mul (ha i hi),fun n => ?_⟩ apply ((FamilyGrowth.of_bound hA (fun i hi t ht _ => hab i hi t ht)).mul (hf.bounds n)).congr intro i hi t ht x exact (iteratedDeriv_const_mul_field (n:=n) (x:=x) (a i t) (F i t)).symm lemma PolynomialJetFamily.const_mul {ι : Type*} {P : ι → Prop} {T : Set ℝ} {F : ι → ℝ → ℝ → ℝ} (hf : PolynomialJetFamily P T F) (c : ℝ) : PolynomialJetFamily P T (fun i t x => c*F i t x) := hf.coeff_mul (fun _ _ => continuousOn_const) (abs_nonneg c) (fun _ _ _ _ => le_rfl) lemma PolynomialJetFamily.sub {ι : Type*} {P : ι → Prop} {T : Set ℝ} {F G : ι → ℝ → ℝ → ℝ} (hf : PolynomialJetFamily P T F) (hg : PolynomialJetFamily P T G) : PolynomialJetFamily P T (fun i t x => F i t x-G i t x) := by simpa only [neg_one_mul,sub_eq_add_neg] using hf.add (hg.const_mul (-1)) lemma PolynomialJetFamily.mul {ι : Type*} {P : ι → Prop} {T : Set ℝ} {F G : ι → ℝ → ℝ → ℝ} (hf : PolynomialJetFamily P T F) (hg : PolynomialJetFamily P T G) : PolynomialJetFamily P T (fun i t x => F i t x*G i t x) := by refine ⟨fun i hi => (hf.smooth i hi).mul (hg.smooth i hi),fun n => ?_⟩ have hb : FamilyGrowth P T (fun i t x => ∑ k∈Finset.range (n+1), (n.choose k:ℝ)*iteratedDeriv k (F i t) x*iteratedDeriv (n-k) (G i t) x) := by apply FamilyGrowth.finset_sum intro k hk exact ((hf.bounds k).const_mul (n.choose k:ℝ)).mul (hg.bounds (n-k)) apply hb.congr intro i hi t ht x exact (iteratedDeriv_fun_mul ((hf.smooth i hi).1 t ht |>.of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤))).contDiffAt ((hg.smooth i hi).1 t ht |>.of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤))).contDiffAt).symm end Higher end MicroscopicJamming open Set Filter open scoped Topology namespace MicroscopicJamming namespace Parameter def dd1 (F : ℝ → ℝ) (a b : ℝ) : ℝ := (F b-F a)/(b-a) def dd2 (F : ℝ → ℝ) (a b c : ℝ) : ℝ := (dd1 F b c-dd1 F a b)/(c-a) def dd3 (F : ℝ → ℝ) (a b c d : ℝ) : ℝ := (dd2 F b c d-dd2 F a b c)/(d-a) lemma dd1_sub_slope (F : ℝ → ℝ) {a b c : ℝ} (hab : a≠b) (hac : a≠c) (hbc : b≠c) : dd1 F a b-dd1 F a c=(b-c)*dd2 F a b c := by simp only [dd2,dd1] field_simp [sub_ne_zero.mpr hab.symm,sub_ne_zero.mpr hac.symm,sub_ne_zero.mpr hbc.symm] ring lemma dd2_sub_last (F : ℝ → ℝ) {a b c d : ℝ} (hab : a≠b) (hac : a≠c) (had : a≠d) (hbc : b≠c) (hbd : b≠d) (hcd : c≠d) : dd2 F a b c-dd2 F a b d=(c-d)*dd3 F a b c d := by simp only [dd3,dd2,dd1] field_simp [sub_ne_zero.mpr hab.symm,sub_ne_zero.mpr hac.symm,sub_ne_zero.mpr had.symm, sub_ne_zero.mpr hbc.symm,sub_ne_zero.mpr hbd.symm,sub_ne_zero.mpr hcd.symm] ring lemma dd1_square (F : ℝ → ℝ) (a b : ℝ) : dd1 (fun x => (F x)^2) a b=(F a+F b)*dd1 F a b := by unfold dd1; ring lemma dd2_square (F : ℝ → ℝ) {a b c : ℝ} (hab : a≠b) (hac : a≠c) (hbc : b≠c) : dd2 (fun x => (F x)^2) a b c=(F a+F c)*dd2 F a b c+dd1 F a b*dd1 F b c := by simp only [dd2,dd1] field_simp [sub_ne_zero.mpr hab.symm,sub_ne_zero.mpr hac.symm,sub_ne_zero.mpr hbc.symm] ring lemma dd3_square (F : ℝ → ℝ) {a b c d : ℝ} (hab : a≠b) (hac : a≠c) (had : a≠d) (hbc : b≠c) (hbd : b≠d) (hcd : c≠d) : dd3 (fun x => (F x)^2) a b c d=(F a+F d)*dd3 F a b c d+ dd1 F a b*dd2 F b c d+dd2 F a b c*dd1 F c d := by simp only [dd3,dd2,dd1] field_simp [sub_ne_zero.mpr hab.symm,sub_ne_zero.mpr hac.symm,sub_ne_zero.mpr had.symm, sub_ne_zero.mpr hbc.symm,sub_ne_zero.mpr hbd.symm,sub_ne_zero.mpr hcd.symm] ring lemma dd1_affine_mul (F : ℝ → ℝ) (A B : ℝ) {a b : ℝ} (hab : a≠b) : dd1 (fun x => (A+x*B)*F x) a b=(A+a*B)*dd1 F a b+B*F b := by unfold dd1 field_simp [sub_ne_zero.mpr hab.symm] ring lemma dd2_affine_mul (F : ℝ → ℝ) (A B : ℝ) {a b c : ℝ} (hab : a≠b) (hac : a≠c) (hbc : b≠c) : dd2 (fun x => (A+x*B)*F x) a b c=(A+a*B)*dd2 F a b c+B*dd1 F b c := by simp only [dd2,dd1] field_simp [sub_ne_zero.mpr hab.symm,sub_ne_zero.mpr hac.symm,sub_ne_zero.mpr hbc.symm] ring lemma dd3_affine_mul (F : ℝ → ℝ) (A B : ℝ) {a b c d : ℝ} (hab : a≠b) (hac : a≠c) (had : a≠d) (hbc : b≠c) (hbd : b≠d) (hcd : c≠d) : dd3 (fun x => (A+x*B)*F x) a b c d=(A+a*B)*dd3 F a b c d+B*dd2 F b c d := by simp only [dd3,dd2,dd1] field_simp [sub_ne_zero.mpr hab.symm,sub_ne_zero.mpr hac.symm,sub_ne_zero.mpr had.symm, sub_ne_zero.mpr hbc.symm,sub_ne_zero.mpr hbd.symm,sub_ne_zero.mpr hcd.symm] ring end Parameter end MicroscopicJamming open Set Filter open scoped Topology namespace MicroscopicJamming namespace Parameter open Higher structure Nodes2 (I : Set ℝ) where a : ℝ b : ℝ ha : a∈I hb : b∈I hab : a≠b structure Nodes3 (I : Set ℝ) extends Nodes2 I where c : ℝ hc : c∈I hac : a≠c hbc : b≠c structure Nodes4 (I : Set ℝ) extends Nodes3 I where d : ℝ hd : d∈I had : a≠d hbd : b≠d hcd : c≠d def Nodes3.bc {I : Set ℝ} (p : Nodes3 I) : Nodes2 I := ⟨p.b,p.c,p.hb,p.hc,p.hbc⟩ def Nodes4.bcd {I : Set ℝ} (p : Nodes4 I) : Nodes3 I := ⟨p.toNodes3.bc,p.d,p.hd,p.hbd,p.hcd⟩ def Nodes4.cd {I : Set ℝ} (p : Nodes4 I) : Nodes2 I := ⟨p.c,p.d,p.hc,p.hd,p.hcd⟩ def field1 (F : ℝ → ℝ → ℝ → ℝ) (a b t x : ℝ) : ℝ := dd1 (fun e => F e t x) a b def field2 (F : ℝ → ℝ → ℝ → ℝ) (a b c t x : ℝ) : ℝ := dd2 (fun e => F e t x) a b c def field3 (F : ℝ → ℝ → ℝ → ℝ) (a b c d t x : ℝ) : ℝ := dd3 (fun e => F e t x) a b c d lemma divided_smooth {T : Set ℝ} {F G : ℝ → ℝ → ℝ} (hf : JointSpatialSmooth T F) (hg : JointSpatialSmooth T G) (c : ℝ) : JointSpatialSmooth T (fun t x => (G t x-F t x)/c) := by simpa only [div_eq_mul_inv,mul_comm] using (hg.sub hf).coeff_mul (a:=fun _ => c⁻¹) continuousOn_const lemma divided_jet (n : ℕ) {F G : ℝ → ℝ} (hf : ContDiff ℝ ((⊤ : ℕ∞) : WithTop ℕ∞) F) (hg : ContDiff ℝ ((⊤ : ℕ∞) : WithTop ℕ∞) G) (c x : ℝ) : iteratedDeriv n (fun y => (G y-F y)/c) x = (iteratedDeriv n G x-iteratedDeriv n F x)/c := by have hf' : ContDiff ℝ (n : WithTop ℕ∞) F := hf.of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤)) have hg' : ContDiff ℝ (n : WithTop ℕ∞) G := hg.of_le (by exact_mod_cast (le_top : (n:ℕ∞)≤⊤)) simp only [div_eq_mul_inv,mul_comm _ c⁻¹] rw [iteratedDeriv_const_mul_field,iteratedDeriv_fun_sub hg'.contDiffAt hf'.contDiffAt] lemma field1_smooth {I T : Set ℝ} {F : ℝ → ℝ → ℝ → ℝ} (hf : ∀ e∈I,JointSpatialSmooth T (F e)) (p : Nodes2 I) : JointSpatialSmooth T (field1 F p.a p.b) := divided_smooth (hf p.a p.ha) (hf p.b p.hb) (p.b-p.a) lemma field2_smooth {I T : Set ℝ} {F : ℝ → ℝ → ℝ → ℝ} (hf : ∀ e∈I,JointSpatialSmooth T (F e)) (p : Nodes3 I) : JointSpatialSmooth T (field2 F p.a p.b p.c) := divided_smooth (field1_smooth hf p.toNodes2) (field1_smooth hf p.bc) (p.c-p.a) lemma field3_smooth {I T : Set ℝ} {F : ℝ → ℝ → ℝ → ℝ} (hf : ∀ e∈I,JointSpatialSmooth T (F e)) (p : Nodes4 I) : JointSpatialSmooth T (field3 F p.a p.b p.c p.d) := divided_smooth (field2_smooth hf p.toNodes3) (field2_smooth hf p.bcd) (p.d-p.a) lemma field1_jet {I T : Set ℝ} {F : ℝ → ℝ → ℝ → ℝ} (hf : ∀ e∈I,JointSpatialSmooth T (F e)) (p : Nodes2 I) (n : ℕ) {t : ℝ} (ht : t∈T) (x : ℝ) : iteratedDeriv n (field1 F p.a p.b t) x=dd1 (fun e => iteratedDeriv n (F e t) x) p.a p.b := divided_jet n ((hf p.a p.ha).1 t ht) ((hf p.b p.hb).1 t ht) (p.b-p.a) x lemma field2_jet {I T : Set ℝ} {F : ℝ → ℝ → ℝ → ℝ} (hf : ∀ e∈I,JointSpatialSmooth T (F e)) (p : Nodes3 I) (n : ℕ) {t : ℝ} (ht : t∈T) (x : ℝ) : iteratedDeriv n (field2 F p.a p.b p.c t) x=dd2 (fun e => iteratedDeriv n (F e t) x) p.a p.b p.c := by change iteratedDeriv n (fun y => (field1 F p.b p.c t y-field1 F p.a p.b t y)/(p.c-p.a)) x=_ have hh := divided_jet n ((field1_smooth hf p.toNodes2).1 t ht) ((field1_smooth hf p.bc).1 t ht) (p.c-p.a) x dsimp [Nodes3.bc] at hh rw [hh] have hb := field1_jet hf p.bc n ht x dsimp [Nodes3.bc] at hb rw [hb,field1_jet hf p.toNodes2 n ht] rfl lemma field3_jet {I T : Set ℝ} {F : ℝ → ℝ → ℝ → ℝ} (hf : ∀ e∈I,JointSpatialSmooth T (F e)) (p : Nodes4 I) (n : ℕ) {t : ℝ} (ht : t∈T) (x : ℝ) : iteratedDeriv n (field3 F p.a p.b p.c p.d t) x=dd3 (fun e => iteratedDeriv n (F e t) x) p.a p.b p.c p.d := by change iteratedDeriv n (fun y => (field2 F p.b p.c p.d t y-field2 F p.a p.b p.c t y)/(p.d-p.a)) x=_ have hh := divided_jet n ((field2_smooth hf p.toNodes3).1 t ht) ((field2_smooth hf p.bcd).1 t ht) (p.d-p.a) x dsimp [Nodes4.bcd,Nodes3.bc] at hh rw [hh] have hb := field2_jet hf p.bcd n ht x dsimp [Nodes4.bcd,Nodes3.bc] at hb rw [hb,field2_jet hf p.toNodes3 n ht] rfl lemma fixed_family {I T : Set ℝ} {F : ℝ → ℝ → ℝ → ℝ} (hf : PolynomialJetFamily (fun e => e∈I) T F) {e : ℝ} (he : e∈I) : PolynomialJetFamily (fun _ : Unit => True) T (fun _ => F e) := hf.comp (fun _ => e) (fun _ _ => he) lemma field1_individual {I T : Set ℝ} {F : ℝ → ℝ → ℝ → ℝ} (hf : PolynomialJetFamily (fun e => e∈I) T F) (p : Nodes2 I) : PolynomialJetFamily (fun _ : Unit => True) T (fun _ => field1 F p.a p.b) := by change PolynomialJetFamily (fun _ : Unit => True) T (fun _ t x => (F p.b t x-F p.a t x)/(p.b-p.a)) have hh := ((fixed_family hf p.hb).sub (fixed_family hf p.ha)).const_mul ((p.b-p.a)⁻¹) simpa only [field1,dd1,div_eq_mul_inv,mul_comm (p.b-p.a)⁻¹] using hh lemma field2_individual {I T : Set ℝ} {F : ℝ → ℝ → ℝ → ℝ} (hf : PolynomialJetFamily (fun e => e∈I) T F) (p : Nodes3 I) : PolynomialJetFamily (fun _ : Unit => True) T (fun _ => field2 F p.a p.b p.c) := by change PolynomialJetFamily (fun _ : Unit => True) T (fun _ t x => (field1 F p.b p.c t x-field1 F p.a p.b t x)/(p.c-p.a)) have hh := ((field1_individual hf p.bc).sub (field1_individual hf p.toNodes2)).const_mul ((p.c-p.a)⁻¹) simpa only [Nodes3.bc,field2,field1,dd2,div_eq_mul_inv,mul_comm (p.c-p.a)⁻¹] using hh lemma field3_individual {I T : Set ℝ} {F : ℝ → ℝ → ℝ → ℝ} (hf : PolynomialJetFamily (fun e => e∈I) T F) (p : Nodes4 I) : PolynomialJetFamily (fun _ : Unit => True) T (fun _ => field3 F p.a p.b p.c p.d) := by change PolynomialJetFamily (fun _ : Unit => True) T (fun _ t x => (field2 F p.b p.c p.d t x-field2 F p.a p.b p.c t x)/(p.d-p.a)) have hh := ((field2_individual hf p.bcd).sub (field2_individual hf p.toNodes3)).const_mul ((p.d-p.a)⁻¹) simpa only [Nodes4.bcd,Nodes3.bc,field3,field2,dd3,div_eq_mul_inv,mul_comm (p.d-p.a)⁻¹] using hh end Parameter end MicroscopicJamming open Set Filter open scoped Topology namespace MicroscopicJamming lemma rowSmooth_perturbation {Q : ℝ} {q η : ℝ → ℝ} (hq : RowSmoothProfile Q q) (hη : ContDiff ℝ ((⊤ : ℕ∞) : WithTop ℕ∞) η) (hη0 : η 0=0) (hη1 : η 1=0) : ∃ r : ℝ, 0 q s+ε*η s) := by have hqc : Continuous (deriv q) := (contDiff_infty_iff_deriv.mp hq.1).2.continuous have hηc : Continuous (deriv η) := (contDiff_infty_iff_deriv.mp hη).2.continuous obtain ⟨c,hc,hcmin⟩ := isCompact_Icc.exists_forall_le' hqc.continuousOn hq.2.2.2 obtain ⟨s,hs,hmax⟩ := isCompact_Icc.exists_isMaxOn (nonempty_Icc.mpr (by norm_num : (0:ℝ)≤1)) hηc.abs.continuousOn let M := |deriv η s|+1 have hM : 0 ?_⟩ refine ⟨hq.1.add (contDiff_const.mul hη),?_,?_,?_⟩ · simp [hq.2.1,hη0] · simp [hq.2.2.1,hη1] · intro t ht have hd := ((hq.1.differentiable (by simp) t).hasDerivAt.add ((hη.differentiable (by simp) t).hasDerivAt.const_mul ε)).deriv change 0 < deriv (q + fun y => ε*η y) t rw [hd] have hle : |deriv η t| ≤ M := (hmax ht).trans (by dsimp [M]; linarith) have hmul : |ε| *M q s+ε*η s) (f ε) := by classical obtain ⟨r,hr,hrq⟩ := rowSmooth_perturbation hq hη hη0 hη1 have hex : ∀ ε, ∃ f, |ε| q s+ε*η s) f := by intro ε by_cases he : |ε| hf⟩ · exact ⟨fun _ _ => 0,fun hh => (he hh).elim⟩ choose f hf using hex exact ⟨r,hr,f,hf⟩ end MicroscopicJamming open Set Filter open scoped Topology namespace MicroscopicJamming lemma row_variance_jet_uniform {A B C κ Q : ℝ} {u : ℝ → ℝ} (hQ : 0 ?_⟩ obtain ⟨L,hL,hh⟩ := row_variance_existence A B C κ Q hQ hu.2.1 hu.2.2.1 hu.2.2.2.1 hu.2.2.2.2.1 obtain ⟨G,hG,_,huniq,hconv⟩ := hh u hu m hm hmb obtain ⟨rs,hrs,hT,hrm⟩ := exists_gaussian_grid_approximation hQ hm hmb have hc : CylinderConvergence (fun n => gaussianStepPath (rs n) u) F (Icc 0 Q) := by intro R hR exact (hconv rs hrs hT hrm R hR).congr_right (fun p hp => huniq F hF p.1 hp.1 p.2) have hvalid (n : ℕ) (t : ℝ) (ht : t∈Icc 0 Q) : (∀ r∈gaussianStepRemainder (rs n) t,0≤r.1 ∧ r.1≤1 ∧ 0≤r.2) ∧ gaussianStepTime (gaussianStepRemainder (rs n) t)≤Q := by obtain ⟨hv,he⟩ := gaussianStepRemainder_valid (hrs n) ht.1 refine ⟨hv,?_⟩ rw [he,hT,max_eq_left (by linarith [ht.2])] linarith [ht.1] have hs (n : ℕ) (t : ℝ) (ht : t∈Icc 0 Q) : ContDiff ℝ ((⊤ : ℕ∞) : WithTop ℕ∞) (gaussianStepPath (rs n) u t) := (Higher.gaussianRowComposition_smoothPolynomial hQ hu _ (hvalid n t ht).1 (hvalid n t ht).2).smooth have hb : ∀ l : ℕ,2≤l → ∃ J : ℝ,0≤J ∧ ∀ n t,t∈Icc 0 Q → ∀ x, |iteratedDeriv l (gaussianStepPath (rs n) u t) x|≤J := by intro l hl obtain ⟨J,hJ,hh⟩ := Higher.gaussianRowComposition_all_jets hQ hu l hl exact ⟨J,hJ,fun n t ht x => hh _ (hvalid n t ht).1 (hvalid n t ht).2 x⟩ have hj := (hc.all_jets hs hb).1 k intro t ht x exact le_of_tendsto (hj.tendsto_at ht x).abs (Eventually.of_forall (fun n => hbound _ (hvalid n t ht).1 (hvalid n t ht).2 x)) lemma row_rank_smooth {A B C κ Q : ℝ} {u q : ℝ → ℝ} {f : ℝ → ℝ → ℝ} (hQ : 0 ?_,fun n => ?_⟩ · simpa only [he s hs] using hh.1 (q s) (hq.mapsTo hs) · have hc := (hh.2.1 n).comp (((hq.1.continuous.comp continuous_fst).prodMk continuous_snd).continuousOn) (fun (p : ℝ × ℝ) (hp : p∈Icc 0 1 ×ˢ univ) => (show (q p.1,p.2)∈Icc 0 Q ×ˢ univ from ⟨hq.mapsTo hp.1,mem_univ _⟩)) apply hc.congr intro p hp change iteratedDeriv n (f p.1) p.2=iteratedDeriv n (f (m (q p.1))) p.2 rw [he p.1 hp.1] lemma row_rank_jets_time {A B C κ Q : ℝ} {u q : ℝ → ℝ} {f : ℝ → ℝ → ℝ} (hQ : 0 iteratedDeriv n (f s) x) (iteratedDeriv n (fun y => -(deriv q t)/2*(iteratedDeriv 2 (f t) y+t*(iteratedDeriv 1 (f t) y)^2)) x) (Ici t) t := by have hs := row_rank_smooth hQ hu hq hf have ha : ContinuousOn (fun t => deriv q t/2) (Icc (0:ℝ) 1) := ((contDiff_infty_iff_deriv.mp hq.1).2.continuous.div_const 2).continuousOn have hg := hs.row_rhs ha continuousOn_id apply evolution_all_jets (by norm_num : (0:ℝ)<1) hf.1 (by simpa only [neg_div,id_eq] using hg.2) hs.1 (by simpa only [neg_div,id_eq] using hg.1) intro t ht x simpa only [iteratedDeriv_succ,iteratedDeriv_zero] using hf.2.2.2.2.1 t ht x lemma row_rank_uniform_bounds {A B C κ Q : ℝ} {u : ℝ → ℝ} (hQ : 0 hh m hm hmb F hF⟩ · exact ⟨0,le_refl _,fun _ _ _ _ _ h => (hn h).elim⟩ choose H hH hHbound using hh let D := L+A*(1+Q)+|B| have hA : 0≤A := hu.2.1 have hD : 0≤D := by dsimp [D]; positivity refine ⟨D,hD,H,hH,fun q hq f hf => ?_⟩ obtain ⟨m,hm,hmb,hinv,hleft⟩ := rowSmooth_inverse hq have hF := rowRank_to_variance hq hm hmb hinv hleft hf obtain ⟨G,hG,hbd,huniq,_⟩ := hsolve u hu m hm hmb have he (t : ℝ) (htt : t∈Icc 0 Q) : G t=f (m t) := funext (fun x => huniq _ hF t htt x) have hb (t : ℝ) (htt : t∈Icc (0:ℝ) 1) (x : ℝ) := hbd (q t) (hq.mapsTo htt) x constructor · intro t htt x have hb' := hb t htt x rw [he (q t) (hq.mapsTo htt),hleft t htt] at hb' have hq0 := (hq.mapsTo htt).1 have hval : |f t x| ≤ (A*(1+Q)+|B|)*(1+x^2) := by rw [abs_le] constructor · nlinarith [hb'.1,abs_nonneg B,mul_nonneg hA (sq_nonneg x),mul_nonneg (abs_nonneg B) (sq_nonneg x),mul_nonneg hA hq0,mul_nonneg (mul_nonneg hA hQ.le) (sq_nonneg x)] · nlinarith [hb'.2.1,le_abs_self B,abs_nonneg B,mul_nonneg (abs_nonneg B) (sq_nonneg x),mul_nonneg hA (sq_nonneg x),mul_nonneg (mul_nonneg hA hQ.le) (sq_nonneg x),mul_nonneg hA hQ.le] refine ⟨hval.trans (mul_le_mul_of_nonneg_right (by dsimp [D]; linarith) (by positivity)),?_⟩ exact hb'.2.2.1.trans (mul_le_mul_of_nonneg_right (by dsimp [D]; linarith [mul_nonneg hA (show 0≤1+Q by linarith),abs_nonneg B]) (by positivity)) · intro n hn t htt x simpa only [hleft t htt] using hHbound n m hm hmb _ hF hn (q t) (hq.mapsTo htt) x end MicroscopicJamming end end OAI