openAI-math-dataset / lean /OAI /Analysis /AncientFlat /Evolution /EvolutionUniqueness.lean
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Add lean source and binary files (part 10)
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import OAI.Analysis.AncientFlat.Evolution.EvolutionAlgebra
namespace OAI
noncomputable section
open Set Filter
open scoped ContDiff ZeroAtInfty BoundedContinuousFunction Laplacian
namespace ParametrixEvolution
open ParametrixUniqueness
variable {V : Type} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
[FiniteDimensional ℝ V] [MeasurableSpace V] [BorelSpace V]
variable {α β s T C B : ℝ} {A : C(ℝ,V →ᵇ Icc α β)} {b : C(ℝ,V →ᵇ ℂ)}
{d : C₀(V,ℂ)} {u v : ℝ → C₀(V,ℂ)}
omit [MeasurableSpace V] [BorelSpace V] in
lemma Evolves.restrict (hu : Evolves A b s T d u) {r : ℝ} (hr : s≤r) :
Evolves A b r T (u r) u := by
refine ⟨rfl,hu.2.1.mono (Icc_subset_Icc_left hr),?_,?_,?_⟩
· intro t ht; exact hu.2.2.1 t ⟨hr.trans_lt ht.1,ht.2⟩
· intro t ht; exact hu.2.2.2.1 t ⟨hr.trans_lt ht.1,ht.2⟩
· intro t ht; exact hu.2.2.2.2 t ⟨hr.trans_lt ht.1,ht.2⟩
lemma Evolves.zero_unique (hu : Evolves A b s T 0 u) (hsT : s<T) (hα : 0<α)
(hC : 0≤C) (hB : 0≤B)
(hb : ∀ t ∈ Icc s T, ‖b t‖≤B)
(hA : ∀ t ∈ Icc s T, ContDiff ℝ 2 (fun x => (A t x).val))
(hAj : ∀ t ∈ Icc s T, ∀ n : ℕ, n≤2 → ∀ x,
‖iteratedFDeriv ℝ n (fun y => (A t y).val) x‖≤C) :
∀ t ∈ Icc s T, u t=0 := by
let : NormedAddCommGroup (V →ᵇ ℂ) := inferInstance
let : NormedSpace ℝ (V →ᵇ ℂ) := inferInstance
obtain ⟨K,hK0,hK⟩ := exists_energy_constant (V := V) α C hα hC
let w : ℝ → V →ᵇ ℂ := fun r => (u (s+r)).toBCF
have hwc : ContinuousOn w (Icc 0 (T-s)) := by
apply ZeroAtInftyContinuousMap.isometry_toBCF.continuous.comp_continuousOn
apply hu.2.1.comp (continuous_const.add continuous_id).continuousOn
intro t ht
change s+t ∈ Icc s T
exact ⟨by linarith [ht.1],by linarith [ht.2]⟩
have hw0 : mass (w 0 : V → ℂ)=0 := by simp [w,hu.1,mass]
have hd (t : ℝ) (ht : t ∈ Ioo 0 (T-s)) :
∃ e : ℝ, HasDerivAt (fun r => mass (w r : V → ℂ)) e t ∧
e≤(2*K+2*B)*mass (w t : V → ℂ) := by
have hst : s+t ∈ Ioo s T := ⟨by linarith [ht.1],by linarith [ht.2]⟩
have hst' : s+t ∈ Icc s T := ⟨hst.1.le,hst.2.le⟩
obtain ⟨p,hp,hpe⟩ := hu.2.2.2.2 (s+t) hst
have hwt : HasDerivAt w p t := by
have ha : HasDerivAt (fun r : ℝ => s+r) 1 t := (hasDerivAt_id t).const_add s
convert hp.scomp t ha using 1 <;> first | rfl | simp only [one_smul]
have hj : BoundedJets 4 (w t : V → ℂ) := by
intro n hn
obtain ⟨M,hM⟩ := hu.2.2.2.1 (s+t) hst n hn
exact ⟨max M 0,le_max_right _ _,fun x => (hM x).trans (le_max_left _ _)⟩
let a : V →ᵇ ℝ := (A (s+t)).comp Subtype.val (LipschitzWith.subtype_val (Icc α β))
refine ⟨2*pair (w t) p,hasDerivAt_mass hwt,?_⟩
exact energy_rhs_le hα hB a (b (s+t)) (w t) p (hb _ hst') (hA _ hst')
(hAj _ hst') (fun x => (A (s+t) x).property.1) (hu.2.2.1 _ hst) hj hK hpe
have he := nonneg_energy_eq_zero (sub_pos.mpr hsT) (continuousOn_mass hwc) hw0
(fun t _ => mass_nonneg (w t : V → ℂ)) hd
intro t ht
have ht' : t-s ∈ Icc 0 (T-s) := ⟨by linarith [ht.1],by linarith [ht.2]⟩
have hh := mass_eq_zero_bcf (he (t-s) ht')
apply ZeroAtInftyContinuousMap.toBCF_injective V ℂ
change (u t).toBCF=0
simpa [w] using hh
lemma Evolves.unique (hu : Evolves A b s T d u) (hv : Evolves A b s T d v)
(hsT : s≤T) (hα : 0<α) (hC : 0≤C) (hB : 0≤B)
(hb : ∀ t ∈ Icc s T, ‖b t‖≤B)
(hA : ∀ t ∈ Icc s T, ContDiff ℝ 2 (fun x => (A t x).val))
(hAj : ∀ t ∈ Icc s T, ∀ n : ℕ, n≤2 → ∀ x,
‖iteratedFDeriv ℝ n (fun y => (A t y).val) x‖≤C) :
∀ t ∈ Icc s T, u t=v t := by
let : NormedAddCommGroup C₀(V,ℂ) := inferInstance
let : NormedSpace ℂ C₀(V,ℂ) := inferInstance
rcases hsT.eq_or_lt with he|hlt
· subst T
intro t ht
have ht : t=s := le_antisymm ht.2 ht.1
subst t
exact hu.1.trans hv.1.symm
· have hh : Evolves A b s T 0 (fun t => u t+(-1 : ℂ)•v t) := by
simpa only [neg_smul,one_smul,add_neg_cancel] using hu.add (hv.smul (-1))
have hz := hh.zero_unique hlt hα hC hB hb hA hAj
intro t ht
simpa only [neg_smul,one_smul,←sub_eq_add_neg,sub_eq_zero] using hz t ht
end ParametrixEvolution
end
end OAI