openAI-math-dataset / lean /OAI /Analysis /AncientFlat /Kernel /KernelChangingPair.lean
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import OAI.Analysis.AncientFlat.Kernel.ClassicalBase
import OAI.Analysis.AncientFlat.Evolution.ChangingPair
namespace OAI
noncomputable section
open Set Filter MeasureTheory
open scoped Topology ContDiff BoundedContinuousFunction
namespace FlatDuality
open BiharmonicKernel
variable {V : Type} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
[FiniteDimensional ℝ V] [MeasurableSpace V] [BorelSpace V]
def kernelTest (θ γ : ℝ → ℝ) (z : V) (r : ℝ) (x : V) : ℂ :=
(γ r : ℂ)*kernel (θ r) (x-z)
def kernelTestDeriv (θ γ : ℝ → ℝ) (z : V) (r : ℝ) (x : V) : ℂ :=
(Complex.ofReal (deriv γ r))*kernel (θ r) (x-z)+
(γ r : ℂ)*(-bilapKernel (θ r) (x-z)*(Complex.ofReal (deriv θ r)))
lemma hasDerivAt_kernelTest (θ γ : ℝ → ℝ) (z : V) (r : ℝ)
(hθ : DifferentiableAt ℝ θ r) (hγ : DifferentiableAt ℝ γ r) (hr : 0<θ r) (x : V) :
HasDerivAt (fun s => kernelTest θ γ z s x) (kernelTestDeriv θ γ z r x) r := by
simpa only [kernelTest,kernelTestDeriv,Function.comp_def,Complex.real_smul,mul_comm (Complex.ofReal (deriv θ r))] using!
hγ.hasDerivAt.ofReal_comp.mul ((hasDerivAt_kernel_bilap (θ r) hr (x-z)).scomp r hθ.hasDerivAt)
lemma continuous_kernelTest (θ γ : ℝ → ℝ) (z : V) (r : ℝ) (hr : 0<θ r) :
Continuous (kernelTest θ γ z r) :=
continuous_const.mul (continuous_kernel_comp (fun _ : V => θ r) (fun x => x-z)
continuous_const (continuous_id.sub continuous_const) (fun _ => hr))
lemma continuous_kernelTestDeriv (θ γ : ℝ → ℝ) (z : V) (r : ℝ) (hr : 0<θ r) :
Continuous (kernelTestDeriv θ γ z r) :=
(continuous_const.mul (continuous_kernel_comp (fun _ : V => θ r) (fun x => x-z)
continuous_const (continuous_id.sub continuous_const) (fun _ => hr))).add
(continuous_const.mul (((continuous_bilapKernel_comp (fun _ : V => θ r) (fun x => x-z)
continuous_const (continuous_id.sub continuous_const) (fun _ => hr)).neg).mul continuous_const))
lemma hasDerivAt_kernel_pair (θ γ : ℝ → ℝ) (hθ : ContDiff ℝ 1 θ) (hγ : ContDiff ℝ 1 γ)
(z : V) {u : ℝ → V →ᵇ ℂ} {p : V →ᵇ ℂ} {t : ℝ}
(hu : HasDerivAt u p t) (ht : 0<θ t) :
HasDerivAt (fun r => ∫ x, kernelTest θ γ z r x*u r x)
(∫ x, kernelTestDeriv θ γ z t x*u t x+kernelTest θ γ z t x*p x) t := by
let a := θ t/2
let b := 2*θ t
let G := ‖γ t‖+1
let D := ‖deriv γ t‖+1
let Q := ‖deriv θ t‖+1
have ha : 0<a := by dsimp [a]; positivity
have hG : 0<G := by dsimp [G]; positivity
have hD : 0<D := by dsimp [D]; positivity
have hQ : 0<Q := by dsimp [Q]; positivity
have hθn : ∀ᶠ r in 𝓝 t, θ r ∈ Ioo a b :=
hθ.continuous.continuousAt.eventually (Ioo_mem_nhds (by dsimp [a]; linarith) (by dsimp [b]; linarith))
have hγn : ∀ᶠ r in 𝓝 t, ‖γ r‖<G :=
hγ.continuous.continuousAt.norm.eventually (gt_mem_nhds (lt_add_one _))
have hDn : ∀ᶠ r in 𝓝 t, ‖deriv γ r‖<D :=
hγ.continuous_deriv_one.continuousAt.norm.eventually (gt_mem_nhds (lt_add_one _))
have hQn : ∀ᶠ r in 𝓝 t, ‖deriv θ r‖<Q :=
hθ.continuous_deriv_one.continuousAt.norm.eventually (gt_mem_nhds (lt_add_one _))
obtain ⟨δ,hδ,hball⟩ := Metric.mem_nhds_iff.mp (hθn.and (hγn.and (hDn.and hQn)))
have hb0 : t ∈ Metric.ball t δ := Metric.mem_ball_self hδ
obtain ⟨A,hAi,hAn,hAb⟩ := FrozenParametrix.kernel_majorant_nonneg (V := V) a b ha
obtain ⟨B,hBi,_,hBn,hBb⟩ := bilapKernel_weighted_majorant (V := V) a b ha
let A₁ : V → ℝ := fun x => G*A (x-z)
let B₁ : V → ℝ := fun x => D*A (x-z)+(G*Q)*B (x-z)
have hAbound : ∀ r ∈ Metric.ball t δ, ∀ x, ‖kernelTest θ γ z r x‖≤A₁ x := by
intro r hr x
obtain ⟨hq,hg,_,_⟩ := hball hr
change ‖(γ r : ℂ)*kernel (θ r) (x-z)‖≤G*A (x-z)
rw [norm_mul,Complex.norm_real]
exact mul_le_mul hg.le (hAb _ ⟨hq.1.le,hq.2.le⟩ _) (norm_nonneg _) hG.le
have hBbound : ∀ r ∈ Metric.ball t δ, ∀ x, ‖kernelTestDeriv θ γ z r x‖≤B₁ x := by
intro r hr x
obtain ⟨hq,hg,hd,hq'⟩ := hball hr
unfold kernelTestDeriv
apply (norm_add_le _ _).trans
rw [norm_mul,norm_mul,norm_mul,norm_neg,Complex.norm_real,Complex.norm_real,Complex.norm_real]
calc
_ ≤ D*A (x-z)+G*(B (x-z)*Q) := add_le_add
(mul_le_mul hd.le (hAb _ ⟨hq.1.le,hq.2.le⟩ _) (norm_nonneg _) hD.le)
(mul_le_mul hg.le (mul_le_mul (hBb _ ⟨hq.1.le,hq.2.le⟩ _) hq'.le
(norm_nonneg _) (hBn _)) (mul_nonneg (norm_nonneg _) (norm_nonneg _)) hG.le)
_ = B₁ x := by dsimp [B₁]; ring
refine hasDerivAt_changing_pair hu (kernelTest θ γ z) (kernelTestDeriv θ γ z t)
(Metric.ball t δ) (Metric.ball_mem_nhds t hδ)
?_ ?_ ?_ A₁ B₁ ?_ ?_ ?_ ?_ ?_ ?_
· intro r hr
exact (continuous_kernelTest θ γ z r (ha.trans (hball hr).1.1)).aestronglyMeasurable
· exact (continuous_kernelTestDeriv θ γ z t ht).aestronglyMeasurable
· exact hasDerivAt_kernelTest θ γ z t ((hθ.differentiable (by norm_num)) t) ((hγ.differentiable (by norm_num)) t) ht
· exact (hAi.comp_sub_right z).const_mul G
· exact ((hAi.comp_sub_right z).const_mul D).add ((hBi.comp_sub_right z).const_mul (G*Q))
· exact fun x => mul_nonneg hG.le (hAn _)
· exact fun x => add_nonneg (mul_nonneg hD.le (hAn _)) (mul_nonneg (mul_nonneg hG.le hQ.le) (hBn _))
· exact hAbound
· intro r hr x
exact Convex.norm_image_sub_le_of_norm_hasDerivWithin_le
(fun s hs => (hasDerivAt_kernelTest θ γ z s ((hθ.differentiable (by norm_num)) s)
((hγ.differentiable (by norm_num)) s) (ha.trans (hball hs).1.1) x).hasDerivWithinAt)
(fun s hs => hBbound s hs x) (convex_ball t δ) hb0 hr
end FlatDuality
end
end OAI