openAI-math-dataset / lean /OAI /MathematicalPhysics /DefocusingNLS /Spectrum /SpectralCanonicalParameterEquation.lean
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import OAI.MathematicalPhysics.DefocusingNLS.Spectrum.SpectralDifferentiatedOutgoing
import OAI.MathematicalPhysics.DefocusingNLS.Spectrum.SpectralHolomorphicSingularLimit
namespace OAI
/-! The canonical all-orders column inherits the differentiated equation from
the local weighted-resolvent construction, by outgoing uniqueness. -/
open Filter Topology
open scoped BoundedContinuousFunction
namespace DefocusingNLS
local notation "E₄" => (ℂ × ℂ) × (ℂ × ℂ)
theorem canonical_circular_parameter_equation (ν η b : ℂ) (n : ℕ) (hn : 1 ≤ n)
(L : ℝ) (hX : HasRadialExterior ν n b L) (hb : b ≠ 0)
(c : ℂ × ℂ) (Y : ℂ → ℝ → E₄)
(hY : IsCanonicalHolomorphicColumn ν η b n L c Y) (z : ℂ)
(t : ℝ) (ht : 0 < t) :
HasDerivAt (fun s => deriv (fun lam => Y lam s) z)
(circularLeadingField t (deriv (fun lam => Y lam t) z) +
circularBoundedField (ν - 2 * z) (star ν - 2 * z) η n
(radialExteriorCanonical ν n b L t).1 (deriv (fun lam => Y lam t) z) +
circularPointSlopeCLM ν (star ν) z (Y z t)) t := by
obtain ⟨q, hq, hP⟩ := canonical_circular_expansion_data ν b n L hX hb
let C := circularFieldBound (ν - 2 * z) (star ν - 2 * z) η n ‖q‖
have hC : 0 ≤ C := circularFieldBound_nonneg _ _ _ _ _
obtain ⟨N, hN⟩ := exists_nat_gt (C + 1)
obtain ⟨j, hNj, e, he⟩ := hP N
have hNj' : (N : ℝ) ≤ j := by exact_mod_cast hNj
have hj : 0 < j := by
have hj' : (0 : ℝ) < j := by linarith
exact_mod_cast hj'
have hgap : C < 2 * (j : ℝ) := by linarith
obtain ⟨W, _hWa, hWd, _hWlim, hWe, hWp⟩ := exists_differentiated_circular_outgoing
ν (star ν) η n hn (radialExteriorExpansion ν n b j) c j hj q e he
have hcont : Continuous (fun lam : ℂ =>
circularFieldBound (ν - 2 * lam) (star ν - 2 * lam) η n ‖q‖) := by
unfold circularFieldBound
fun_prop
have hnear : ∀ᶠ lam in 𝓝 z,
circularFieldBound (ν - 2 * lam) (star ν - 2 * lam) η n ‖q‖ < 2 * (j : ℝ) :=
hcont.continuousAt.eventually (gt_mem_nhds hgap)
have hsame (s : ℝ) (hs : 0 ≤ s) :
(fun lam => Y lam s) =ᶠ[𝓝 z] (fun lam => W lam s) := by
filter_upwards [hnear] with lam hlam
obtain ⟨k, hjk, w, hw⟩ := hY.2.2.2 lam j
obtain ⟨v, hv⟩ := hWe lam
have heq := circular_outgoing_orders_unique ν (ν - 2 * lam) (star ν - 2 * lam)
η b n hn c j k hjk v w ‖q‖ 0 q (W lam) (Y lam)
(fun r _ => q.norm_coe_le_norm r) (hWd lam hlam)
(fun r hr => by simpa only [hq r hr] using hY.1 lam r hr)
(fun r _ => hv r) hw hlam
exact (heq s (by simpa only [max_self] using hs)).symm
have hderiv (s : ℝ) (hs : 0 ≤ s) :
deriv (fun lam => Y lam s) z = deriv (fun lam => W lam s) z :=
(hsame s hs).deriv_eq
have htime : (fun s => deriv (fun lam => Y lam s) z) =ᶠ[𝓝 t]
(fun s => deriv (fun lam => W lam s) z) := by
filter_upwards [eventually_gt_nhds ht] with s hs
exact hderiv s hs.le
have hd := (hWp z hgap t ht.le).congr_of_eventuallyEq htime
apply hd.congr_deriv
rw [hderiv t ht.le, (hsame t ht.le).eq_of_nhds, ← hq t ht.le]
end DefocusingNLS
end OAI