Uniform convex regularization model on the low-energy tail
ProvedBirkhoffGlobalSection.convex_regularization_model_low_energy_tailThere are and a real cutoff such that, for every mass ratio and energy with
the selected Levi--Civita component carries a convex regularization model: smooth symplectic identifications with a model whose energy surface bounds a compact convex body with positive tangential Hessian, plus the positive regularized-to-regularized time change back to the Levi--Civita flow.
Here is the mass ratio, is the energy parameter (so is the very-negative-energy tail), and says the energy lies below the first critical value. The same mass radius applies throughout the unbounded tail; only the cutoff is existential.
This is the uniform strict convexity for very negative energy: far down the tail the problem is uniformly close to Kepler-like, so one convex model works for all large . It is the analytic core behind rational retrograde pages on the tail; the page construction and quotient descent are separate obligations.
Formalization Note The statement is the tail-uniform analogue of the local convex-model statements, with the two-sided window replaced by the one-sided tail . Neither the cutoff value nor the model is prescribed.
import Definitions.Def_BirkhoffGlobalSection_ConvexRegularizationModel
namespace BirkhoffGlobalSection
/-- Uniform convex model on the very-negative-energy tail: a single mass
radius works for all sufficiently large `c`. This is the uniform strict
convexity of Liu--Salomao, Section 10, third paragraph. -/
theorem convex_regularization_model_low_energy_tail :
∃ ε C : ℝ, 0 < ε ∧
∀ μ c : ℝ, 0 < μ → μ < 1 →
|μ - 1 / 2| < ε → C ≤ c → belowFirstCriticalValue μ c →
Nonempty (ConvexRegularizationModel μ c) := by sorry
end BirkhoffGlobalSection