Scale derivative divergence from corrected two-sided exits and positive-axis differentiability
ProvedAvramDividend.Classical.scaleDeriv_tendsto_atTop_of_corrected_exit_and_diffavram-classicalcstarderivative-growthesscherscale-functions
For a spectrally negative Levy process satisfying Standing and q>0, the corrected two-sided killed-exit scale identity combined with differentiability of the q-scale function at every positive point implies W'(x) tends to positive infinity as x grows. This is the original cstar derivative-growth conclusion conditional on precisely the two missing stochastic/regularity prerequisites. The fully Proved proof imports the corrected-exit Esscher positivity-monotonicity case split and the already Proved deterministic derivative-growth theorem for a positive exponentially normalised monotone function. The conditions are explicit and no unproved limit or target theorem is imported.
Preamble
import Definitions.Def_AvramDividend_Classical_SpectrallyNegativeLevy import Definitions.Def_AvramDividend_Classical_ScaleFunction import Definitions.Def_AvramDividend_Classical_TwoSidedExitCorrected import Theorems.Thm_AvramDividend_Classical_scaleFunction_tilted_positive_monotone_of_corrected_exit import Theorems.Thm_AvramDividend_Classical_scale_deriv_tendsto_atTop_of_normalized_monotone import Mathlib.Analysis.Calculus.Deriv.Basic open AvramDividend.Classical MeasureTheory Filter Set open scoped NNReal ENNReal
Formal statement
theorem AvramDividend.Classical.scaleDeriv_tendsto_atTop_of_corrected_exit_and_diff
{Ω : Type*} [mΩ : MeasurableSpace Ω]
{P : Measure Ω} {𝓕 : Filtration ℝ≥0 mΩ}
(X : SpectrallyNegativeLevy P 𝓕) (hX : X.Standing)
(q : ℝ) (hq : 0 < q)
(W : ℝ → ℝ) (hW : IsScaleFunction X q W)
(hExit : ∀ a x : ℝ, 0 < a → 0 ≤ x → x ≤ a →
twoSidedExitExpectationCorrected X q a x =
ENNReal.ofReal (W x / W a))
(hdiff : ∀ x : ℝ, 0 < x → DifferentiableAt ℝ W x) :
Tendsto (deriv W) atTop atTop := by sorrySource
Avram Palmowski Pistorius (2007), q-scale Esscher normalisation; Proved AvramDividend.Classical.scale_deriv_tendsto_atTop_of_normalized_monotone.