Strict increase of scale self-convolution with discount
ProvedAvramDividend.Classical.unbounded_scale_self_convolution_strict_discountavram-classicaldiscountscale-functionself-convolutionstrict-monotonicity
For any unbounded-variation spectrally negative Lévy process, the self-convolution integral of its q-scale function over positive reserve is strictly increasing in the nonnegative discount parameter. This provides strict sensitivity bounds for resolvent secants.
Preamble
import Mathlib.MeasureTheory.Integral.IntervalIntegral.Basic import Mathlib.Tactic.Linarith import Theorems.Thm_AvramDividend_Classical_unbounded_scale_discount_strict_monotone import Theorems.Thm_AvramDividend_Classical_scaleFunction_strict_pos_of_unbounded_variation import Theorems.Thm_AvramDividend_Classical_unbounded_scale_zero_origin_nonnegative_discount open AvramDividend.Classical MeasureTheory Set open scoped NNReal ENNReal
Formal statement
theorem AvramDividend.Classical.unbounded_scale_self_convolution_strict_discount
{Ω : Type*} [mΩ : MeasurableSpace Ω]
{P : Measure Ω} {𝓕 : Filtration ℝ≥0 mΩ}
(X : SpectrallyNegativeLevy P 𝓕) (hnbv : ¬ X.BoundedVariation)
(q₁ q₂ : ℝ) (hq₁ : 0 ≤ q₁) (hq₂ : 0 ≤ q₂)
(hq12 : q₁ < q₂) (W₁ W₂ : ℝ → ℝ)
(hW₁ : IsScaleFunction X q₁ W₁)
(hW₂ : IsScaleFunction X q₂ W₂) :
∀ x : ℝ, 0 < x →
(∫ s in Ioc (0 : ℝ) x, W₁ s * W₁ (x - s)) <
∫ s in Ioc (0 : ℝ) x, W₂ s * W₂ (x - s) := by sorrySource
Strict positivity and strict discount monotonicity of q-scale functions integrated against continuous positive kernels.