Two-sided linear discount sensitivity bounds between fixed scale convolutions
ProvedAvramDividend.Classical.unbounded_scale_discount_two_sided_linear_boundsavram-classicalconvolutiondiscountscale-functionsensitivitytwo-sided-bound
On the nonnegative discount interval up to Q, differences between scale functions at two discounts are bounded above and below by the discount increment multiplied by fixed zero-discount and Q-discount self-convolution constants. The lower constant is strictly positive at positive reserves for unbounded-variation Lévy processes.
Preamble
import Mathlib.Tactic.Linarith import Theorems.Thm_AvramDividend_Classical_unbounded_scale_discount_secant_sandwich import Theorems.Thm_AvramDividend_Classical_unbounded_scale_discount_uniform_secant_bound import Theorems.Thm_AvramDividend_Classical_unbounded_scale_discount_convolution_order open AvramDividend.Classical MeasureTheory Set open scoped NNReal ENNReal
Formal statement
theorem AvramDividend.Classical.unbounded_scale_discount_two_sided_linear_bounds
{Ω : Type*} [mΩ : MeasurableSpace Ω]
{P : Measure Ω} {𝓕 : Filtration ℝ≥0 mΩ}
(X : SpectrallyNegativeLevy P 𝓕) (hnbv : ¬ X.BoundedVariation)
(q₁ q₂ Q : ℝ) (hq₁ : 0 ≤ q₁) (hq₂ : 0 ≤ q₂)
(hQ : 0 ≤ Q) (hq12 : q₁ < q₂) (hq2Q : q₂ ≤ Q)
(W₀ W₁ W₂ WQ : ℝ → ℝ)
(hW₀ : IsScaleFunction X 0 W₀)
(hW₁ : IsScaleFunction X q₁ W₁)
(hW₂ : IsScaleFunction X q₂ W₂)
(hWQ : IsScaleFunction X Q WQ) :
∀ x : ℝ, 0 < x →
(q₂ - q₁) *
(∫ s in Ioc (0 : ℝ) x, W₀ s * W₀ (x - s)) ≤
W₂ x - W₁ x ∧
W₂ x - W₁ x ≤ (q₂ - q₁) *
∫ s in Ioc (0 : ℝ) x, WQ s * WQ (x - s) := by sorrySource
Combination of the proved self-convolution secant sandwich, monotonicity of causal convolution, and uniform upper bound.