Causal convolution order under increasing scale-function discounts
ProvedAvramDividend.Classical.unbounded_scale_discount_convolution_orderavram-classicalconvexityconvolutiondiscountscale-function
For three ordered nonnegative discount rates, the convolution of the first two scale functions is bounded above by the convolution of the last two. This analytic comparison implies monotonicity of discount secant slopes and convexity of the scale function in its discount parameter.
Preamble
import Mathlib.MeasureTheory.Integral.IntervalIntegral.Basic import Theorems.Thm_AvramDividend_Classical_unbounded_scale_discount_monotone open AvramDividend.Classical MeasureTheory Set open scoped NNReal ENNReal
Formal statement
theorem AvramDividend.Classical.unbounded_scale_discount_convolution_order
{Ω : Type*} [mΩ : MeasurableSpace Ω]
{P : Measure Ω} {𝓕 : Filtration ℝ≥0 mΩ}
(X : SpectrallyNegativeLevy P 𝓕) (hnbv : ¬ X.BoundedVariation)
(q₁ q₂ q₃ : ℝ) (hq₁ : 0 ≤ q₁) (hq₂ : 0 ≤ q₂)
(hq₃ : 0 ≤ q₃) (hq12 : q₁ ≤ q₂) (hq23 : q₂ ≤ q₃)
(W₁ W₂ W₃ : ℝ → ℝ)
(hW₁ : IsScaleFunction X q₁ W₁)
(hW₂ : IsScaleFunction X q₂ W₂)
(hW₃ : IsScaleFunction X q₃ W₃) :
∀ x : ℝ, 0 < x →
(∫ s in Ioc (0 : ℝ) x, W₁ s * W₂ (x - s)) ≤
∫ s in Ioc (0 : ℝ) x, W₂ s * W₃ (x - s) := by sorrySource
Continuous finite-interval convolution integrability, interval-integral monotonicity, and the Proved pointwise discount monotonicity of scale functions.