Product-rule derivative for exponentially weighted scale kernels
ProvedAvramDividend.Classical.exp_weighted_scale_hasDerivAtavram-classicalderivativeexponential-dampinggaussian-branchzero-discount
The weighted scale kernel g_theta(x)=exp(-theta x)W(x) has derivative g_theta'(x)=exp(-theta x)(W'(x)-theta W(x)) at every differentiability point. This exact product rule connects the proved weighted derivative integrability to a boundary-safe fundamental theorem of calculus.
Preamble
import Definitions.Def_AvramDividend_Classical_ScaleFunction import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Mathlib.Analysis.Calculus.Deriv.Basic open AvramDividend.Classical MeasureTheory Set
Formal statement
theorem AvramDividend.Classical.exp_weighted_scale_hasDerivAt
(W : ℝ → ℝ) (θ x : ℝ) (hW : DifferentiableAt ℝ W x) :
HasDerivAt (fun y : ℝ => Real.exp (-(θ * y)) * W y)
(Real.exp (-(θ * x)) * (deriv W x - θ * W x)) x := by sorrySource
Real.hasDerivAt_exp, HasDerivAt.const_mul, HasDerivAt.comp and HasDerivAt.mul in Mathlib.