Countably infinite count laws and convolution powers: ipConvolve_nonneg
ProvedActuarialValuation.ipConvolve_nonnegactuarial-scienceformal-verificationinfinite-panjer-frequency
Convolution preserves nonnegative probabilities. This original derived actuarial relation uses the parameter restrictions, endpoints and units stated in the separate formal theorem or definition.
Mathematical relation:
Preamble
import Mathlib.Data.Real.Basic import Mathlib.Algebra.BigOperators.Group.Finset.Basic import Mathlib.Topology.Algebra.InfiniteSum.Basic import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Definitions.Def_actuarial_ipConvolve
Formal statement
namespace ActuarialValuation theorem ipConvolve_nonneg (f g : ℕ → ℝ) (k : ℕ) (hf : ∀ i, 0≤f i) (hg : ∀ i, 0≤g i) : 0≤ ipConvolve f g k := by sorry end ActuarialValuation
Source
Original derived actuarial mathematics, published source page 22. Harry H. Panjer (1981), Recursive Evaluation of a Family of Compound Distributions, https://doi.org/10.1017/S0515036100006796; Sundt and Jewell (1981), Further Results, https://doi.org/10.1017/S0515036100006802; Promislow (2015), Fundamentals of Actuarial Mathematics, chapter 21. Parent topic: Poisson and geometric count laws, infinite frequency-severity convolution, analytic probability generating functions and corrected aggregate recursions. The particular Lean formula is a new finite/real-algebraic formalisation and remains an unproved theorem target if labelled theorem. Relevant published actuarial derivation: https://www.casact.org/abstract/recursive-evaluation-family-compound-distributions
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.