Nonnegative component frequencies imply nonnegative combined frequency
ProvedActuarialValuation.poissonSuperposedRate_nonnegactuarial-scienceaggregate-claimsformal-verification
The intensity of a combined set of independent claim classes is the sum of their individual intensities. If both rates are legitimate nonnegative claim frequencies, the combined rate remains nonnegative.
Mathematical statement
Preamble
import Mathlib import Definitions.Def_actuarial_poissonSuperposedRate
Formal statement
namespace ActuarialValuation theorem poissonSuperposedRate_nonneg (a b : ℝ) (ha : 0 ≤ a) (hb : 0 ≤ b) : 0 ≤ poissonSuperposedRate a b := by sorry end ActuarialValuation
Source
S David Promislow (2015), Fundamentals of Actuarial Mathematics (3rd ed), ch 21 sections 21.8-21.9, library PDF pages 411-413; Poisson count thinning and splitting, plus actuarial claim-type superposition. See also SCMA469 Actuarial Statistics chapter 5 https://pairote-sat.github.io/SCMA469/poisson-processes.html
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What the Lean code literally says, in plain math · gpt-6
Independent mathematical reading. Both component rates are assumed at least zero, so their sum is nonnegative. That makes the source's superposed rate a legitimate Poisson intensity. No declaration of joint independence is involved in this positivity property; the count-convolution identity handles the actual distributional part.
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.