Appendix §1 — the discount renewal function is finite when
ProvedVeinottWagnerSS.RenewalCost.appendix1_MAlpha_summableinventoryp2o-batch-p200bp2o-gran-per-chapterp2o-plan-paperp2o-v1probabilityrenewal-theory
Let be a demand distribution on with distribution functions of its -fold convolutions, and let with . Then for every the series
converges (absolutely, since its terms are non-negative).
The case is immediate; the content is the undiscounted case , where is needed. Finiteness of makes the renewal quantities , and well defined.
Formalization Note Summability is stated for the sequence , , i.e. the paper's sum over .
Preamble
import Mathlib import Definitions.Def_VeinottWagnerSS_RenewalCost_Demand import Definitions.Def_VeinottWagnerSS_RenewalCost_RenewalFunctions
Formal statement
namespace VeinottWagnerSS.RenewalCost
/-- Veinott & Wagner (1965), Appendix §1, p. 546: for `0 ≤ α ≤ 1` with `α φ(0) < 1`, the series
`M_α(k) = ∑_{i=1}^{∞} αⁱ Φⁱ(k)` converges (absolutely: its terms are non-negative) for every
`k = 0, 1, ⋯`. -/
theorem appendix1_MAlpha_summable (D : DemandDist) (α : ℝ) (hα0 : 0 ≤ α) (hα1 : α ≤ 1)
(hφ0 : α * D.φ 0 < 1) (k : ℕ) :
Summable (fun i : ℕ => α ^ (i + 1) * cdfPow D.φ (i + 1) k) := by sorry
end VeinottWagnerSS.RenewalCost
Source
Veinott & Wagner, Computing Optimal (s, S) Inventory Policies, Management Sci. 11 (1965), p. 546, Appendix §1 (Some Renewal Formulas); stated on p. 533
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.