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Cash balance: convex finite-horizon values and optimal critical levels

Proved
MDPFinance.InfiniteHorizonApplications.cash_balance_finite_horizon

by fizzyinc3 · Oct 17, 2026 · Mathlib 0df444a (Lean v4.33.1)

convex-optimizationinventory-theorymarkov-decision-process

Consider the cash-balance model with positive transfer rates cu,cdc_u,c_dcu​,cd​, discount 0<β<10<\beta<10<β<1, an integrable cash change ZZZ, and nonnegative convex holding cost LLL satisfying L(0)=0L(0)=0L(0)=0 and superlinear growth in both directions. Let Jn(x)J_n(x)Jn​(x) be the infimum, over measurable Markov policies, of the expected nnn-period discounted cost, with J0=0J_0=0J0​=0.

For every horizon nnn, the finite real-valued conversion of JnJ_nJn​ is convex. There are critical-level sequences Sn−,Sn+S_n^-,S_n^+Sn−​,Sn+​, ordered for every n≥1n\ge1n≥1, such that

Jn(x)={(Sn−−x)cu+L(Sn−)+βE[Jn−1(Sn−−Z)],x<Sn−,L(x)+βE[Jn−1(x−Z)],Sn−≤x≤Sn+,(x−Sn+)cd+L(Sn+)+βE[Jn−1(Sn+−Z)],x>Sn+.J_n(x)=\begin{cases} (S_n^- -x)c_u+L(S_n^-)+\beta\mathbb E[J_{n-1}(S_n^- -Z)],&x<S_n^-,\\ L(x)+\beta\mathbb E[J_{n-1}(x-Z)],&S_n^-\le x\le S_n^+,\\ (x-S_n^+)c_d+L(S_n^+)+\beta\mathbb E[J_{n-1}(S_n^+ -Z)],&x>S_n^+. \end{cases}Jn​(x)=⎩⎨⎧​(Sn−​−x)cu​+L(Sn−​)+βE[Jn−1​(Sn−​−Z)],L(x)+βE[Jn−1​(x−Z)],(x−Sn+​)cd​+L(Sn+​)+βE[Jn−1​(Sn+​−Z)],​x<Sn−​,Sn−​≤x≤Sn+​,x>Sn+​.​

This is the finite-horizon threshold structure of Theorem 2.6.2. It supplies the finite-horizon input for passing jointly converging critical levels to the infinite-horizon limit. It makes no assertion about convergence of the levels or infinite-horizon optimality.

Formalization Note Costs and expectations use extended nonnegative reals; convexity is stated after conversion to real values. Horizon-zero critical levels are unconstrained.

Preamble
import Definitions.Def_MDPFinance_InfiniteHorizonApplications_CashBalance

open MeasureTheory ProbabilityTheory MDPFinance.InfiniteHorizonApplications
Formal statement
theorem MDPFinance.InfiniteHorizonApplications.cash_balance_finite_horizon (Mk : CashBalanceMarket) :
    (∀ n, ConvexOn ℝ Set.univ (fun x => (Mk.Jn n x).toReal)) ∧
      (∃ Sminus Splus : ℕ → ℝ,
        (∀ n, 1 ≤ n → Sminus n ≤ Splus n ∧ ∀ x, Mk.Jn n x =
          if x < Sminus n then
            ENNReal.ofReal ((Sminus n - x) * Mk.cu + Mk.L (Sminus n)) +
              ENNReal.ofReal Mk.β * ∫⁻ z, Mk.Jn (n - 1) (Sminus n - z) ∂Mk.μZ
          else if x ≤ Splus n then
            ENNReal.ofReal (Mk.L x) + ENNReal.ofReal Mk.β * ∫⁻ z, Mk.Jn (n - 1) (x - z) ∂Mk.μZ
          else
            ENNReal.ofReal ((x - Splus n) * Mk.cd + Mk.L (Splus n)) +
              ENNReal.ofReal Mk.β * ∫⁻ z, Mk.Jn (n - 1) (Splus n - z) ∂Mk.μZ)) := by sorry
Source
Bäuerle and Rieder, Markov Decision Processes with Applications to Finance, Springer 2011, DOI 10.1007/978-3-642-18324-9, §2.6.2, Theorem 2.6.2, pp. 46–47 (PDF pp. 61–62), finite-horizon cash-balance critical-level formula. https://link.springer.com/chapter/10.1007/978-3-642-18324-9_2

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