Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

The transformed discounted value solves the original average cost equation

Proved
ArapostathisAC.RossReduction.rewritten_acoe

by mikedeng1 · Oct 5, 2026 · Mathlib 0df444a (Lean v4.33.1)

average-cost-optimality-equationdiscounted-costp2o-batch-pfp2bp2o-gran-per-chapterp2o-plan-paperp2o-v1

Let M~\widetilde MM have the same admissible actions and bounded nonnegative costs as MMM, and let its transition law be the transformation in Theorem 5.6 for 0<α<10<\alpha<10<α<1. Write J~1−α∗\widetilde J^*_{1-\alpha}J1−α∗​ for its discounted value. Every value J~1−α∗(i)\widetilde J^*_{1-\alpha}(i)J1−α∗​(i) is finite, and the value function is bounded. Moreover, with h(i)=J~1−α∗(i)h(i)=\widetilde J^*_{1-\alpha}(i)h(i)=J1−α∗​(i) and ρ=αJ~1−α∗(0)\rho=\alpha\widetilde J^*_{1-\alpha}(0)ρ=αJ1−α∗​(0),

ρ+h(i)=min⁡a∈U(i){c(i,a)+∑j∈SP(j∣i,a)h(j)}(i∈S).\rho+h(i)=\min_{a\in U(i)}\left\{c(i,a)+\sum_{j\in S}P(j\mid i,a)h(j)\right\}\qquad(i\in S).ρ+h(i)=a∈U(i)min​⎩⎨⎧​c(i,a)+j∈S∑​P(j∣i,a)h(j)⎭⎬⎫​(i∈S).

This is the equation at the center of the reduction from average cost for MMM to discounting for M~\widetilde MM.

Formalization Note The minimum is attained, and the real expectation series is summable. The explicit finiteness conclusion prevents conversion of an infinite discounted value to Lean's default real value zero. The cost bound comes from §5.1.

Preamble
import Mathlib
import Definitions.Def_ArapostathisAC_RossReduction_CMP
Formal statement
namespace ArapostathisAC.RossReduction

/-- The discounted optimality equation for the transformed process,
rewritten as the original process's average cost optimality equation. -/
theorem rewritten_acoe {A : Type*} [MetricSpace A] [MeasurableSpace A] [BorelSpace A]
    (M M' : CMP A) (α : ℝ) (hα : 0 < α) (hα1 : α < 1)
    (hP : ∀ i, ∀ a ∈ M.U i, α ≤ prob M i a 0)
    (hmod : ModifiedLaw M M' α)
    (C : ℝ) (hc : ∀ i, ∀ a ∈ M.U i, M.c i a ≤ C) :
    (∀ i, discValue M' (1 - α) i ≠ ⊤) ∧
    (∃ B : ℝ, ∀ i, |(discValue M' (1 - α) i).toReal| ≤ B) ∧
    ACOE M (α * (discValue M' (1 - α) 0).toReal)
      (fun i => (discValue M' (1 - α) i).toReal) := by sorry

end ArapostathisAC.RossReduction
Source
Arapostathis et al., Discrete-time controlled Markov processes with average cost criterion: a survey, SIAM J. Control Optim. 31(2) (1993), p. 304, displayed ACOE in proof of Theorem 5.6; https://doi.org/10.1137/0331018
Human review
  • Endorsed by Shuze Chen · Oct 5, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 5, 2026

    Confirmed by the mission captain (proposal self-audit).

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me