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Section 7 — the scheme (7.1) increases, stays below the solution of (3.2) (7.2), and reaches it after finitely many steps

Proved
BellmanRouting.PolicySpace.approxUp_monotone_convergence

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

dynamic-programmingp2o-batch-pfp2bp2o-gran-per-chapterp2o-plan-paperp2o-v1shortest-pathsuccessive-approximations

Let N=n+1≥2N = n + 1 \ge 2N=n+1≥2 and tij>0t_{ij} > 0tij​>0 for i≠ji \ne ji=j, and let fff be a solution of (3.2). Define the approximations (7.1):

f‾i(0)=min⁡j≠itij (i≠N),f‾N(0)=0,f‾i(k+1)=min⁡j≠i [tij+f‾j(k)] (i≠N),f‾N(k+1)=0.\underline f_i^{(0)} = \min_{j \ne i} t_{ij}\ (i \ne N),\quad \underline f_N^{(0)} = 0,\qquad \underline f_i^{(k+1)} = \min_{j \ne i}\,[t_{ij} + \underline f_j^{(k)}]\ (i \ne N),\quad \underline f_N^{(k+1)} = 0 .f​i(0)​=j=imin​tij​ (i=N),f​N(0)​=0,f​i(k+1)​=j=imin​[tij​+f​j(k)​] (i=N),f​N(k+1)​=0.

Then

  1. the sequence increases: f‾i(k+1)≥f‾i(k)\underline f_i^{(k+1)} \ge \underline f_i^{(k)}f​i(k+1)​≥f​i(k)​ for all iii and kkk;
  2. it is bounded by the solution (7.2): f‾i(k)≤fi\underline f_i^{(k)} \le f_if​i(k)​≤fi​ for i=1,…,Ni = 1, \dots, Ni=1,…,N and k=0,1,2,…k = 0, 1, 2, \dotsk=0,1,2,…;
  3. only finitely many iterations are required: there is KKK such that f‾(k)=f\underline f^{(k)} = ff​(k)=f for every k≥Kk \ge Kk≥K.

This is the paper's second scheme, the monotone increasing counterpart of Section 5.

Formalization Note The page writes "converges to {fi}\{f_i\}{fi​} as k→∞k \to \inftyk→∞ … only a finite number of iterations will be required". Item 3 states this as eventual equality. The paper gives no bound on KKK, and none is asserted; KKK may depend on ttt. fff is any solution of (3.2), as on the page ("where {fi}\{f_i\}{fi​} is the solution of (3.2)"); such a solution exists and is unique by the (3.2) and Section 4 items. (7.1) prints "i=1,2,⋯ ,N=1i = 1, 2, \cdots, N = 1i=1,2,⋯,N=1", read as N−1N - 1N−1.

Preamble
import Mathlib
import Definitions.Def_BellmanRouting_PolicySpace_Routing
Formal statement
namespace BellmanRouting.PolicySpace

theorem approxUp_monotone_convergence {n : ℕ} (hn : 1 ≤ n)
    (t : Fin (n + 1) → Fin (n + 1) → ℝ) (ht : ∀ i j, i ≠ j → 0 < t i j)
    (f : Fin (n + 1) → ℝ) (hf : IsRoutingSolution t f) :
    (∀ k i, approxUp t k i ≤ approxUp t (k + 1) i) ∧
      (∀ k i, approxUp t k i ≤ f i) ∧
      ∃ K : ℕ, ∀ k, K ≤ k → approxUp t k = f := by sorry

end BellmanRouting.PolicySpace
Source
Bellman, On a routing problem, Quart. Appl. Math. 16 (1958), pp. 89–90, Section 7, Eqs. (7.1)–(7.3)
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).

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