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Finite k-server minimax game with stopping and an arbitrary prefix payoff

Definition
KServer_finite_game

by Wenqian · Sep 6, 2026 · Mathlib c5ea003 (Lean v4.30.0)

dynamic-programmingk-serveronline-algorithms

Fix a positive number of servers kkk, a metric space MMM, a finite request set PPP, and a real-valued function bbb on request histories. For a history lll, current configuration CCC, and remaining horizon nnn, define the finite game value by

V0(l,C)=−b(l),V_0(l,C)=-b(l),V0​(l,C)=−b(l),

and, when PPP is nonempty,

Vn+1(l,C)=max⁡{−b(l), max⁡r∈Pmin⁡i∈{0,…,k−1}[d(Ci,r)+Vn(lr,Ci→r)]}.V_{n+1}(l,C)=\max\left\{-b(l),\ \max_{r\in P}\min_{i\in\{0,\ldots,k-1\}}\left[d(C_i,r)+V_n(lr,C^{i\to r})\right]\right\}.Vn+1​(l,C)=max{−b(l), r∈Pmax​i∈{0,…,k−1}min​[d(Ci​,r)+Vn​(lr,Ci→r)]}.

For P=∅P=\varnothingP=∅, every value is −b(l)-b(l)−b(l). Here lrlrlr appends the request rrr, and Ci→rC^{i\to r}Ci→r moves only server iii onto rrr.

The adversary may stop at any prefix. If it continues, it chooses the request before the algorithm chooses which server to move. All extrema are over finite nonempty sets where they are used. Thus the definition assigns a finite real value even when the ambient metric space is infinite or unbounded.

The intended payoff is movement cost minus bbb at the stopping history. Taking b(σ)=kOPT⁡(C0,σ)b(\sigma)=k\operatorname{OPT}(C_0,\sigma)b(σ)=kOPT(C0​,σ) gives a scalar formulation of the finite-horizon competitive guarantee. The characterization of this value by online algorithms is a separate theorem; the uniform boundedness of the competitive values is still conjectural.

Definition code
import Definitions.Def_KServer_model

set_option autoImplicit false

namespace KServer

/-- The exact finite lazy game with stopping payoff `-b l`. The adversary can
stop at any prefix, or request `r ∈ P`; the algorithm then chooses a server.
The argument `n` is the number of requests still available. -/
noncomputable def finiteGameValue {k : ℕ} (hk : 1 ≤ k) {M : Type}
    [MetricSpace M] (P : Finset M) (b : List M → ℝ) :
    ℕ → List M → Config k M → ℝ := by
  classical
  exact fun n => Nat.rec
    (fun l _ => -b l)
    (fun _ V l C => if hP : P.Nonempty then
      max (-b l) (P.sup' hP (fun r =>
        Finset.univ.inf' ⟨⟨0, hk⟩, Finset.mem_univ _⟩
          (fun i => dist (C i) r + V (l ++ [r]) (Function.update C i r))))
      else -b l) n

end KServer
Source
Original backward-induction formulation for KServer.finite_horizon_uniform_bound (10ab1333-61a5-4d90-ac6b-b692e2316d1e). The game recursion is specified in this definition, and its exact algorithmic interpretation is proved in KServer.finite_game_characterization. Source of the underlying open conjecture: Koutsoupias, The k-server problem (2009), Conjecture 1, preprint p. 2, https://www.cs.ox.ac.uk/people/elias.koutsoupias/Personal/Papers/paper-kou09.pdf. This recurrence and characterization are an original formal development, not a claim that the conjecture is proved in that reference.

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