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BCR 2023, Lemma 12 — chunk systems of ratio Omega(log2k)\\Omega(\\log^2 k)Omega(log2k) on at most k+1k+1k+1 points

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KServer.bcr_chunk_system_family

by Gabewhigham · Sep 4, 2026 · Mathlib c5ea003 (Lean v4.30.0)

competitive-analysisk-serverlower-boundsmetrical-service-systemsonline-algorithms

The recursive core of the Bubeck--Coester--Rabani lower bound, on spaces of at most k+1k+1k+1 points.

Small set chasing (metrical service systems) asks a single server -- the evader -- to move into each of a sequence of requested subsets of a metric space, paying the distance travelled. Bubeck--Coester--Rabani prove that there are nnn-point metric spaces on which small set chasing has randomized competitive ratio Ω(log⁡2n)\Omega(\log^2 n)Ω(log2n), refuting the randomized kkk-server conjecture. The engine of their proof is a recursively constructed chunk system (their Lemma 12).

A chunk system ChunkSystemB X s t cLo cHi T price M between two marked points s,ts,ts,t of a metric space XXX consists of a finitely supported random sequence of MMM chunks of set requests, adapted to an explicit filtration, together with adapted sizes lying in [cLo,cHi][c_{Lo},c_{Hi}][cLo​,cHi​], such that the last request is {t}\{t\}{t}, an offline server starting at sss serves everything for at most d(s,t)d(s,t)d(s,t), the expected total of the sizes is at least TTT, and, conditionally on the history, every deterministic online evader pays at least the size of the current chunk on that chunk -- even if it may escape the chunk for a one-time price.

The statement asserts that there are a constant c>0c>0c>0 and a threshold k0k_0k0​ such that for every k≥k0k \ge k_0k≥k0​ there is a finite metric space XXX with at most k+1k+1k+1 points, two points s≠ts \ne ts=t of it, and a chunk system between them with size floor 000, trivial initial history and nonnegative escape price whose expected total obeys

T  ≥  c (log⁡k)2 d(s,t).T \;\ge\; c\,(\log k)^2\, d(s,t).T≥c(logk)2d(s,t).

Role. Padding such a space to exactly k+1k+1k+1 points (KServer.chunk_system_pad) and then repeating the instance yields the distributional Ω(log⁡2k)\Omega(\log^2 k)Ω(log2k) lower bound for small set chasing on (k+1)(k+1)(k+1)-point spaces, KServer.mss_randomized_lower_bound, and hence the Ω(log⁡2k)\Omega(\log^2 k)Ω(log2k) randomized kkk-server lower bound. Both of those derivations are already machine-checked on the platform, so this statement is what remains of the refutation.

Formalization note. The carrier is existentially quantified as a bare Type together with its MetricSpace and Fintype instances, with the cardinality bound ∣X∣≤k+1|X| \le k+1∣X∣≤k+1 stated separately, so that a construction is free to build whatever space the recursion produces. The size ceiling, escape price and number of chunks are existential, since only the ratio between the expected total and d(s,t)d(s,t)d(s,t) matters downstream. Triviality of the initial history is required because the platform's level-step and mapping combinators both assume and preserve it.

Preamble
import Mathlib
import Definitions.Def_KServer_model
import Definitions.Def_KServer_evader
import Definitions.Def_KServer_evader_bail
import Definitions.Def_KServer_chunk_system_b
Formal statement
namespace KServer

theorem bcr_chunk_system_family :
    ∃ c : ℝ, 0 < c ∧ ∃ k₀ : ℕ, ∀ k : ℕ, k₀ ≤ k →
      ∃ (X : Type) (mX : MetricSpace X) (fX : Fintype X) (s t : X),
        @Fintype.card X fX ≤ k + 1 ∧
        0 < @dist X mX.toDist s t ∧
        ∃ (cHi T price : ℝ) (M : ℕ) (C : @ChunkSystemB X mX s t 0 cHi T price M),
          0 ≤ price ∧
          c * Real.log k ^ 2 * @dist X mX.toDist s t ≤ T ∧
          (∀ ω₁ ω₂ : C.Ω, C.hist 0 ω₁ = C.hist 0 ω₂) := by sorry

end KServer
Source
S. Bubeck, C. Coester, Y. Rabani, 'The randomized k-server conjecture is false!', STOC 2023, https://arxiv.org/abs/2211.05753, Section 4, Lemma 12 (for every w a random sequence of chunks in M_w with sizes c_i and expected total at least alpha w^2 d_w(s_w,t_w), where |M_w| <= beta*6^w), stated for w = Theta(log k) so that the space has at most k+1 points.

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