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Double counting: a tight cover costs at most fff times the dual value

Proved
PrimalDualOnline.SetCover.coverCost_le_maxFrequency_mul_packing

by moutei · Sep 17, 2026 · Mathlib 0df444a (Lean v4.33.1)

approximation-algorithmscombinatoricsprimal-dualset-cover

The substantive step inside Theorem 2.6, isolated so that the goal reduces to it plus weak duality. For a primal-dual certificate (C,y)(C, y)(C,y),

∑s∈Ccs ≤ f⋅∑e∈Eye.\sum_{s \in C} c_s \ \le\ f \cdot \sum_{e \in E} y_e .s∈C∑​cs​ ≤ f⋅e∈E∑​ye​.

Tightness on the chosen sets rewrites the left side as ∑s∈C∑e∈Asye\sum_{s \in C} \sum_{e \in A_s} y_e∑s∈C​∑e∈As​​ye​. Exchanging the order of summation groups this by element: each eee contributes yey_eye​ once for every chosen set containing it, that is ∣{s∈C:e∈As}∣|\{s \in C : e \in A_s\}|∣{s∈C:e∈As​}∣ times, and that count is at most the element's frequency and hence at most fff. Nonnegativity of yyy is what lets the count be replaced by the bound fff.

Note that this step does not mention a fractional cover at all, and that fff is a property of the whole family over all of SSS - nothing ties it to CCC.

Instance-bundled hypotheses. The problem's two standing assumptions - every set cost is nonnegative, and every element lies in at least one available set - are not loose hypotheses of this statement. They are fields of the SetCoverInstance argument, so the statement cannot be instantiated at data violating either.

Preamble
import Definitions.Def_PrimalDualOnline_SetCover
import Mathlib.Tactic
Formal statement
open PrimalDualOnline.SetCover

theorem PrimalDualOnline.SetCover.coverCost_le_maxFrequency_mul_packing
    {E S : Type*} [Fintype E] [Fintype S] [DecidableEq E] [DecidableEq S]
    (I : SetCoverInstance E S) (C : Finset S) (y : E → ℝ)
    (hcert : IsPrimalDualCertificate I.sets I.cost C y) :
    coverCost I.cost C ≤ (maxFrequency I.sets : ℝ) * packingValue y := by sorry
Source
Niv Buchbinder, Designing Competitive Online Algorithms via a Primal-Dual Approach, PhD thesis, Tel Aviv University, 2008, https://www.tau.ac.il/~nivb/download/phd-thsis.pdf, Section 2.2, the double-counting step in the proof of Theorem 2.6, p. 14
Read-back

What the Lean code literally says, in plain math · claude-opus-5

Read-backs: certificate bounds

Throughout, the shared vocabulary is expanded as follows. A set-cover instance III on two types EEE (elements) and SSS (set indices) is a bundle of exactly four components:

  • a family A:S→Pfin(E)A : S \to \mathcal{P}_{\mathrm{fin}}(E)A:S→Pfin​(E), i.e. a finite subset As⊆EA_s \subseteq EAs​⊆E for each index sss;
  • a cost function c:S→Rc : S \to \mathbb{R}c:S→R;
  • a proof of nonnegative cost: ∀s∈S, 0≤cs\forall s \in S,\ 0 \le c_s∀s∈S, 0≤cs​;
  • a proof of coverability: ∀e∈E, ∃s∈S, e∈As\forall e \in E,\ \exists s \in S,\ e \in A_s∀e∈E, ∃s∈S, e∈As​.

Derived notions, all expanded inline in each section below:

N(e)  =  { s∈S  :  e∈As },f(e)  =  ∣N(e)∣∈N,Δ  =  sup⁡e∈Ef(e)∈N,N(e) \;=\; \{\, s \in S \;:\; e \in A_s \,\}, \qquad f(e) \;=\; |N(e)| \in \mathbb{N}, \qquad \Delta \;=\; \sup_{e \in E} f(e) \in \mathbb{N},N(e)={s∈S:e∈As​},f(e)=∣N(e)∣∈N,Δ=e∈Esup​f(e)∈N,

where N(e)N(e)N(e) is formed by filtering the whole index type SSS, f(e)f(e)f(e) is a cardinality in N\mathbb{N}N, and Δ\DeltaΔ is a supremum in N\mathbb{N}N taken over all of EEE — a supremum of an empty family, which is 000 when EEE is empty. Further:

coverCost(c,C)=∑s∈Ccs,fracCost(c,x)=∑s∈Scsxs,pack(y)=∑e∈Eye.\mathrm{coverCost}(c, \mathcal{C}) = \sum_{s \in \mathcal{C}} c_s, \qquad \mathrm{fracCost}(c, x) = \sum_{s \in S} c_s x_s, \qquad \mathrm{pack}(y) = \sum_{e \in E} y_e .coverCost(c,C)=s∈C∑​cs​,fracCost(c,x)=s∈S∑​cs​xs​,pack(y)=e∈E∑​ye​.

coverCost\mathrm{coverCost}coverCost sums only over the given finite index set C\mathcal{C}C; fracCost\mathrm{fracCost}fracCost sums over all of SSS; pack\mathrm{pack}pack sums over all of EEE.


PrimalDualOnline.SetCover.coverCost_le_maxFrequency_mul_packing

Binders and instance arguments. Universally quantified over arbitrary types EEE and SSS (implicit), with four typeclass arguments: EEE finite, SSS finite, equality on EEE decidable, equality on SSS decidable. Either type may be empty. Decidable equality on SSS is needed to form N(e)N(e)N(e) and hence the frequencies; decidable equality on EEE is required as an instance argument though no notion in the statement refers to it. Three explicit arguments: a set-cover instance III on E,SE, SE,S (carrying AAA, ccc, the proof ∀s, 0≤cs\forall s,\ 0 \le c_s∀s, 0≤cs​, and the proof ∀e∃s, e∈As\forall e \exists s,\ e \in A_s∀e∃s, e∈As​); a finite set of indices C⊆S\mathcal{C} \subseteq SC⊆S; and a function y:E→Ry : E \to \mathbb{R}y:E→R.

Hypothesis. A single hypothesis: (C,y)(\mathcal{C}, y)(C,y) is a primal–dual certificate for (A,c)(A, c)(A,c). This unfolds to a conjunction of three parts, the middle one itself a conjunction:

  1. C\mathcal{C}C covers EEE: ∀e∈E, ∃s∈C, e∈As\forall e \in E,\ \exists s \in \mathcal{C},\ e \in A_s∀e∈E, ∃s∈C, e∈As​.
  2. yyy is a dual packing: ∀e∈E, 0≤ye\forall e \in E,\ 0 \le y_e∀e∈E, 0≤ye​, and ∀s∈S, ∑e∈Asye≤cs\forall s \in S,\ \sum_{e \in A_s} y_e \le c_s∀s∈S, ∑e∈As​​ye​≤cs​ — the inequality holding at every index of SSS, not only those in C\mathcal{C}C.
  3. Tightness on C\mathcal{C}C: ∀s∈C, ∑e∈Asye=cs\forall s \in \mathcal{C},\ \sum_{e \in A_s} y_e = c_s∀s∈C, ∑e∈As​​ye​=cs​, an exact equality.

Conclusion.

∑s∈Ccs    ≤    Δ⋅∑e∈Eye,Δ=sup⁡e∈E∣{s∈S:e∈As}∣,\sum_{s \in \mathcal{C}} c_s \;\;\le\;\; \Delta \cdot \sum_{e \in E} y_e, \qquad \Delta = \sup_{e \in E} \bigl| \{ s \in S : e \in A_s \} \bigr| ,s∈C∑​cs​≤Δ⋅e∈E∑​ye​,Δ=e∈Esup​​{s∈S:e∈As​}​,

with Δ\DeltaΔ a natural number cast into R\mathbb{R}R. The frequencies counted in Δ\DeltaΔ range over all of SSS, including indices outside C\mathcal{C}C.

1. Nonnegativity of cost; every element in some set. Both are fields of the bundled argument III, not loose hypotheses. The statement therefore cannot be instantiated at data violating either: III cannot be constructed without both proofs.

2. Logical redundancy.

  • Nonnegativity of cost is derivable from conjunct 2: y≥0y \ge 0y≥0 makes ∑e∈Asye\sum_{e \in A_s} y_e∑e∈As​​ye​ a sum of nonnegative terms, so 0≤∑e∈Asye≤cs0 \le \sum_{e \in A_s} y_e \le c_s0≤∑e∈As​​ye​≤cs​ for every sss.
  • Coverability is derivable from conjunct 1: a witness s∈Cs \in \mathcal{C}s∈C with e∈Ase \in A_se∈As​ is in particular a witness s∈Ss \in Ss∈S with e∈Ase \in A_se∈As​.
  • Within the certificate there is a partial overlap: for indices s∈Cs \in \mathcal{C}s∈C, the packing inequality of conjunct 2 follows from the equality of conjunct 3. So conjunct 2's family of inequalities is doing independent work only at indices outside C\mathcal{C}C; its nonnegativity half, y≥0y \ge 0y≥0, is not derivable from anything else, nor is conjunct 1, nor conjunct 3 (the equality does not follow from the inequality).

Dropping the two bundled fields would not change the situations covered: any A,c,C,yA, c, \mathcal{C}, yA,c,C,y satisfying the certificate hypothesis already satisfies both. Replacing conjunct 2's inequalities by the restriction "∀s∉C\forall s \notin \mathcal{C}∀s∈/C" would likewise cover exactly the same situations.

3. Arbitrary or specific. No fractional cover appears in this statement. The cover C\mathcal{C}C is arbitrary, constrained only by being a covering index set that is tight for yyy; it is not claimed to be minimum-cost, minimal, or produced by any procedure. The dual vector yyy is arbitrary, constrained only by being a dual packing tight on C\mathcal{C}C; it is not claimed to be of maximum packing value.

4. Cast from N\mathbb{N}N to R\mathbb{R}R. The cast occurs at the multiplier: Δ\DeltaΔ, the maximum frequency, is computed in N\mathbb{N}N (a supremum of cardinalities over the finite type EEE, with the empty supremum equal to 000) and then cast into R\mathbb{R}R to be multiplied by the real number pack(y)\mathrm{pack}(y)pack(y). When the cast value is 000, the conclusion reduces to

∑s∈Ccs  ≤  0.\sum_{s \in \mathcal{C}} c_s \;\le\; 0 .s∈C∑​cs​≤0.

Δ=0\Delta = 0Δ=0 means every element has frequency 000, or that there is no element at all. Coverability (a field of III, and also a consequence of conjunct 1) gives f(e)≥1f(e) \ge 1f(e)≥1 for every e∈Ee \in Ee∈E, so under these hypotheses Δ=0\Delta = 0Δ=0 happens exactly when EEE is empty. In that case the hypotheses force both sides to be 000: each AsA_sAs​ is a subset of the empty type and hence empty, so conjunct 3 gives cs=∑e∈Asye=0c_s = \sum_{e \in A_s} y_e = 0cs​=∑e∈As​​ye​=0 for every s∈Cs \in \mathcal{C}s∈C, whence coverCost(c,C)=0\mathrm{coverCost}(c,\mathcal{C}) = 0coverCost(c,C)=0; and pack(y)=0\mathrm{pack}(y) = 0pack(y)=0 as an empty sum, so the right-hand side is 0⋅0=00 \cdot 0 = 00⋅0=0. The claim becomes 0≤00 \le 00≤0.

5. Degenerate cases.

  • EEE empty. As just described: covering is vacuous, y≥0y \ge 0y≥0 is vacuous, Δ=0\Delta = 0Δ=0, pack(y)=0\mathrm{pack}(y) = 0pack(y)=0, tightness forces cs=0c_s = 0cs​=0 on C\mathcal{C}C, and the conclusion is 0≤00 \le 00≤0. Every y:E→Ry : E \to \mathbb{R}y:E→R is admissible (there are no elements to constrain).
  • SSS empty. The only finite index set is C=∅\mathcal{C} = \emptysetC=∅, and the bundled coverability field then requires EEE empty as well; all three quantities coverCost\mathrm{coverCost}coverCost, Δ\DeltaΔ, pack\mathrm{pack}pack are 000.
  • C\mathcal{C}C empty. Conjunct 1 then demands, for each eee, an index in the empty set — impossible unless EEE is empty. So C=∅\mathcal{C} = \emptysetC=∅ is admissible only in the EEE-empty case, where the conclusion is 0≤00 \le 00≤0.
  • c≡0c \equiv 0c≡0. Conjunct 2 forces ∑e∈Asye≤0\sum_{e \in A_s} y_e \le 0∑e∈As​​ye​≤0, and with y≥0y \ge 0y≥0 this gives ye=0y_e = 0ye​=0 for every eee belonging to some AsA_sAs​, i.e. (by coverability) for every eee. Then pack(y)=0\mathrm{pack}(y) = 0pack(y)=0 and coverCost(c,C)=0\mathrm{coverCost}(c,\mathcal{C}) = 0coverCost(c,C)=0: the conclusion is 0≤Δ⋅0=00 \le \Delta \cdot 0 = 00≤Δ⋅0=0.
  • Individual zero-cost sets inside the certificate. If cs=0c_s = 0cs​=0 for some s∈Cs \in \mathcal{C}s∈C, conjunct 3 gives ∑e∈Asye=0\sum_{e \in A_s} y_e = 0∑e∈As​​ye​=0, and with y≥0y \ge 0y≥0 this forces ye=0y_e = 0ye​=0 for every e∈Ase \in A_se∈As​. The same conclusion follows from conjunct 2 for a zero-cost index outside C\mathcal{C}C. Thus zero-cost sets pin the dual to zero on all their elements.
  • Δ\DeltaΔ small or large. Δ=1\Delta = 1Δ=1 (every element in exactly one set) leaves the conclusion coverCost(c,C)≤pack(y)\mathrm{coverCost}(c,\mathcal{C}) \le \mathrm{pack}(y)coverCost(c,C)≤pack(y); large Δ\DeltaΔ weakens it. Nothing in the statement bounds Δ\DeltaΔ against ∣C∣|\mathcal{C}|∣C∣, ∣S∣|S|∣S∣, or ∣E∣|E|∣E∣, nor relates Δ\DeltaΔ to C\mathcal{C}C in any way — it is a property of the whole family AAA.
  • ρ\rhoρ. Not applicable: no external multiplier appears; the multiplier is the cast maximum frequency.
  • Unbounded entries of a fractional cover. Not applicable: no fractional cover appears.
  • Indices in C\mathcal{C}C may carry empty or duplicated subsets; C\mathcal{C}C may contain indices whose removal would still leave a cover.

Not asserted. No claim that C\mathcal{C}C is a minimum-cost cover or that yyy has maximum packing value; the least-cover-cost and least-fractional-cost notions in the vocabulary are not mentioned, so nothing is asserted about any optimum. No comparison with the fractional relaxation. No claim that a primal–dual certificate exists for any instance, nor that the hypotheses are satisfiable. No claim that Δ≥1\Delta \ge 1Δ≥1, that the bound is tight or attained, no reverse inequality, and no strict inequality. Nothing about algorithms, online arrival, or how C\mathcal{C}C and yyy might be produced.


Human review
  • Endorsed by Shuze Chen · Sep 17, 2026

  • Endorsed by moutei · Sep 17, 2026

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

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