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The integral optimum is attained

Proved
PrimalDualOnline.SetCover.exists_optIntegral

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

approximation-algorithmscombinatoricsprimal-dualset-cover

For a set-cover instance there exists a real number vvv that is the least achievable cover cost: some cover C⊆SC \subseteq SC⊆S has cost exactly vvv, and no cover has cost below vvv. Coverability - a field of the instance - is what guarantees that at least one cover exists, so that the set of achievable costs is nonempty; finiteness of SSS then makes that set finite, so a least element exists. Stated explicitly so that the comparison with the fractional optimum is not vacuous.

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.exists_optIntegral
    {E S : Type*} [Fintype E] [Fintype S] [DecidableEq E] [DecidableEq S]
    (I : SetCoverInstance E S) :
    ∃ v : ℝ, IsOptIntegral I.sets I.cost v := 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 set cover problem statement, p. 10
Read-back

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

Read-backs: attainment and comparison of optimal cover values

Throughout, the following notation is used for the objects the three statements refer to. EEE and SSS are two types (indices for elements and for sets, respectively), each carrying a finiteness assumption. For s∈Ss \in Ss∈S we write As⊆EA_s \subseteq EAs​⊆E for the finite subset of EEE named by the first field of the bundled argument, and c(s)∈Rc(s) \in \mathbb{R}c(s)∈R for the real number named by its second field. For e∈Ee \in Ee∈E we write

cont(e)  =  { s∈S  :  e∈As },\mathrm{cont}(e) \;=\; \{\, s \in S \;:\; e \in A_s \,\},cont(e)={s∈S:e∈As​},

the (finite) set of indices whose set contains eee.

A cover is a finite subset C⊆SC \subseteq SC⊆S such that every e∈Ee \in Ee∈E satisfies e∈Ase \in A_se∈As​ for at least one s∈Cs \in Cs∈C; its cost is ∑s∈Cc(s)\sum_{s \in C} c(s)∑s∈C​c(s), each member of CCC counted once.

A fractional cover is an arbitrary real-valued function x:S→Rx : S \to \mathbb{R}x:S→R satisfying both

x(s)≥0  for every s∈S,∑s∈cont(e)x(s) ≥ 1  for every e∈E;x(s) \ge 0 \ \ \text{for every } s \in S, \qquad \sum_{s \in \mathrm{cont}(e)} x(s) \ \ge\ 1 \ \ \text{for every } e \in E;x(s)≥0  for every s∈S,s∈cont(e)∑​x(s) ≥ 1  for every e∈E;

its cost is ∑s∈Sc(s) x(s)\sum_{s \in S} c(s)\, x(s)∑s∈S​c(s)x(s), summed over all of SSS, not merely over the support of xxx.


PrimalDualOnline.SetCover.exists_optIntegral

Binders, instances and the bundled argument. The statement quantifies over two implicitly given types EEE and SSS in arbitrary universes, and assumes four typeclass instances: EEE is a finite type, SSS is a finite type, equality on EEE is decidable, and equality on SSS is decidable. (The two decidability instances are what allow cont(e)\mathrm{cont}(e)cont(e) to be formed as a finite subset of SSS by filtering; they restrict the types only to the extent of requiring a decision procedure for equality.) There is then one explicit argument III, a bundled set-cover instance over EEE and SSS, which packages exactly four things:

  1. a family A:S→A : S \toA:S→ (finite subsets of EEE), i.e. AsA_sAs​ for each sss;
  2. a cost function c:S→Rc : S \to \mathbb{R}c:S→R;
  3. a proof of nonnegativity of cost: 0≤c(s)0 \le c(s)0≤c(s) for every s∈Ss \in Ss∈S;
  4. a proof of coverability: for every e∈Ee \in Ee∈E there exists some s∈Ss \in Ss∈S with e∈Ase \in A_se∈As​.

Fields 3 and 4 are therefore hypotheses of the statement, carried inside III rather than written as separate assumptions. The conclusion mentions only fields 1 and 2.

The conclusion. There exists a real number vvv which is the least element of the set of achievable integral cover costs

Vint  =  { w∈R  :  some cover C satisfies ∑s∈Cc(s)=w }.V_{\mathrm{int}} \;=\; \Bigl\{\, w \in \mathbb{R} \;:\; \text{some cover } C \text{ satisfies } \textstyle\sum_{s \in C} c(s) = w \,\Bigr\}.Vint​={w∈R:some cover C satisfies ∑s∈C​c(s)=w}.

Expanded into its two component clauses, the assertion is that there is a v∈Rv \in \mathbb{R}v∈R with:

  • (Membership / attainment.) There exists a finite subset C0⊆SC_0 \subseteq SC0​⊆S such that every element e∈Ee \in Ee∈E belongs to AsA_sAs​ for at least one s∈C0s \in C_0s∈C0​, and
∑s∈C0c(s)  =  v.\sum_{s \in C_0} c(s) \;=\; v .s∈C0​∑​c(s)=v.
  • (Lower bound.) For every finite subset C⊆SC \subseteq SC⊆S with the property that every e∈Ee \in Ee∈E belongs to AsA_sAs​ for some s∈Cs \in Cs∈C,
v  ≤  ∑s∈Cc(s).v \;\le\; \sum_{s \in C} c(s).v≤s∈C∑​c(s).

1. Attainment vs. infimum vs. boundedness. The statement asserts attainment: a minimum. The membership clause says vvv is itself the cost of an actual cover, and the lower-bound clause says no cover is cheaper. This is strictly more than asserting that an infimum exists, and strictly more than asserting that the set of cover costs is bounded below: the value is realized by a witness C0C_0C0​. It is not phrased as a greatest-lower-bound property, and it does not assert that the minimizing C0C_0C0​ is unique.

2. Provenance and load-bearing status of the two side conditions.

  • Nonnegativity of cost (0≤c(s)0 \le c(s)0≤c(s) for all sss) is present, as field 3 of the bundled argument III, not as a loose hypothesis. Its role in this particular statement: the range of the quantifier in both clauses is the collection of finite subsets of SSS, and since SSS is a finite type there are only finitely many such subsets, so VintV_{\mathrm{int}}Vint​ is a finite set of reals regardless of the signs of the c(s)c(s)c(s). Dropping nonnegativity therefore does not make either clause unsatisfiable; with negative entries the least element would simply be a possibly negative number, attained at some cover that includes the cheap sets. In that sense the condition is not what makes this statement's two clauses hold.
  • Every element lies in some set (coverability) is present, as field 4 of the bundled argument III. It bears on the membership clause. If it were dropped and some e0∈Ee_0 \in Ee0​∈E had e0∉Ase_0 \notin A_se0​∈/As​ for every s∈Ss \in Ss∈S, then no finite C⊆SC \subseteq SC⊆S could cover e0e_0e0​, so VintV_{\mathrm{int}}Vint​ would be empty; the membership clause v∈Vintv \in V_{\mathrm{int}}v∈Vint​ would then be unsatisfiable for every real vvv, and the existence claim would fail. The lower-bound clause, by contrast, would become vacuously true for every vvv (there being no cover to compare against). The one situation in which dropping coverability changes nothing is EEE empty, where coverability is vacuous anyway.

3. (Not applicable; this item concerns the comparison statement.)

4. Hypotheses relative to the comparison statement. This statement's assumptions are exactly the four typeclass instances and the single bundled argument III. It carries no hypothesis that the comparison statement lacks: the comparison statement has the identical prefix of binders and instances and the identical bundled argument, and then adds two real variables and two hypotheses about them. Nothing here is assumed about fractional covers, about a second value, or about the relationship between the two notions.

5. Degenerate cases silently included.

  • EEE empty. The covering condition is vacuous, so every finite C⊆SC \subseteq SC⊆S — including C=∅C = \emptysetC=∅ — qualifies, and VintV_{\mathrm{int}}Vint​ contains ∑s∈∅c(s)=0\sum_{s \in \emptyset} c(s) = 0∑s∈∅​c(s)=0. Coverability (field 4) is vacuously satisfiable, so such instances exist for any AAA and any nonnegative ccc.
  • SSS empty. Coverability demands an s∈Ss \in Ss∈S for each e∈Ee \in Ee∈E, so a bundled instance with SSS empty can exist only when EEE is empty as well. In that case the only finite subset of SSS is ∅\emptyset∅ and Vint={0}V_{\mathrm{int}} = \{0\}Vint​={0}.
  • c≡0c \equiv 0c≡0. Nonnegativity holds; every cover has cost 000, so Vint⊆{0}V_{\mathrm{int}} \subseteq \{0\}Vint​⊆{0} and the asserted vvv is 000, attained by any cover whatsoever.
  • Individual zero-cost sets. Adding a set sss with c(s)=0c(s) = 0c(s)=0 to a cover leaves the cost unchanged, so the witness C0C_0C0​ in the membership clause need not be minimal with respect to inclusion and need not be unique; the covering condition demands only that C0C_0C0​ cover, never that every member of C0C_0C0​ be needed.
  • Unbounded entries. Not applicable here; the quantifier ranges over finite subsets of SSS, with no numerical entries.

What is NOT asserted. Nothing about fractional covers, linear-programming relaxations, duals or packings. No uniqueness: the claim is a bare existential over vvv, not a unique-existence claim, and no uniqueness of the attaining cover C0C_0C0​ is claimed. No bound on the value — no upper bound, no lower bound such as v≥0v \ge 0v≥0, no relation to ∑s∈Sc(s)\sum_{s \in S} c(s)∑s∈S​c(s) or to any other quantity. No claim that C0C_0C0​ is inclusion-minimal, of minimum cardinality, or computable, and no algorithm, procedure or complexity claim. Nothing about greedy or primal-dual constructions, about cont(e)\mathrm{cont}(e)cont(e), about frequencies, or about approximation ratios. No statement that the value is positive, rational, or nonzero.


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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