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The fractional cost of an indicator is the cover cost (assisting theorem)

Proved
PrimalDualOnline.SetCover.indicator_cost

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

approximation-algorithmscombinatoricsprimal-dualset-cover

A generalized assisting theorem, not a source-facing statement. For any cost function and any finite C⊆SC \subseteq SC⊆S,

∑s∈Scs⋅1C(s) = ∑s∈Ccs.\sum_{s \in S} c_s \cdot \mathbf{1}_C(s) \ =\ \sum_{s \in C} c_s.s∈S∑​cs​⋅1C​(s) = s∈C∑​cs​.

Restricting the index range to CCC and weighting the full range by the indicator of CCC give the same value. There are no hypotheses at all: costs may be negative and CCC need not cover anything. No set family is in scope, so there is no SetCoverInstance to take. Paired with the previous item, this is what makes the embedding of integral into fractional solutions cost-preserving.

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

theorem PrimalDualOnline.SetCover.indicator_cost
    {E S : Type*} [Fintype E] [Fintype S] [DecidableEq E] [DecidableEq S]
    (cost : S → ℝ) (C : Finset S) :
    fractionalCost cost (indicator C) = coverCost cost C := 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 LP relaxation of program (P), p. 10 (stated here in generalized, instance-free form)
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What the Lean code literally says, in plain math · claude-opus-5

Notation shared by all four statements

Throughout, EEE and SSS are arbitrary types carrying the instance assumptions that each is a finite type (EEE, SSS finite) and that equality is decidable on each of them (EEE and SSS both have decidable equality; the decidability on SSS is what permits the constructions cont\mathrm{cont}cont and 1C\mathbf{1}_C1C​ below to be written at all). Elements of EEE are thought of as points and elements of SSS as indices.

A family of sets is a function A:S→Pfin(E)A : S \to \mathcal{P}_{\mathrm{fin}}(E)A:S→Pfin​(E), written s↦Ass \mapsto A_ss↦As​, assigning to each index sss a finite subset As⊆EA_s \subseteq EAs​⊆E. A cost function is c:S→Rc : S \to \mathbb{R}c:S→R, written s↦css \mapsto c_ss↦cs​; its values are arbitrary real numbers unless a hypothesis restricts them.

The auxiliary notions used below are, spelled out:

  • 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 the point eee.
  • Coverable for AAA: for every point e∈Ee \in Ee∈E there exists an index s∈Ss \in Ss∈S with e∈Ase \in A_se∈As​. Equivalently, cont(e)≠∅\mathrm{cont}(e) \neq \varnothingcont(e)=∅ for every eee.
  • NonnegCost for ccc: cs≥0c_s \ge 0cs​≥0 for every s∈Ss \in Ss∈S.
  • CCC is a cover (for a finite C⊆SC \subseteq SC⊆S): for every e∈Ee \in Ee∈E there exists s∈Cs \in Cs∈C with e∈Ase \in A_se∈As​.
  • Cover cost: coverCost(c,C):=∑s∈Ccs\mathrm{coverCost}(c, C) := \sum_{s \in C} c_scoverCost(c,C):=∑s∈C​cs​, a finite sum over the members of CCC.
  • xxx is a fractional cover (for x:S→Rx : S \to \mathbb{R}x:S→R): both
xs≥0for every s∈S,and∑s∈cont(e)xs ≥ 1for every e∈E.x_s \ge 0 \quad \text{for every } s \in S, \qquad \text{and} \qquad \sum_{s \in \mathrm{cont}(e)} x_s \ \ge\ 1 \quad \text{for every } e \in E .xs​≥0for every s∈S,ands∈cont(e)∑​xs​ ≥ 1for every e∈E.
  • Fractional cost: fracCost(c,x):=∑s∈Scs xs\mathrm{fracCost}(c, x) := \sum_{s \in S} c_s \, x_sfracCost(c,x):=∑s∈S​cs​xs​, a finite sum over all of SSS.
  • Indicator: 1C:S→R\mathbf{1}_C : S \to \mathbb{R}1C​:S→R, 1C(s)=1\mathbf{1}_C(s) = 11C​(s)=1 if s∈Cs \in Cs∈C and 1C(s)=0\mathbf{1}_C(s) = 01C​(s)=0 otherwise.

4. indicator_cost

Binders and hypotheses. Fix finite types E,SE, SE,S with decidable equality on each. Explicit arguments: a cost function c:S→Rc : S \to \mathbb{R}c:S→R and a finite subset C⊆SC \subseteq SC⊆S. There are no hypotheses at all: no coverability, no nonnegativity of ccc, no assumption that CCC is a cover, and indeed no family of sets AAA appears in the statement — the type EEE, its finiteness and its decidable equality enter only as unused binders/instances, while the finiteness of SSS is what makes the left-hand sum over all of SSS meaningful.

Conclusion. The two real numbers

∑s∈Scs⋅1C(s)and∑s∈Ccs\sum_{s \in S} c_s \cdot \mathbf{1}_C(s) \qquad \text{and} \qquad \sum_{s \in C} c_ss∈S∑​cs​⋅1C​(s)ands∈C∑​cs​

are equal. On the left, the sum ranges over every index of SSS, each term weighted by the indicator of CCC: indices s∉Cs \notin Cs∈/C contribute cs⋅0=0c_s \cdot 0 = 0cs​⋅0=0 and indices s∈Cs \in Cs∈C contribute cs⋅1=csc_s \cdot 1 = c_scs​⋅1=cs​. On the right, the sum ranges only over the members of CCC. The claim is thus that restricting the index range to CCC and multiplying by the indicator over the full index range give the same real value.

Nonnegativity. No sign condition on ccc is assumed or needed for the statement to be well formed: both sides are finite sums of real numbers, always defined, so this is an exact equality of reals with ccc entirely arbitrary — individual costs may be negative, zero, or positive, and either side may be negative. No cancellation, absolute value, or ordering is involved.

Degenerate cases silently included.

  • C=∅C = \varnothingC=∅: the right-hand side is the empty sum 000, and every term on the left is cs⋅0=0c_s \cdot 0 = 0cs​⋅0=0, so the asserted equality reads 0=00 = 00=0.
  • C=SC = SC=S: the left-hand side has all weights 111 and the equality reads ∑s∈Scs=∑s∈Scs\sum_{s \in S} c_s = \sum_{s \in S} c_s∑s∈S​cs​=∑s∈S​cs​.
  • SSS empty: both sides are empty sums, 0=00 = 00=0.
  • EEE empty, or EEE arbitrary: irrelevant to the claim, since EEE occurs only in the binders.
  • c≡0c \equiv 0c≡0: both sides are 000.
  • ccc with negative values: permitted here, unlike in statements 1 and 2, since no nonnegativity hypothesis is carried.
  • CCC need not be a cover of anything, and no set family is even in scope.

What is NOT asserted. Nothing about covers, fractional covers, feasibility, or optimality; in particular this is not a claim that 1C\mathbf{1}_C1C​ is a fractional cover (that is statement 3), and not a claim about optimal values. No inequality is asserted in either direction beyond the stated equality, no claim is made about sums over index sets other than SSS and CCC, and nothing is said about functions x:S→Rx : S \to \mathbb{R}x:S→R other than 1C\mathbf{1}_C1C​ — in particular no analogous identity for general xxx supported on CCC.

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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