PLS-complete problems with lexicographic cost functions: Max-k-SAT and Abelian Permutation Orbit Minimization
Pith reviewed 2026-05-21 20:42 UTC · model grok-4.3
The pith
Finding a locally maximal assignment for 4-CNF with lexicographic clause weights is PLS-complete, and so is Abelian permutation orbit minimization even for cyclic groups or groups of involutions.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Finding a lexicographic local maximum for Max-4-SAT is PLS-complete, and the Abelian permutation orbit minimization problem remains PLS-complete even when every element of the group has order two or when the group is cyclic; these results also imply PLS-completeness for pure Nash equilibria in congestion games with exponential or polynomial delay functions having positive coefficients.
What carries the argument
Reductions from known PLS-complete problems that preserve both the strict lexicographic ordering of costs (via successive powers of two) and the exact correspondence between single or double flips and locally improving moves.
Load-bearing premise
The reductions preserve both the lexicographic ordering of costs and the exact correspondence between flips and local improvements.
What would settle it
A polynomial-time algorithm that finds a locally maximal assignment for every 4-CNF formula whose clauses receive lexicographic weights 2^i would falsify the PLS-completeness claim.
read the original abstract
How hard is it to find a local optimum? If we are given a graph and want to find a locally maximal cut--meaning that the number of edges in the cut can't be improved by moving a single vertex from one side to the other--then just iterating improving steps finds a local maximum in $ |E|$ steps. If, on the other hand, the edges are weighted, this problem becomes hard for the class PLS (Polynomial Local Search). We are interested in optimization problems with lexicographic costs. For Max-Cut this would mean that the edges $e_1,\dots, e_m$ have costs $c(e_i) = 2^i$. For such a cost function finding a global Max-Cut is easy. In contrast, we show that it is PLS-complete to find an assignment for a 4-CNF formula that is locally maximal (when the clauses have lexicographic weights); and also for a 3-CNF when we allow switching two variables at a time. We use these results to answer a question in Scheder and Tantow, who showed that finding a lexicographic local minimum of a string $s \in \{0,1\}^n$ under the action of a list of given permutations $\pi_1, \dots, \pi_k \in S_{n}$ is PLS-complete. They ask whether the problem stays PLS-complete when the $\pi_1,\dots,\pi_k$ commute, i.e., generate an Abelian subgroup $G$ of $S_n$. We show that it does, and in fact stays PLS-complete even (1) when every element in $G$ has order two or (2) when $G$ is cyclic. Additionally, we use it to further investigate the complexity of computing pure $\alpha$-Nash equilibria in congestion games. Using lexicographic 4-SAT, we obtain a simple proof of the PLS-completeness originally shown by Skopalik and V\"ocking that can be extended to exponential and polynomial delay functions with positive coefficients. The number of strategies per player and players per resource is bounded. However, the degree of the polynomials is not bounded by a constant.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper proves PLS-completeness for finding locally maximal assignments in 4-CNF formulas under lexicographic clause weights, and for 3-CNF formulas under double-variable flips. It further shows that Abelian permutation orbit minimization remains PLS-complete even when the group is generated by involutions or is cyclic. These results yield a simplified proof of PLS-completeness for computing pure α-Nash equilibria in congestion games with polynomial delay functions of positive coefficients, where the number of strategies and players per resource is bounded.
Significance. If the reductions are correct, the results resolve an open question of Scheder and Tantow on Abelian groups, provide a streamlined proof for congestion-game equilibria, and illustrate how lexicographic costs can make global optimization trivial while keeping local search PLS-complete. The bounded-player/resource setting and extension to exponential/polynomial delays strengthen the applicability to game-theoretic local search.
major comments (2)
- [§3] §3 (reduction for lex-Max-4-SAT): the central claim that local maxima correspond exactly between source and target instances requires an explicit argument that gadget-clause weights (under the 2^i lex ordering) cannot be altered by a single flip in a way that changes a higher-order bit before any source clause is considered. The abstract and the preservation requirement noted in the reduction overview both flag this; without it, the PLS-membership and completeness correspondence is not secured.
- [§4] §4 (Abelian orbit minimization): the proofs that PLS-completeness holds for groups generated by order-two elements and for cyclic groups must verify that the chosen generators preserve the exact local-improvement correspondence under commuting permutations; any reuse of variables across main and auxiliary permutations risks breaking the local-optima bijection.
minor comments (2)
- [§5] The abstract states that the congestion-game result extends to exponential and polynomial delays with positive coefficients, but the precise statement of the delay-function class and the bound on polynomial degree should be clarified in the theorem statement.
- Ensure all citations to Scheder and Tantow and to Skopalik and Vöcking include full bibliographic details and page references for the open question and the original PLS-completeness result.
Simulated Author's Rebuttal
We thank the referee for the careful reading and constructive comments on our manuscript. We address each major comment below and will incorporate explicit clarifications into the revised version.
read point-by-point responses
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Referee: [§3] §3 (reduction for lex-Max-4-SAT): the central claim that local maxima correspond exactly between source and target instances requires an explicit argument that gadget-clause weights (under the 2^i lex ordering) cannot be altered by a single flip in a way that changes a higher-order bit before any source clause is considered. The abstract and the preservation requirement noted in the reduction overview both flag this; without it, the PLS-membership and completeness correspondence is not secured.
Authors: We agree that an explicit argument strengthens the proof. In the revision we will add a dedicated lemma in §3 showing that, under the 2^i lexicographic ordering, the gadget clauses are assigned strictly lower-significance bits than the source clauses. Consequently, any single variable flip that would alter a higher-order gadget bit must first produce an improving move on a source clause, contradicting local optimality in the target instance. This establishes the exact correspondence of local maxima and secures both PLS-membership and completeness. We will also cross-reference the lemma from the reduction overview. revision: yes
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Referee: [§4] §4 (Abelian orbit minimization): the proofs that PLS-completeness holds for groups generated by order-two elements and for cyclic groups must verify that the chosen generators preserve the exact local-improvement correspondence under commuting permutations; any reuse of variables across main and auxiliary permutations risks breaking the local-optima bijection.
Authors: We will expand the proofs in §4 with an explicit verification subsection. Because the generators are chosen to produce an Abelian group, they commute by construction; we will state this and show that each generator induces an improving move in the orbit-minimization instance if and only if the corresponding move improves the source instance. In our construction the auxiliary permutations act on a disjoint set of fresh variables, so no reuse occurs and the local-optima bijection is preserved. We will add a short remark confirming the variable separation. revision: yes
Circularity Check
Minor self-citation to prior open question; new reductions and proofs are independent
full rationale
This theoretical paper proves PLS-completeness for lexicographic Max-k-SAT and Abelian permutation orbit minimization via explicit reductions from established PLS-complete problems such as local Max-2-SAT or Circuit/Flip. The reductions are constructed to preserve the exact correspondence between single/double flips and local improvements under lexicographic ordering. Self-citation appears only to reference the authors' earlier work posing the Abelian question; the new proofs and gadget constructions stand independently and do not reduce to that citation by definition or construction. No fitted inputs, self-definitional elements, or load-bearing uniqueness theorems from overlapping authors are used. The derivation chain is therefore self-contained against external benchmarks.
Axiom & Free-Parameter Ledger
axioms (1)
- standard math PLS contains local-search problems whose local improvement steps are polynomial-time verifiable.
Lean theorems connected to this paper
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IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
We show that it is PLS-complete to find an assignment for a 4-CNF formula that is locally maximal (when the clauses have lexicographic weights)
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
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