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On the Usefulness of Promises

Published: November 26, 2025 | arXiv ID: 2511.21450v1

By: Per Austrin, Johan Håstad, Björn Martinsson

Potential Business Impact:

Makes hard math problems easier to solve.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

A Boolean predicate $A$ is defined to be promise-useful if $\operatorname{PCSP}(A,B)$ is tractable for some non-trivial $B$ and otherwise it is promise-useless. We initiate investigations of this notion and derive sufficient conditions for both promise-usefulness and promise-uselessness (assuming $\text{P} \ne \text{NP}$). While we do not obtain a complete characterization, our conditions are sufficient to classify all predicates of arity at most $4$ and almost all predicates of arity $5$. We also derive asymptotic results to show that for large arities a vast majority of all predicates are promise-useless. Our results are primarily obtained by a thorough study of the "Promise-SAT" problem, in which we are given a $k$-SAT instance with the promise that there is a satisfying assignment for which the literal values of each clause satisfy some additional constraint. The algorithmic results are based on the basic LP + affine IP algorithm of Brakensiek et al. (SICOMP, 2020) while we use a number of novel criteria to establish NP-hardness.

Repos / Data Links

Page Count
63 pages

Category
Computer Science:
Computational Complexity