Characterizing Sets of Theories That Can Be Disjointly Combined

We study properties that allow first-order theories to be disjointly combined, including stable infiniteness, shininess, strong politeness, and gentleness. Specifically, we describe a Galois connection between sets of decidable theories, which picks out the largest set of decidable theories that can be combined with a given set of decidable theories. Using this, we exactly characterize the sets of decidable theories that can be combined with those satisfying well-known theory combination properties. This strengthens previous results and answers in the negative several long-standing open questions about the possibility of improving existing theory combination methods to apply to larger sets of theories. Additionally, the Galois connection gives rise to a complete lattice of theory combination properties, which allows one to generate new theory combination methods by taking meets and joins of elements of this lattice. We provide examples of this process, introducing new combination theorems. We situate both new and old combination methods within this lattice.

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Publication Details

Journal
Proceedings of the ACM on Programming Languages
Published
2026-01-08
DOI
https://doi.org/10.1145/3776652
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
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article

Characterizing Sets of Theories That Can Be Disjointly Combined

Yoni Zohar, Guilherme Toledo, Benjamin Przybocki
Proceedings of the ACM on Programming Languages
Logic, Reasoning, and Knowledge
article

Characterizing Sets of Theories That Can Be Disjointly Combined

Yoni Zohar, Guilherme Toledo, Benjamin Przybocki
article en

Abstract

We study properties that allow first-order theories to be disjointly combined, including stable infiniteness, shininess, strong politeness, and gentleness. Specifically, we describe a Galois connection between sets of decidable theories, which picks out the largest set of decidable theories that can be combined with a given set of decidable theories. Using this, we exactly characterize the sets of decidable theories that can be combined with those satisfying well-known theory combination properties. This strengthens previous results and answers in the negative several long-standing open questions about the possibility of improving existing theory combination methods to apply to larger sets of theories. Additionally, the Galois connection gives rise to a complete lattice of theory combination properties, which allows one to generate new theory combination methods by taking meets and joins of elements of this lattice. We provide examples of this process, introducing new combination theorems. We situate both new and old combination methods within this lattice.

Proceedings of the ACM on Programming LanguagesVol. 10(POPL)
Bar-Ilan University (IL), Carnegie Mellon University (US)
Openalex Percentile: Top 93%
Logic, Reasoning, and Knowledge
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