๐ฎ
๐ฎ
The Ethereal
The quasiequational theory of relational lattices, in the pure lattice signature (embeddability into relational lattices is undecidable)
July 11, 2016 ยท The Ethereal ยท + Add venue
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Luigi Santocanale
arXiv ID
1607.02988
Category
cs.LO: Logic in CS
Cross-listed
cs.DB,
math.CT,
math.LO
Citations
1
Last Checked
5 months ago
Abstract
The natural join and the inner union operations combine relations of a database. Tropashko and Spight realized that these two operations are themeet and join operations in a class of lattices, known by now as the relational lattices. They proposed then lattice theory as an algebraic approach to thetheory of databases alternative to the relational algebra. Litak et al. proposed an axiomatization of relational lattices over the signature that extends thepure lattice signature with a constant and argued that the quasiequational theory of relational lattices over this extended signature is undecidable.We prove in this paper that embeddability is undecidable for relational lattices. More precisely, it is undecidable whether a finite subdirectly-irreduciblelattice can be embedded into a relational lattice. Our proof is a reduction from the coverability problem of a multimodal frame by a universal product frameand, indirectly, from the representability problem for relation algebras. As corollaries we obtain the following results: the quasiequational theoryof relational lattices over the pure lattice signature is undecidable and has no finite base; there is a quasiequation over the pure lattice signature which holds in all the finite relational lattices but fails in an infinite relational lattice.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Logic in CS
๐ฎ
๐ฎ
The Ethereal
Safe Reinforcement Learning via Shielding
๐ฎ
๐ฎ
The Ethereal
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks
๐ฎ
๐ฎ
The Ethereal
Heterogeneous substitution systems revisited
๐ฎ
๐ฎ
The Ethereal
Omega-Regular Objectives in Model-Free Reinforcement Learning
๐ฎ
๐ฎ
The Ethereal