The classification problem for graphs and lattices is wild
Ruvim Lipyanski, Natalia Vanetik

TL;DR
This paper demonstrates that classifying graphs and certain algebraic lattices up to isomorphism is as complex as classifying pairs of matrices up to simultaneous similarity, indicating a highly intricate problem.
Contribution
It establishes the wildness of the classification problem for graphs and specific algebraic lattices by linking it to the known complex problem of classifying matrix pairs.
Findings
Classification problem for graphs is wild.
Classification problem for algebraic lattices is wild.
Links to matrix pair classification complexity.
Abstract
We prove that the classification problem for graphs and several types of algebraic lattices (distributive, congruence and modular) up to isomorphism contains the classification problem for pairs of matrices up to simultaneous similarity.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Algebra and Logic · Graph theory and applications · semigroups and automata theory
