Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 60 tok/s
Gemini 2.5 Pro 51 tok/s Pro
GPT-5 Medium 18 tok/s Pro
GPT-5 High 14 tok/s Pro
GPT-4o 77 tok/s Pro
Kimi K2 159 tok/s Pro
GPT OSS 120B 456 tok/s Pro
Claude Sonnet 4 38 tok/s Pro
2000 character limit reached

Finitely Bounded Homogeneity Turned Inside-Out (2108.00452v10)

Published 1 Aug 2021 in cs.LO and math.LO

Abstract: The classification problem for countable finitely bounded homogeneous structures is notoriously difficult, with only a handful of published partial classification results, e.g., for directed graphs. We introduce the Inside-Out correspondence, which links the classification problem, viewed as a computational decision problem, to the problem of testing the embeddability between reducts of countable finitely bounded homogeneous structures. On the one hand, the correspondence enables polynomial-time reductions from various decision problems that can be represented within the embeddability problem, e.g., the double-exponential square tiling problem. This leads to a new lower bound for the complexity of the classification problem: $\mathsf{2NEXPTIME}$-hardness. On the other hand, it also follows from the Inside-Out correspondence that the classification (decision) problem is effectively reducible to the (search) problem of finding a finitely bounded Ramsey expansion of a countable finitely bounded homogeneous structure. We subsequently prove that the closely related problem of homogenizability is already undecidable.

Summary

We haven't generated a summary for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)