Strongly Minimal Relics of T-convex Fields
Benjamin Castle, Assaf Hasson

TL;DR
This paper investigates strongly minimal relics in T-convex fields, establishing their dimensionality, exploring the trichotomy reduction, and introducing differentiable Hausdorff geometric fields for a unified framework.
Contribution
It extends the analysis of strongly minimal relics to T-convex fields, proves trichotomy implications, and introduces differentiable Hausdorff geometric fields for broader applicability.
Findings
Non-locally modular strongly minimal relics are two-dimensional.
Trichotomy for definable relics implies trichotomy for interpretable relics.
One-dimensional relics in differentiable Hausdorff geometric fields follow a specific trichotomy.
Abstract
Generalizing previous work on algebraically closed valued fields (ACVF) and o-minimal fields, we study strongly minimal relics of real closed valued fields (RCVF), and more generally T-convex expansions of o-minimal fields. Our main result (replicating the o-minimal setting) is that non-locally modular strongly minimal definable relics of T-convex fields must be two-dimensional. We also continue our work on reducing the trichotomy for general relics of a structure to just the relics of certain distinguished sorts. To this end, we prove that the trichotomy for definable RCVF-relics implies the trichotomy for interpretable RCVF-relics, and also that the trichotomy for relics of o-minimal fields implies the trichotomy for relics of any dense o-minimal structure. Finally, we introduce the class of differentiable Hausdorff geometric fields (containing o-minimal fields and various valued…
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 Topology and Set Theory · Rings, Modules, and Algebras · Advanced Optimization Algorithms Research
