Valuations in G\"{o}del Logic, and the Euler Characteristic
Pietro Codara, Ottavio M. D'Antona, Vincenzo Marra

TL;DR
This paper introduces a lattice-theoretic Euler characteristic for G"{o}del logic formulas, showing it encodes classical information and helps distinguish tautologies from non-tautologies, with implications for understanding many-valued logic valuations.
Contribution
It defines a novel Euler characteristic for G"{o}del logic formulas and demonstrates its effectiveness in classifying tautologies and analyzing the structure of many-valued logic valuations.
Findings
Euler characteristic coincides with classical Boolean logic.
Many-valued Euler characteristics distinguish tautologies from non-tautologies.
Set of many-valued characteristics is linearly independent in valuation space.
Abstract
Using the lattice-theoretic version of the Euler characteristic introduced by V. Klee and G.-C. Rota in the Sixties, we define the Euler characteristic of a formula in G\"{o}del logic (over finitely or infinitely many truth-values). We then prove that the information encoded by the Euler characteristic is classical, i.e. coincides with the analogous notion defined over Boolean logic. Building on this, we define many-valued versions of the Euler characteristic of a formula , and prove that they indeed provide information about the logical status of in G\"{o}del logic. Specifically, our first main result shows that the many-valued Euler characteristics are invariants that separate many-valued tautologies from non-tautologies. Further, we offer an initial investigation of the linear structure of these generalised characteristics. Our second main result is that the…
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 · Logic, Reasoning, and Knowledge · Rough Sets and Fuzzy Logic
