LOLOJun 2

Optimizing Proof-Search via Linearization for Gödel-Löb Logic with Tree-Hypersequents

arXiv:2606.0348428.5h-index: 8
AI Analysis

This resolves open problems in proof theory for modal logic GL, providing a complexity-optimal decision procedure for a PSPACE-complete logic.

The authors present a PSPACE proof-search algorithm for Gödel-Löb logic (GL) in tree-hypersequent systems, matching the known PSPACE-completeness of GL. They introduce a linearization method that avoids exponential blowup and show that every valid formula admits a proof using only line sequents.

We answer a question posed by Poggiolesi concerning a syntactic decidability proof for GL in the tree-hypersequent system CSGL, and resolve a challenge identified by Maggesi and Perini Brogi, who sought a PSPACE proof-search algorithm for GL in expressive sequent-based formalisms. We work with a notational variant of CSGL formulated in terms of (labeled) tree sequents. Our answer is complexity-optimal: we present a proof-search algorithm that decides the (in)validity of formulae and runs in PSPACE, matching the known PSPACE-completeness of GL. To achieve this, we introduce a "linearization method," which constructs only a single branch of a derivation and of a tree sequent at a time, avoiding the exponential blowup typical of naive proof-search in sequent formalisms. We show how to systematically combine fragments of tree sequents generated during proof-search to extract finite counter-models, which serves as a theoretical device for establishing the correctness of the algorithm when proof-search fails. Finally, we show that every valid formula admits a proof consisting solely of line sequents, which correspond to linear nested sequents. This establishes a connection between depth-first proof-search and linear nested sequent calculi. Our results not only answer the aforementioned questions, but also provide new insights into proof-search and correctness arguments in tree sequent systems for modal logics.

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