Annotation-Free Sequent Calculi for Full Intuitionistic Linear Logic -- Extended Version
Ranald Clouston, Jeremy Dawson, Rajeev Gore, Alwen Tiu

TL;DR
This paper introduces a simple, annotation-free display calculus for full intuitionistic linear logic (FILL) and its extension BiILL, providing cut-elimination, deep inference, and proof search properties, advancing proof theory for linear logic.
Contribution
It presents the first annotation-free display calculus for FILL and BiILL, with cut-elimination, deep inference, and conservativity over FILL, simplifying proof-theoretic analysis.
Findings
The calculus satisfies Belnap's cut-elimination theorem.
Proofs of FILL formulas contain no exclusion trace.
The calculus is NP-complete, with subformula property and terminating proof search.
Abstract
Full Intuitionistic Linear Logic (FILL) is multiplicative intuitionistic linear logic extended with par. Its proof theory has been notoriously difficult to get right, and existing sequent calculi all involve inference rules with complex annotations to guarantee soundness and cut-elimination. We give a simple and annotation-free display calculus for FILL which satisfies Belnap's generic cut-elimination theorem. To do so, our display calculus actually handles an extension of FILL, called Bi-Intuitionistic Linear Logic (BiILL), with an `exclusion' connective defined via an adjunction with par. We refine our display calculus for BiILL into a cut-free nested sequent calculus with deep inference in which the explicit structural rules of the display calculus become admissible. A separation property guarantees that proofs of FILL formulae in the deep inference calculus contain no trace of…
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
TopicsLogic, programming, and type systems · Formal Methods in Verification · Logic, Reasoning, and Knowledge
