Safe Recursion on Notation into a Light Logic by Levels
Luca Roversi (Universit\`a di Torino), Luca Vercelli (Universit\`a di, Torino)

TL;DR
This paper embeds Safe Recursion on Notation into Light Affine Logic by Levels, enabling polynomial-size proof net representations that simulate SRN terms with bounded argument sizes, bridging recursive and proof theoretic principles.
Contribution
It introduces a novel embedding of SRN into LALL using recursive Scott numerals and fuzzy paragraph boxes, linking recursive complexity with light linear logic.
Findings
Proof nets simulate SRN terms with size polynomial in argument bound l
Embedding captures the structural complexity of SRN in proof net size
Bridges the gap between recursive principles and stratified proof theoretic systems
Abstract
We embed Safe Recursion on Notation (SRN) into Light Affine Logic by Levels (LALL), derived from the logic L4. LALL is an intuitionistic deductive system, with a polynomial time cut elimination strategy. The embedding allows to represent every term t of SRN as a family of proof nets |t|^l in LALL. Every proof net |t|^l in the family simulates t on arguments whose bit length is bounded by the integer l. The embedding is based on two crucial features. One is the recursive type in LALL that encodes Scott binary numerals, i.e. Scott words, as proof nets. Scott words represent the arguments of t in place of the more standard Church binary numerals. Also, the embedding exploits the "fuzzy" borders of paragraph boxes that LALL inherits from L4 to "freely" duplicate the arguments, especially the safe ones, of t. Finally, the type of |t|^l depends on the number of composition and recursion…
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 · Advanced Algebra and Logic · Formal Methods in Verification
