Abstract
We present a demonstration of Andreoli’s focusing theorem for proofs of linear logic (MALL) that avoids directly reasoning on sequent calculus proofs. Following Andreoli-Maieli’s strategy, exploited in the MLL case, we prove the focusing theorem as a particular sequentialization strategy for MALL proof nets that are in canonical form. Canonical proof nets satisfy the property that asynchronous links are always ready to sequentialization while synchronous focusing links represent clusters of links that are hereditarily ready to sequentialization.
Supported by Istituto Nazionale di Alta Matematica “Francesco Severi” (INdAM).
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Notes
- 1.
Compared with the syntax of [6], monomial proof structures [8] are technically simpler; they allow us to easily extend to the MALL case arguments originally used for the MLL case such as Laurent’s Splitting Lemma [7] and Andreoli-Maieli’s Focusing Theorem [2]. Monomial proof structures have a natural presentation in terms of Coherent Spaces [4] and their correctness criterion can be also formulated in terms of “graph retraction steps” à la Danos [9].
- 2.
The dependence condition corresponds to the resolution condition of [6].
- 3.
Observe that in general substitutions may not preserve the property of being a proof structure.
- 4.
The logical degree of a formula F, denoted \(\partial (F)\), is defined by induction on the height of F: if F is atomic then \(\partial (F)=0\), else F has the form \(F_1\circ F_2\), with , and \(\partial (F)=\partial (F_1)+\partial (F_2)+1\).
- 5.
Note that a \(J(\pi )\) differs from a switching \(S(\pi )\) for the following facts: (i) we do not consider slices, (ii) we do not mutilate premises and (iii) there can be multiple (possibly, none) jumps exiting from a -node and going to different nodes depending on p or \(C_p\) nodes.
References
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Maieli, R. (2022). A Proof of the Focusing Theorem via MALL Proof Nets. In: Ciabattoni, A., Pimentel, E., de Queiroz, R.J.G.B. (eds) Logic, Language, Information, and Computation. WoLLIC 2022. Lecture Notes in Computer Science, vol 13468. Springer, Cham. https://doi.org/10.1007/978-3-031-15298-6_1
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