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April 1, 20240 citationsOpen Access

Modelling Multiplicative Linear Logic via Deep Inference

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TGTomer GalorASAndrea Schalk

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Abstract

Multiplicative linear logic is a very well studied formal system, and most such studies are concerned with the one-sided sequent calculus. In this paper we look in detail at existing translations between a deep inference system and the standard sequent calculus one, provide a simplified translation, and provide a formal proof that a standard approach to modelling is indeed invariant to all these translations. En route we establish a necessary condition for provable sequents related to the number of pars and tensors in a formula that seems to be missing from the literature.

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Cite This Study

Galor et al. (2024) studied this question.

synapsesocial.com/papers/68e713d7b6db64358768ccdahttps://doi.org/10.48550/arxiv.2404.01026
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