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A Semantic Proof of Generalised Cut Elimination for Deep Inference

Robert Atkey, Wen Kokke

TL;DR

The paper addresses generalised cut-elimination for the MAV deep-inference system by developing a semantic framework based on MAV-algebras and MAV-frames. It constructs algebras from frames via Day monoids and Chu construction to interpret MAV provability, proving soundness, completeness, and a semantic normalisation that yields a normal form for all MAV proofs. The results are mechanised in Agda, providing an executable normalisation procedure and paving the way for extensions to additive units and exponentials as well as connections to related logics and process semantics. This semantic approach offers a robust, modular alternative to syntactic termination arguments and supports extensions to broader substructural systems.

Abstract

Multiplicative-Additive System Virtual (MAV) is a logic that extends Multiplicative-Additive Linear Logic with a self-dual non-commutative operator expressing the concept of "before" or "sequencing". MAV is also an extenson of the the logic Basic System Virtual (BV) with additives. Formulas in BV have an appealing reading as processes with parallel and sequential composition. MAV adds internal and external choice operators. BV and MAV are also closely related to Concurrent Kleene Algebras. Proof systems for MAV and BV are Deep Inference systems, which allow inference rules to be applied anywhere inside a structure. As with any proof system, a key question is whether proofs in MAV can be reduced to a normal form, removing detours and the introduction of structures not present in the original goal. In Sequent Calcluli systems, this property is referred to as Cut Elimination. Deep Inference systems have an analogous Cut rule and other rules that are not present in normalised proofs. Cut Elimination for Deep Inference systems has the same metatheoretic benefits as for Sequent Calculi systems, including consistency and decidability. Proofs of Cut Elimination for BV, MAV, and other Deep Inference systems present in the literature have relied on intrincate syntactic reasoning and complex termination measures. We present a concise semantic proof that all MAV proofs can be reduced to a normal form avoiding the Cut rule and other "non analytic" rules. We also develop soundness and completeness proofs of MAV (and BV) with respect to a class of models. We have mechanised all our proofs in the Agda proof assistant, which provides both assurance of their correctness as well as yielding an executable normalisation procedure.- Our technique extends to include exponentials and the additive units.

A Semantic Proof of Generalised Cut Elimination for Deep Inference

TL;DR

The paper addresses generalised cut-elimination for the MAV deep-inference system by developing a semantic framework based on MAV-algebras and MAV-frames. It constructs algebras from frames via Day monoids and Chu construction to interpret MAV provability, proving soundness, completeness, and a semantic normalisation that yields a normal form for all MAV proofs. The results are mechanised in Agda, providing an executable normalisation procedure and paving the way for extensions to additive units and exponentials as well as connections to related logics and process semantics. This semantic approach offers a robust, modular alternative to syntactic termination arguments and supports extensions to broader substructural systems.

Abstract

Multiplicative-Additive System Virtual (MAV) is a logic that extends Multiplicative-Additive Linear Logic with a self-dual non-commutative operator expressing the concept of "before" or "sequencing". MAV is also an extenson of the the logic Basic System Virtual (BV) with additives. Formulas in BV have an appealing reading as processes with parallel and sequential composition. MAV adds internal and external choice operators. BV and MAV are also closely related to Concurrent Kleene Algebras. Proof systems for MAV and BV are Deep Inference systems, which allow inference rules to be applied anywhere inside a structure. As with any proof system, a key question is whether proofs in MAV can be reduced to a normal form, removing detours and the introduction of structures not present in the original goal. In Sequent Calcluli systems, this property is referred to as Cut Elimination. Deep Inference systems have an analogous Cut rule and other rules that are not present in normalised proofs. Cut Elimination for Deep Inference systems has the same metatheoretic benefits as for Sequent Calculi systems, including consistency and decidability. Proofs of Cut Elimination for BV, MAV, and other Deep Inference systems present in the literature have relied on intrincate syntactic reasoning and complex termination measures. We present a concise semantic proof that all MAV proofs can be reduced to a normal form avoiding the Cut rule and other "non analytic" rules. We also develop soundness and completeness proofs of MAV (and BV) with respect to a class of models. We have mechanised all our proofs in the Agda proof assistant, which provides both assurance of their correctness as well as yielding an executable normalisation procedure.- Our technique extends to include exponentials and the additive units.
Paper Structure (17 sections, 23 theorems, 11 equations)

This paper contains 17 sections, 23 theorems, 11 equations.

Key Result

proposition 1

[prop]prop:mav-algebra-consequences Let $(A, \leq, \otimes, \lhd, I, \lnot)$ be a MAV-algebra.

Theorems & Definitions (63)

  • remark 1
  • definition 1
  • definition 2
  • definition 3
  • definition 4
  • remark 2
  • definition 5
  • remark 3
  • definition 6
  • proposition 1
  • ...and 53 more