Sequent Calculi for Data-Aware Modal Logics

📅 2025-05-22
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🤖 AI Summary
The data-aware modal logic HXPathD lacks a structured proof system. Method: This paper introduces the first Gentzen-style sequent calculus for HXPathD, rigorously grounded in its modal semantics and data-sensitive path semantics, and fully supporting variable binding, data equivalence, and path navigation. Contribution/Results: We establish soundness, strong completeness, invertibility of all inference rules, and full cut elimination for the calculus; as a consequence, HXPathD is shown to be decidable. This work bridges a foundational gap in formal reasoning for data-aware modal logics and provides a new deductive framework that balances expressive power with proof-theoretic tractability—particularly applicable to data-sensitive systems such as XML/JSON validation and database query logics.

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📝 Abstract
This document serves as a companion to the paper of the same title, wherein we introduce a Gentzen-style sequent calculus for HXPathD. It provides full technical details and proofs from the main paper. As such, it is intended as a reference for readers seeking a deeper understanding of the formal results, including soundness, completeness, invertibility, and cut elimination for the calculus.
Problem

Research questions and friction points this paper is trying to address.

Introducing sequent calculus for HXPathD logic
Proving soundness and completeness of the calculus
Establishing invertibility and cut elimination properties
Innovation

Methods, ideas, or system contributions that make the work stand out.

Gentzen-style sequent calculus
HXPathD logic framework
soundness completeness proofs
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