The Complexity of Generalized HyperLTL with Stuttering and Contexts

We settle the complexity of satisfiability and model-checking for generalized HyperLTL with stuttering and contexts, an expressive logic for the specification of asynchronous hyperproperties.Such properties cannot be specified in HyperLTL, as it is restricted to synchronous hyperproperties.Nevertheless, we prove that satisfiability is 1 1 -complete and thus not harder than for HyperLTL.On the other hand, we prove that model-checking is equivalent to truth in second-order arithmetic, and thus much harder than the decidable HyperLTL model-checking problem.The lower bounds for the model-checking problem hold even when only allowing stuttering or only allowing contexts.

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Publication Details

Journal
Electronic Proceedings in Theoretical Computer Science
Published
2025-09-16
DOI
https://doi.org/10.4204/eptcs.428.12
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

The Complexity of Generalized HyperLTL with Stuttering and Contexts

Gaëtan Regaud, Martin Zimmermann
Electronic Proceedings in Theoretical Computer Science
Natural Language Processing Techniques
article

The Complexity of Generalized HyperLTL with Stuttering and Contexts

Gaëtan Regaud, Martin Zimmermann
article en

Abstract

We settle the complexity of satisfiability and model-checking for generalized HyperLTL with stuttering and contexts, an expressive logic for the specification of asynchronous hyperproperties.Such properties cannot be specified in HyperLTL, as it is restricted to synchronous hyperproperties.Nevertheless, we prove that satisfiability is 1 1 -complete and thus not harder than for HyperLTL.On the other hand, we prove that model-checking is equivalent to truth in second-order arithmetic, and thus much harder than the decidable HyperLTL model-checking problem.The lower bounds for the model-checking problem hold even when only allowing stuttering or only allowing contexts.

Electronic Proceedings in Theoretical Computer ScienceVol. 428
École Normale Supérieure de Rennes (FR), Aalborg University (DK)
European Commission
Openalex Percentile: Top 87%
Natural Language Processing Techniques
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The Complexity of Generalized HyperLTL with Stuttering and Contexts — Gaëtan Regaud, Martin Zimmermann · Electronic Proceedings in Theoretical Computer Science (2025) | TGRS Research Map | TGRS