A Structural Classification of Resilience for aRc | ba

We study the resilience of Boolean regular path queries of the form aRc | ba, where a, b, c are distinct and R is a fixed regular language over an alphabet B containing b but excluding a and c. Writing D = B ∖ {b}, we establish a complexity classification: set resilience is polynomial-time computable when R is local and either R ⊆ D∗ or R ⊆ D∗b; in all other cases, the decision problem is NP-complete. In particular, we prove NP-completeness under set semantics for ab∗c | ba, a previously unclassified example. For the tractable cases, minimum-cut constructions account for each shared database fact exactly once and support nonnegative rational deletion costs. Three base reductions and path-replacement arguments establish the hardness cases. We also give a polynomial-time classification procedure for explicitly represented DFAs and show that the same complexity boundary holds for bag resilience with binary-encoded multiplicities. A companion software artifact provides separate Lean 4.35 formalizations of the main classification theorem and six exact-value reduction identities.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.23994119
Primary Topic
Advanced Graph Theory Research
Type
preprint
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preprint

A Structural Classification of Resilience for aRc | ba

Jingchuan Ma, Yanhua Liu, Yuqing Shao
1 links
Zenodo (CERN European Organization for Nuclear Research)
Advanced Graph Theory Research
preprint

A Structural Classification of Resilience for aRc | ba

Jingchuan Ma, Yanhua Liu, Yuqing Shao
preprint en

Abstract

We study the resilience of Boolean regular path queries of the form aRc | ba, where a, b, c are distinct and R is a fixed regular language over an alphabet B containing b but excluding a and c. Writing D = B ∖ {b}, we establish a complexity classification: set resilience is polynomial-time computable when R is local and either R ⊆ D∗ or R ⊆ D∗b; in all other cases, the decision problem is NP-complete. In particular, we prove NP-completeness under set semantics for ab∗c | ba, a previously unclassified example. For the tractable cases, minimum-cut constructions account for each shared database fact exactly once and support nonnegative rational deletion costs. Three base reductions and path-replacement arguments establish the hardness cases. We also give a polynomial-time classification procedure for explicitly represented DFAs and show that the same complexity boundary holds for bag resilience with binary-encoded multiplicities. A companion software artifact provides separate Lean 4.35 formalizations of the main classification theorem and six exact-value reduction identities.

Zenodo (CERN European Organization for Nuclear Research)
Fuzhou University Zhicheng College (CN)
Advanced Graph Theory Research
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