arXiv Open Access 2024

Subsequence Matching and Analysis Problems for Formal Languages

Szilárd Zsolt Fazekas Tore Koß Florin Manea Robert Mercaş Timo Specht
Lihat Sumber

Abstrak

In this paper, we study a series of algorithmic problems related to the subsequences occurring in the strings of a given language, under the assumption that this language is succinctly represented by a grammar generating it, or an automaton accepting it. In particular, we focus on the following problems: Given a string $w$ and a language $L$, does there exist a word of $L$ which has $w$ as subsequence? Do all words of $L$ have $w$ as a subsequence? Given an integer $k$ alongside $L$, does there exist a word of $L$ which has all strings of length $k$, over the alphabet of $L$, as subsequences? Do all words of $L$ have all strings of length $k$ as subsequences? For the last two problems, efficient algorithms were already presented in [Adamson et al., ISAAC 2023] for the case when $L$ is a regular language, and efficient solutions can be easily obtained for the first two problems. We extend that work as follows: we give sufficient conditions on the class of input-languages, under which these problems are decidable; we provide efficient algorithms for all these problems in the case when the input language is context-free; we show that all problems are undecidable for context-sensitive languages. Finally, we provide a series of initial results related to a class of languages that strictly includes the regular languages and is strictly included in the class of context-sensitive languages, but is incomparable to the of class context-free languages; these results deviate significantly from those reported for language-classes from the Chomsky hierarchy.

Topik & Kata Kunci

Penulis (5)

S

Szilárd Zsolt Fazekas

T

Tore Koß

F

Florin Manea

R

Robert Mercaş

T

Timo Specht

Format Sitasi

Fazekas, S.Z., Koß, T., Manea, F., Mercaş, R., Specht, T. (2024). Subsequence Matching and Analysis Problems for Formal Languages. https://arxiv.org/abs/2410.07992

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2024
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en
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arXiv
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