Watson-Crick conjugates of words and languages

In this work, we explore the concept of Watson-Crick conjugates, also known as $θ$-conjugates (where $θ$ is an antimorphic involution), of words and languages. This concept extends the classical idea of conjugates by incorporating the Watson-Crick complementarity of DNA sequences. Our investigation initially focuses on the properties of $θ$-conjugates of words. We then define $θ$-conjugates of a language and study closure properties of certain families of languages under the $θ$-conjugate operation. Furthermore, we analyze the iterated $θ$-conjugate of both words and languages. Finally, we discuss the idea of $θ$-conjugate-free languages and examine some decidability problems related to it.

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Publication Details

Journal
Discrete Mathematics & Theoretical Computer Science
Published
2025-08-29
DOI
https://doi.org/10.46298/dmtcs.13593
Primary Topic
DNA and Biological Computing
Type
article
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article

Watson-Crick conjugates of words and languages

Anuran Maity, Kalpana Mahalingam
Discrete Mathematics & Theoretical Computer Science
DNA and Biological Computing
article

Watson-Crick conjugates of words and languages

Anuran Maity, Kalpana Mahalingam
article en

Abstract

In this work, we explore the concept of Watson-Crick conjugates, also known as $θ$-conjugates (where $θ$ is an antimorphic involution), of words and languages. This concept extends the classical idea of conjugates by incorporating the Watson-Crick complementarity of DNA sequences. Our investigation initially focuses on the properties of $θ$-conjugates of words. We then define $θ$-conjugates of a language and study closure properties of certain families of languages under the $θ$-conjugate operation. Furthermore, we analyze the iterated $θ$-conjugate of both words and languages. Finally, we discuss the idea of $θ$-conjugate-free languages and examine some decidability problems related to it.

Discrete Mathematics & Theoretical Computer ScienceVol. vol. 27:3(Combinatorics)
Openalex Percentile: Top 79%
DNA and Biological Computing
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