Derivation languages, descriptional complexity measures and decision problems of a class of flat splicing systems
Prithwineel Paul, Kumar Sankar Ray

TL;DR
This paper explores the derivation languages of flat splicing systems, compares them with classical language families, and investigates their decision problems and generative capacities, revealing new insights into their computational properties.
Contribution
It introduces the concepts of Szilard and control languages for flat splicing systems, analyzes their relationships with Chomsky hierarchy, and establishes their generative and decision properties.
Findings
Szilard languages of flat splicing systems are incomparable with regular, context-free, and recursively enumerable languages.
Decidability results for subset relations involving Szilard languages and regular languages.
Homomorphic images of Szilard languages can generate various language classes, including regular, context-free, and recursively enumerable languages.
Abstract
In this paper, we associate the idea of derivation languages with flat splicing systems and compare the families of derivation languages (Szilard and control languages) of these systems with the family of languages in Chomsky hierarchy. We show that the family of Szilard languages of labeled flat finite splicing systems of type (i.e., ) and , and are incomparable. Also, it is decidable whether or not and for any regular language and labeled flat finite splicing system . Also, any non-empty regular, non-empty context-free and recursively enumerable language can be obtained as homomorphic image of Szilard language of the labeled flat finite splicing systems of type and respectively. We also introduce the idea of…
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Taxonomy
TopicsDNA and Biological Computing · semigroups and automata theory · Advanced biosensing and bioanalysis techniques
