3 research outputs found
Invariance: a Theoretical Approach for Coding Sets of Words Modulo Literal (Anti)Morphisms
Let be a finite or countable alphabet and let be literal
(anti)morphism onto (by definition, such a correspondence is determinated
by a permutation of the alphabet). This paper deals with sets which are
invariant under (-invariant for short).We establish an
extension of the famous defect theorem. Moreover, we prove that for the
so-called thin -invariant codes, maximality and completeness are two
equivalent notions. We prove that a similar property holds in the framework of
some special families of -invariant codes such as prefix (bifix) codes,
codes with a finite deciphering delay, uniformly synchronized codes and
circular codes. For a special class of involutive antimorphisms, we prove that
any regular -invariant code may be embedded into a complete one.Comment: To appear in Acts of WORDS 201
Embedding a -invariant code into a complete one
Let A be a finite or countable alphabet and let be a literal
(anti-)automorphism onto A * (by definition, such a correspondence is
determinated by a permutation of the alphabet). This paper deals with sets
which are invariant under (-invariant for short) that is,
languages L such that (L) is a subset of L.We establish an extension
of the famous defect theorem. With regards to the so-called notion of
completeness, we provide a series of examples of finite complete
-invariant codes. Moreover, we establish a formula which allows to
embed any non-complete -invariant code into a complete one. As a
consequence, in the family of the so-called thin --invariant codes,
maximality and completeness are two equivalent notions.Comment: arXiv admin note: text overlap with arXiv:1705.0556
DNA codes and their properties
One of the main research topics in DNA computing is associated with the design of information encoding single or double stranded DNA strands that are “suitable ” for computation. Double stranded or partially double stranded DNA occurs as a result of binding between complementary DNA single strands (A is complementary to T and C is complementary to G). This paper continues the study of the algebraic properties of DNA word sets that ensure that certain undesirable bonds do not occur. We formalize and investigate such properties of sets of sequences, e.g., where no complement of a sequence is a prefix or suffix of another sequence or no complement of a concatenation of n sequences is a subword of the concatenation of n + 1 sequences. The sets of code words that satisfy the above properties are called θ-prefix, θ-suffix and θ-intercode respectively, where θ is the formalization of the Watson-Crick complementarity. Lastly we develop certain methods of constructing such sets of DNA words with good properties and compute their informational entropy