State Complexity of Overlap Assembly

Author:

Brzozowski Janusz A.1,Kari Lila1,Li Bai1,Szykuła Marek2

Affiliation:

1. David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada N2L 3G1, Canada

2. Institute of Computer Science, University of Wrocław, Joliot-Curie 15, PL-50-383 Wrocław, Poland

Abstract

The state complexity of a regular language [Formula: see text] is the number [Formula: see text] of states in a minimal deterministic finite automaton (DFA) accepting [Formula: see text]. The state complexity of a regularity-preserving binary operation on regular languages is defined as the maximal state complexity of the result of the operation where the two operands range over all languages of state complexities [Formula: see text] and [Formula: see text], respectively. We determine, for [Formula: see text], [Formula: see text], the exact value of the state complexity of the binary operation overlap assembly on regular languages. This operation was introduced by Csuhaj-Varjú, Petre, and Vaszil to model the process of self-assembly of two linear DNA strands into a longer DNA strand, provided that their ends “overlap”. We prove that the state complexity of the overlap assembly of languages [Formula: see text] and [Formula: see text], where [Formula: see text] and [Formula: see text], is at most [Formula: see text]. Moreover, for [Formula: see text] and [Formula: see text] there exist languages [Formula: see text] and [Formula: see text] over an alphabet of size [Formula: see text] whose overlap assembly meets the upper bound and this bound cannot be met with smaller alphabets. Finally, we prove that [Formula: see text] is the state complexity of the overlap assembly in the case of unary languages and that there are binary languages whose overlap assembly has exponential state complexity at least [Formula: see text].

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous)

Reference33 articles.

1. IN SEARCH OF MOST COMPLEX REGULAR LANGUAGES

2. LNCS;Brzozowski J. A.,2018

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