State Complexity of Neighbourhoods and Approximate Pattern Matching

Author:

Ng Timothy1,Rappaport David1,Salomaa Kai1

Affiliation:

1. School of Computing, Queen’s University, Kingston, Ontario K7L 3N6, Canada

Abstract

The neighbourhood of a language [Formula: see text] with respect to an additive distance consists of all strings that have distance at most the given radius from some string of [Formula: see text]. We show that the worst case deterministic state complexity of a radius [Formula: see text] neighbourhood of a language recognized by an [Formula: see text] state nondeterministic finite automaton [Formula: see text] is [Formula: see text]. In the case where [Formula: see text] is deterministic we get the same lower bound for the state complexity of the neighbourhood if we use an additive quasi-distance. The lower bound constructions use an alphabet of size linear in [Formula: see text]. We show that the worst case state complexity of the set of strings that contain a substring within distance [Formula: see text] from a string recognized by [Formula: see text] is [Formula: see text].

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous)

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