Communication complexity method for measuring nondeterminism in finite automata

  • Authors:
  • Juraj Karhuäki;Sebastian Seibert;Juhani Karhumaki;Hartmut Klauck;Georg Schnitger

  • Affiliations:
  • RWTH Aachen, Aachen, Germany;RWTH Aachen, Aachen, Germany;Univ. of Turku, Finland;Johann-Wolfgang-Goethe-Univ., Main, Germany;Johann-Wolfgang-Goethe-Univ., Main, Germany

  • Venue:
  • Information and Computation
  • Year:
  • 2002

Quantified Score

Hi-index 0.01

Visualization

Abstract

While deterministic finite automata seem to be well understood,surprisingly many important problems concerning nondeterministicfinite automata (nfa's) remain open. One such problem area is thestudy of different measures of nondeterminism in finite automataand the estimation of the sizes of minimal nondeterministic finiteautomata. In this paper the concept of communication complexity isapplied in order to achieve progress in this problem area. The mainresults are as follows:(1) Deterministic communication complexityprovides lower bounds on the size of nfa's with boundedunambiguity. Applying this fact, the proofs of several resultsabout nfa's with limited ambiguity can be simplified and presentedin a uniform way. (2) There is a family of languagesKONk2 with an exponential size gapbetween nfa's with polynomial leaf number/ambiguity and nfa's withambiguity k. This partially provides an answer to the openproblem posed by B. Ravikumar and O. Ibarra (1989, SIAM J. Comput.18, 1263-1282) and H. Leung (1998, SIAM J. Comput. 27, 1073-1082).