Polynomially Bounded Matrix Interpretations

Author Johannes Waldmann

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Johannes Waldmann

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Johannes Waldmann. Polynomially Bounded Matrix Interpretations. In Proceedings of the 21st International Conference on Rewriting Techniques and Applications. Leibniz International Proceedings in Informatics (LIPIcs), Volume 6, pp. 357-372, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)


Matrix interpretations can be used to bound the derivational complexity of rewrite systems. We present a criterion that completely characterizes matrix interpretations that are polynomially bounded. It includes the method of upper triangular interpretations as a special case, and we prove that the inclusion is strict. The criterion can be expressed as a finite domain constraint system. It translates to a Boolean constraint system with a size that is polynomial in the dimension of the interpretation. We report on performance of an implementation.
  • Derivational complexity of rewriting
  • matrix interpretation
  • weighted automata
  • ambiguity of automata
  • finite domain constraints


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