Joint spectral radius theory for automated complexity analysis of rewrite systems

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Abstract

Matrix interpretations can be used to bound the derivational complexity of term rewrite systems. In particular, triangular matrix interpretations over the natural numbers are known to induce polynomial upper bounds on the derivational complexity of (compatible) rewrite systems. Recently two different improvements were proposed, based on the theory of weighted automata and linear algebra. In this paper we strengthen and unify these improvements by using joint spectral radius theory. © 2011 Springer-Verlag.

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Middeldorp, A., Moser, G., Neurauter, F., Waldmann, J., & Zankl, H. (2011). Joint spectral radius theory for automated complexity analysis of rewrite systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6742 LNCS, pp. 1–20). https://doi.org/10.1007/978-3-642-21493-6_1

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