Article ID Journal Published Year Pages File Type
435481 Theoretical Computer Science 2016 12 Pages PDF
Abstract

•Succinctness of descriptional systems for picture languages is studied.•Basic models of two-dimensional automata and grammars are considered.•It is shown that non-recursive trade-offs are a common phenomenon.•The results are based on the ability of the models to simulate Turing machines.

We study succinctness of descriptional systems for picture languages. Basic models of two-dimensional finite automata and generalizations of context-free grammars are considered. They include the four-way automaton of Blum and Hewitt, the two-dimensional online tessellation automaton of Inoue and Nakamura and the context-free Kolam grammar of Siromoney et al. We show that non-recursive trade-offs between the systems are very common. Basically, each separation result proving that one system describes a picture language which cannot be described by another system can usually be turned into a non-recursive trade-off result between the systems. These findings are strongly based on the ability of the systems to simulate Turing machines.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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