On the Generative Power of Omega-Grammars and Omega-Automata
Zhe Chen

TL;DR
This paper systematically studies the generative power of -grammars and -automata, providing uniform definitions, translation techniques, and comparing their expressive capabilities across various acceptance modes.
Contribution
It introduces a unified framework for -grammars and automata, analyzing their relative power and establishing translation methods for different acceptance modes.
Findings
-CFG is weaker than -PDA in generative power
-CSG equals -TM in expressive capability
Constructed -grammars without -productions
Abstract
An \omega-grammar is a formal grammar used to generate \omega-words (i.e. infinite length words), while an \omega-automaton is an automaton used to recognize \omega-words. This paper gives clean and uniform definitions for \omega-grammars and \omega-automata, provides a systematic study of the generative power of \omega-grammars with respect to \omega-automata, and presents a complete set of results for various types of \omega-grammars and acceptance modes. We use the tuple (\sigma,\rho,\pi) to denote various acceptance modes, where \sigma denotes that some designated elements should appear at least once or infinitely often, \rho denotes some binary relation between two sets, and \pi denotes normal or leftmost derivations. Technically, we propose (\sigma,\rho,\pi)-accepting \omega-grammars, and systematically study their relative generative power with respect to (\sigma,\rho)-accepting…
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