Turing Machines with One-sided Advice and Acceptance of the co-RE Languages

We resolve an old problem, namely to design a 'natural' machine model for accepting the complements of recursively enumerable languages. The model we present is based on nondeterministic Turing machines with 'one-sided' advice. We prove that these machines precisely accept the co-RE languages, without restriction on the advice functions that are used. We show that for accepting a co-RE language, one-sided advice is as powerful as arbitrary advice, but also that linearly bounded one-sided advice is sufficient. However, 'long' sublinear advice can make Turing machines with one-sided advice accept more co-RE languages than 'short' sublinear advice. We prove that infinite proper hierarchies of language classes inside co-RE can be devised, using suitable increasing sequences of bounding functions for the allowed advice. The machine model and the results dualize for the family of recursively enumerable languages.

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Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).