Space-Efficient Deterministic Simulation of Probabilistic Automata

Ioan I. Macarie
<span title="">1998</span> <i title="Society for Industrial &amp; Applied Mathematics (SIAM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7dys7zoberdktmxyjciuy5bnse" style="color: black;">SIAM journal on computing (Print)</a> </i> &nbsp;
Given a description of a probabilistic automaton (one-head probabilistic nite automaton or probabilistic Turing machine) and an input string x of length n, we ask how much space does a deterministic Turing machine need in order to decide the acceptance of the input string by that automaton? The question is interesting even in the case of one-head one-way probabilistic nite automata (PFA). We call (rational) stochastic languages (S > rat ) the class of languages recognized by PFA's whose
more &raquo; ... on probabilities and cutpoints (i.e. recognition thresholds) are rational numbers. The class S > rat contains context-sensitive languages that are not context free, but on the other hand there are context-free languages not included in S > rat . Our main results are as follows:
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