Ambiguity Hierarchy of Regular Infinite Tree Languages
This resolves a foundational question in automata theory for infinite trees, establishing a complete ambiguity hierarchy, which is incremental but clarifies a long-standing open problem in the field.
The paper tackles the problem of classifying regular infinite tree languages by their degree of ambiguity, showing that there exists a strict hierarchy: for every k > 1, there are k-ambiguous languages not (k-1)-ambiguous, and languages with finite, countable, or uncountable ambiguity that are not bounded by lower levels.
An automaton is unambiguous if for every input it has at most one accepting computation. An automaton is k-ambiguous (for k > 0) if for every input it has at most k accepting computations. An automaton is boundedly ambiguous if it is k-ambiguous for some $k \in \mathbb{N}$. An automaton is finitely (respectively, countably) ambiguous if for every input it has at most finitely (respectively, countably) many accepting computations. The degree of ambiguity of a regular language is defined in a natural way. A language is k-ambiguous (respectively, boundedly, finitely, countably ambiguous) if it is accepted by a k-ambiguous (respectively, boundedly, finitely, countably ambiguous) automaton. Over finite words every regular language is accepted by a deterministic automaton. Over finite trees every regular language is accepted by an unambiguous automaton. Over $ω$-words every regular language is accepted by an unambiguous Büchi automaton and by a deterministic parity automaton. Over infinite trees Carayol et al. showed that there are ambiguous languages. We show that over infinite trees there is a hierarchy of degrees of ambiguity: For every k > 1 there are k-ambiguous languages that are not k - 1 ambiguous; and there are finitely (respectively countably, uncountably) ambiguous languages that are not boundedly (respectively finitely, countably) ambiguous.