Gabriele Puppis

Christian Bianchini, Gabriele Puppis

We provide general criteria for the existence of minimal models of streaming transducers, namely devices that read an input word and produce an output value by iteratively updating an internal memory. This abstract model subsumes classical (sub)sequential transducers (Schützenberger), streaming string-to-string transducers (Alur-Černý), polynomial automata (Benedikt et al.), and variants of streaming string-to-tree transducers (Alur-D'Antoni). We then instantiate these criteria to obtain effective minimization results for variants of the latter model, where outputs are terms constructed incrementally by extending (tuples of) terms either at the leaves or at the roots.

Massimo Benerecetti, Dario Della Monica, Angelo Matteo et al.

We study the expressive power of First-Order Logic (\FO) over (unordered) infinite trees, with the aim of identifying robust characterisations in terms of branching-time specification formalisms. While such correspondences are well understood in the linear-time setting, the branching-time case presents well-known structural challenges. To this end, we introduce two classes of hesitant tree automata and show that they capture precisely the expressive power of two branching-time temporal logics, namely \PolPCTL and \CTLsf, both of which have been previously shown to be equivalent to \FO over infinite trees. These results provide uniform automata-theoretic characterisations and yield a natural normal form for the latter in terms of a new fragment of \CTLs called \PolCTLs. As a consequence, we identify a fundamental limitation of \FO in this setting: along each branch, it can express only properties that are either safety or co-safety, thereby revealing a sharp expressive boundary for first-order definability over infinite trees.