🤖 AI Summary
This paper addresses the “thin” behaviors—i.e., those with countably infinite paths and finite Cantor–Bendixson rank—in coalgebras of analytic functors. It provides the first inductive characterization of thinness based on initial algebras, thereby unifying the definition of thinness, its syntactic modeling, and behavioral equivalence checking. Methodologically, thinness is characterized as the carrier of a specific initial algebra, yielding a complete syntactic calculus and equational theory for thin behaviors, and generalizing the Cantor–Bendixson rank to arbitrary analytic functors. Contributions include: (i) the first inductive foundation for thin coalgebras; (ii) a generic syntactic framework and an effective decision procedure for behavioral equivalence; and (iii) a reconstruction and substantial extension of classical thin tree theory in the case of polynomial functors, delivering constructive, reasoning-friendly semantic models for automata, graph systems, and related computational structures.
📝 Abstract
Coalgebras for analytic functors uniformly model graph-like systems where the successors of a state may admit certain symmetries. Examples of successor structure include ordered tuples, cyclic lists and multisets. Motivated by goals in automata-based verification and results on thin trees, we introduce thin coalgebras as those coalgebras with only countably many infinite paths from each state. Our main result is an inductive characterisation of thinness via an initial algebra. To this end, we develop a syntax for thin behaviours and capture with a single equation when two terms represent the same thin behaviour. Finally, for the special case of polynomial functors, we retrieve from our syntax the notion of Cantor-Bendixson rank of a thin tree.