Slightly Non-Linear Higher-Order Tree Transducers
This work addresses foundational questions in theoretical computer science about automata and transducers, with incremental contributions building on prior work.
The paper tackles the problem of characterizing the expressive power of affine λ-transducers, showing that with almost purely affine memory they can be translated to tree-walking transducers, leading to a proof of an inexpressivity conjecture, and that a more powerful variant is equivalent to invisible pebble tree transducers.
We investigate the tree-to-tree functions computed by "affine $λ$-transducers": tree automata whose memory consists of an affine $λ$-term instead of a finite state. They can be seen as variations on Gallot, Lemay and Salvati's Linear High-Order Deterministic Tree Transducers. When the memory is almost purely affine ($\textit{à la}$ Kanazawa), we show that these machines can be translated to tree-walking transducers (and with a purely affine memory, we get a reversible tree-walking transducer). This leads to a proof of an inexpressivity conjecture of Nguyên and Pradic on "implicit automata" in an affine $λ$-calculus. We also prove that a more powerful variant, extended with preprocessing by an MSO relabeling and allowing a limited amount of non-linearity, is equivalent in expressive power to Engelfriet, Hoogeboom and Samwel's invisible pebble tree transducers. The key technical tool in our proofs is the Interaction Abstract Machine (IAM), an operational avatar of Girard's geometry of interaction, a semantics of linear logic. We work with ad-hoc specializations to $λ$-terms of low exponential depth of a tree-generating version of the IAM.