English

Towards New Characterizations of Small Circuit Classes via Discrete Ordinary Differential Equations

Computational Complexity 2025-08-28 v1

Abstract

Implicit computational complexity is a lively area of theoretical computer science, which aims to provide machine-independent characterizations of relevant complexity classes. % for uniformity with subsequent uses >> 1960s (but feel free to modify it) % One of the seminal works in this field appeared in the 1960s, when Cobham introduced a function algebra closed under bounded recursion on notation to capture polynomial time computable functions (FPFP). Later on, several complexity classes have been characterized using \emph{limited} recursion schemas. In this context, an original approach has been recently introduced, showing that ordinary differential equations (ODEs) offer a natural tool for algorithmic design and providing a characterization of FPFP by a new ODE-schema. In the present paper we generalize this approach by presenting original ODE-characterizations for the small circuit classes AC0AC^0 and FTC0FTC^0.

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Cite

@article{arxiv.2508.19392,
  title  = {Towards New Characterizations of Small Circuit Classes via Discrete Ordinary Differential Equations},
  author = {Melissa Antonelli and Arnaud Durand and Juha Kontinen},
  journal= {arXiv preprint arXiv:2508.19392},
  year   = {2025}
}

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34 pages