Towards a Characterization of Counting and Alternating Classes via Discrete Ordinary Differential Equations
TL;DR
A uniform framework is presented, built upon a single base algebra and a unified family of schemas, where complexity levels, such as those of the polynomial and counting hierarchies, are captured simply by the nesting depth of ODE operators.
Abstract
This paper presents a high-level report on an ongoing project aiming to leverage implicit approaches based on discrete ordinary differential equations (ODEs) to study multiple complexity classes, even beyond small circuit and polynomial-time classes. Stimulated by recent ODE-based characterizations of polynomial-time functions (FP) and classes over the reals, the research project outlined here pushes this investigation further into counting and alternation. Specifically, we present a uniform framework, built upon a single base algebra and a unified family of schemas, where complexity levels, such as those of the polynomial and counting hierarchies, are captured simply by the nesting depth of ODE operators. Crucially, our approach starts from a base class much weaker than FP, thus strengthening existing recursion-theoretic treatments and establishing a natural connection to descriptive complexity. Moreover, by isolating three elementary schemas, our framework makes the computational content of linearity restrictions completely transparent while extending ODE-based implicit complexity to previously unaddressed counting classes, such as oplusP. More generally, this work establishes a clear bridge between differentiation and counting, offering a fresh perspective on the relationships between different complexity classes, which remains the object of ongoing and future research.