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arXiv 2608.05431cs.CC

基于离散常微分方程的计数类与交替类的特征刻画研究

Towards a Characterization of Counting and Alternating Classes via Discrete Ordinary Differential Equations

发表机构卡尔·弗里德里希·冯·魏茨泽克中心,蒂宾根大学 · 新里斯本科技大学 · 数学与应用中心(NOVA数学)
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  • Carl Friedrich von Weizsäcker-Zentrum, Universität Tübingen(卡尔·弗里德里希·冯·魏茨泽克中心,蒂宾根大学)
  • NOVA FCT(新里斯本科技大学)
  • Center for Mathematics and Applications (NOVA Math)(数学与应用中心(NOVA数学))

机构由 AI 辅助整理,请以论文原文为准。

Melissa Antonelli, Eduardo Skapinakis

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中文总结 AI 辅助

该研究提出基于离散常微分方程的统一框架,将其应用于计数类与交替类的特征刻画,建立微分与计数的联系,拓展了隐式复杂性的研究范围。

中文摘要 AI 辅助

本文报告了一项正在进行的项目,旨在利用基于离散常微分方程(ODE)的隐式方法研究多种复杂性类,甚至涵盖小型电路类和多项式时间类之外的类别。受近期基于ODE的多项式时间函数(FP)及实数上类的特征刻画研究的启发,本项目将该研究进一步推进至计数类与交替类领域。具体而言,我们提出了一个统一框架,该框架构建于单一基础代数和统一模式族之上,其中多项式层次和计数层次等复杂性层级可通过ODE算子的嵌套深度简单捕获。关键在于,我们的方法从远弱于FP的基础类出发,强化了现有的递归论处理,并建立了与描述复杂性的自然联系。此外,通过分离出三个基本模式,我们的框架使线性限制的计算内容完全透明,同时将基于ODE的隐式复杂性扩展至此前未涉及的计数类,如oplusP。更广泛地说,这项工作在微分与计数之间建立了清晰的桥梁,为不同复杂性类之间的关系提供了新视角,相关研究仍在进行中并将持续推进。

英文摘要

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.

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