Choiceless Polynomial Time with Witnessed Symmetric Choice

IF 2.3 2区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Journal of the ACM Pub Date : 2024-02-13 DOI:10.1145/3648104
Moritz Lichter, Pascal Schweitzer
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引用次数: 0

Abstract

We extend Choiceless Polynomial Time (CPT), the currently only remaining promising candidate in the quest for a logic capturing Ptime, so that this extended logic has the following property: for every class of structures for which isomorphism is definable, the logic automatically captures Ptime.

For the construction of this logic we extend CPT by a witnessed symmetric choice operator. This operator allows for choices from definable orbits. But, to ensure polynomial-time evaluation, automorphisms have to be provided to certify that the choice set is indeed an orbit.

We argue that, in this logic, definable isomorphism implies definable canonization. Thereby, our construction removes the non-trivial step of extending isomorphism definability results to canonization. This step was a part of proofs that show that CPT or other logics capture Ptime on a particular class of structures. The step typically required substantial extra effort.

带见证对称选择的无选择多项式时间
我们扩展了无选择多项式时间(CPT),它是目前唯一有望捕捉 Ptime 的逻辑,因此这个扩展逻辑具有以下特性:对于每一类可定义同构的结构,该逻辑都能自动捕捉 Ptime。为了构建这个逻辑,我们通过一个有见证的对称选择算子来扩展 CPT。这个算子允许从可定义的轨道中进行选择。但是,为了确保多项式时间评估,必须提供自动形态来证明选择集确实是一个轨道。我们认为,在这种逻辑中,可定义同构意味着可定义规范化。因此,我们的构造消除了将同构可定义性结果扩展到规范化的非难步骤。这一步是证明 CPT 或其他逻辑捕捉特定结构类别的 Ptime 的一部分。这一步骤通常需要大量的额外工作。
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来源期刊
Journal of the ACM
Journal of the ACM 工程技术-计算机:理论方法
CiteScore
7.50
自引率
0.00%
发文量
51
审稿时长
3 months
期刊介绍: The best indicator of the scope of the journal is provided by the areas covered by its Editorial Board. These areas change from time to time, as the field evolves. The following areas are currently covered by a member of the Editorial Board: Algorithms and Combinatorial Optimization; Algorithms and Data Structures; Algorithms, Combinatorial Optimization, and Games; Artificial Intelligence; Complexity Theory; Computational Biology; Computational Geometry; Computer Graphics and Computer Vision; Computer-Aided Verification; Cryptography and Security; Cyber-Physical, Embedded, and Real-Time Systems; Database Systems and Theory; Distributed Computing; Economics and Computation; Information Theory; Logic and Computation; Logic, Algorithms, and Complexity; Machine Learning and Computational Learning Theory; Networking; Parallel Computing and Architecture; Programming Languages; Quantum Computing; Randomized Algorithms and Probabilistic Analysis of Algorithms; Scientific Computing and High Performance Computing; Software Engineering; Web Algorithms and Data Mining
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