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P2 Symmetries of Graphs and Structures that Fail to Interpret a Finite Thing

不能解释某个有限事物的图与结构的对称性
LICS 2023 38th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS)2023匹配度 1/10 · 论文研究有限结构不可解释性、图/结构的代数对称性与CSP可解性,属于模型论与逻辑自动机方向;与用户关注的PL/AI静态分析、Agentic程序、浮点程序分析及贝叶斯程序分析没有直接交集。引用 11 inbox
Libor Barto, Bertalan Bodor, Marcin Kozik, Antoine Mottet, Michael Pinsker
crossref: 2026-09-12dblp: 2026-09-12

AI 速览

一句话:研究图与结构在无法pp解释所有有限结构时被迫满足的代数对称性,推广CSP可解性相关定理并构造无限反例。

本文研究有向图在带参数或轨道的原始正解释(primitive positive interpretation)下不能解释每个有限结构这一条件带来的结构后果。作者证明,此类图必须满足若干代数不变性,推广了文献中已有定理,并把这些性质与约束满足问题(CSP)的可易处理性联系起来;即使对无限可数范畴图,也给出新的代数不变性。作为平衡,作者构造了一个可数范畴超图:它不能解释某个有限结构,却仍缺乏有限结构已知具备的一些最核心代数不变性。这表明有限与无限情形之间存在本质差异。

问题
有向图(乃至无限可数范畴结构)不能以带参数或轨道的原始正解释解释所有有限结构时,会强制产生哪些结构/代数不变性,以及这些不变性与CSP的易处理性有何联系?
方法
采用模型论中的原始正解释(带参数或轨道)和代数不变性分析,推广已有定理;并通过构造可数范畴超图来给出反例,比较有限与无限情形。
评估
以理论证明为主:推广若干文献定理,对无限可数范畴图得到新的代数不变性,并构造反例说明有限结构上成立的核心代数性质在无限结构中可能失效。
原文摘要(Abstract)

We investigate structural implications arising from the condition that a given directed graph does not interpret, in the sense of primitive positive interpretation with parameters or orbits, every finite structure. Our results generalize several theorems from the literature and yield further algebraic invariance properties that must be satisfied in every such graph. Algebraic properties of this kind are tightly connected to the tractability of constraint satisfaction problems, and we obtain new such properties even for infinite countably categorical graphs. We balance these positive results by showing the existence of a countably categorical hypergraph that fails to interpret some finite structure, while still lacking some of the most essential algebraic invariance properties known to hold for finite structures.

链接与引用

DOI 原文 · PDF(开放获取) · DBLP

BibTeX
@inproceedings{BartoBKMP23,
  title = {Symmetries of Graphs and Structures that Fail to Interpret a Finite Thing},
  author = {Libor Barto and Bertalan Bodor and Marcin Kozik and Antoine Mottet and Michael Pinsker},
  booktitle = {LICS},
  year = {2023},
  doi = {10.1109/lics56636.2023.10175732}
}