中文

State Canonization and Early Pruning in Width-Based Automated Theorem Proving

数据结构与算法 2026-05-13 v1 计算复杂性 计算机科学中的逻辑 组合数学

摘要

Width-based automated theorem proving is a framework where counterexamples to graph-theoretic conjectures are searched width-wise relative to some graph width measure, such as treewidth or pathwidth. In a recent work it has been shown that dynamic programming algorithms operating on tree decompositions can be combined together with the purpose of width-based theorem proving. This approach can be used to show that several long-standing conjectures in graph theory can be tested in time 22kO(1)2^{2^{k^{O(1)}}} on the class of graphs of treewidth at most kk. In this work, we give the first steps towards evaluating the viability of this framework from a practical standpoint. At the same time, we advance the framework in two directions. First, we introduce a state-canonization technique that significantly reduces the number of states evaluated during the search for a counterexample of the conjecture. Second, we introduce an early-pruning technique that can be applied in the study of conjectures of the form P1P2\mathcal{P}_1 \rightarrow \mathcal{P}_2, for graph properties P1\mathcal{P}_1 and P2\mathcal{P}_2, where P1\mathcal{P}_1 is a property closed under subgraphs. As a concrete application, we use our framework in the study of graph-theoretic conjectures related to coloring triangle-free graphs. In particular, our algorithm is able to show that Reed's conjecture for triangle-free graphs is valid on the class of graphs of pathwidth at most 5, and on graphs of treewidth at most 3. Perhaps more interestingly, our algorithm is able to construct in a completely automated way counterexamples to invalid strengthenings of Reed's conjecture. These are the first results showing that width-based automated theorem proving is a promising avenue in the study of graph-theoretic conjectures.

关键词

引用

@article{arxiv.2605.11025,
  title  = {State Canonization and Early Pruning in Width-Based Automated Theorem Proving},
  author = {Mateus de Oliveira Oliveira and Sam Urmian},
  journal= {arXiv preprint arXiv:2605.11025},
  year   = {2026}
}

备注

Full version. 66 pages, 2 figures, 10 tables