图微分的变量数与图同构公式的求解

IF 0.7 4区 数学 Q3 COMPUTER SCIENCE, THEORY & METHODS ACM Transactions on Computational Logic Pub Date : 2023-04-07 DOI:https://dl.acm.org/doi/10.1145/3580478
Jacobo Torán, Florian Wörz
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引用次数: 0

摘要

我们证明了用一阶逻辑句子区分一对图所需的变量数和量词深度与命题狭义解析中反驳相应图同构公式所需的子句宽度和深度的复杂性度量完全匹配。利用这一联系,我们得到了在(正规)分辨率下反驳图同构公式的上界和下界。特别是,我们证明,如果k是区分两个各有n个顶点的图所需的最小变量数,则对应的同构公式存在nO(k)分辨率反驳大小上界,以及该公式的树状分辨率大小和分辨率子句空间的2k-1和k下界。对于具有恒定颜色类大小的彩色图,我们还显示了exp的(正常)分辨率大小下界(Ω (k2/n))。应用这些结果,我们证明了用全局对称规则扩展分辨率的证明系统SRC-1中图同构公式的第一个指数下界,从而回答了Schweitzer和Seebach提出的一个开放性问题。
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Number of Variables for Graph Differentiation and the Resolution of Graph Isomorphism Formulas

We show that the number of variables and the quantifier depth needed to distinguish a pair of graphs by first-order logic sentences exactly match the complexity measures of clause width and depth needed to refute the corresponding graph isomorphism formula in propositional narrow resolution.

Using this connection, we obtain upper and lower bounds for refuting graph isomorphism formulas in (normal) resolution. In particular, we show that if k is the minimum number of variables needed to distinguish two graphs with n vertices each, then there is an nO(k) resolution refutation size upper bound for the corresponding isomorphism formula, as well as lower bounds of 2k-1 and k for the treelike resolution size and resolution clause space for this formula. We also show a (normal) resolution size lower bound of exp (Ω (k2/n)) for the case of colored graphs with constant color class sizes.

Applying these results, we prove the first exponential lower bound for graph isomorphism formulas in the proof system SRC-1, a system that extends resolution with a global symmetry rule, thereby answering an open question posed by Schweitzer and Seebach.

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来源期刊
ACM Transactions on Computational Logic
ACM Transactions on Computational Logic 工程技术-计算机:理论方法
CiteScore
2.30
自引率
0.00%
发文量
37
审稿时长
>12 weeks
期刊介绍: TOCL welcomes submissions related to all aspects of logic as it pertains to topics in computer science. This area has a great tradition in computer science. Several researchers who earned the ACM Turing award have also contributed to this field, namely Edgar Codd (relational database systems), Stephen Cook (complexity of logical theories), Edsger W. Dijkstra, Robert W. Floyd, Tony Hoare, Amir Pnueli, Dana Scott, Edmond M. Clarke, Allen E. Emerson, and Joseph Sifakis (program logics, program derivation and verification, programming languages semantics), Robin Milner (interactive theorem proving, concurrency calculi, and functional programming), and John McCarthy (functional programming and logics in AI). Logic continues to play an important role in computer science and has permeated several of its areas, including artificial intelligence, computational complexity, database systems, and programming languages. The Editorial Board of this journal seeks and hopes to attract high-quality submissions in all the above-mentioned areas of computational logic so that TOCL becomes the standard reference in the field. Both theoretical and applied papers are sought. Submissions showing novel use of logic in computer science are especially welcome.
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