Daniel Gibney, Gary Hoppenworth, Sharma V. Thankachan
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引用次数: 18
摘要
为了证明强指数时间假设(SETH)下的紧下界,将CNF公式可满足性问题(CNF- sat)简化为P中的许多基本问题。最近,Abboud, Hansen, Vassilevska W. and Williams (STOC 16)以及后来的Abboud and Bringmann (ICALP 18)提出了基于一般布尔公式可满足性(formula - sat)的硬度的下界。来自sat公式的约简比来自CNF-SAT的通常约简有两个优点:(1)关于sat公式的硬度的猜想可以说比CNF-SAT的猜想更可信,(2)这些约简甚至对问题上界的对数改进也有影响。这里我们给出了从sat公式到另外两个问题的严格约简:标记图上的模式匹配(ppmlg)和子树同构。此前,Formula-SAT的缩减主要针对序列比对问题,如Edit Distance、LCS和Frechet Distance,需要一些技术工作。本文使用了类似于以前使用过的思想,但是在一个明显更简单的环境中,帮助说明底层技术的最显著特征。
Simple Reductions from Formula-SAT to Pattern Matching on Labeled Graphs and Subtree Isomorphism
The CNF formula satisfiability problem (CNF-SAT) has been reduced to many fundamental problems in P to prove tight lower bounds under the Strong Exponential Time Hypothesis (SETH). Recently, the works of Abboud, Hansen, Vassilevska W. and Williams (STOC 16), and later, Abboud and Bringmann (ICALP 18) have proposed basing lower bounds on the hardness of general boolean formula satisfiability (Formula-SAT). Reductions from Formula-SAT have two advantages over the usual reductions from CNF-SAT: (1) conjectures on the hardness of Formula-SAT are arguably much more plausible than those of CNF-SAT, and (2) these reductions give consequences even for logarithmic improvements in a problems upper bounds.
Here we give tight reductions from Formula-SAT to two more problems: pattern matching on labeled graphs (PMLG) and subtree isomorphism. Previous reductions from Formula-SAT were to sequence alignment problems such as Edit Distance, LCS, and Frechet Distance and required some technical work. This paper uses ideas similar to those used previously, but in a decidedly simpler setting, helping to illustrate the most salient features of the underlying techniques.