Correction to: Near-Optimal Lower Bounds on Regular Resolution Refutations of Tseitin Formulas for All Constant-Degree Graphs
computational complexity(2021)
摘要
This paper is motivated by seeking the exact complexity of resolution refutation of Tseitin formulas. We prove that the size of any regular resolution refutation of a Tseitin formula T(G, c) based on a connected graph G =(V, E) is at least 2^Ω( tw(G)/ log |V|) , where tw(G) denotes the treewidth of a graph G . For constant-degree graphs, there is a known upper bound 2^𝒪( tw(G)) poly(|V|) (Alekhnovich Razborov Comput. Compl. 2011; Galesi, Talebanfard Torán ACM Trans. Comput. Theory 2020), so our lower bound is tight up to a logarithmic factor in the exponent. Our proof consists of two steps. First, we show that any regular resolution refutation of an unsatisfiable Tseitin formula T(G, c) of size S can be converted to a read-once branching program computing a satisfiable Tseitin formula T(G,c') of size S^𝒪( log |V|) and this bound is tight. Second, we give the exact characterization of the nondeterministic read-once branching program (1-NBP) complexity of satisfiable Tseitin formulas in terms of structural properties of underlying graphs. Namely, we introduce a new graph measure, the component width (compw) and show that the size of a minimal 1-NBP computing a satisfiable Tseitin formula T(G,c') based on a graph G = (V, E) equals 2^compw(G) up to a polynomial factor. Then we show that Ω( tw(G)) ≤ compw(G) ≤𝒪( tw(G) log(|V|)) and both of these bounds are tight. The lower bound improves the recent result by Glinskih Itsykson (Theory Comput. Syst. 2021).
更多查看译文
关键词
Tseitin formula,Treewidth,Read-once branching program,Regular resolution,Lower bound,Proof complexity
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要