Hitting formulas have been studied in many different contexts at least since [Iwama,89]. A hitting formula is a set of Boolean clauses such that any two of them cannot be simultaneously falsified. [Peitl,Szeider,05] conjectured that hitting formulas should contain the hardest formulas for resolution. They supported their conjecture with experimental findings. Using the fact that hitting formulas are easy to check for satisfiability we use them to build a static proof system Hitting: a refutation of a CNF in Hitting is an unsatisfiable hitting formula such that each of its clauses is a weakening of a clause of the refuted CNF. Comparing this system to resolution and other proof systems is equivalent to studying the hardness of hitting formulas. We show that tree-like resolution and Hitting are quasi-polynomially separated. We prove that Hitting is quasi-polynomially simulated by tree-like resolution, thus hitting formulas cannot be exponentially hard for resolution, so Peitl-Szeider's conjecture is partially refuted. Nevertheless Hitting is surprisingly difficult to polynomially simulate. Using the ideas of PIT for noncommutative circuits [Raz-Shpilka,05] we show that Hitting is simulated by Extended Frege. As a byproduct, we show that a number of static (semi)algebraic systems are verifiable in a deterministic polynomial time. We consider multiple extensions of Hitting. Hitting(+) formulas are conjunctions of clauses containing affine equations instead of just literals, and every assignment falsifies at most one clause. The resulting system is related to Res(+) proof system for which no superpolynomial lower bounds are known: Hitting(+) simulates the tree-like version of Res(+) and is at least quasi-polynomially stronger. We show an exponential lower bound for Hitting(+).
翻译:至少在[ Iwama, 89] 之后, 对许多不同背景下的命中公式进行了研究。 击中公式是一套不满意的直方公式, 以至于其中任何两个条款都不能同时伪造。 [Peitl, Szeider, 05] 推测击中公式应该包含最难解析的公式。 他们用实验性发现来支持其推测。 使用点击公式很容易检查是否具有可视性这一事实, 我们使用它们来建立一个静态验证系统 命中: 击中一个CNF是一个无法令人满意的直方公式。 因此, 它的每一个条款都会削弱被否定的 CNFUF。 将这个系统与解中的其他验证系统与对调中最难的公式。 我们用像树一样的分辨率来模拟它, 击中最接近的公式不能为解析, 因此Peitl- servicial 的直方程式会削弱它。 将Slickral 规则部分地用来推翻Slick- hill- hillations, 显示一个不具有可理解性规则。