Proof complexity of natural formulas via communication arguments

D. Itsykson, Artur Riazanov
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引用次数: 5

Abstract

A canonical communication problem Search (φ) is defined for every unsatisfiable CNF φ: an assignment to the variables of φ is partitioned among the communicating parties, they are to find a clause of φ falsified by this assignment. Lower bounds on the randomized k-party communication complexity of Search (φ) in the number-on-forehead (NOF) model imply tree-size lower bounds, rank lower bounds, and size-space tradeoffs for the formula φ in the semantic proof system Tcc (k, c) that operates with proof lines that can be computed by k-party randomized communication protocol using at most c bits of communication [9]. All known lower bounds on Search (φ) (e.g. [1, 9, 13]) are realized on ad-hoc formulas φ (i.e. they were introduced specifically for these lower bounds). We introduce a new communication complexity approach that allows establishing proof complexity lower bounds for natural formulas. First, we demonstrate our approach for two-party communication and apply it to the proof system Res(⊕) that operates with disjunctions of linear equalities over F2 [14]. Let a formula PMG encode that a graph G has a perfect matching. If G has an odd number of vertices, then PMG has a tree-like Res(⊕)-refutation of a polynomial-size [14]. It was unknown whether this is the case for graphs with an even number of vertices. Using our approach we resolve this question and show a lower bound 2Ω(n) on size of tree-like Res(⊕)-refutations of PMKn+2,n. Then we apply our approach for k-party communication complexity in the NOF model and obtain a [EQUATION] lower bound on the randomized k-party communication complexity of Search (BPHPM2n) w.r.t. to some natural partition of the variables, where BPHPM2n is the bit pigeonhole principle and M = 2n + 2n(1--1/k). In particular, our result implies that the bit pigeonhole requires exponential tree-like Th(k) proofs, where Th(k) is the semantic proof system operating with polynomial inequalities of degree at most k and k = O(log1--ϵ n) for some ϵ > 0. We also show that BPHP2n+12n superpolynomially separates tree-like Th(log1--ϵ m) from tree-like Th(log m), where m is the number of variables in the refuted formula.
用通信论证证明自然公式的复杂性
对于每一个不满足CNF φ,定义了一个正则通信问题Search (φ):在通信各方之间划分了φ变量的赋值,他们要找到一个由这个赋值证伪的φ子句。额上数(NOF)模型中Search (φ)的随机k方通信复杂度的下界意味着语义证明系统Tcc (k, c)中公式φ的树大小下界、排名下界和大小空间权衡,该证明系统使用k方随机通信协议最多使用c位通信来计算证明行[9]。所有已知的Search (φ)的下界(例如[1,9,13])都是在特设公式φ上实现的(即它们是专门为这些下界引入的)。我们引入了一种新的通信复杂度方法,允许建立自然公式的证明复杂度下界。首先,我们展示了我们的两方通信方法,并将其应用于具有F2上线性等式析取的证明系统Res(⊕)[14]。让公式PMG编码一个图G有一个完美匹配。如果G有奇数个顶点,则PMG有一个树状Res(⊕)——多项式的反驳——大小[14]。对于具有偶数个顶点的图,是否会出现这种情况尚不清楚。使用我们的方法,我们解决了这个问题,并显示了树形Res(⊕)大小的下界2Ω(n) - PMKn+2,n的反驳。然后,我们将我们的方法应用于NOF模型中的k方通信复杂度,并获得了随机k方通信复杂度(BPHPM2n) w.r.t.的下界,其中BPHPM2n是位鸽洞原理,M = 2n + 2n(1—1/k)。特别地,我们的结果表明,位鸽子洞需要指数树状的Th(k)证明,其中Th(k)是语义证明系统,其操作的多项式不等式的度数最多为k,对于某些λ > 0, k = O(log1—λ)。我们还证明了BPHP2n+12n对树状Th(log1—λ m)和树状Th(log m)进行超多项式分离,其中m是驳斥公式中的变量数。
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