Bipartite 3-regular counting problems with mixed signs

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2023-08-01 DOI:10.1016/j.jcss.2023.01.006
Jin-Yi Cai, Austen Z. Fan, Yin Liu
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Abstract

We prove a complexity dichotomy for a class of counting problems expressible as bipartite 3-regular Holant problems. These are also counting CSP problems where every constraint has arity 3 and every variable is read-thrice. For every problem of the form Holant(f|=3), where f is any integer (or equivalently, rational)-valued ternary symmetric constraint function on Boolean variables, we prove that it is either P-time computable or #P-hard, depending on an explicit criterion of f. The constraint function can take both positive and negative values, allowing for cancellations. In addition, we discover a new phenomenon: there is a set F with the property that for every fF the problem Holant(f|=3) is planar P-time computable but #P-hard in general, yet its planar tractability is by a combination of a holographic transformation by [1111] to FKT together with an independent global argument.

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具有混合符号的二分3-正则计数问题
我们证明了一类可表示为二分3-正则Holant问题的计数问题的复杂性二分法。这些还包括CSP问题,其中每个约束具有arity 3,并且每个变量读取三次。对于形式为Holant(f|=3)的每一个问题,其中f是布尔变量上的任何整数(或等价地,有理)值三元对称约束函数,我们证明它是P-时间可计算的或#P-硬的,这取决于f的显式标准。约束函数可以取正值和负值,允许消去。此外,我们还发现了一个新的现象:存在一个集合F,其性质是,对于每个F∈F,问题Holant(F|=3)是平面P时间可计算的,但通常是#P困难的,但其平面可处理性是由[111−1]到FKT的全息变换与独立的全局自变量相结合。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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