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Lower Bounds for the Graph Homomorphism Problem

机译:图同态问题的下界

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The graph homomorphism problem (HOM) asks whether the vertices of a given n-vertex graph G can be mapped to the vertices of a given h-vertex graph H such that each edge of G is mapped to an edge of H. The problem generalizes the graph coloring problem and at the same time can be viewed as a special case of the 2-CSP problem. In this paper, we prove several lower bounds for HOM under the Exponential Time Hypothesis (ETH) assumption. The main result is a lower bound 2~(Ω(nlogh/loglogh)). This rules out the existence of a single-exponential algorithm and shows that the trivial upper bound 2~(O(nlogh)) is almost asymptotically tight. We also investigate what properties of graphs G and H make it difficult to solve HOM(G, H). An easy observation is that an O(h~n) upper bound can be improved to O(h~(vc(G))) where vc(G) is the minimum size of a vertex cover of G. The second lower bound h~(Ω(vc(G))) shows that the upper bound is asymptotically tight. As to the properties of the '"right-hand side" graph H, it is known that HOM(G, H) can be solved in time (f(Δ(H)))~n and (f(tw(H)))~n where Δ(H) is the maximum degree of H and tvf(H) is the treewidth of H. This gives single-exponential algorithms for graphs of bounded maximum degree or bounded treewidth. Since the chromatic number x(H) does not exceed tw(H) and Δ(H) + 1. it is natural to ask whether similar upper bounds with respect to x(H) can be obtained. We provide a negative answer by establishing a lower bound (f(x(H)))~n for every function f. We also observe that similar lower bounds can be obtained for locally injective homomorphisms.
机译:图同质问题(HOM)询问是否可以将给定的n个顶点图G的顶点映射到给定的h个顶点图H的顶点,以使G的每个边都映射到H的边。图形着色问题同时可以看作是2-CSP问题的特例。在本文中,我们证明了在指数时间假设(ETH)假设下HOM的几个下界。主要结果是下限2〜(Ω(nlogh / loglogh))。这排除了单指数算法的存在,并表明平凡的上限2〜(O(nlogh))几乎渐近严格。我们还研究了图G和H的哪些属性使求解HOM(G,H)变得困难。一个简单的观察结果是,可以将O(h〜n)的上限提高到O(h〜(vc(G))),其中vc(G)是G的顶点覆盖的最小大小。第二个下限h 〜(Ω(vc(G)))表明上限是渐近严格的。关于“右侧”图H的性质,已知HOM(G,H)可以在时间(f(Δ(H)))〜n和(f(tw(H))的时间内求解。 ))〜n其中Δ(H)是H的最大程度,tvf(H)是H的树宽。这给出了有界最大程度或有界树宽的图的单指数算法。由于色数x(H)不超过tw(H)和Δ(H)+1。自然要问是否可以获得关于x(H)的相似上限。我们通过为每个函数f确定一个下界(f(x(H)))〜n来提供否定答案。我们还观察到可以为局部内射同态获得类似的下界。

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