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Orthogonal Decomposition and Packing of Complete Graphs

机译:正交分解和完整图的打包

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An H-decomposition of a graph G is a partition of the edge-set of G into subsets, where each subset induces a copy of the graph H. A k-orthogonal H-decomposition of a graph G is a set of k H-decompositions of G, such that any two copies of H in distinct H-decompositions intersect in at most one edge. In case G = K_n and H = K_r, a k-orthogonal K_r-decomposition of K_n is called an (n, r, k) completely reducible super-simple design. We prove that for any two fixed integers r and k, there exists N = N(k, r) such that for every n > N, if K_n has a K_r-decomposition, then K_n also has an (n, r, k) completely-reducible super-simple design. If K_n does not have a K_r-decomposition, we show how to obtain a k-orthogonal optimal K_r-packing of K_n. Complexity issues of k-orthogonal H-decompositions are also treated.
机译:图G的H分解是G的边集到子集的分区,其中每个子集都诱导出图H的副本。图G的k正交H分解是k H-的集合。 G的分解,使得在不同的H分解中H的任意两个副本在一个边缘处相交。在G = K_n和H = K_r的情况下,将K_n的k正交K_r分解称为(n,r,k)完全可简化的超简单设计。我们证明对于任意两个固定整数r和k,存在N = N(k,r)使得对于每个n> N,如果K_n具有K_r分解,那么K_n也具有(n,r,k)完全可简化的超简单设计。如果K_n不具有K_r分解,我们将说明如何获得K_n的k正交最优K_r压缩。还讨论了k正交H分解的复杂性问题。

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