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Linear Separation of Total Dominating Sets in Graphs

机译:图中总支配集的线性分离

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A total dominating set in a graph is a set of vertices such that every vertex of the graph has a neighbor in the set. We introduce and study graphs that admit non-negative real weights associated to their vertices so that a set of vertices is a total dominating set if and only if the sum of the corresponding weights exceeds a certain threshold. We show that these graphs, which we call total domishold graphs, form a non-hereditary class of graphs properly containing the classes of threshold graphs and the complements of domishold graphs. We present a polynomial time recognition algorithm of total domishold graphs, and obtain partial results towards a characterization of graphs in which the above property holds in a hereditary sense. Our characterization in the case of split graphs is obtained by studying a new family of hypergraphs, defined similarly as the Sperner hypergraphs, which may be of independent interest.
机译:图中的总支配集是一组顶点,使得图的每个顶点在该集中都有一个邻居。我们引入并研究允许其顶点关联的非负实际权重的图,这样,当且仅当相应权重的总和超过某个阈值时,一组顶点才是总支配集。我们证明了这些图(我们称为总Domishold图)形成了一个非世袭类图,正确地包含阈值图类和Domishold图的补集。我们提出了总Domishold图的多项式时间识别算法,并获得了针对图的表征的部分结果,其中上述特性在遗传意义上保持不变。我们通过研究一个新的超图族(与Sperner超图定义相似)来获得我们在分裂图情况下的表征,这可能是与众不同的。

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