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arXiv math/9912120math.CO
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矩阵与$α$ -稳定的二部图

Matrices and $α$-Stable Bipartite Graphs

Vadim E. Levit, Eugen Mandrescu

摘要:

一个n > 0阶的(0,1)-方阵X称为完全不可分解的,如果不存在整数k且0 < k < n,使得X有一个k × n-k零子阵。图G的一个独立集是两两不相邻顶点的子集。G的稳定数记为$α(G)$,是G中最大独立集的基数.一个图称为$α$ -稳定的,如果它的稳定数在删除和添加任何边时保持相同。我们证明了一个连通二部图恰好有两个划分其顶点集的最大稳定集当且仅当它的约简邻接矩阵是完全不可分解的。我们还描述了一个分解结构的$α$ -稳定的二部图在其减少邻接矩阵。在这些发现的基础上,我们得到了Brualdi,Marcus和Minc,Dulmage和Mendelsohn关于矩阵结构的一些著名定理的新证明,以及这些陈述的一些推广。给出了关于$α$ -稳定二部图及其约简邻接矩阵的一些新结果。本文还讨论了两种矩阵积(即布尔积和克罗内克积)及其相应的图运算。作为结果,我们得到一个加强的Lewin定理声称的产品是两个完全不可分解的矩阵是一个完全不可分解的矩阵。

英文摘要:

A square (0,1)-matrix X of order n > 0 is called fully indecomposable if there exists no integer k with 0 < k < n, such that X has a k by n-k zero submatrix. A stable set of a graph G is a subset of pairwise nonadjacent vertices. The stability number of G, denoted by $α(G)$, is the cardinality of a maximum stable set in G. A graph is called $α$-stable if its stability number remains the same upon both the deletion and the addition of any edge. We show that a connected bipartite graph has exactly two maximum stable sets that partition its vertex set if and only if its reduced adjacency matrix is fully indecomposable. We also describe a decomposition structure of $α$-stable bipartite graphs in terms of their reduced adjacency matrices. On the base of these findings we obtain both new proofs for a number of well-known theorems on the structure of matrices due to Brualdi, Marcus and Minc, Dulmage and Mendelsohn, and some generalizations of these statements. Several new results on $α$-stable bipartite graphs and their corresponding reduced adjacency matrices are presented, as well. Two kinds of matrix product are also considered (namely, Boolean product and Kronecker product), and their corresponding graph operations. As a consequence, we obtain a strengthening of one Lewin's theorem claiming that the product of two fully indecomposable matrices is a fully indecomposable matrix.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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