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On the positive definiteness and eigenvalues of meet and join matrices

机译:关于满足和连接矩阵的正定性和特征值

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In this paper we study the positive definiteness of meet and join matrices using a novel approach. When the set Sn is meet closed, we give a necessary and sufficient condition for the positive definiteness of the matrix (f (S_n)). From this condition we obtain some sufficient conditions for positive definiteness as corollaries. We also use graph theory and show that by making some graph theoretic assumptions on the set Sn we are able to reduce the assumptions on the function f while still preserving the positive definiteness of the matrix (f (S_n)). Dual theorems of these results for join matrices are also presented. As examples we consider the so-called power GCD and reciprocal power LCM matrices as well as MIN and MAX matrices. Finally we give bounds for the eigenvalues of meet and join matrices in cases when the function f possesses certain monotonic behaviour.
机译:在本文中,我们使用一种新颖的方法来研究满足矩阵和连接矩阵的正定性。当集合Sn满足闭合条件时,我们给出矩阵(f(S_n))的正定性的充要条件。从该条件我们可以得出一些肯定肯定的条件作为推论。我们还使用图论,表明通过对集合Sn进行一些图论假设,我们能够减少对函数f的假设,同时仍然保留矩阵(f(S_n))的正定性。还给出了连接矩阵的这些结果的对偶定理。作为示例,我们考虑所谓的幂GCD和倒数幂LCM矩阵以及MIN和MAX矩阵。最后,当函数f具有某些单调性时,满足和合矩阵特征值的界限。

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