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On spectral properties of signed Laplacians for undirected graphs

机译:关于无向图的有符号拉普拉斯算子的光谱性质

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Recently, signed weighted graphs have appeared in broad applications, ranging from social networks to biological networks, from distributed control systems to electric power systems. This paper studies the spectral properties of the signed Laplacians associated with undirected signed graphs. We first revisit and provide a new dimension of understanding on the positive semidefiniteness of signed Laplacians via n-port network theory. We then go beyond positive semidefiniteness and characterize the inertia of a signed Laplacian via the notion of the conductance matrix.
机译:最近,带符号的加权图已出现在从社交网络到生物网络,从分布式控制系统到电力系统的广泛应用中。本文研究了与无向有符号图相关的有符号拉普拉斯算子的光谱特性。我们首先通过n端口网络理论重新审视并提供对有符号拉普拉斯算子的正半定性的理解的新维度。然后,我们超越了正半定性,并通过电导矩阵的概念来描述带符号拉普拉斯算子的惯性。

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