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</script>Given a graph G on n vertices and \(z\in R^ n\), we say that a vertex of G is positive, nonnegative, null, etc. if the corresponding entry of z has that property. For z such that Az\(\geq \alpha z\) (A is the adjacency matrix of G) the number of components of the subgraph induced by positive vertices is bounded. Inequalities for several related quantities are derived provided z is an eigenvector. The paper reflects a recent trend in the theory of graph spectra: studying eigenspaces of graphs.
Numerical Analysis, Eigenvalues, singular values, and eigenvectors, Algebra and Number Theory, adjacency matrix, Graphs and linear algebra (matrices, eigenvalues, etc.), eigenspaces of graphs, Discrete Mathematics and Combinatorics, graph spectra, Geometry and Topology
Numerical Analysis, Eigenvalues, singular values, and eigenvectors, Algebra and Number Theory, adjacency matrix, Graphs and linear algebra (matrices, eigenvalues, etc.), eigenspaces of graphs, Discrete Mathematics and Combinatorics, graph spectra, Geometry and Topology
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 58 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
