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Eigenvectors and Eigenvalues [PDF]

, 1986
This chapter gives the basic elementary properties of eigenvectors and eigenvalues. We get an application of determinants in computing the characteristic polynomial. In §3, we also get an elegant mixture of calculus and linear algebra by relating eigenvectors with the problem of finding the maximum and minimum of a quadratic function on the sphere ...
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Eigenvalues in Riemannian geometry

, 1984
I. Chavel
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Eigenvalues of graphs

1970
Bibliography: p. 55-56.
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Tensor Eigenvalues and Their Applications

, 2018
L. Qi, Yannan Chen, Haibin Chen
semanticscholar   +1 more source

Eigenvalues and Eigenvectors

1997
The decomposition of a matrix A into a product of two or three matrices can (depending on the characteristics of those matrices) be a very useful first step in computing such things as the rank, the determinant, or an (ordinary or generalized) inverse (of A) as well as a solution to a linear system having A as its coefficient matrix.
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The iterative calculation of a few of the lowest eigenvalues and corresponding eigenvectors of large real-symmetric matrices

, 1975
E. Davidson
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Eigenvalues

1983
Thomas Banchoff, John Wermer
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Optimality conditions and duality theory for minimizing sums of the largest eigenvalues of symmetric matrices

Mathematical programming, 2015
M. Overton, R. Womersley
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Eigenvalues and Eigenvectors

1992
Unless otherwise noted, we will assume throughout this chapter that all vector spaces are finite dimensional.
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On the theory of metals. 1. Eigenvalues and eigenfunctions for the linear atomic chain

, 1931
H. Bethe
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