On the first eigenvalue of bipartite graphs.
Bhattacharya, Amitava, Friedland, Shmuel, Peled, Uri N. (2008)
The Electronic Journal of Combinatorics [electronic only]
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Bhattacharya, Amitava, Friedland, Shmuel, Peled, Uri N. (2008)
The Electronic Journal of Combinatorics [electronic only]
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Grone, Robert, Merris, Russell (1988)
Portugaliae mathematica
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Vanesa Cortés, Juan Peña, Tomas Sauer (2012)
Open Mathematics
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We present an extension of the QR method to simultaneously compute the joint eigenvalues of a finite family of commuting matrices. The problem is motivated by the task of finding solutions of a polynomial system. Several examples are included.
Laffey, Thomas J., Meehan, Eleanor (1998)
ELA. The Electronic Journal of Linear Algebra [electronic only]
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Trenkler, G., Trenkler, D. (2005)
Acta Mathematica Universitatis Comenianae. New Series
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Uhlig, Frank (1998)
ELA. The Electronic Journal of Linear Algebra [electronic only]
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Naqvi, Sarah Carnochan, McDonald, Judith J. (2002)
ELA. The Electronic Journal of Linear Algebra [electronic only]
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Hogben, Leslie (2005)
ELA. The Electronic Journal of Linear Algebra [electronic only]
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Francesco Tudisco (2015)
Special Matrices
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We investigate two ergodicity coefficients ɸ ∥∥ and τn−1, originally introduced to bound the subdominant eigenvalues of nonnegative matrices. The former has been generalized to complex matrices in recent years and several properties for such generalized version have been shown so far.We provide a further result concerning the limit of its powers. Then we propose a generalization of the second coefficient τ n−1 and we show that, under mild conditions, it can be used to recast the eigenvector...
Lancaster, Peter (1999)
ELA. The Electronic Journal of Linear Algebra [electronic only]
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Caughman, J.S., Veerman, J.J.P. (2006)
The Electronic Journal of Combinatorics [electronic only]
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Konstantinov, Mihail, Mehrmann, Volker, Petkov, Petko (2003)
Journal of Applied Mathematics
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Rafael Bru, Rafael Cantó, Ricardo Soto, Ana Urbano (2012)
Open Mathematics
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Given a square matrix A, a Brauer’s theorem [Brauer A., Limits for the characteristic roots of a matrix. IV. Applications to stochastic matrices, Duke Math. J., 1952, 19(1), 75–91] shows how to modify one single eigenvalue of A via a rank-one perturbation without changing any of the remaining eigenvalues. Older and newer results can be considered in the framework of the above theorem. In this paper, we present its application to stabilization of control systems, including the case when...