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2007
DOI: 10.1016/j.cam.2005.08.047
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On the eigenvalues of some tridiagonal matrices

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Cited by 77 publications
(36 citation statements)
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“…Meet matrices were defined by Rajarama Bhat [20] for the first time and in this same article MIN matrices are considered as an example. da Fonseca [7] studies the eigenvalues of certain MIN and MAX matrices via their matrix inverses, and in [9] bounds for the values of trigonometric functions are found by underestimating the smallest eigenvalue of a MIN matrix. Also the connection between generalized Fibonacci numbers and the characteristic polynomials of MIN and MAX matrices have been studied recently, see [2].…”
Section: Introductionmentioning
confidence: 99%
“…Meet matrices were defined by Rajarama Bhat [20] for the first time and in this same article MIN matrices are considered as an example. da Fonseca [7] studies the eigenvalues of certain MIN and MAX matrices via their matrix inverses, and in [9] bounds for the values of trigonometric functions are found by underestimating the smallest eigenvalue of a MIN matrix. Also the connection between generalized Fibonacci numbers and the characteristic polynomials of MIN and MAX matrices have been studied recently, see [2].…”
Section: Introductionmentioning
confidence: 99%
“…Both spectral expressions generalize many particular cases known in the literature, as for example it can be seen in [5,7,[9][10][11][12]14,[28][29][30][31][32][33].…”
Section: Preliminariesmentioning
confidence: 52%
“…, N, (26) where the phase, defined in the interval φ 1 λ (k) ∈] − π 2 , π 2 ], represents the momentum shift in relation to the usual φ 1 λ (k) = 0 case, for which one recovers k n = nπ N +1 . For every band λ we solve (26) for each n to find the set of allowed k n values within the Reduced Brillouin Zone (RBZ), k n ∈ [0, π[. An example of the geometrical determination of the k states, for a system with N = 10 unit cells and δ = π 2 , is shown in Fig.…”
Section: Ssh4 Modelmentioning
confidence: 99%