Abstract
We consider the nonlinear two parameter eigenvalue problem (T p − λ 1 A p1 − λ 2 A p2 − λ 1 λ 2 A p3)v p = 0, where λ 1, λ 2 ∈C; T p, A pk (p = 1, 2;k = 1, 2, 3) are matrices. Bounds for the spectral radius of that problem are suggested. Our main tool is the recent norm estimates for the resolvent of an operator on the tensor product of Euclidean spaces. In addition, we investigate perturbations of the considered problem and derive a Gershgorin type bounds for the spectrum. It is shown that the main result of the paper is sharp.
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References
F.V. Atkinson, Multiparameter Eigenvalue Problems (Academic, New York, 1972)
R. Bhatia, Perturbation Bounds for Matrix Eigenvalues. Classics in Applied Mathematics, vol. 53 (SIAM, Philadelphia, 2007)
R. Bhatia, M. Uchiyama, The operator equation \(\sum _{i=1}^n A^{n-i}XB^i=Y\). Expo. Math. 27, 251–255 (2009)
D. Bindel, A. Hood, Localization theorems for nonlinear eigenvalue problems. SIAM J. Matrix Anal. Appl. 34(4), 1728–1749 (2013)
D. Bindel, A. Hood, Localization theorems for nonlinear eigenvalue problems. SIAM Rev. 57(4), 585–607 (2015)
P. Binding, P.J. Browne, A variational approach to multiparameter eigenvalue problems for matrices. SIAM J. Math. Anal. 8, 763–777 (1977)
P. Binding, P.J. Browne, A variational approach to multiparameter eigenvalue problems in Hilbert space. SIAM J. Math. Anal. 9, 1054–1067 (1978)
N. Cottin, Dynamic model updating a multiparameter eigenvalue problem. Mech. Syst. Signal Process. 15, 649–665 (2001)
M. Faierman, Two-Parameter Eigenvalue Problems in Ordinary Differential Equations. Pitman Research Notes in Mathematics Series, vol. 205 (Longman Scientific and Technical, Harlow, 1991)
M.I. Gil’, Operator Functions and Localization of Spectra. Lecture Notes in Mathematics, vol. 1830 (Springer, Berlin, 2003)
M.I. Gil’, On spectral variation of two-parameter matrix eigenvalue problem. Publ. Math. Debrecen 87(3–4), 269–278 (2015)
M.I. Gil’, Bounds for the spectrum of a two parameter matrix eigenvalue problem. Linear Algebra Appl. 498, 201–218 (2016)
M.E. Hochstenbach, B. Plestenjak, Harmonic Rayleigh-Ritz extraction for the multiparameter eigenvalue problem. Electron. Trans. Numer. Anal. 29, 81–96 (2007/2008)
M.E. Hochstenbach, A. Muhic̆, B. Plestenjak, On linearizations of the quadratic two-parameter eigenvalue problem. Linear Algebra Appl. 436(8), 2725–2743 (2012)
R.A. Horn, C.R. Johnson, Topics in Matrix Analysis (Cambridge University Press, Cambridge, 1991)
G.A. Isaev, Lectures on Multiparameter Spectral Theory, Dept. of Mathematics and Statistics. Univ. of Calgary (1985)
E. Jarlebring, M.E. Hochstenbach, Polynomial two-parameter eigenvalue problems and matrix pencil methods for stability of delay-differential equations. Algebra Appl. 431, 369–380 (2009)
V.B. Khazanov, To solving spectral problems for multiparameter polynomial matrices. J. Math. Sci. 141, 1690–1700 (2007)
T. Kos̆ir, Finite dimensional multiparameter spectral theory: the nonderogatory case. Algebra Appl. 212/213, 45–70 (1994)
C.Q. Li, Y.T. Li, X. Kong, New eigenvalue inclusion sets for tensors. Numer. Linear Algebra Appl. 21, 39–50 (2014)
M. Marcus, H. Minc, A Survey of Matrix Theory and Matrix Inequalities (Allyn and Bacon, Boston, 1964)
A. Muhic̆, B. Plestenjak, On the quadratic two-parameter eigenvalue problem and its linearization. Linear Algebra Appl. 432, 2529–2542 (2010)
L.Q. Qi, Eigenvalues of a real supersymmetric tensor. J. Symb. Comput. 40, 1302–1324 (2005)
H. Volkmer, On the minimal eigenvalue of a positive definite operator determinant. Proc. R. Soc. Edinb. Sect. A 103, 201–208 (1986)
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Gil’, M. (2018). On the Spectrum of a Nonlinear Two Parameter Matrix Eigenvalue Problem. In: Rassias, T. (eds) Applications of Nonlinear Analysis . Springer Optimization and Its Applications, vol 134. Springer, Cham. https://doi.org/10.1007/978-3-319-89815-5_13
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DOI: https://doi.org/10.1007/978-3-319-89815-5_13
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