Skip to main content

On the Spectrum of a Nonlinear Two Parameter Matrix Eigenvalue Problem

  • Chapter
  • First Online:
Book cover Applications of Nonlinear Analysis

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 134))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. F.V. Atkinson, Multiparameter Eigenvalue Problems (Academic, New York, 1972)

    MATH  Google Scholar 

  2. R. Bhatia, Perturbation Bounds for Matrix Eigenvalues. Classics in Applied Mathematics, vol. 53 (SIAM, Philadelphia, 2007)

    Google Scholar 

  3. R. Bhatia, M. Uchiyama, The operator equation \(\sum _{i=1}^n A^{n-i}XB^i=Y\). Expo. Math. 27, 251–255 (2009)

    Google Scholar 

  4. D. Bindel, A. Hood, Localization theorems for nonlinear eigenvalue problems. SIAM J. Matrix Anal. Appl. 34(4), 1728–1749 (2013)

    Article  MathSciNet  Google Scholar 

  5. D. Bindel, A. Hood, Localization theorems for nonlinear eigenvalue problems. SIAM Rev. 57(4), 585–607 (2015)

    Article  MathSciNet  Google Scholar 

  6. P. Binding, P.J. Browne, A variational approach to multiparameter eigenvalue problems for matrices. SIAM J. Math. Anal. 8, 763–777 (1977)

    Article  MathSciNet  Google Scholar 

  7. P. Binding, P.J. Browne, A variational approach to multiparameter eigenvalue problems in Hilbert space. SIAM J. Math. Anal. 9, 1054–1067 (1978)

    Article  MathSciNet  Google Scholar 

  8. N. Cottin, Dynamic model updating a multiparameter eigenvalue problem. Mech. Syst. Signal Process. 15, 649–665 (2001)

    Article  Google Scholar 

  9. M. Faierman, Two-Parameter Eigenvalue Problems in Ordinary Differential Equations. Pitman Research Notes in Mathematics Series, vol. 205 (Longman Scientific and Technical, Harlow, 1991)

    Google Scholar 

  10. M.I. Gil’, Operator Functions and Localization of Spectra. Lecture Notes in Mathematics, vol. 1830 (Springer, Berlin, 2003)

    Google Scholar 

  11. M.I. Gil’, On spectral variation of two-parameter matrix eigenvalue problem. Publ. Math. Debrecen 87(3–4), 269–278 (2015)

    Article  MathSciNet  Google Scholar 

  12. M.I. Gil’, Bounds for the spectrum of a two parameter matrix eigenvalue problem. Linear Algebra Appl. 498, 201–218 (2016)

    Article  MathSciNet  Google Scholar 

  13. M.E. Hochstenbach, B. Plestenjak, Harmonic Rayleigh-Ritz extraction for the multiparameter eigenvalue problem. Electron. Trans. Numer. Anal. 29, 81–96 (2007/2008)

    MathSciNet  MATH  Google Scholar 

  14. M.E. Hochstenbach, A. Muhic̆, B. Plestenjak, On linearizations of the quadratic two-parameter eigenvalue problem. Linear Algebra Appl. 436(8), 2725–2743 (2012)

    Article  MathSciNet  Google Scholar 

  15. R.A. Horn, C.R. Johnson, Topics in Matrix Analysis (Cambridge University Press, Cambridge, 1991)

    Book  Google Scholar 

  16. G.A. Isaev, Lectures on Multiparameter Spectral Theory, Dept. of Mathematics and Statistics. Univ. of Calgary (1985)

    Google Scholar 

  17. 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)

    Article  MathSciNet  Google Scholar 

  18. V.B. Khazanov, To solving spectral problems for multiparameter polynomial matrices. J. Math. Sci. 141, 1690–1700 (2007)

    Article  MathSciNet  Google Scholar 

  19. T. Kos̆ir, Finite dimensional multiparameter spectral theory: the nonderogatory case. Algebra Appl. 212/213, 45–70 (1994)

    Google Scholar 

  20. C.Q. Li, Y.T. Li, X. Kong, New eigenvalue inclusion sets for tensors. Numer. Linear Algebra Appl. 21, 39–50 (2014)

    Article  MathSciNet  Google Scholar 

  21. M. Marcus, H. Minc, A Survey of Matrix Theory and Matrix Inequalities (Allyn and Bacon, Boston, 1964)

    MATH  Google Scholar 

  22. A. Muhic̆, B. Plestenjak, On the quadratic two-parameter eigenvalue problem and its linearization. Linear Algebra Appl. 432, 2529–2542 (2010)

    Google Scholar 

  23. L.Q. Qi, Eigenvalues of a real supersymmetric tensor. J. Symb. Comput. 40, 1302–1324 (2005)

    Article  MathSciNet  Google Scholar 

  24. H. Volkmer, On the minimal eigenvalue of a positive definite operator determinant. Proc. R. Soc. Edinb. Sect. A 103, 201–208 (1986)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael Gil’ .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

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

Download citation

Publish with us

Policies and ethics