Research Article

On matching distance between eigenvalues of unbounded operators

Volume: 5 Number: 1 March 14, 2022
EN

On matching distance between eigenvalues of unbounded operators

Abstract

Let AA and ~AA~ be linear operators on a Banach space having compact resolvents, and let λk(A)λk(A) and λk(~A)(k=1,2,)λk(A~)(k=1,2,…) be the eigenvalues taken with their algebraic multiplicities of AA and ~AA~, respectively. Under some conditions, we derive a bound for the quantity md(A,~A):=infπsupk=1,2,λπ(k)(~A)λk(A)∣,md⁡(A,A~):=infπsupk=1,2,…|λπ(k)(A~)−λk(A)|, where ππ is taken over all permutations of the set of all positive integers. That quantity is called the matching optimal distance between the eigenvalues of AA and ~AA~. Applications of the obtained bound to matrix differential operators are also discussed.

Keywords

References

  1. B. Abdelmoumen, A. Jeribi and M. Mnif: Invariance of the Schechter essential spectrum under polynomially compact operator perturbation, Extracta Math., 26 (1) (2011), 61–73.
  2. P. Aiena, S. Triolo: Some perturbation results through localized SVEP, Acta Sci. Math. (Szeged), 82 (1–2) (2016), 205–219.
  3. A. D. Baranov, D. V. Yakubovich: Completeness of rank one perturbations of normal operators with lacunary spectrum, J. Spectr. Theory, 8 (1) (2018), 1–32.
  4. S. Buterin, S.V. Vasiliev: On uniqueness of recovering the convolution integro-differential operator from the spectrum of its non-smooth one-dimensional perturbation, Bound. Value Probl., (2018), Paper No. 55, 12 pp.
  5. W. Chaker, A. Jeribi and B. Krichen: Demicompact linear operators, essential spectrum and some perturbation results, Math. Nachr., 288 (13) (2015), 1476–1486.
  6. N. Dunford, J.T. Schwartz: Linear Operators, part I. General Theory,Wiley Interscience publishers, New York (1966).
  7. M. I. Gil: Perturbations of operators on tensor products and spectrum localization of matrix differential operators, J. Appl. Funct. Anal., 3 (3) (2008), 315–332.
  8. M. I. Gil: Spectral approximations of unbounded non-selfadjoint operators, Analysis and Mathem. Physics, 3 (1) (2013), 37–44.

Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Publication Date

March 14, 2022

Submission Date

January 20, 2022

Acceptance Date

March 10, 2022

Published in Issue

Year 2022 Volume: 5 Number: 1

APA
Gil, M. (2022). On matching distance between eigenvalues of unbounded operators. Constructive Mathematical Analysis, 5(1), 46-53. https://doi.org/10.33205/cma.1060718
AMA
1.Gil M. On matching distance between eigenvalues of unbounded operators. CMA. 2022;5(1):46-53. doi:10.33205/cma.1060718
Chicago
Gil, Micheal. 2022. “On Matching Distance Between Eigenvalues of Unbounded Operators”. Constructive Mathematical Analysis 5 (1): 46-53. https://doi.org/10.33205/cma.1060718.
EndNote
Gil M (March 1, 2022) On matching distance between eigenvalues of unbounded operators. Constructive Mathematical Analysis 5 1 46–53.
IEEE
[1]M. Gil, “On matching distance between eigenvalues of unbounded operators”, CMA, vol. 5, no. 1, pp. 46–53, Mar. 2022, doi: 10.33205/cma.1060718.
ISNAD
Gil, Micheal. “On Matching Distance Between Eigenvalues of Unbounded Operators”. Constructive Mathematical Analysis 5/1 (March 1, 2022): 46-53. https://doi.org/10.33205/cma.1060718.
JAMA
1.Gil M. On matching distance between eigenvalues of unbounded operators. CMA. 2022;5:46–53.
MLA
Gil, Micheal. “On Matching Distance Between Eigenvalues of Unbounded Operators”. Constructive Mathematical Analysis, vol. 5, no. 1, Mar. 2022, pp. 46-53, doi:10.33205/cma.1060718.
Vancouver
1.Micheal Gil. On matching distance between eigenvalues of unbounded operators. CMA. 2022 Mar. 1;5(1):46-53. doi:10.33205/cma.1060718

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