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Eigenvalues of Finite Band-Width Hilbert Space Operators and Their Application to Orthogonal Polynomials

Published online by Cambridge University Press:  20 November 2018

Attila Máté
Affiliation:
Florida International University, Miami, Florida
Paul Nevai
Affiliation:
Florida International University, Miami, Florida
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The main result of this paper concerns the eigenvalues of an operator in the Hilbert space l2that is represented by a matrix having zeros everywhere except in a neighborhood of the main diagonal. Write (c)+ for the positive part of a real number c, i.e., put (c+ = cif c≧ 0 and (c)+=0 otherwise. Then this result can be formulated as follows. Theorem 1.1. Let k ≧ 1 be an integer, and consider the operator S on l2 such that

Type
Research Article
Copyright
Copyright © Canadian Mathematical Society 1989

References

1. Agranovich, Z.S. and Marchenko, V.A., The inverse problem of scattering theory (Gordon and Breach, New York-London, 1963).Google Scholar
2. Bargmann, V., On the number of bound states in a central field of force, Proc. Nat. Acad. Sci. U.S.A. 38 (1952), 961966.Google Scholar
3. Chihara, T.S., Orthogonal polynomials whose distribution functions have finite point spectra, SIAM J. Math. Anal. 11 (1980), 358364.Google Scholar
4. Chihara, T.S. and Nevai, P., Orthogonal polynomials and measures with finitely many point masses, J. Approx. Theory 35 (1982), 370380.Google Scholar
5. Dunford, N. and Schwartz, J.T., Linear operators. Part I: General theory (Interscience Publishers, London, 1958).Google Scholar
6. Dunford, N. and Schwartz, J.T., Linear operators. Part II: Spectral theory. Self adjoint operators in Hilbert space (Interscience Publishers, New York-London, 1963).Google Scholar
7. Freud, G., Orthogonal polynomials (Akadémiai Kiadô, Budapest, and Pergamon Press, New York, 1971).Google Scholar
8. Geronimo, J.S., An upper bound on the number of eigenvalues of an infinite dimensional Jacobi matrix, J. Math. Phys. 23 (1982), 917921.Google Scholar
9. Geronimo, J.S., On the spectra of infinite dimensional Jacobi matrices, J. Approx. Theory 53 (1988), 251265.Google Scholar
10. Geronimo, J.S. and Case, K.M., Scattering theory and polynomials orthogonal on the real line, Trans. Amer. Math. Soc. 258 (1980), 467494.Google Scholar
11. Guseĭnov, G.Š., The determination of an infinite Jacobi matrix from the scattering data, Soviet Math. Dokl. 17 (1976), 596600. Russian original: Dokl. Akad. Nauk SSSR 227 (1976), 12891292.Google Scholar
12. Máté, A., Nevai, P., and Totik, V., Twisted difference operators and perturbed Chebyshev polynomials, Duke Math. J. 57 (1988), 301331.Google Scholar
13. Naĭman, P. B., On the set of isolated points of increase of the spectral function pertaining to a limit-constant Jacobi matrix, Izv. Vyss. Ucebn. Zaved. Matematika / (1959), 129135.(in Russian).Google Scholar
14. Nikishin, E.M., Discrete Sturm-Liouville operators and some problems of the theory of functions (Trudy Seminara imeni I.G. Petrovskogo 10, Moscow University Press, 1984) (in Russian).Google Scholar
15. Riesz, F. and Sz.-Nagy, B., Functional analysis (Ungar, New York, 1955). French original: Leçons d'analyse fonctionelle (Akadémiai Kiadô, Budapest, 1952).Google Scholar
16. Stone, M.H., Linear transformations in Hilbert space and their applications to analysis (Amer. Math. Soc, Providence, Rhode Island, 1932).Google Scholar
17. Szegö, G., Orthogonal polynomials, 4th éd. Amer. Math. Soc. Colloquium Publ. 23, Providence, Rhode Island, 1975.Google Scholar