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Exact solutions of Dirac equation for hydrogen atom using the linear combination of orthogonal Laguerre basis functions. [PDF]
Wu S.
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Hermitean Matrix Ensembles and Orthogonal Polynomials
Studies in Applied Mathematics, 1998In this article, we investigate orthogonal polynomials associated with complex Hermitean matrix ensembles using the combination of the methods of Coulomb fluid (or potential theory), chain sequences, and Birkhoff–Trjitzinsky theory. We give a general formula for the largest eigenvalue of the N×N Jacobi matrices (which is equivalent to estimating the ...
Chen, Yang, Ismail, Mourad E. H.
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2003
This chapter is devoted to proving a matrix version of Krein’s Theorem. The proof relies on methods that are different from those used in the scalar case.
Robert L. Ellis, Israel Gohberg
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This chapter is devoted to proving a matrix version of Krein’s Theorem. The proof relies on methods that are different from those used in the scalar case.
Robert L. Ellis, Israel Gohberg
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On Orthogonal Matrix Polynomials
1988This paper contains a generalization of M.G. Krein’s theorem about the distribution of zeros of orthogonal polynomials for the matrix-valued case. The proof is based on the theory of rational matrix-valued functions unitary on the unit circle.
Daniel Alpay, Israel Gohberg
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Orthogonal Matrix Laurent Polynomials
Mathematical Notes, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Modified Moments and Matrix Orthogonal Polynomials
Acta Applicandae Mathematica, 2000It is known that, in the scalar case, a good via to compute recurrence coefficients of polynomials orthogonal with respect to a nonnegative measure is the modified Chebyshev algorithm [cf. \textit{R. A. Sack} and \textit{A. F. Donavan}, Numer. Math. 18, 465-478 (1972; Zbl 0221.65041)]. This algorithm, recently extended to the vector case [cf.
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Markov's Theorem for Orthogonal Matrix Polynomials
Canadian Journal of Mathematics, 1996AbstractMarkov's Theorem shows asymptotic behavior of the ratio between the n-th orthonormal polynomial with respect to a positive measure and the n-th polynomial of the second kind. In this paper we extend Markov's Theorem for orthogonal matrix polynomials.
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1990
An overview is given of some classical and recent results concerning zeros of orthogonal matrix polynomials on the unit circle. The basic questions are: How these zeros are located in the complex plane? Conversely, what conditions on the location of the zeros of a given matrix polynomial ensure that the polynomial is orthogonal?
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An overview is given of some classical and recent results concerning zeros of orthogonal matrix polynomials on the unit circle. The basic questions are: How these zeros are located in the complex plane? Conversely, what conditions on the location of the zeros of a given matrix polynomial ensure that the polynomial is orthogonal?
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