Relative asymptotics for orthogonal matrix polynomials
In this paper we study sequences of matrix polynomials that satisfy a non-symmetric recurrence relation. To study this kind of sequences we use a vector interpretation of the matrix orthogonality. In the context of these sequences of matrix polynomials we introduce the concept of the generalized mat...
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Published in | Linear algebra and its applications Vol. 437; no. 7; pp. 1458 - 1481 |
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Language | English |
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01.10.2012
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Abstract | In this paper we study sequences of matrix polynomials that satisfy a non-symmetric recurrence relation. To study this kind of sequences we use a vector interpretation of the matrix orthogonality. In the context of these sequences of matrix polynomials we introduce the concept of the generalized matrix Nevai class and we give the ratio asymptotics between two consecutive polynomials belonging to this class. We study the generalized matrix Chebyshev polynomials and we deduce its explicit expression as well as we show some illustrative examples. The concept of a Dirac delta functional is introduced. We show how the vector model that includes a Dirac delta functional is a representation of a discrete Sobolev inner product. It also allows to reinterpret such perturbations in the usual matrix Nevai class. Finally, the relative asymptotics between a polynomial in the generalized matrix Nevai class and a polynomial that is orthogonal to a modification of the corresponding matrix measure by the addition of a Dirac delta functional is deduced. |
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AbstractList | In this paper we study sequences of matrix polynomials that satisfy a non-symmetric recurrence relation. To study this kind of sequences we use a vector interpretation of the matrix orthogonality. In the context of these sequences of matrix polynomials we introduce the concept of the generalized matrix Nevai class and we give the ratio asymptotics between two consecutive polynomials belonging to this class. We study the generalized matrix Chebyshev polynomials and we deduce its explicit expression as well as we show some illustrative examples. The concept of a Dirac delta functional is introduced. We show how the vector model that includes a Dirac delta functional is a representation of a discrete Sobolev inner product. It also allows to reinterpret such perturbations in the usual matrix Nevai class. Finally, the relative asymptotics between a polynomial in the generalized matrix Nevai class and a polynomial that is orthogonal to a modification of the corresponding matrix measure by the addition of a Dirac delta functional is deduced. |
Author | Branquinho, A. Mendes, A. Marcellán, F. |
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Cites_doi | 10.4153/CJM-1995-005-8 10.1016/0019-3577(90)90028-L 10.1016/S0024-3795(01)00327-5 10.1016/0019-3577(90)90013-D 10.1006/jath.1999.3351 10.1006/jath.1996.0007 10.1016/S0024-3795(01)00421-9 10.1137/0523038 10.1137/S0036141092226922 10.1080/10236190500539410 10.1016/0377-0427(95)00193-X 10.1006/jath.1998.3232 10.1007/s10440-010-9577-3 10.1137/050638230 10.1016/0024-3795(93)00218-O 10.1137/0502020 10.1216/rmjm/1181072155 10.1006/jath.2001.3557 10.4153/CJM-1996-062-4 10.1006/jath.2000.3544 10.1016/0377-0427(93)90318-6 10.1006/jath.1993.1055 |
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Keywords | 33C45 Asymptotic results 39B42 Matrix orthogonal polynomials Recurrence relation Tridiagonal operator Nevai class Linear functional Orthogonal matrix Polynomial matrix Chebyshev polynomial Functional equation Orthogonality Modeling Orthogonal polynomial Hypergeometric function Matrix polynomial Asymptotic approximation |
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Snippet | In this paper we study sequences of matrix polynomials that satisfy a non-symmetric recurrence relation. To study this kind of sequences we use a vector... |
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SubjectTerms | Algebra Asymptotic results Exact sciences and technology Linear and multilinear algebra, matrix theory Linear functional Mathematical analysis Mathematics Matrix orthogonal polynomials Nevai class Recurrence relation Sciences and techniques of general use Special functions Tridiagonal operator |
Title | Relative asymptotics for orthogonal matrix polynomials |
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