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 inLinear algebra and its applications Vol. 437; no. 7; pp. 1458 - 1481
Main Authors Branquinho, A., Marcellán, F., Mendes, A.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Inc 01.10.2012
Elsevier
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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.
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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Issue 7
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
Language English
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SSID ssj0004702
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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
URI https://dx.doi.org/10.1016/j.laa.2012.04.032
Volume 437
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