Orthogonal Matrix Polynomials: Zeros and Blumenthal's Theorem
β Scribed by Antonio J. Duran; Pedro Lopez-Rodriguez
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 730 KB
- Volume
- 84
- Category
- Article
- ISSN
- 0021-9045
No coin nor oath required. For personal study only.
β¦ Synopsis
In this paper, we establish a quadrature formula and some basic properties of the zeros of a sequence (P n ) n of orthogonal matrix polynomials on the real line with respect to a positive definite matrix of measures. Using these results, we show how to get an orthogonalizing matrix of measures for a sequence (P n ) n satisfying a matrix three-term recurrence relation. We prove Blumenthal's theorem for orthogonal matrix polynomials describing the support of the orthogonalizing matrix of measures in case the matrix recurrence coefficients associated with these matrix polynomials tend to matrix limits having the same entries on every diagonal.
π SIMILAR VOLUMES
Using potential theoretic methods we study the asymptotic distribution of zeros and critical points of Sobolev orthogonal polynomials, i.e., polynomials orthogonal with respect to an inner product involving derivatives. Under general assumptions it is shown that the critical points have a canonical
Zeros of orthogonal polynomials defined with respect to general measures are studied. It is shown that a certain estimate for the minimal distance between zeros holds if and only if the support \(F\) of the measure satisfies a homogeneity condition and Markov's inequality holds on \(F\). C 1994 Acad