2012
DOI: 10.1016/j.jmaa.2011.11.077
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Interlacing properties of zeros of multiple orthogonal polynomials

Abstract: It is well known that the zeros of orthogonal polynomials interlace. In this paper we study the case of multiple orthogonal polynomials. We recall known results and some recursion relations for multiple orthogonal polynomials. Our main result gives a sufficient condition, based on the coefficients in the recurrence relations, for the interlacing of the zeros of neighboring multiple orthogonal polynomials. We give several examples illustrating our result.Comment: 18 page

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Cited by 30 publications
(29 citation statements)
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“…Let e i = (0, · · · , 0, 1, 0, · · · , 0) denote the i-th standard unit vector in r dimensions with 1 in the i-th entry. The multiple Meixner polynomials of the first kind obey [5] r recurrence relations of nearest-neighbor form that read as follows:…”
Section: Multiple Meixner Polynomials Of the First Kindmentioning
confidence: 99%
“…Let e i = (0, · · · , 0, 1, 0, · · · , 0) denote the i-th standard unit vector in r dimensions with 1 in the i-th entry. The multiple Meixner polynomials of the first kind obey [5] r recurrence relations of nearest-neighbor form that read as follows:…”
Section: Multiple Meixner Polynomials Of the First Kindmentioning
confidence: 99%
“…The next lemma follows from the proof of theorem 5 in [20] (see also [27]). Proof of theorem 4.1: condition (C).…”
Section: 7mentioning
confidence: 93%
“…The interlacing property for the zeros of polynomials orthogonal with respect to a Markov system proved by Kershaw with respect to Lebesgue measure in [47], and under a weak condition, with respect to the Borel measure in [38]. The same argument used in [43] to prove the interlacing property for the type II multiple OPS with respect to measures that form an AT system. Recall that a system of measures (µ 1 , ..., µ r ) forms an AT system for the set of integers (n 1 , ..., n r ) on [a, b] if the measures µ j are absolutely continuous with respect to a measure µ on [a, b], with dµ j (x) = ω j (x)dµ(x) and ω 1 , xω 1 , ..., x n 1 −1 ω 1 , ω 2 , ..., x nr−1 ω r is a Chebyshev system on [a, b] of order n = n 1 + ... + n r − 1 [48,60].…”
Section: Some Properties Of Zerosmentioning
confidence: 98%
“…We are interested in the zeros of OPS because of their important role mainly in interpolation and approximation theory, Gauss-Jacobi quadrature, spectral theory, and in image analysis and pattern recognition. The first real investigation of the zeros of multiple OPS was not performed till 2011, when Haneczok with Van Assche gave sufficient conditions for zeros of the latter class to be real and distinct [43], a result we shall build upon and generalize to the d-orthogonality with the aid of oscillation matrices which involves further, some interlacing properties.…”
Section: Introductionmentioning
confidence: 99%