Quadrature formula and zeros of para-orthogonal polynomials on the unit circle
By L. Golinski. 2002
78 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computational Theory and Mathematics, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/1cd64ab9bc2d41d1e33551991455c3e22dcb3894
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In Applied Mathematics
- David Damanik
- Alexander Pushnitski
- Yoram Last
- Barry Simon
- Doron S. Lubinsky
- N. H. Bingham
- David Damanik
- Vilmos Totik
In Computational Theory and Mathematics
In Numerical Analysis
Citations in the corpus
- OPUC on one foot (2005, background): “rner. This implies that if β∈ ∂D, then Φ(β) N ≡ zΦN−1 − βΦ∗N −1 has all its zeros on ∂D since they are eigenvalues of a unitary matrix. The Φ(β) N are called paraorthogonal polynomials and studied in [31, 44, 37]. Dombrowski [20] proved that a Jacobi matrix with liminf an = 0 has no a.c. spectrum by”
- The Analytic Theory of Matrix Orthogonal Polynomials (2007, background): “sures on ∂D, they have a weak limit. By using limits, {ϕR j } ∞ j=0 are the right MOPUC for dµand they determine the proper Verblunsky coefficients. 3.8 Matrix POPUC Analogously to the scalar case (see [15, 100, 119, 172, 197]), given any unitary βin Ml, we define ϕR n (z;β) = zϕRn−1(z) −ϕ L,∗ n−1(z)β ”
- Two extensions of Lubinsky’s universality theorem (2008, background): “All our arguments extend with little change to finite gap OPUC and to zeros of paraorthogonal polynomials [3, 4, 11, 14, 32, 49].”
- FINE STRUCTURE OF THE ZEROS OF ORTHOGONAL POLYNOMIALS, I. A TALE OF TWO PICTURES (2004, unknown): “tions 8–13. We mention some examples in Section 13. 3. Stoiciu’s Resultson the Random Case Recall that given β∈ ∂Dand {Φn}∞ n=0, a set of orthogonal polynomials, the paraorthogonal polynomials (POPs) [18, 16] are defined by Φn(z;β) = zΦn−1(z) − β¯Φ∗ n−1(z) (3.1) They have all their zeros on ∂D(see, e”
- Fine Structure of the Zeros of Orthogonal Polynomials, IV. A Priori Bounds and Clock Behavior (2006, methodology): “sion of some bounds of Deift-Simon [8]. In Section 9, we discuss lower bounds on eigenvalue spacing. The methods in Sections 8 and 9 are borrowed from Erd¨os-Tur´an [9, 51], Nevai [34], and Golinskii [14], but we show how to localize them and squeeze out stronger results. In Section 10, we briefly di”
- The Christoffel-Darboux Kernel (2008, methodology): “The following theorem of Last–Simon [57], based on ideas of Golinskii [41], can be used on successive zeros (see [57] for the proof).”