1999
DOI: 10.1006/jath.1998.3282
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A Uniform Asymptotic Formula for Orthogonal Polynomials Associated with exp(−x4)

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Cited by 12 publications
(5 citation statements)
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“…In our computations, we will only deal with the zero behavior in the positive real semi-axis, because the behavior in R − follows by reflection through the y-axis by symmetry reasons as usual. Thus, from (27), the positivity of K 2m−1 (0, 0; t), and Theorem 3 we are in the hypothesis of the Interlacing Lemma, and we immediately conclude the following results about monotonicity, asymptotics, and speed of convergence for the zeros of Q t 2m (x) in terms of the mass M . Let us define the monic polynomials…”
Section: Behavior and Monotonicity With M Of The Zeros Of Q Tsupporting
confidence: 69%
See 1 more Smart Citation
“…In our computations, we will only deal with the zero behavior in the positive real semi-axis, because the behavior in R − follows by reflection through the y-axis by symmetry reasons as usual. Thus, from (27), the positivity of K 2m−1 (0, 0; t), and Theorem 3 we are in the hypothesis of the Interlacing Lemma, and we immediately conclude the following results about monotonicity, asymptotics, and speed of convergence for the zeros of Q t 2m (x) in terms of the mass M . Let us define the monic polynomials…”
Section: Behavior and Monotonicity With M Of The Zeros Of Q Tsupporting
confidence: 69%
“…From now on, we will refer to this technique as the Interlacing Lemma. Here the linear combination of two polynomials of the same degree 2m is given by (27), and F t 2m , G 2m play the role of h n (x), g n (x) respectively. In order to apply this technique, we need to show that the hypotheses of the Interlacing Lemma are fulfilled.…”
Section: Behavior and Monotonicity With M Of The Zeros Of Q Tmentioning
confidence: 99%
“…which is (24). On the other hand, shifting the index n → 2n, and taking into account (22) we obtain (25).…”
Section: Propositionmentioning
confidence: 99%
“…Let P denote the linear space of real polynomials and consider the inner product p, q = R p(x)q(x)dµ(x), p, q ∈ P, (1) where µ is a symmetric positive measure supported in some (symmetric with respect to the origin) subset of R. It is easy to see that the associated sequence of monic orthogonal polynomials (MOPS in short) have a symmetry property, i.e., the even degree polynomials are even functions and the odd degree polynomials are odd functions. When dµ(x) = ω(x)dx = e −V(x) dx, where V(x) is an even polynomial with positive leading coefficient, the corresponding sequences of polynomials are the so-called Freud type orthogonal polynomials, currently the subject of intense analysis for several choices of the function V(x) (see, for example [1][2][3][4][5][6][7][8], among many others).…”
Section: Introductionmentioning
confidence: 99%