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Symmetry, Integrability and Geometry: Methods and Applications, 2018, Volume 14, 056, 66 pp.
DOI: https://doi.org/10.3842/SIGMA.2018.056
(Mi sigma1355)
 

This article is cited in 3 scientific papers (total in 3 papers)

Asymptotics of Polynomials Orthogonal with respect to a Logarithmic Weight

Thomas Oliver Conway, Percy Deift

Department of Mathematics, Courant Institute of Mathematical Sciences, New York University, 251 Mercer Str., New York, NY 10012, USA
Full-text PDF (755 kB) Citations (3)
References:
Abstract: In this paper we compute the asymptotic behavior of the recurrence coefficients for polynomials orthogonal with respect to a logarithmic weight $w(x)\mathrm{d}x = \log \frac{2k}{1-x}\mathrm{d}x$ on $(-1,1)$, $k > 1$, and verify a conjecture of A. Magnus for these coefficients. We use Riemann–Hilbert/steepest-descent methods, but not in the standard way as there is no known parametrix for the Riemann–Hilbert problem in a neighborhood of the logarithmic singularity at $x=1$.
Keywords: orthogonal polynomials; Riemann–Hilbert problems; recurrence coefficients; steepest descent method.
Funding agency Grant number
National Science Foundation DMS # 1300965
The work of the second author was supported in part by DMS Grant # 1300965.
Received: November 29, 2017; in final form May 30, 2018; Published online June 12, 2018
Bibliographic databases:
Document Type: Article
MSC: 33C47; 34E05; 34M50
Language: English
Citation: Thomas Oliver Conway, Percy Deift, “Asymptotics of Polynomials Orthogonal with respect to a Logarithmic Weight”, SIGMA, 14 (2018), 056, 66 pp.
Citation in format AMSBIB
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\by Thomas~Oliver~Conway, Percy~Deift
\paper Asymptotics of Polynomials Orthogonal with respect to a Logarithmic Weight
\jour SIGMA
\yr 2018
\vol 14
\papernumber 056
\totalpages 66
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  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Symmetry, Integrability and Geometry: Methods and Applications
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    References:28
     
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